{ "count" : 36863, "data" : [ { "id" : "6a0f529b58b93c861e052fca", "title" : "Sr. Manager, Customer Performance & Insights", "company" : "Hyundai Capital America", "location" : "United States-California-Irvine", "locations" : [ "United States-California-Irvine", "
Headquarters 1 (HCA_HQ1)
3161 Michelson Dr. Ste 1900
Irvine, 92612

" ], "timestamp" : "2026-06-15T13:57:07.233", "fingerprint" : "71c876584c8bc802443fa6a9717e593495b85bf227c1884721d5d702f910419a", "source" : "taleo", "applyUrl" : "https://hyundaicapital.taleo.net/careersection/ex/jobdetail.ftl?job=116564", "externalId" : "116564", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Irvine", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid" } ], "locationText" : "Irvine, California, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor", "experienceMinYears" : 8, "experienceLevel" : "Manager", "technicalSkills" : "SQL, Python", "professionalSkills" : [ "Customer experience, financing, leasing, insurance solutions." ], "hardSkillsList" : [ "SQL", "Python" ], "softSkillsList" : [ "leadership" ], "hardSkills" : [ { "name" : "SQL", "level" : "intermediate" }, { "name" : "Python", "level" : "intermediate" } ], "softSkills" : [ { "name" : "leadership" } ], "majorSkills" : "customer insights, CX analytics, predictive analytics, stakeholder management, leadership", "majorSkillsList" : [ "customer insights, CX analytics, predictive analytics, stakeholder management, leadership" ], "coreResponsibilities" : "Responsible for delivering a comprehensive, real-time view of customer experience performance across the enterprise. Builds and oversees the full ecosystem of customer feedback to uncover actionable insights, identify experience gaps, and guide business stakeholders toward data-driven, customer-focused improvements.", "teamCollaboration" : "Facilitate cross-functional alignment and embed customer-driven decision-making.", "toolProficiency" : [ "Glassbox, Microsoft Office" ], "communicationSkills" : "executive-level communication; storytelling; executive presentation", "problemSolvingSkills" : "analytical; problem-solving", "specialRequirements" : "Work model is onsite 4 days a week. Compliance with all applicable federal, state, and local equal employment opportunity laws. California Privacy Notice provided.", "outcomesObjectives" : "Identify customer pain points and journey friction by connecting insights across touchpoints, behavioral data, and feedback signals. Develop dashboards, scorecards, and executive reporting that shift from reactive reporting to proactive, predictive CX management. Establish proactive monitoring and predictive analytics to detect emerging CX risks. Design and manage closed-loop feedback systems to ensure resolution and measurable improvements.", "qualificationsBasic" : "8+ years in customer insights, CX analytics, research, VoC, or CX strategy. 3+ years of leadership experience. Predictive analytics experience related to customer behavior or journey risk. Experience managing qualitative, quantitative, and behavioral research programs. Proven ability to influence senior stakeholders and lead cross-functional initiatives. Executive-level communication experience. Bachelor’s degree in relevant field required.", "qualificationsPreferred" : "Advanced degree preferred. Familiarity with CX tools (e.g., Glassbox).", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Job Title: Sr. Manager, Customer Performance & Insights Hyundai Capital America (HCA) helps people move forward. Through Hyundai Motor Finance, Genesis Finance, and Kia Finance, we deliver innovative financing, leasing, and insurance solutions to more than 3 million customers and businesses nationwide. We’re a company driven by growth, innovation, and people. At HCA, you’ll find opportunities to build new skills, expand your career, and make a real impact—while working in a diverse, inclusive, and values driven environment. We’re proud to support our communities through volunteerism, philanthropy, and engaged Employee Resource Groups. If you’re looking for a fast paced, collaborative workplace where your ideas matter, join us as we lead the future of financing freedom of movement. Apply today. WORK MODEL #LI-OnSite (4 days a week) WHAT YOU WILL DO The Sr. Manager, Customer Performance & Insights is a strategic analytics leader responsible for delivering a comprehensive, real-time view of customer experience performance across the enterprise. This role builds and oversees the full ecosystem of customer feedback—both stated and unstated—to uncover actionable insights, identify experience gaps, and guide business stakeholders toward data-driven, customer-focused improvements. HOW YOU WILL MAKE AN IMPACT Own and evolve the enterprise CX Health measurement framework, integrating feedback across channels to deliver a holistic view of customer experience Identify customer pain points and journey friction by connecting insights across touchpoints, behavioral data, and feedback signals Develop dashboards, scorecards, and executive reporting that shift from reactive reporting to proactive, predictive CX management Lead customer research and analytics programs, translating findings into actionable, prioritized recommendations Integrate insights from social media, call centers, complaints, operational data, and tools like Glassbox Establish proactive monitoring and predictive analytics to detect emerging CX risks Facilitate cross-functional alignment and embed customer-driven decision-making Design and manage closed-loop feedback systems to ensure resolution and measurable improvements Influence senior stakeholders through storytelling and data-backed recommendations Lead, mentor, and develop a high-performing team WHAT YOU WILL BRING TO THE ROLE Experience: 8+ years in customer insights, CX analytics, research, VoC, or CX strategy 3+ years of leadership experience Predictive analytics experience related to customer behavior or journey risk Experience managing qualitative, quantitative, and behavioral research programs Proven ability to influence senior stakeholders and lead cross-functional initiatives Executive-level communication experience Education: Bachelor’s degree in relevant field required Advanced degree preferred Skills & Knowledge: Expertise in customer insights, VoC, and CX measurement Strong analytical and problem-solving skills Experience with SQL, Python, or predictive modeling tools Ability to translate data into actionable strategies Familiarity with CX tools (e.g., Glassbox) Strong storytelling and executive presentation skills Stakeholder management in matrixed environments Advanced Excel and Microsoft Office skills Strong communication and leadership abilities WE TAKE CARE OF OUR PEOPLE Along with competitive pay, as an employee of HCA, you are eligible for: · Medical, dental, and vision plans with no-cost and low-cost options · Annual employer HSA contribution · 401(k) matching and immediate vesting · Vehicle purchase and lease discounts, plus monthly vehicle allowances by job level: o Associate / Sr. Associate: $350 o Manager / Sr. Manager: $600 o Director: $800 o Executive Director: $900 o VP or Above: $1,000 · 100% employer-paid life and disability insurance · No-cost health and wellbeing programs, including a gym benefit · Six weeks of paid parental leave · Paid Volunteer Time Off, plus a company donation to a charity of your choice WHAT HAPPENS NEXT Express your interest by submitting an application. Our recruiting team will review your application to assess alignment with the role. Visit our careers page to learn more about our culture. OTHER DETAILS Work Environment & Physical Requirements: Extended sitting, standing, and screen time in a hybrid work environment (office and remote). Our Company is an equal opportunity employer committed to fostering a diverse, inclusive, and respectful workplace—because we believe diversity builds stronger teams. We comply with all applicable federal, state, and local equal employment opportunity laws and do not discriminate on the basis of race, religion or creed, color, national origin, ancestry, caste, citizenship, sex or gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, medical condition, genetic information, marital status, family care or medical leave status, military or veteran status, political affiliation, or any other characteristic protected by law. Information provided during the application process is requested in good faith and will be used solely in accordance with applicable employment laws. California Privacy Notice This notice only applies to our applicants who reside in the State of California. The latest version of our Privacy Policy can be found here . This Privacy Policy provides you with notice, at or before the point of collection, about the categories of personal information to be collected from you, the purposes for which your personal information is collected or used, and whether that information is sold or shared, so that you can exercise meaningful control over our use of your personal information. We are providing this notice to comply with the California Consumer Privacy Act of 2018, as amended as amended by the California Privacy Rights Act of 2020 (“CCPA”). If you have any questions about CCPA regarding California residents or HCA team members, please contact the Privacy Team at Privacy2@hcs.com . United States-California-Irvine", "summaryDescription" : "Sr. Manager, Customer Performance & Insights at Hyundai Capital America. Skills: customer insights, CX analytics, predictive analytics, stakeholder management, leadership. Responsible for delivering a comprehensive, real-time view of customer experience performance across the enterprise. Builds and oversees the full ecosystem of customer feedback to uncover actionable insights, identify experience gaps, and guide business stakeholders toward data-driven, customer-focused improvements.", "createdAt" : "2026-06-14T20:47:45.690", "lastUpdated" : "2026-06-15T13:57:07.233", "ingestTimestamp" : "2026-06-14T20:47:45.690", "mongoId" : "6a0f529b58b93c861e052fca", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "SQL", "Python", "leadership", "customer insights, CX analytics, predictive analytics, stakeholder management, leadership", "Customer experience, financing, leasing, insurance solutions.", "Glassbox, Microsoft Office" ], "skillCount" : 6, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2a515474d8ee00a05f6146", "title" : "Performance Insights & Automation Analyst", "company" : "Tala", "industry" : "Customer Shared Services", "salary" : { "min" : 1200000.0, "max" : 1800000.0, "currency" : "PHP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Performance Insights & Automation Analyst in the FinTech industry in the Philippines, adjusted for company size and location." }, "location" : "Philippines", "locations" : [ "Philippines" ], "timestamp" : "2026-06-15T00:07:40.221", "fingerprint" : "aa9c835b68eee733e33eabfb10167ef38e09f29bbc92e3ad48a652f76148784e", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/tala/f346e8e0-e5a8-4293-a1d0-d5fb1e1a8403/apply", "externalId" : "f346e8e0-e5a8-4293-a1d0-d5fb1e1a8403", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Philippines", "continent" : "as", "workMode" : "onsite" } ], "locationText" : "Philippines", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL, Looker, Snowflake, Tableau, Gemini", "professionalSkills" : [ "Performance analysis", "Data synthesis", "Business recommendations", "Data governance", "Metric standardization" ], "hardSkillsList" : [ "Predictive modeling", "Data visualization", "Automated reporting" ], "hardSkills" : [ { "name" : "Predictive modeling", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Automated reporting", "level" : "intermediate" } ], "majorSkills" : "Performance Insights, Automation, AI Analytics", "majorSkillsList" : [ "Performance Insights", "Automation", "AI Analytics" ], "coreResponsibilities" : "Architect automated data pipelines, Maintain automated data pipelines, Integrate AI analytics, Generate automated reports, Synthesize automated insights, Provide reporting support, Conduct performance deep dives, Identify trends, Connect trends to insights, Build predictive models, Estimate staffing needs, Lead data-driven initiatives, Reduce manual reporting time, Design self-service dashboards, Monitor real-time performance, Monitor historical performance, Establish data governance, Maintain data governance, Standardize metric definitions, Ensure data consistency", "domainKnowledge" : "Credit infrastructure; Thin-file borrowers; Workforce management", "domainList" : [ "credit-infrastructure", "thin-file-borrowers", "workforce-management" ], "domainSpecificKnowledge" : [ "Credit infrastructure", "Thin-file borrowers", "Workforce management" ], "toolProficiency" : [ "Looker", "Snowflake", "Tableau", "Gemini" ], "communicationSkills" : "Business recommendations", "problemSolvingSkills" : "Analytical thinking; Synthesize complex datasets", "qualificationsBasic" : "Advanced SQL proficiency, Extensive BI tools experience, AI & Prompt Engineering familiarity", "qualificationsPreferred" : "Gemini for data synthesis experience, Generative AI for automated report generation experience", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Description About Tala Tala is AI-native credit infrastructure for the global majority, combining proprietary risk intelligence with an expanding network of capital and distribution partners to power credit access at scale. Backed by more than $500 million in funding, Tala has distributed more than $7 billion in capital to more than 13 million customers across Africa, Latin America, and Asia—building one of the most robust datasets on thin-file borrowers anywhere in the world. Our mission is simple yet bold: to unleash the economic power of the global majority. We are looking for daring, data-driven leaders passionate about building the trust and credit infrastructure for the global majority. Our pioneering work and proven impact have earned us consistent recognition, including being named to: CNBC’s Disruptor 50 for five years. CNBC’s World's Top Fintech Companies for two consecutive years. Forbes’ Fintech 50 list for nine consecutive years. Visionary investors, persuaded by the economic power of the global majority, have committed half a billion dollars in equity and debt to Tala's success. Given the global nature of our team, we operate on a remote-first approach with office hubs in Santa Monica, CA (HQ); Nairobi, Kenya; Mexico City, Mexico; Manila, the Philippines; and Bangalore, India. Most Talazens join us because they connect with our mission. If you are energized by the impact you can make at Tala, we’d love to hear from you! ## What You'll Do Reporting Automation & AI Analytics: Architect and maintain automated data pipelines using SQL and BI tools (Looker/Snowflake). Integrate AI analytics for the WFM team, utilizing tools such as Gemini to generate automated reports and synthesized insights. Ad Hoc & BAU Operational Support: Provide dedicated reporting support for pilots, experiments, dialer adjustments, and new campaigns (outside the scope of Global CCR Analytics) Deep-Dive Analytics: Conduct weekly and monthly performance \"deep dives\" to identify trends in recovery rates, connect rates, and agent efficiency, providing actionable insights to leadership. Performance Forecasting: Support long-range planning by building predictive models that estimate staffing needs based on marketing spend, historical trends, and collection targets. Efficiency Projects: Lead data-driven initiatives to reduce manual reporting time for operational leads, enabling them to spend more time on high-value coaching. Visualization Development: Design intuitive, self-service dashboards that allow Site Directors to monitor real-time and historical performance at a glance. Data Governance: Establish and maintain a \"Single Source of Truth\" by standardizing metric definitions and ensuring data consistency across all operational dashboards. ## What You'll Need Technical Mastery: Advanced SQL proficiency and extensive experience with BI tools such as Looker, Snowflake, or Tableau. AI & Prompt Engineering: Familiarity with leveraging Generative AI (e.g., Gemini) for data synthesis and automated report generation. Analytical Thinking: Ability to synthesize complex datasets into clear, high-impact business recommendations. Data Visualization: Skill in designing intuitive dashboards that communicate insights to non-technical stakeholders. ## Additional Information Our vision is to build a new financial ecosystem where everyone can participate on equal footing and access the tools they need to be financially healthy. We strongly believe that inclusion fosters innovation and we’re proud to have a diverse global team that represents a multitude of backgrounds, cultures, and experience. We hire talented people regardless of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.", "summaryDescription" : "Performance Insights & Automation Analyst at Tala. Skills: Performance Insights, Automation, AI Analytics. Architect automated data pipelines. Maintain automated data pipelines", "postedDate" : "2026-06-10T07:31:35.097", "createdAt" : "2026-06-10T07:31:35.097", "lastUpdated" : "2026-06-15T00:07:40.221", "ingestTimestamp" : "2026-06-12T06:05:34.582", "mongoId" : "6a2a515474d8ee00a05f6146", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Predictive modeling", "Data visualization", "Automated reporting", "Performance Insights", "Automation", "AI Analytics", "Performance analysis", "Data synthesis", "Business recommendations", "Data governance", "Metric standardization", "Credit infrastructure", "Thin-file borrowers", "Workforce management", "Looker", "Snowflake", "Tableau", "Gemini" ], "skillCount" : 18, "jobCategory" : "other", "dataQualityScore" : 0.8888889, "daysOld" : 4, "hasLocation" : true, "hasGeo" : false }, { "id" : "6960822f0937eae70e9c7ff0", "title" : "Quality and Insights Manager", "company" : "Home Group", "salary" : { "min" : 40000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : false }, "location" : "Tyne and Wear-Newcastle upon Tyne-Newcastle upon Tyne (Strawberry Lane)", "locations" : [ "Tyne and Wear-Newcastle upon Tyne-Newcastle upon Tyne (Strawberry Lane)", "18.Jan.26, 11:59:00 PM", "242570, 242570, true" ], "timestamp" : "2026-06-15T11:57:45.075", "fingerprint" : "4b9f2cf4840138e705560c1bd8e964c5a6230bfec82b31df2e3b0287238c5c7d", "source" : "taleo", "language" : "en", "applyUrl" : "https://homegroup.taleo.net/careersection/ex/jobdetail.ftl?job=242570", "externalId" : "242570", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Newcastle upon Tyne", "state" : "Tyne and Wear", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "54.9738474,-1.6131572" } ], "locationText" : "Newcastle upon Tyne, Tyne and Wear, United Kingdom", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement" ], "hardSkillsList" : [ "Audit analysis", "Feedback analysis", "Action planning", "Team management", "Coaching support", "Training program management", "Performance improvement", "Process management", "Standards management", "Needs spotting", "Customer voice integration" ], "hardSkills" : [ { "name" : "Audit analysis", "level" : "intermediate" }, { "name" : "Feedback analysis", "level" : "intermediate" }, { "name" : "Action planning", "level" : "intermediate" }, { "name" : "Team management", "level" : "intermediate" }, { "name" : "Coaching support", "level" : "intermediate" }, { "name" : "Training program management", "level" : "intermediate" }, { "name" : "Performance improvement", "level" : "intermediate" }, { "name" : "Process management", "level" : "intermediate" }, { "name" : "Standards management", "level" : "intermediate" }, { "name" : "Needs spotting", "level" : "intermediate" }, { "name" : "Customer voice integration", "level" : "intermediate" } ], "majorSkills" : "Quality assurance, Customer insights, Team leadership, Continuous improvement", "majorSkillsList" : [ "Quality assurance", "Customer insights", "Team leadership", "Continuous improvement" ], "coreResponsibilities" : "Build quality assurance framework, Manage quality assurance framework, Drive excellent customer outcomes, Drive brilliant colleague experience, Turn checks into insights, Turn audits into insights, Turn feedback into insights, Suggest actions from insights, Manage coaches, Support coaches, Manage trainer, Support trainer, Ensure training programme is insight-driven, Ensure coaching support is insight-driven, Improve performance, Help leaders understand performance, Help teams understand performance, Drive continuous improvement culture, Keep processes fresh, Keep standards fresh, Spot training needs, Put support in place, Make customer voice central", "teamCollaboration" : "Work with leaders; Work with team; Work with L&D", "domainKnowledge" : "Customer service; Regulated setting", "domainList" : [ "customer-service", "regulated-setting" ], "domainSpecificKnowledge" : [ "Customer service", "Regulated setting" ], "communicationSkills" : "Share feedback", "continuousLearning" : "Grow career support; Learning support", "innovationCreativity" : "Shape something new", "problemSolvingSkills" : "Analytical skills; Problem-solving skills", "outcomesObjectives" : "Drive changes that matter; Improve customer experiences; Ensure right service first time", "qualificationsBasic" : "Line management experience, Contact centre experience, Customer service environment experience, Quality management qualification, Auditing qualification, Equivalent experience in setting up quality assurance, Equivalent experience in managing quality assurance, Analytical skills, Problem-solving skills, Clear timely feedback skills, Communication skills, Influencing skills, Collaborative approach, Passion for coaching, Helping others grow, Build something new, Take people on journey", "qualificationsPreferred" : "Coaching and training a new team experience", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Quality & Insights Manager Newcastle upon Tyne, hybrid working minimum 2 days office based per week Permanent, full time (37.5 hpw) Earn £40,000 pa, with bril liant benefits! ‘Previous applicants need not apply’ Home, a place where you belong You know that great service doesn’t happen by accident. It’s built on care, consistency and a clear picture of how we’re doing. If you’ve ever thought “there’s a better way to do this” and wanted the space to make it happen, this could be your moment. We’re looking for someone who can bring quality assurance to life, not just in processes, but in how our colleagues work together, learn and grow. With experience of coaching and training a new team. You’ll be the person who spots what’s going well, sees where we can improve, and turns that into insight that will drive changes that really matter for our customers. You’ll join our friendly Customer Service Quality and Improvement team, where we work hard to make sure every customer gets the right service, first time. You’ll have the freedom to dig deep into the details to share insights and manage the actions that drive better customer experiences. What you’ll do Build and manage a simple, consistent quality assurance framework that works for everyone and drives excellent customer outcomes and brilliant colleague experience. Turn checks, audits and feedback into clear insights and suggested actions Manage and support a team of coaches and a trainer, ensuring the training programme and coaching support are insight-driven and focused on improving performance Work with leaders and team to help them understand how we are performing and drive a continuous improvement culture within the team Keep our processes and standards fresh, relevant and fit for the future Spot training needs quickly and working with our trainer along with L&D to put the right support in place Make sure the customer’s voice is at the heart of every change we make Why choose us Imagine finishing each day knowing you’ve made a real difference in our customers’ lives. That’s exactly what you’ll do here, working for a top 10 Great Place to Work in the UK! You’ll have space to grow, support to learn, and the chance to shape something brand new. What you bring Strong line management experience. Experience of working in a contact centre or customer service environment. A qualification in quality management, auditing, or equivalent experience in setting up or managing quality assurance in a regulated setting A curious mind with great analytical and problem-solving skills The confidence to share clear timely feedback that drives action Strong communication and influencing skills with a collaborative approach Passion for coaching and helping others grow Enthusiasm to build something new and take people on the journey with you Job details You’ll work Monday to Friday This is a hybrid role, and you’ll spend a minimum of 2 days in our One Strawberry Lane office, and the rest working from home A place where you belong We do our best work when we can be ourselves. That’s why inclusion and wellbeing shape our policies and daily practice. Our diversity networks, Multicultural, LGBTQIA+, Women, and Disability, along with peers and allies, help us thrive. Together we make Home Group a great place to work ! What’s in it for you? Enjoy 34 days leave (this includes bank holidays and a \"me day\"!), and the option to buy five days more (subject to criteria). 2 days paid volunteering Generous pension and 3x salary life insurance. Check more benefits online! Save up to £1140 yearly with our health cash plan, covering dental, optical, and therapies. 800+ discounts or cashback on shopping, holidays, and more. We’re a top 10 UK Wellbeing employer; our tools and support are here when you need them! Grow your career with us, we’ll help you take the next step. Ready to join us? Click APPLY NOW to see the Quality & Insights Manager job description , learn about us , and for help to apply . Don’t wait, roles can close early, so apply and take the first step towards making a difference. To let us know how we can help you shine in our process, email recruitment@homegroup.org.uk to discuss your reasonable adjustments. Newcastle upon Tyne (Strawberry Lane)", "summaryDescription" : "Quality and Insights Manager at Home Group. Skills: Quality assurance, Customer insights, Team leadership, Continuous improvement. Build quality assurance framework. Manage quality assurance framework", "createdAt" : "2026-06-14T01:52:38.205", "lastUpdated" : "2026-06-15T11:57:45.075", "ingestTimestamp" : "2026-06-14T01:52:38.205", "mongoId" : "6960822f0937eae70e9c7ff0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Audit analysis", "Feedback analysis", "Action planning", "Team management", "Coaching support", "Training program management", "Performance improvement", "Process management", "Standards management", "Needs spotting", "Customer voice integration", "Quality assurance", "Customer insights", "Team leadership", "Continuous improvement", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Customer service", "Regulated setting" ], "skillCount" : 22, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Real Estate", "llmIndustryConfidence" : 0.92 }, { "id" : "68c2e42bf8b1b0376634c6c9", "title" : "Insights and Measurement Lead", "company" : "Amazon Servicos de Varejo do Brasil Ltda.", "industry" : "Sales, Advertising, Account Management, Professional Services", "salary" : { "min" : 250000.0, "max" : 400000.0, "currency" : "BRL", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Insights and Measurement role in Sao Paulo, Brazil, adjusted for the technology industry and onsite work mode." }, "location" : "Sao Paulo, Sao Paulo, BRA", "locations" : [ "Sao Paulo, Sao Paulo, BRA" ], "timestamp" : "2026-06-15T01:15:38.899", "fingerprint" : "da5b7a7ec744849f3a4f158d6390d5984821f202208cdecf30185b6f2cd4ac0d", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3076330/apply", "externalId" : "db54b73f-d169-45fd-b915-2bd16cbb9174", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sao Paulo", "state" : "Sao Paulo", "country" : "Brazil", "continent" : "sa", "source" : "llm", "workMode" : "onsite", "geo" : "-23.5506507,-46.6333824" } ], "locationText" : "Sao Paulo, Sao Paulo, Brazil", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "Python, R, SAS, SQL", "professionalSkills" : [ "Data analysis", "Client relationships", "Sales", "Account management", "Retail", "Business partners", "Measurement solutions", "Advertising solutions", "Digital advertising", "Return on investment" ], "hardSkillsList" : [ "Data analysis", "Metric creation", "Statistical techniques", "Regression analysis", "Segmentation", "Machine learning", "Marketing mix modeling", "Attribution frameworks", "Advertising measurement" ], "softSkillsList" : [ "Consultative approach", "Navigate ambiguity", "Solve complex problems", "Thought leadership" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Metric creation", "level" : "intermediate" }, { "name" : "Statistical techniques", "level" : "intermediate" }, { "name" : "Regression analysis", "level" : "intermediate" }, { "name" : "Segmentation", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Marketing mix modeling", "level" : "intermediate" }, { "name" : "Attribution frameworks", "level" : "intermediate" }, { "name" : "Advertising measurement", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Consultative approach" }, { "name" : "Navigate ambiguity" }, { "name" : "Solve complex problems" }, { "name" : "Thought leadership" } ], "majorSkills" : "Insights generation, Measurement strategy, Client relationships", "majorSkillsList" : [ "Insights generation", "Measurement strategy", "Client relationships" ], "coreResponsibilities" : "Leverage data for insights, Generate actionable insights, Own measurement relationships, Partner on learning objectives, Influence business decisions, Present findings consultatively, Collaborate on solutions, Translate concepts to recommendations, Influence sales initiatives, Influence marketing initiatives, Educate stakeholders, Advocate for data-driven decisions, Drive thought leadership, Encourage advertisers to act", "teamCollaboration" : "Internal teams; Cross-functional; Multiple business functions; Multiple geographies; Sales organization; Account management; Retail; Amazon business partners", "domainKnowledge" : "Digital media; AdTech; Advertising; Digital advertising; Advertising measurement; Marketing mix modeling; Attribution frameworks; Statistical techniques; Machine learning", "domainList" : [ "digital-media", "adtech", "advertising", "digital-advertising", "advertising-measurement", "marketing-mix-modeling", "attribution-frameworks", "statistical-techniques", "machine-learning" ], "domainSpecificKnowledge" : [ "Digital media", "AdTech", "Advertising", "Digital advertising", "Advertising measurement", "Marketing mix modeling", "Attribution frameworks", "Statistical techniques", "Machine learning" ], "toolProficiency" : [ "SQL", "Python", "R", "SAS" ], "communicationSkills" : "Presentation skills; Storytelling; Executive presentations", "problemSolvingSkills" : "Solve complex problems; Translate analytical concepts", "outcomesObjectives" : "Deliver best return on investment", "qualificationsBasic" : "Bachelor's degree, 7+ years client-facing data analysis, 5+ years digital media/AdTech, Translate technical analyses, Data-driven storytelling, Presentation skills, Advertising measurement methodologies, Marketing mix modeling, Attribution frameworks, Advanced statistical techniques, Regression analysis, Segmentation, Machine learning, Proficiency in SQL, Analytical tools fluency", "qualificationsPreferred" : "Advanced degree (MBA, Master's), Digital media planning experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon Ads operates at the intersection of e-commerce and advertising, offering a rich array of advertising solutions. We partner with advertisers to reach Amazon customers across our owned and operated sites like Prime Video and Twitch, and on other high-quality sites across the web, and on devices. We are currently looking for a highly skilled and motivated Insights and Measurement Lead to help scale our growing advertising business. The Insights and Measurement Lead is a key member of the sales organization at Amazon Ads, taking a consultative approach, building deep relationships with advertisers, sales, account management, retail, and other Amazon business partners to analyze and measure the success of advertisers' performance on Amazon. Key job responsibilities • Leverage Amazon's proprietary data, third-party research, and Ad measurement solutions to generate actionable insights for C-suite marketing leaders. • Own senior-level measurement and insights customer relationships and partner across strategic learning objectives that influence business decision-making • Present findings consultatively, collaborating with internal teams to deliver comprehensive solutions. • Navigate ambiguity, solve complex problems, and translate analytical concepts into actionable recommendations. • Collaborate cross-functionally to influence sales and marketing initiatives across multiple business functions and geographies. • Educate stakeholders on Amazon's insights and measurement offerings through learning sessions, documentation, and whitepapers. • Advocate for data-driven decision-making, driving thought leadership and encouraging advertisers to act on recommendations. A day in the life On a daily basis, Insights and Measurement Lead activities include analyzing and measuring metrics of success for an advertiser business or category, developing data-driven insights and recommendations for executive client leadership, and communicating recommendations in a clear and compelling fashion. The strategic and consultative digital advertising expertise of the Insights and Measurement Lead is critical to delivering the best return on investment for our customers. About the team The Analytics & Insights (A&I) organization leverages Amazon's data to develop actionable insights for advertisers. By providing insights and measurement solutions, A&I enhances marketers' decision-making processes, measurably improving their success on and off Amazon. Basic Qualifications: - Bachelor's degree with 7+ years of experience in client-facing data analysis roles, including 5+ years in digital media/AdTech consulting or advertising with a top agency or brand. - Expertise in translating technical analyses into actionable insights for diverse stakeholders, with excellent data-driven storytelling and presentation skills. - Demonstrated proficiency in advertising measurement methodologies, marketing mix modeling, and attribution frameworks. - Strong understanding of advanced statistical techniques, including regression analysis, segmentation and machine learning. - Proficiency in SQL for complex data manipulation and metric creation, along with fluency in analytical tools (Python, R, SAS, etc.). - Please apply with resume in English Preferred Qualifications: - Advanced degree (MBA, Master's) in Economics, Marketing, Statistics, Advertising, or Business; or equivalent Digital media planning experience. - Experience with advertising publishers, marketing/creative agencies, and campaign management. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Insights and Measurement Lead at Amazon Servicos de Varejo do Brasil Ltda.. Skills: Insights generation, Measurement strategy, Client relationships. Leverage data for insights. Generate actionable insights", "postedDate" : "2026-06-13T07:15:18.470", "createdAt" : "2026-06-13T07:15:18.470", "lastUpdated" : "2026-06-15T01:15:38.899", "ingestTimestamp" : "2026-06-13T07:15:18.470", "mongoId" : "68c2e42bf8b1b0376634c6c9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3076330/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data analysis", "Metric creation", "Statistical techniques", "Regression analysis", "Segmentation", "Machine learning", "Marketing mix modeling", "Attribution frameworks", "Advertising measurement", "Consultative approach", "Navigate ambiguity", "Solve complex problems", "Thought leadership", "Insights generation", "Measurement strategy", "Client relationships", "Sales", "Account management", "Retail", "Business partners", "Measurement solutions", "Advertising solutions", "Digital advertising", "Return on investment", "Digital media", "AdTech", "Advertising", "SQL", "Python", "R", "SAS" ], "skillCount" : 31, "jobCategory" : "marketing", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Advertising" }, { "id" : "6a2a660b74d8ee00a062bb47", "title" : "Product Manager, Reputation Marketing & Insights", "company" : "Amazon.com Services LLC", "industry" : "Project/Program/Product Management--Technical, Product Management - Technical, global communications and community impact", "salary" : { "min" : 166000.0, "max" : 225000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-15T04:18:30.036", "fingerprint" : "8de2c014d8e22c36b60caedc47a097c0751ead1efccd094b4ba7d74e7821124b", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10442507/apply", "externalId" : "496a2d8e-0091-4d87-8c1f-7f87c84fd1b8", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "AWS, AI/ML, Large Language Models, APIs, Cloud architecture, Streamlit, Retool, Bedrock Agents, Claude", "professionalSkills" : [ "Product strategy", "Roadmap definition", "Feature design", "Technology approach", "Stakeholder alignment", "Prioritization", "Trade-offs", "Technical requirements", "Voice-of-customer feedback", "Product adoption", "Process efficiency", "Stakeholder satisfaction", "Marketing plans", "Media tactics", "Measurement methodology" ], "hardSkillsList" : [ "Data integrations", "Workflow automation", "AI-assisted workflows", "Model execution optimization", "ETL", "Reporting tools", "Analytic tools" ], "softSkillsList" : [ "Resourceful", "Think big", "Embrace change", "Embrace ambiguity", "Mentorship" ], "hardSkills" : [ { "name" : "Data integrations", "level" : "intermediate" }, { "name" : "Workflow automation", "level" : "intermediate" }, { "name" : "AI-assisted workflows", "level" : "intermediate" }, { "name" : "Model execution optimization", "level" : "intermediate" }, { "name" : "ETL", "level" : "intermediate" }, { "name" : "Reporting tools", "level" : "intermediate" }, { "name" : "Analytic tools", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Resourceful" }, { "name" : "Think big" }, { "name" : "Embrace change" }, { "name" : "Embrace ambiguity" }, { "name" : "Mentorship" } ], "majorSkills" : "Product strategy, Roadmap definition, AI/ML, Large Language Models", "majorSkillsList" : [ "Product strategy", "Roadmap definition", "AI/ML", "Large Language Models" ], "coreResponsibilities" : "Define product strategy, Own product lifecycle, Gather requirements, Build web applications, Build data integrations, Evaluate AI tools, Deploy AI tools, Deploy LLM agents, Drive stakeholder alignment, Make architecture decisions, Automate processes, Operationalize analytical outputs, Capture voice-of-customer feedback, Translate feedback into roadmap, Balance near-term needs, Balance long-term investments, Define technical requirements, Articulate technology needs, Influence strategic direction, Build tools, Accountable for product adoption, Accountable for process efficiency, Accountable for stakeholder satisfaction, Streamline workflows, Define product solutions, Leverage AI/ML tools, Leverage agentic frameworks, Accelerate development, Augment team capabilities, Align stakeholders, Make trade-offs", "teamCollaboration" : "Cross-functional collaboration; Work with media teams; Work with research teams; Work with measurement teams; Work with data science teams; Work with public policy teams; Work with external agency partners; Stakeholder alignment", "projectManagementSkills" : [ "Roadmap strategy", "Roadmap definition", "Feature delivery", "Prioritization", "Trade-offs" ], "domainKnowledge" : "Reputational Marketing; Marketing organization; Media measurement; Workflow automation; AI/ML; Large Language Models; Agentic frameworks; Cloud services; Data warehouse architecture; Public affairs; Communications; Marketing environments", "domainList" : [ "reputational-marketing", "marketing-organization", "media-measurement", "workflow-automation", "ai-ml", "large-language-models", "agentic-frameworks", "cloud-services", "data-warehouse-architecture", "public-affairs", "communications", "marketing-environments" ], "domainSpecificKnowledge" : [ "Reputational Marketing", "Marketing organization", "Media measurement", "Workflow automation", "AI/ML", "Large Language Models", "Agentic frameworks", "Cloud services", "Data warehouse architecture", "Public affairs", "Communications", "Marketing environments" ], "toolProficiency" : [ "AWS", "Streamlit", "Retool", "Bedrock Agents", "Claude" ], "communicationSkills" : "Executive-level prioritization; Executive-level planning", "continuousLearning" : "Knowledge sharing; Mentorship", "innovationCreativity" : "Think big; Design solutions", "problemSolvingSkills" : "Identify manual processes; Define product solutions; Evaluate AI/ML tools; Understand model limitations; Understand model use cases; Root cause analysis", "outcomesObjectives" : "Product adoption; Process efficiency gains; Stakeholder satisfaction", "qualificationsBasic" : "Own/drive roadmap strategy, Feature delivery and tradeoffs, Contribute to engineering discussions, Manage technical products, Represent critical customers, 7+ years product/program management, Machine Learning fundamentals, Large Language Model fundamentals, Work hands-on with cloud services, Work hands-on with databases, Work hands-on with APIs, Work hands-on with scripting languages", "qualificationsPreferred" : "Knowledge of data warehouse architecture, Experience in Kubernetes, Experience in Docker, Experience in containers ecosystem, Experience in software development, Influence senior leadership, Manage complex customer relationships, Build internal tools, Hands-on AI coding assistants, Hands-on agentic development frameworks, Hands-on LLM-based automation, Drive adoption of internal products, Experience in public affairs, Experience in communications, Experience in marketing environments", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The individual selected for this position will own the product strategy, roadmap, and delivery of internal applications and operational platforms that streamline workflows across Reputational Marketing & Insights (RMI). The work will challenge you to be resourceful, think big while staying connected to the details, translate stakeholder needs into functional solutions, and embrace a high degree of change and ambiguity at speed. The scope and scale of what we strive to achieve is immense, but it is also meaningful and energizing. Key job responsibilities Reputation Marketing & Insights (RMI) is hiring a Product Manager - Technical to define the product and technology strategy for the team's internal tools ecosystem. You will own a portfolio of applications that serve as the operational backbone of a fast-moving marketing organization — from audience management and campaign budgeting to media measurement and workflow automation. Product strategy, feature design, and technology approach are yours to define. You will deliver independently with limited guidance. Working with media, research, measurement, data science, and public policy teams — as well as external agency partners — you will identify where manual processes create drag and define product solutions that scale. You will evaluate and leverage AI/ML tools, large language models, and agentic frameworks to accelerate development and augment team capabilities — understanding the strengths, limitations, and appropriate use cases for each. You will align stakeholders across competing priorities, making smart trade-offs between speed-to-delivery and robustness, flexibility and standardization, sophistication and simplicity. You will define technical requirements — including APIs, data integrations, cloud architecture, and AI-assisted workflows — and articulate when a new technology is needed (and when it is not). You will influence the strategic direction of how the team operates by building tools that change what's possible. You will be accountable for product adoption, process efficiency gains, and stakeholder satisfaction. You will develop mechanisms to capture voice-of-customer feedback from internal users and translate it into a prioritized product roadmap that balances near-term needs with long-term platform investments. A day in the life You will define product strategy and own the full lifecycle for a portfolio of internal tools — from requirements gathering through deployment. You'll build web applications and data integrations using AWS, evaluate and deploy AI-powered development tools and LLM-based agents, and drive stakeholder alignment across competing priorities. You'll make independent architecture decisions, automate processes that depend on individual heroics, and operationalize analytical outputs into production-ready tools accessible to non-technical users. About the team Our team strives to identify the persuasive return on investment for every dollar we spend. We build marketing plans that persuade our core audiences through best-in-class media tactics and measurement methodology that enables us to optimize towards the principles and platforms that achieve real-world outcomes at the expense of those that don't. Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future. Basic Qualifications: - Experience owning/driving roadmap strategy and definition - Experience with feature delivery and tradeoffs of a product - Experience contributing to engineering discussions around technology decisions and strategy related to a product - Experience managing technical products or online services - Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning - 7+ years of product or program management, product marketing, business development or technology experience - Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience leading and influencing your team or organization - Demonstrated ability to work hands-on with cloud services (AWS), databases, APIs, and scripting languages at a practitioner level Preferred Qualifications: - Knowledge of data warehouse technical architecture, infrastructure components, ETL and reporting/analytic tools and environments - Experience in Kubernetes, Docker or containers ecosystem, or experience in software development - Experience in influencing senior leadership through data driven insights - Experience managing complex customer relationships and initiatives with considerable impact where the customer need, sales strategy, and opportunity are not defined - Experience building internal tools or platforms using rapid-development frameworks (Streamlit, Retool, or similar) - Hands-on experience with AI coding assistants, agentic development frameworks, or LLM-based automation (e.g., Bedrock Agents, Claude, autonomous coding tools) - Track record of driving adoption of internal products through strong voice-of-customer practices and iterative improvement - Experience working in public affairs, communications, or marketing environments Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, NY, New York - 166,300.00 - 225,000.00 USD annually USA, VA, Arlington - 151,200.00 - 204,600.00 USD annually USA, WA, Seattle - 151,200.00 - 204,600.00 USD annually", "summaryDescription" : "Product Manager, Reputation Marketing & Insights at Amazon.com Services LLC. Skills: Product strategy, Roadmap definition, AI/ML, Large Language Models. Define product strategy. Own product lifecycle", "postedDate" : "2026-06-13T10:25:43.470", "createdAt" : "2026-06-13T10:25:43.470", "lastUpdated" : "2026-06-15T04:18:30.036", "ingestTimestamp" : "2026-06-13T10:25:43.470", "mongoId" : "6a2a660b74d8ee00a062bb47", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10442507/apply", "salaryAnnualMin" : 166000, "salaryAnnualMax" : 225000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data integrations", "Workflow automation", "AI-assisted workflows", "Model execution optimization", "ETL", "Reporting tools", "Analytic tools", "Resourceful", "Think big", "Embrace change", "Embrace ambiguity", "Mentorship", "Product strategy", "Roadmap definition", "AI/ML", "Large Language Models", "Feature design", "Technology approach", "Stakeholder alignment", "Prioritization", "Trade-offs", "Technical requirements", "Voice-of-customer feedback", "Product adoption", "Process efficiency", "Stakeholder satisfaction", "Marketing plans", "Media tactics", "Measurement methodology", "Roadmap strategy", "Feature delivery", "Reputational Marketing", "Marketing organization", "Media measurement", "Agentic frameworks", "Cloud services", "Data warehouse architecture", "Public affairs", "Communications", "Marketing environments", "AWS", "Streamlit", "Retool", "Bedrock Agents", "Claude" ], "skillCount" : 45, "jobCategory" : "project-management", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2c94e874d8ee00a098bdf5", "title" : "Financial Performance and Analysis", "company" : "Getnet", "industry" : "FinTech", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Financial Performance and Analysis role in Madrid, Spain, adjusted for the FinTech industry." }, "location" : "Madrid, Madrid, Spain", "locations" : [ "Madrid", "Madrid", "Spain" ], "timestamp" : "2026-06-15T09:26:43.034", "fingerprint" : "d7381340f9999217e17b528557279df139e22bc370b91841aa7b793c17934513", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/getnet/jobs/4751604101", "externalId" : "4751604101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Madrid", "state" : "Madrid", "country" : "Spain", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "40.4237276,-3.6899043" } ], "locationText" : "Madrid, Madrid, Spain", "minimumEducation" : "Bachelor's", "softSkillsList" : [ "Clear communication", "Analytical mindset" ], "softSkills" : [ { "name" : "Clear communication" }, { "name" : "Analytical mindset" } ], "teamCollaboration" : "FP&A teams; Finance & Accounting teams; Finance Tech teams; Regional teams", "domainKnowledge" : "Payment solutions; Fintech; Acquiring hub", "domainList" : [ "payment-solutions", "fintech", "acquiring-hub" ], "domainSpecificKnowledge" : [ "Payment solutions", "Fintech", "Acquiring hub" ], "communicationSkills" : "Clear communication", "continuousLearning" : "Self-development programmes", "problemSolvingSkills" : "Identify data inconsistencies; Identify structural effects; Identify model-related issues", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "✨ Your talent drives our future Getnet is a global technology company specializing in payment solutions for commerce. Founded in Brazil and operating across Latin America and the Iberian Peninsula, we support over 1.3 million merchants with end-to-end services — from POS terminals to e-commerce platforms. We are part of PagoNxt, the global fintech of the Santander Group, and operate as an acquiring hub with a strong presence in Spain, Portugal, Brazil, Mexico, Chile, Argentina, and Uruguay. Our mission is clear: to simplify payments with innovation, security, and scale, helping businesses of all sizes grow with agility. We offer a unified platform that integrates hardware, software, fraud prevention, acquiring, reconciliation, and financial services — all in a single ecosystem, so our clients can focus on growing their business. Being part of Getnet means joining a company that combines the innovation of a fintech with the solidity of a global bank. Imagine your future. Care for your career. Simplify your journey. This means you'll have the chance to build impactful solutions, grow with real development opportunities, and thrive in a culture that values well-being, inclusion, and clarity. We combine flexibility, autonomy, and global collaboration — so you can focus on what matters, connect with purpose, and help shape the future. Here, you'll find space to grow, real opportunities to lead, and a culture where everyone belongs and contributes. ✨ If you want to be part of the next generation of financial solutions, this is the place. At Getnet, we are looking for a Financial Performance and Analysis to join our team in Madrid. \uD83D\uDCCCWhat you'll do Financial Model Architecture: maintain and evolve the financial model structure and driver logic used for performance analysis, forecasting and planning. Data Integrity & Consistency: ensure consistency and reliability of data across actuals, forecast and planning cycles through validation and reconciliation. Assumptions & Calculations Validation: review and validate assumptions, calculations and model behaviour to ensure financial coherence. Regional Coordination & Consolidation: coordinate and consolidate financial inputs from countries and regions, applying and explaining consolidation rules. Performance: contribute to financial performance activities by clarifying model-related drivers and structural effects behind deviations. Forecast & Planning: work closely with planning to reflect planning assumptions and scenarios accurately within the financial model. Process & Tool Improvement: collaborate with Finance Tech to improve data quality, automation and robustness across FP&A processes. What we are looking for Experience Strong track record in FP&A, financial modelling, controlling or planning roles. Exposure to actuals, forecast and planning cycles. Experience using planning tools (Oracle EPM or similar) is a plus Experience working with financial data from multiple countries or business units. Education, knowledge and skills Bachelor’s degree in Finance, Economics, Business Administration, Engineering or a related field. A Master’s degree in Finance, Corporate Finance, Business Analytics or similar is a plus. Knowledge of Power BI, Power Query, SQL, Oracle, Databricks or similar tools is an advantage. Solid financial modelling skills and understanding of P&L structure and key drivers. Strong skills and ability to work with structured financial data. Understanding of forecasting logic, assumptions and sensitivities. Ability to identify data inconsistencies, structural effects and model-related issues. Clear communication skills and ability to work with FP&A, Finance & Accounting, Finance Tech and regional teams. Proactive attitude, attention to detail and analytical mindset. \uD83C\uDFAF What we offer \uD83E\uDE7A Medical insurance \uD83D\uDCAA Wellhub \uD83D\uDE91 Life insurance \uD83D\uDC89 Annual healthcare \uD83D\uDE8C Transportation allowance \uD83C\uDF55 Meal voucher/food voucher \uD83D\uDCDA Access to self-development programmes \uD83C\uDFE2 Hybrid Collaborative environment: Successful candidate must be prepared to work 60% on site \uD83D\uDCEC Next step Apply and if you know someone who might be looking for this opportunity, share it.", "summaryDescription" : "Financial Performance and Analysis at Getnet", "postedDate" : "2026-06-14T04:54:16.069", "createdAt" : "2026-06-14T04:54:16.069", "lastUpdated" : "2026-06-15T09:26:43.034", "ingestTimestamp" : "2026-06-14T04:54:16.069", "mongoId" : "6a2c94e874d8ee00a098bdf5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Clear communication", "Analytical mindset", "Payment solutions", "Fintech", "Acquiring hub" ], "skillCount" : 5, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c5e4974d8ee00a08e2c07", "title" : "Vice President, Research and Insights", "company" : "Prosek Partners", "industry" : "Communications", "salary" : { "min" : 150000.0, "max" : 175000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, NY, United States", "locations" : [ "New York", "NY", "United States" ], "timestamp" : "2026-06-15T00:27:53.965", "fingerprint" : "9a0d6c270c8fc505dc7f79202eb8b0b81ee17c3d0e6d83ce709aeacc3f97639b", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/prosek/jobs/7733556", "externalId" : "7733556", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "experienceMinYears" : 10, "experienceMaxYears" : 99, "experienceLevel" : "Executive", "technicalSkills" : "AI, Python, SQL", "professionalSkills" : [ "Data-driven planning", "Client counseling", "Research methodologies", "Predictive risk", "Crisis assessment", "Whitespace analyses", "Narrative intelligence", "Influencer identification", "Audience analysis", "New business proposals", "Data integration", "Data visualization" ], "hardSkillsList" : [ "Quantitative research", "Statistical analysis", "Writing skills", "Presentation skills" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Quantitative research", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Writing skills", "level" : "intermediate" }, { "name" : "Presentation skills", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Research and analytics, AI analytics, Data insights", "majorSkillsList" : [ "Research and analytics", "AI analytics", "Data insights" ], "coreResponsibilities" : "Lead integrated client teams, Ensure data-driven planning, Ensure data-driven execution, Ensure data-driven content development, Serve as strategic counselor, Lead day-to-day client contact, Oversee research projects, Manage research projects, Create measurement frameworks, Implement measurement frameworks, Create research methodologies, Implement research methodologies, Conduct global qualitative research, Conduct global quantitative research, Analyze research results, Monitor media, Assess predictive risk, Assess crisis risk, Conduct whitespace analyses, Perform competitive analysis, Perform media landscape analysis, Analyze narrative intelligence, Identify influencers, Vet influencers, Analyze audiences, Develop new business proposals, Present data, Present insights, Develop reports, Mentor reports, Provide feedback, Hold reports accountable, Conduct reviews, Oversee professional development, Oversee budget creation, Monitor program budgets, Review written materials, Edit written materials, Manage flow of account work, Ensure client objectives are met, Champion the team, Motivate team members, Engage team members, Work to potential, Give team members feedback, Contribute to new business development, Lead RFP responses, Write proposals, Pitch clients, Prospect clients, Recruit new hires, Evaluate potential new hires", "teamCollaboration" : "Integrated client teams; Cross-functional teams; Digital teams; Creative teams; Content teams; PR teams", "projectManagementSkills" : [ "RFP responses", "Proposal writing" ], "domainKnowledge" : "Communications channels; Financial services; Professional services; B2B communications", "domainList" : [ "communications-channels", "financial-services", "professional-services", "b2b-communications" ], "domainSpecificKnowledge" : [ "Communications channels", "Financial services", "Professional services", "B2B communications" ], "toolProficiency" : [ "Talkwalker", "SignalAI", "StatSocial", "Microsoft Suite", "Looker", "Tableau", "PowerBI" ], "communicationSkills" : "Presenting data; Writing skills; Presentation skills", "continuousLearning" : "Custom career opportunities", "innovationCreativity" : "Brainstorming; Creative strategy planning", "problemSolvingSkills" : "Extrapolating data; Data-driven decision making", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Who is Prosek? We are entrepreneurial. Prosek is one of the largest independent communications and marketing firms in the U.S., with offices and strategic partners across the country and worldwide. We are specialized. Prosek provides unparalleled expertise for some of the most notable brands in financial services, professional services, and beyond. We are people centric. Our teams work together in a collegial atmosphere that breeds professional respect and friendship. We are award-winning. Join an \"Army of Entrepreneurs\" that was recently named 2026Global Agency of the Year by PRovoke Media. Overview: We're currently seeking a Vice President to join our growing Data and Analytics team. The Vice President (VP) plays a critical leadership role on the team and across the firm. You are expected to have the skills and behaviors needed to up-level client work, build culture and drive growth for the firm. While you should be a big-picture thinker, you also need to be able to lead and inspire teams to turn big ideas into action. Most of all, you need to be an incredible people manager who enjoys developing and mentoring junior staff, a critical aspect of our growing team. In this role, you must be an expert in research and analytics across communications channels, skilled at leveraging AI and adept at extrapolating data to find the “so what” for clients. This candidate will be expected to conduct primary and secondary research to inform strategy, monitor earned, social and owned activity across relevant platforms and develop insightful and actionable reports for executives. At Prosek, everyone is expected to be a strong team player, participating in brainstorming and creative strategy planning for clients and internal projects. Our culture is built around being an \"Army of Entrepreneurs,\" and we encourage everyone to embrace that and be the \"writer of their own story.\" What you'll be doing: Lead integrated client teams to ensure data-driven planning, execution and content development Serve as a strategic counselor and lead day-to-day client contact for key client relationships Oversee and manage research and analytics projects independently including, but not limited to: Creation and implementation of measurement frameworks and research methodologies Global qualitative and quantitative research studies (i.e., writing questionnaires, overseeing data collection, analyzing results) Media monitoring, predictive risk and crisis assessment Whitespace analyses (i.e., competitive and media landscape analysis) Narrative intelligence Influencer identification and vetting Audience analysis AI analytics Development of new business proposals Presenting data and insights to tell a clear and compelling story of impact Develop and mentor reports through coaching, consistently providing feedback, holding them accountable, conducting their reviews, and overseeing their professional development Demonstrate an expert understanding of the data oversee creation and ongoing monitoring of program budgets Be responsible for reviewing and editing all written materials developed by account team and assist team members with fine-tuning their writing skills Manage the flow of account work among junior team members to ensure that client objectives are met Act as \"champion\" of the team and ensure that the staff is motivated, engaged and working to potential and proactively give team members feedback Contribute to new business development, including leading RFP responses, proposal writing, client pitches and prospecting Become involved in recruiting and evaluate potential new hires to determine if they would work well with Prosek What makes you qualified: 10-12 years of experience Strong command of data & analytics measurement and monitoring tools (including Talkwalker/SignalAI or similar platforms, StatSocial) Expert understanding of primary quantitative research Strong statistical, writing and presentation skills Strong eye for detail Experience in financial services, professional services, technology and/or B2B communications Ability to manage cross-functional integrated teams and form relationships across digital, creative, content and PR Adept in Microsoft Suite (Outlook, Excel, PowerPoint, etc.) Experience vetting and selecting research vendors and managing project budgets Experience in data integration and visualization platforms and practices preferred, but not required (Looker, Tableau, PowerBI, Python, etc.) Readiness to deliver excellent client service and be a member of a growing team Ability to maintain and grow the collective culture and value of the Data and Analytics team and Prosek as a whole What are the perks? 401(k) employer match: There is no time like the present to prepare for your future! Premium healthcare plans, including medical, dental and vision coverage: Your health comes first. Hybrid work model: 2 days in the office, 3 days from home - Pick your own schedule. 2 weeks of remote work per year: You do you! Generous Paid Time Off (PTO) package including birthday PTO: Enjoy life's moments. Custom career opportunities: Choose your own adventure! Our Core Values: Chemistry, Collaboration and Belonging: Our collegial culture inspires people with different perspectives and backgrounds to work towards common goals as we brainstorm, plan and execute on behalf of our clients and to build our business together. Grit and Hustle: We work hard. We roll up our sleeves. We are not precious or pretentious. We do not take short cuts. Instead, we put in the work and do what it takes to get the job done. The Excitement of New Challenges: We view challenges as opportunities and embrace them. They motivate us to learn and grow so that we can be the best versions of ourselves, for our clients and each other. A Workplace with Humanity: We recognize the rigor and demand of our work. We also recognize that life inside and outside of Prosek can be stressful. We work very hard to run our business with a heavy dose of humanity and to make Prosek a safe place where people enjoy the work and each other. Our Beliefs on Culture, Diversity & Belonging: We are committed to building a diverse workforce reflecting and embracing diversity of all kinds - diversity of geography, cognitive diversity, race, ethnicity, age, gender identity, sexual orientation, political affiliation, socioeconomic backgrounds. We believe having teams that represent the broader communities where we live and work creates a culture that celebrates creativity, inclusiveness and teamwork and helps us offer our global clientele of mature and emerging businesses counsel that is dynamic, rich and nuanced. The anticipated salary range for this position is $150,000-175,000. An employee's salary is determined by a range of factors including but not limited to relevant experience, qualifications, skills, seniority, geographic location, performance, and business or organizational needs. The range listed is one component of Prosek's total compensation package for employees. Other rewards may include medical, dental and vision coverage, 401(k) matching, new business commission, paid time off, and other benefits. Prosek Partners provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Follow us: Website | Twitter | LinkedIn | Facebook | Instagram #LI-HYBRID", "summaryDescription" : "Vice President, Research and Insights at Prosek Partners. Skills: Research and analytics, AI analytics, Data insights. Lead integrated client teams. Ensure data-driven planning", "postedDate" : "2026-06-12T21:57:18.569", "createdAt" : "2026-06-12T21:57:18.569", "lastUpdated" : "2026-06-15T00:27:53.965", "ingestTimestamp" : "2026-06-12T21:57:18.569", "mongoId" : "6a2c5e4974d8ee00a08e2c07", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 150000, "salaryAnnualMax" : 175000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Quantitative research", "Statistical analysis", "Writing skills", "Presentation skills", "Leadership", "Mentoring", "Research and analytics", "AI analytics", "Data insights", "Data-driven planning", "Client counseling", "Research methodologies", "Predictive risk", "Crisis assessment", "Whitespace analyses", "Narrative intelligence", "Influencer identification", "Audience analysis", "New business proposals", "Data integration", "Data visualization", "RFP responses", "Proposal writing", "Communications channels", "Financial services", "Professional services", "B2B communications", "Talkwalker", "SignalAI", "StatSocial", "Microsoft Suite", "Looker", "Tableau", "PowerBI" ], "skillCount" : 34, "jobCategory" : "other", "jobSubcategory" : "dna", "dataQualityScore" : 0.8888889, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Communications" }, { "id" : "6a2a5deb74d8ee00a061acab", "title" : "Senior Director, Performance Analytics and Insights Specialty Care", "company" : "Pfizer", "industry" : "Biopharma", "salary" : { "min" : 214900.0, "max" : 214900.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "United States of America", "locations" : [ "United States of America" ], "timestamp" : "2026-06-12T10:20:11.443", "fingerprint" : "ce8311f2e7fa89d8de9a1889d016f1f1999030a3baa82b8bb73676119b568050", "source" : "workday", "language" : "en", "applyUrl" : "https://pfizer.wd1.myworkdayjobs.com/PfizerCareers/job/United-States---New-York---New-York-City/Senior-Director--Performance-Analytics-and-Insights-Specialty-Care_4955794-2", "externalId" : "4955794", "industryFunction" : { }, "locationPoint" : "51.43667,5.97917", "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "Python, R, SAS, SQL, Scala, Object-oriented programming", "professionalSkills" : [ "Performance analytics", "Commercial strategy", "Business intelligence", "Data science", "Data engineering", "ML/AI", "Analytics engineering", "Quantitative analysis", "Market research" ], "hardSkillsList" : [ "Data interrogation", "Measurement frameworks", "Patient insights", "HCP insights", "Competitive dynamics", "Launch performance", "Long-range planning", "Analytical quality", "Data governance", "Insight communication" ], "softSkillsList" : [ "Leadership", "Critical thinking" ], "hardSkills" : [ { "name" : "Data interrogation", "level" : "intermediate" }, { "name" : "Measurement frameworks", "level" : "intermediate" }, { "name" : "Patient insights", "level" : "intermediate" }, { "name" : "HCP insights", "level" : "intermediate" }, { "name" : "Competitive dynamics", "level" : "intermediate" }, { "name" : "Launch performance", "level" : "intermediate" }, { "name" : "Long-range planning", "level" : "intermediate" }, { "name" : "Analytical quality", "level" : "intermediate" }, { "name" : "Data governance", "level" : "intermediate" }, { "name" : "Insight communication", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Critical thinking" } ], "majorSkills" : "Performance analytics, Data insights, Analytics leadership", "majorSkillsList" : [ "Performance analytics", "Data insights", "Analytics leadership" ], "coreResponsibilities" : "Architect secondary analytics organization, Lead secondary analytics organization, Set analytical agenda, Translate brand strategy into analyses, Translate brand strategy into measurement frameworks, Build high-performing team, Develop high-performing team, Lead high-performing team, Retain high-performing team, Create culture of intellectual curiosity, Create culture of analytical rigor, Create culture of commercial impact, Serve as strategic thought partner, Deliver insights, Drive patient insights, Drive HCP insights, Use syndicated data sources, Use claims data sources, Use novel data sources, Uncover 'why' behind performance, Frame commercial questions, Structure commercial questions, Answer commercial questions, Pioneer new analytical methods, Integrate emerging data assets, Push boundaries of secondary analytics, Establish standards for analytical quality, Enforce standards for analytical quality, Establish standards for data governance, Enforce standards for data governance, Establish standards for insight communication, Enforce standards for insight communication", "teamCollaboration" : "Cross-functional partners; Commercial leadership; GCA teams; Data Science; Forecasting; Digital Analytics", "domainKnowledge" : "Biopharma; Specialty Care portfolio; Healthcare Life Sciences; Commercial performance; Oncology analytics", "domainList" : [ "biopharma", "specialty-care-portfolio", "healthcare-life-sciences", "commercial-performance", "oncology-analytics" ], "domainSpecificKnowledge" : [ "Biopharma", "Specialty Care portfolio", "Healthcare Life Sciences", "Commercial performance", "Oncology analytics" ], "toolProficiency" : [ "Tableau", "PowerBI", "Qlik", "Looker" ], "communicationSkills" : "Insight communication", "innovationCreativity" : "Pioneer new analytical methods; Push boundaries of secondary analytics", "problemSolvingSkills" : "Data interrogation; Analytical rigor; Critical thinking skills", "specialRequirements" : "Onsite 2.5 weekly, Permanent work authorization in the United States", "qualificationsBasic" : "Bachelor’s degree in a quantitative technical discipline, 12+ years’ experience in Biopharma, analytics, strategic consulting, business, or related area, 8+ years of hands-on coding experience in Python, R, SAS, SQL or other data analytics tools in life science, Leadership experience required, Demonstrated success in a highly fast-paced setting, Ability to identify new issues, trends, and opportunities from data, Ability to influence without authority, Demonstrated analytical capabilities and critical thinking skills, Recent Healthcare Life Sciences and ecosystem professional industry experience is required, Analytics, statistics and/or database knowledge and experience, Extensive expertise in SQL, Python, Scala or other object-oriented programming languages, Extensive understanding of data visualization tools, Experience designing and building complex dashboards, Permanent work authorization in the United States", "qualificationsPreferred" : "Master’s preferred, Commercial/marketing experience is a plus", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "**Job Description** Global Commercial Analytics (GCA) sits at the intersection of data, strategy, and commercial decision-making — translating complex, multi-source data into the intelligence that drives Pfizer's most consequential business decisions. GCA’s team of analysts, data scientists, and commercial strategists operates as the analytical backbone of the enterprise, partnering with senior leaders across the globe to answer questions that matter. GCA moves fast, thinks rigorously, and conducts analytics that have impact. The Performance Analytics and Insights team is seeking a Senior Director, PAI Specialty Care Lead to own the end-to-end secondary analytics engine for Pfizer's Specialty Care business. This is a strategic analytics leadership position for someone who can interrogate data, identify what it means for the business, and influence decisions at the highest levels of the organization. You will lead a team of deep analytics specialists and serve as the primary analytical voice for Specialty Care cross-functional partners and commercial leadership. **Role Responsibilities** The Senior Director will own the following: * Architect and lead a best-in-class secondary analytics organization for the Specialty Care portfolio, setting the analytical agenda and translating brand strategy into rigorous analyses and measurement frameworks. * Build, develop, lead and retain a high-performing team of analysts; create a culture of intellectual curiosity, analytical rigor, and commercial impact. * Serve as a strategic thought partner to cross-functional partners, BU leaders and heads of Specialty Care overall/IIS, delivering insights that are clear, defensible, and decision-ready. * Drive deep patient and HCP insights using syndicated, claims, and novel data sources — moving beyond trend reporting to uncover the \"why\" behind commercial performance. * Frame, structure, and answer the hardest commercial questions facing Specialty Care leadership, including competitive dynamics, market evolution, launch performance, and long-range planning. * Partner across GCA — including Data Science, Forecasting, and Digital Analytics — to pioneer new analytical methods, integrate emerging data assets, and push the boundaries of what secondary analytics can do. * Establish and enforce standards for analytical quality, data governance, and insight communication across the Oncology analytics ecosystem. **Qualifications** * Bachelor’s degree (Master’s preferred) in a quantitative technical discipline such as computer science, engineering or related field. * 12+ years’ experience in Biopharma, analytics, strategic consulting, business, or related area * 8+ years of hands-on coding experience in Python, R, SAS, SQL or other data analytics tools in life science * Leadership experience required. Must have managed cross-functional analytic teams and have a strong track-record of hiring analytical roles. * Demonstrated success in a highly fast-paced setting * Ability to identify new issues, trends, and opportunities from data * Ability to influence without authority, setting business direction, priorities, and action plans * Demonstrated analytical capabilities and critical thinking skills * Recent Healthcare Life Sciences and ecosystem professional industry experience is required, commercial/marketing experience is a plus. * Analytics, statistics and/or database knowledge and experience (using tools, applications, platforms, etc.). * Extensive expertise in SQL, Python, Scala or similar; other object-oriented programming languages. * Extensive understanding of data visualization tools and experience designing and building complex dashboards, including but not limited to Tableau, PowerBI, Qlik and Looker * Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact. _**Other Job Details:**_ **Last Day to Apply:** June 15, 2026 **Work Location :** Selected candidate must be onsite 2.5 weekly. The annual base salary for this position ranges from $214,900.00 to $358,100.00. In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 22.5% of the base salary and eligibility to participate in our share based long term incentive program. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life’s moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site – U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States.This role is posted in multiple locations. If you are applying for the role in an secondary job posting location where pay transparency regulations apply, your Talent Advisor will share the local pay information with you during the first interview. Relocation assistance may be available based on business needs and/or eligibility. Candidates must be authorized to be employed in the U.S. by any employer. U.S. work visa sponsorship (such as TN, O-1, H-1B, etc.) is not available for this role now or in the future. **Sunshine Act** Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider’s name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative. **EEO & Employment Eligibility** Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States. Pfizer endeavors to make [www.pfizer.com/careers](http://www.pfizer.com/careers) accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process and/or interviewing, please email [disabilityrecruitment@pfizer.com](mailto:disabilityrecruitment@pfizer.com). This is to be used solely for accommodation requests with respect to the accessibility of our website, online application process and/or interviewing. Requests for any other reason will not be returned. To learn more about acceptable and prohibited uses of AI during the recruitment process, please review our candidate AI-use guidelines available on [ _Pfizer Careers_](https://www.pfizer.com/about/careers/ai-use-guidelines). Marketing and Market Research", "summaryDescription" : "Senior Director, Performance Analytics and Insights Specialty Care at Pfizer. Skills: Performance analytics, Data insights, Analytics leadership. Architect secondary analytics organization. Lead secondary analytics organization", "postedDate" : "2026-06-09T13:36:13.809", "createdAt" : "2026-06-11T13:36:13.494", "lastUpdated" : "2026-06-12T10:20:11.443", "ingestTimestamp" : "2026-06-11T13:36:13.494", "mongoId" : "6a2a5deb74d8ee00a061acab", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://pfizer.wd1.myworkdayjobs.com/PfizerCareers/job/United-States---New-York---New-York-City/Senior-Director--Performance-Analytics-and-Insights-Specialty-Care_4955794-2", "salaryAnnualMin" : 214900, "salaryAnnualMax" : 214900, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Data interrogation", "Measurement frameworks", "Patient insights", "HCP insights", "Competitive dynamics", "Launch performance", "Long-range planning", "Analytical quality", "Data governance", "Insight communication", "Leadership", "Critical thinking", "Performance analytics", "Data insights", "Analytics leadership", "Commercial strategy", "Business intelligence", "Data science", "Data engineering", "ML/AI", "Analytics engineering", "Quantitative analysis", "Market research", "Biopharma", "Specialty Care portfolio", "Healthcare Life Sciences", "Commercial performance", "Oncology analytics", "Tableau", "PowerBI", "Qlik", "Looker" ], "skillCount" : 32, "jobCategory" : "other", "seniorityLevel" : "executive", "dataQualityScore" : 1.0, "daysOld" : 2, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Biopharma" }, { "id" : "6a2c92b974d8ee00a0986682", "title" : "Director, Product Marketing - Customer & Market Insights", "company" : "Attentive", "industry" : "Technology", "salary" : { "min" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-15T12:05:03.578", "fingerprint" : "56e0466b0be39d50008c8708bb88761eb34262ede646b96d157eb9a6acbf70a9", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/attentive/jobs/4282610009", "externalId" : "4282610009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "AI, Gong, Claude, ChatGPT", "professionalSkills" : [ "Market intelligence", "Product strategy", "Go-to-market execution", "Customer insights", "Market research", "Analyst relations", "Competitive intelligence", "Insight generation", "Strategic recommendations" ], "hardSkillsList" : [ "Qualitative research", "Quantitative research", "Win-loss analysis", "Surveys", "Advisory boards", "Market studies", "Competitive analysis", "Strategic planning" ], "softSkillsList" : [ "Leadership", "Mentoring", "Critical thinking" ], "hardSkills" : [ { "name" : "Qualitative research", "level" : "intermediate" }, { "name" : "Quantitative research", "level" : "intermediate" }, { "name" : "Win-loss analysis", "level" : "intermediate" }, { "name" : "Surveys", "level" : "intermediate" }, { "name" : "Advisory boards", "level" : "intermediate" }, { "name" : "Market studies", "level" : "intermediate" }, { "name" : "Competitive analysis", "level" : "intermediate" }, { "name" : "Strategic planning", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" }, { "name" : "Critical thinking" } ], "majorSkills" : "Customer Insights, Market Intelligence, Analyst Relations", "majorSkillsList" : [ "Customer Insights", "Market Intelligence", "Analyst Relations" ], "coreResponsibilities" : "Build Voice of the Market Program, Scale Voice of the Market strategy, Capture customer insights, Capture prospect insights, Capture partner insights, Capture analyst insights, Capture industry insights, Develop feedback collection approaches, Synthesize customer feedback, Operationalize customer feedback, Create repeatable programs, Influence product strategy, Influence positioning, Influence messaging, Influence GTM priorities, Serve as expert on customer needs, Serve as expert on buying behavior, Serve as expert on market trends, Serve as expert on emerging opportunities, Own customer insights research, Design qualitative research programs, Execute qualitative research programs, Design quantitative research programs, Execute quantitative research programs, Conduct customer interviews, Conduct win-loss analysis, Conduct surveys, Conduct advisory boards, Conduct market studies, Identify evolving customer needs, Identify unmet opportunities, Develop customer segmentation, Develop buyer insights, Develop market understanding, Translate research findings, Provide actionable recommendations, Lead analyst relations, Develop analyst relations strategy, Build analyst relationships, Manage analyst briefings, Manage analyst inquiries, Manage analyst reports, Manage strategic engagements, Incorporate analyst perspectives, Maximize analyst coverage, Drive competitive intelligence strategy, Own competitive intelligence program, Lead competitive intelligence execution, Build competitor tracking systems, Track competitor strategy, Track competitor product launches, Track competitor messaging, Track competitor pricing, Track competitor partnerships, Track competitor market movements, Deliver competitive insights, Inform sales enablement, Inform product roadmap decisions, Inform executive planning, Develop competitive assessments, Develop strategic recommendations, Build AI-powered market intelligence function, Leverage AI tools, Automate insight collection, Automate insight analysis, Automate insight synthesis, Automate insight reporting, Create scalable systems, Transform customer conversations, Transform analyst feedback, Transform market research, Transform competitive signals, Develop modern programs", "teamCollaboration" : "Connect Product Marketing; Connect Product; Connect Sales; Connect Customer Success; Connect Executive Leadership; Partner with Product; Partner with Customer Success; Partner with Sales; Partner with Communications; Partner with Marketing; Partner with Operations; Partner with Revenue teams", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "AI marketing; 1:1 personalization; SMS marketing; RCS marketing; Email marketing; Push notifications; Customer relationships; B2B SaaS; Commerce; Marketing technology; Enterprise software", "domainList" : [ "ai-marketing", "1-1-personalization", "sms-marketing", "rcs-marketing", "email-marketing", "push-notifications", "customer-relationships", "b2b-saas", "commerce", "marketing-technology", "enterprise-software" ], "domainSpecificKnowledge" : [ "AI marketing", "1:1 personalization", "SMS marketing", "RCS marketing", "Email marketing", "Push notifications", "Customer relationships", "B2B SaaS", "Commerce", "Marketing technology", "Enterprise software" ], "toolProficiency" : [ "Gong", "Claude", "ChatGPT" ], "communicationSkills" : "Executive presentations; Storytelling", "problemSolvingSkills" : "Analytical skills; Strategic recommendations", "qualificationsBasic" : "Voice of the Market function leadership, Customer needs understanding, Market dynamics translation, Product strategy informing, Go-to-market execution, Customer feedback synthesis, Customer feedback operationalization, Customer needs identification, Market trends identification, Emerging opportunities identification, Analyst relations strategy development, Analyst relationships building, Analyst briefings management, Analyst inquiries management, Analyst reports management, Analyst engagements management, Competitive intelligence vision, Competitive intelligence program leadership, Competitor tracking systems building, AI-powered market intelligence function building", "qualificationsPreferred" : "B2B SaaS experience, Commerce experience, Marketing technology experience, Enterprise software experience, Category creation background, Market development background, Thought leadership initiatives background, Modern research platforms familiarity, Intelligence platforms familiarity, Analytics platforms familiarity, Executive team support experience, Board-level discussions support, Strategic planning processes support", "remoteFriendly" : true, "rawDescription" : "Attentive® is the AI marketing platform for 1:1 personalization redefining the way brands and people connect. We’re the only marketing platform that combines powerful technology with human expertise to build authentic customer relationships. By unifying SMS, RCS, email, and push notifications, our AI-powered personalization engine delivers bespoke experiences that drive performance, revenue, and loyalty through real-time behavioral insights. Recognized as the #1 provider in SMS Marketing by G2, Attentive partners with more than 8,000 customers across 70+ industries. Leading global brands like Crate and Barrel, Urban Outfitters, and Carter’s work with us to enable billions of interactions that power tens of billions in revenue for our customers. With a distributed global workforce and employee hubs in New York City, San Francisco, London, and Sydney, Attentive’s team has been consistently recognized for its performance and culture. We’re proud to be included in Deloitte’s Fast 500 (four years running!), LinkedIn’s Top Startups, Forbes’ Cloud 100 (five years running!), Inc.’s Best Workplaces, and the Human Rights Campaign Foundation's Corporate Equality Index! About the Role We are seeking a strategic and analytically minded Director of Product Marketing, Customer & Market Insights to build and lead our Voice of the Market function. This leader will own the programs, processes, and intelligence systems that help us deeply understand customers, competitors, analysts, and market dynamics—and translate those insights into winning positioning, messaging, thought leadership, product strategy, and go-to-market execution. This role will serve as the connective tissue between Product Marketing, Product, Sales, Customer Success, and Executive Leadership, ensuring that decisions are informed by real customer needs and evolving market conditions. The ideal candidate combines traditional market intelligence expertise with a modern AI-first approach, leveraging technologies such as Gong, Claude, ChatGPT, and other AI-powered research tools to scale insight generation and uncover strategic opportunities. This role will initially manage one direct report, a Senior Product Marketing Manager focused on Competitive Intelligence, with the opportunity to build a broader insights organization over time. What You’ll Accomplish Build and Lead the Voice of the Market Program Establish and scale a company-wide Voice of the Market strategy that captures customer, prospect, partner, analyst, and industry insights. Develop systematic approaches to collecting, synthesizing, and operationalizing customer feedback. Create repeatable programs that ensure customer and market insights directly influence product strategy, positioning, messaging, and GTM priorities. Serve as the organization's expert on customer needs, buying behavior, market trends, and emerging opportunities. Own Customer Insights and Research Design and execute qualitative and quantitative research programs, including customer interviews, win/loss analysis, surveys, advisory boards, and market studies. Partner with Product, Customer Success, and Sales to identify evolving customer needs and unmet opportunities. Develop customer segmentation, buyer insights, and market understanding that inform product and GTM strategy. Translate research findings into actionable recommendations for executives and cross-functional stakeholders. Lead Analyst Relations Develop and execute the company's analyst relations strategy. Build trusted relationships with key industry analysts and influencers. Manage analyst briefings, inquiries, reports, and strategic engagements. Ensure analyst perspectives are incorporated into product strategy, positioning, and executive planning. Partner with Communications and Marketing to maximize analyst coverage and market credibility. Drive Competitive Intelligence Strategy Own the overall competitive intelligence vision and program. Lead and mentor the Senior PMM responsible for day-to-day competitive intelligence execution. Build scalable systems for tracking competitor strategy, product launches, messaging, pricing, partnerships, and market movements. Deliver competitive insights that inform sales enablement, product roadmap decisions, and executive planning. Develop executive-ready competitive assessments and strategic recommendations. Build an AI-Powered Market Intelligence Function Leverage AI tools such as Gong, Claude, ChatGPT, and emerging technologies to automate insight collection, analysis, synthesis, and reporting. Create scalable systems that transform customer conversations, analyst feedback, market research, and competitive signals into actionable intelligence. Partner with Operations and Revenue teams to develop modern workflows that surface insights in real time. Continuously evaluate new technologies and methodologies to increase the speed and quality of market intelligence. Influence Positioning, Messaging, and Thought Leadership Partner with Product Marketing leaders to translate market insights into differentiated positioning and messaging. Identify emerging trends and market shifts that create opportunities for thought leadership. Help shape executive narratives, category creation strategies, and market education efforts. Provide insight-driven recommendations that strengthen the company's market position and competitive advantage. Your Expertise 10+ years of experience in Product Marketing, Market Intelligence, Competitive Intelligence, Analyst Relations, Strategy, or related disciplines. Proven experience building customer insights, market intelligence, or Voice of the Customer/Market programs from the ground up. Strong background in analyst relations and managing relationships with industry analysts. Experience leading competitive intelligence initiatives that drive measurable business impact. Demonstrated success influencing executive decision-making through research and strategic insights. Experience managing and developing high-performing team members. Exceptional communication, storytelling, and executive presentation skills. Strong analytical skills with the ability to connect disparate signals into strategic recommendations. Hands-on experience using AI-powered tools such as Gong, Claude, ChatGPT, and related technologies to accelerate research and insight generation. Ability to thrive in fast-paced, high-growth environments. Preferred Qualifications Experience in B2B SaaS, commerce, marketing technology, or enterprise software. Background in category creation, market development, or thought leadership initiatives. Familiarity with modern research, intelligence, and analytics platforms. Experience supporting executive teams, board-level discussions, and strategic planning processes. You'll get competitive perks and benefits, from health & wellness to equity, to help you bring your best self to work. For US based applicants: The US base salary range for this full-time position is $180,000 - $210,000 annually + equity + benefits Our salary ranges are determined by role, level and location #LI-MM1 By applying for this position, your data will be processed as per Attentive's Privacy Policy. Attentive Company Values Default to Action - Move swiftly and with purpose Be One Unstoppable Team - Rally as each other’s champions Champion the Customer - Our success is defined by our customers' success Act Like an Owner - Take responsibility for Attentive’s success Learn more about AWAKE, Attentive’s collective of employee resource groups. If you do not meet all the requirements listed here, we still encourage you to apply! No job description is perfect, and we may also have another opportunity that closely matches your skills and experience. At Attentive, we know that our Company's strength lies in the diversity of our employees. Attentive is an Equal Opportunity Employer and we welcome applicants from all backgrounds. Our policy is to provide equal employment opportunities for all employees, applicants and covered individuals regardless of protected characteristics. We prioritize and maintain a fair, inclusive and equitable workplace free from discrimination, harassment, and retaliation. Attentive is also committed to providing reasonable accommodations for candidates with disabilities. If you need any assistance or reasonable accommodations, please let your recruiter know.", "summaryDescription" : "Director, Product Marketing - Customer & Market Insights at Attentive. Skills: Customer Insights, Market Intelligence, Analyst Relations. Build Voice of the Market Program. Scale Voice of the Market strategy", "postedDate" : "2026-06-14T03:48:29.297", "createdAt" : "2026-06-14T03:48:29.297", "lastUpdated" : "2026-06-15T12:05:03.578", "ingestTimestamp" : "2026-06-14T03:48:29.297", "mongoId" : "6a2c92b974d8ee00a0986682", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 210000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Qualitative research", "Quantitative research", "Win-loss analysis", "Surveys", "Advisory boards", "Market studies", "Competitive analysis", "Strategic planning", "Leadership", "Mentoring", "Critical thinking", "Customer Insights", "Market Intelligence", "Analyst Relations", "Market intelligence", "Product strategy", "Go-to-market execution", "Customer insights", "Market research", "Analyst relations", "Competitive intelligence", "Insight generation", "Strategic recommendations", "Roadmap planning", "AI marketing", "1:1 personalization", "SMS marketing", "RCS marketing", "Email marketing", "Push notifications", "Customer relationships", "B2B SaaS", "Commerce", "Marketing technology", "Enterprise software", "Gong", "Claude", "ChatGPT" ], "skillCount" : 38, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.97 }, { "id" : "69fda4e44c40e2acd1b998ff", "title" : "Sr. Product Manager - Tech, Sharing & Insights", "company" : "Amazon.com Services LLC", "industry" : "Project/Program/Product Management--Technical, Product Management - Technical, entertainment", "salary" : { "min" : 173900.0, "max" : 235200.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "San Francisco, California, USA", "locations" : [ "San Francisco, California, USA" ], "timestamp" : "2026-06-15T08:29:31.027", "fingerprint" : "9eda2cf74b6f15ba5efadcb120ecb599ab8c8758f65365675abcccfe0c0913da", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10413073/apply", "externalId" : "78380b71-bfff-43c1-b496-7f771e10a708", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI capabilities", "professionalSkills" : [ "Consumer product sense", "Big-picture thinking", "Rigorous execution" ], "majorSkills" : "Product strategy, Roadmap development, User stories", "majorSkillsList" : [ "Product strategy", "Roadmap development", "User stories" ], "coreResponsibilities" : "Manage product vision, Manage product roadmap, Create unique experiences, Own core sharing flows, Make content shareable, Deliver innovative experiences, Deliver emotionally resonant experiences", "teamCollaboration" : "Engineering teams; Design teams; Creative teams; Data teams; Artist-facing teams", "projectManagementSkills" : [ "Roadmap strategy", "Roadmap definition" ], "domainKnowledge" : "Amazon Music; Fandom; Music industry; Podcasts", "domainList" : [ "amazon-music", "fandom", "music-industry", "podcasts" ], "domainSpecificKnowledge" : [ "Amazon Music", "Fandom", "Music industry", "Podcasts" ], "toolProficiency" : [ "Tableau", "Qlikview", "QuickSight" ], "innovationCreativity" : "Leading-edge AI capabilities; Creative teams", "qualificationsBasic" : "5+ years technical product management, 3+ years end to end product delivery, Bachelor's degree, Contribute to engineering discussions, Experience with feature delivery, Experience owning roadmap strategy, Experience managing technical products, Representing customer stakeholders", "qualificationsPreferred" : "Experience using analytical tools, Experience in entertainment industry, 5+ years mass-market consumer products", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon Music is looking for a Senior Technical Product Manger to join the Sharing & Insights team within our Community and Fandom org. In this highly visible role, you will manage the product vision and roadmap to scale some of Amazon Music’s biggest bets by creating unique experiences that celebrate our customers' fandom in delightful, engaging ways. Specifically, you will be responsible for the overall strategic vision and successful execution of our year-end listening recap, Delivered, as well as our program of ongoing Insights that celebrate moments of fandom on a recurring basis inside the app. You will also own our core Sharing flows, with the vision of making all content on Amazon Music highly shareable, both inside and outside the service. In the process, you will partner deeply with engineering, design, creative, data, and artist-facing teams teams to deliver innovative experiences at scale that make Amazon Music the best place to be a fan. You’ll have the opportunity to work with both leading-edge AI capabilities and creative teams to deliver innovative, emotionally resonant experiences to our customers at scale. A successful candidate will have a strong consumer product sense as well as an ability to manage successful collaboration across technical, creative, and business teams. This person should index high on ownership and should be able to balance big-picture thinking with rigorous execution to deliver results that our customers will love. About the team Amazon Music is an immersive audio entertainment service that deepens connections between fans, artists, and creators. From personalized music playlists to exclusive podcasts, concert livestreams to artist merch, Amazon Music is innovating at some of the most exciting intersections of music and culture. We offer experiences that serve all listeners with our different tiers of service: Prime members get access to all the music in shuffle mode, and top ad-free podcasts, included with their membership; customers can upgrade to Amazon Music Unlimited for unlimited, on-demand access to 100 million songs, including millions in HD, Ultra HD, and spatial audio; and anyone can listen for free by downloading the Amazon Music app or via Alexa-enabled devices. Join us for the opportunity to influence how Amazon Music engages fans, artists, and creators on a global scale. Learn more at https://www.amazon.com/music. Basic Qualifications: - 5+ years of technical product or program management experience - 3+ years of end to end product delivery experience - Bachelor's degree - Experience contributing to engineering discussions around technology decisions and strategy related to a product - Experience with feature delivery and tradeoffs of a product - Experience owning/driving roadmap strategy and definition - Experience managing technical products or online services - Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning Preferred Qualifications: - Experience in using analytical tools, such as Tableau, Qlikview, QuickSight - Experience in the entertainment industry, preferably within Podcasts or Music - 5+ years of mass-market consumer web / mobile products experience Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, Culver City - 151,200.00 - 204,600.00 USD annually USA, CA, San Francisco - 173,900.00 - 235,200.00 USD annually USA, NY, New York - 166,300.00 - 225,000.00 USD annually USA, WA, Seattle - 151,200.00 - 204,600.00 USD annually", "summaryDescription" : "Sr. Product Manager - Tech, Sharing & Insights at Amazon.com Services LLC. Skills: Product strategy, Roadmap development, User stories. Manage product vision. Manage product roadmap", "postedDate" : "2026-06-13T09:51:46.595", "createdAt" : "2026-06-13T09:51:46.595", "lastUpdated" : "2026-06-15T08:29:31.027", "ingestTimestamp" : "2026-06-13T09:51:46.595", "mongoId" : "69fda4e44c40e2acd1b998ff", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10413073/apply", "salaryAnnualMin" : 173900, "salaryAnnualMax" : 235200, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Product strategy", "Roadmap development", "User stories", "Consumer product sense", "Big-picture thinking", "Rigorous execution", "Roadmap strategy", "Roadmap definition", "Amazon Music", "Fandom", "Music industry", "Podcasts", "Tableau", "Qlikview", "QuickSight" ], "skillCount" : 15, "jobCategory" : "project-management", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Music Streaming" }, { "id" : "6a2ca65e74d8ee00a09bb04f", "title" : "Senior Product Manager - Shop Insights Platform", "company" : "bol. com", "industry" : "E-Commerce", "salary" : { "min" : 85000.0, "max" : 125000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Product Manager in E-commerce in Utrecht, Netherlands, adjusted for seniority and company size." }, "location" : "Utrecht, Utrecht, Netherlands", "locations" : [ "Utrecht", "Utrecht", "Netherlands" ], "timestamp" : "2026-06-15T13:02:51.149", "fingerprint" : "e5f662da31e2b1c58636fe87e976a3c39086005b789de48d447b70e4507ca940", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/bolcomen/jobs/8572555002", "externalId" : "8572555002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Utrecht", "state" : "Utrecht", "country" : "Netherlands", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.0907006,5.1215634" } ], "locationText" : "Utrecht, Utrecht, Netherlands", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "coreResponsibilities" : "Focus on product strategy, Focus on roadmap, Focus on user stories, Focus on cross-functional collaboration", "rawDescription" : "x", "summaryDescription" : "Senior Product Manager - Shop Insights Platform at bol. com. Focus on product strategy. Focus on roadmap", "postedDate" : "2026-06-14T02:56:36.264", "createdAt" : "2026-06-14T02:56:36.264", "lastUpdated" : "2026-06-15T13:02:51.149", "ingestTimestamp" : "2026-06-14T02:56:36.264", "mongoId" : "6a2ca65e74d8ee00a09bb04f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c8db074d8ee00a09799ea", "title" : "SVP Practice and Performance Delivery", "company" : "Quantexa", "industry" : "Delivery", "salary" : { "min" : 200000.0, "max" : 350000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an executive-level SVP Practice and Performance Delivery in London, UK, adjusted for the technology industry and company size." }, "location" : "London", "locations" : [ "London" ], "timestamp" : "2026-06-15T09:30:37.840", "fingerprint" : "cde6995ac96b1eb62d9a9adaa9ff000939d23ca765cefe8ba77547caff0f1723", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/quantexa/1e2a72aa-c6bc-4c1d-9254-ec94f0ecbf4e/application", "externalId" : "1e2a72aa-c6bc-4c1d-9254-ec94f0ecbf4e", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 10, "experienceMaxYears" : 99, "experienceLevel" : "Executive", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement", "Financial management", "Performance reporting" ], "majorSkills" : "Practice strategy, Delivery evolution, Operational control, Financial control", "majorSkillsList" : [ "Practice strategy", "Delivery evolution", "Operational control", "Financial control" ], "coreResponsibilities" : "Define and deliver goals, Own Global Practice strategies, Lead Delivery Service Operations, Lead Programme Management Office teams, Provide operational and financial control, Provide resource allocation, Provide project services, Lead Delivery Evolution Programme, Transform Delivery function, Own strategy for enabling Partners, Ensure customer experience with Partners", "teamCollaboration" : "Across multiple teams; Regional teams; Global Practice Managers", "projectManagementSkills" : [ "Programme Management" ], "domainKnowledge" : "Financial crime; Customer lifecycle management", "domainList" : [ "financial-crime", "customer-lifecycle-management" ], "domainSpecificKnowledge" : [ "Financial crime", "Customer lifecycle management" ], "communicationSkills" : "Communicate with clarity", "continuousLearning" : "Continuous Training and Development", "problemSolvingSkills" : "Solve complex problems", "outcomesObjectives" : "Strengthen Delivery's profitability; Transform partner engagement; Optimize delivery ways of working; Reduce project effort; Leverage AI tooling", "qualificationsBasic" : "Background in professional services, Responsibility for strategic direction, Operational focus, Financial management, Resource allocation, Performance reporting, Inspire and lead others, Collaborate effectively across teams, Grasp complex concepts, Communicate with clarity and gravitas", "qualificationsPreferred" : "Consulting services background", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "What we’re all about. At Quantexa, we believe that when we come together in the pursuit of excellence, great things happen. That’s how we do things - together. While our business is built on data, our culture is collective. We focus on growth - not just the bottom line - and foster an environment where people feel empowered to do their best work. Even though we operate across continents and time zones, collaboration is at the heart of everything we do. We stay connected, celebrate our successes, and unite to tackle challenges as one team. With colleagues in 19 countries, speaking over 20 languages and representing 61 nationalities, we create a true sense of belonging. At Quantexa, we’re looking for people who share that vision. People like you. If our incredible culture sounds like you, we’d love you to join us. The Opportunity. At Quantexa, our project Delivery teams are central to our clients' success, enabling them to adopt our technology effectively for multiple use cases including financial crime and customer lifecycle management. We currently operate Delivery teams across three regions (APAC, EMEA and NA) with team members located in London, Liverpool, Malaga, Dubai, Singapore, Kuala Lumpur, Tokyo, Melbourne, Sydney, Boston, New York, Toronto and Ottawa. Each Region comprises the following, reporting into the SVP of Region: - One or more Delivery or Programme Managers, each owning project delivery to a portfolio of clients; - Four Regional Practice Managers providing line management and leadership of the staff in each practice. Our four main practices are the units into which our teams are allocated. Each has a Global Practice Manager owning the strategy and direction for the practice: - Project and Programme Management - Solution Architects - Data Engineering and Tech Leads - Technical Business Analysts We are seeking a highly commercially minded SVP of Delivery Practices and Performance. This is a global role supporting our three SVP Regional Heads and the COO. The purpose of this role is to provide a set of operational support services to each of the regional heads and to lead a series of strategic initiatives to evolve and transform the Delivery function against the future needs of the business. Three immediate areas of focus for the role include: - Strengthening Delivery’s contribution to the overall company profitability - Transforming how we work with our professional partners aligning to our Partner First strategy - Optimising delivery ways of working to reduce project effort and leverage the latest developments in AI tooling These areas of focus will develop and evolve as the business grows and evolves itself. What you’ll be doing. - You will report directly to the Chief Operations Officer to help define and deliver the Delivery function’s overall goals. - You will own our Global Practice strategies covering the Delivery wide organisational priorities for each practice and their future direction and evolution based upon market and company dynamics. Global Practice Managers will report to you. - You will lead our Delivery Service Operations and Programme Management Office teams providing operational and financial control, resource allocation and project services to the regional teams. - You will lead our Delivery Evolution Programme focussed upon transforming the Delivery function against the future needs of the business. - You will own the strategy for enabling Partners to Deliver Quantexa services to high standards, ensuring that our customers get the same experience working with our Partners as they do when working with us. What you’ll bring. - A strong background in professional or consulting services, with responsibility for setting the strategic direction of a significant team. - A strong operational focus, including financial management, resource allocation, and performance reporting. - The ability to inspire and lead others towards a shared mission and common objectives. - The ability to collaborate effectively across multiple teams to solve complex problems and deliver meaningful outcomes. - Ambition balanced with humility, alongside a commitment to doing the right thing in the right way. - Strong capability in grasping complex concepts and communicating with clarity and gravitas across a range of subjects. Our perks and quirks. What makes you Q will help you to realize your full potential, flourish and enjoy what you do, while being recognized and rewarded with our broad range of benefits. We offer: - Competitive salary & Company bonus - 25 days annual leave (with the option of buying up to 5 days, and rolling over up to 10), plus national holidays + your birthday off! - Pension scheme with a company contribution of 6% (when you contribute 3%) - Private Healthcare, including dental & optic cover - Life Insurance and Income Protection - Regularly bench-marked salary rates - Enhanced Maternity, Paternity, Adoption, or Shared Parental Leave - Well-being days - Volunteer Day off - Work from Home Equipment - Commuter, Tech and cycle to work schemes - Free Subscription to a meditation, relaxation and sleep app - Continuous Training and Development - Spend up to 2 months working outside of your country of employment over a rolling 12-month period with our ‘Work from Anywhere’ policy - Team Social Budget & Company-wide Socials Our mission. We have one mission. To help businesses grow. To make data easier. And to make the world a better place. We’re not a start-up. Not anymore. But we’ve not been around that long either. What we are is a collection of bright, passionate minds harnessing complexities and helping our clients and their communities. One culture, made of many. Heading in one direction – the future. It’s all about you. We want you to feel welcome, valued, and respected - because it’s your individuality and passion that make you Q. We see that, and we celebrate it. That’s why we’re proud to be an Equal Opportunity Employer. We are committed to fostering an inclusive and diverse work environment, continuously improving to ensure everyone belongs. Our recruitment process is designed to be inclusive and accessible. If you need any reasonable adjustments or accommodations, please let our Talent Acquisition Team know - we’re happy to assist. No matter your race, beliefs, color, national origin, gender, sexual orientation, age, marital status, neurodiversity, or abilities—whoever you are—if you're a passionate, curious, and caring human eager to push the boundaries of what’s possible, we want to hear from you.", "summaryDescription" : "SVP Practice and Performance Delivery at Quantexa. Skills: Practice strategy, Delivery evolution, Operational control, Financial control. Define and deliver goals. Own Global Practice strategies", "createdAt" : "2026-06-14T06:37:19.651", "lastUpdated" : "2026-06-15T09:30:37.840", "ingestTimestamp" : "2026-06-14T06:37:19.651", "mongoId" : "6a2c8db074d8ee00a09799ea", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Practice strategy", "Delivery evolution", "Operational control", "Financial control", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement", "Financial management", "Performance reporting", "Programme Management", "Financial crime", "Customer lifecycle management" ], "skillCount" : 16, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Executive", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca65e74d8ee00a09bb04c", "title" : "Senior Product Manager - Shop Insights Platform", "company" : "bol. com", "industry" : "E-Commerce", "salary" : { "min" : 85000.0, "max" : 125000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for E-commerce in Utrecht, Netherlands, adjusted for Senior Product Manager role at bol. com." }, "location" : "Utrecht, Utrecht, Netherlands", "locations" : [ "Utrecht", "Utrecht", "Netherlands" ], "timestamp" : "2026-06-15T03:23:50.369", "fingerprint" : "f2d03d23fcca529703403cd3b505364d0f9e6429e98a2850581afdb6aa5850fa", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/bolcomen/jobs/8572549002", "externalId" : "8572549002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Utrecht", "state" : "Utrecht", "country" : "Netherlands", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.0907006,5.1215634" } ], "locationText" : "Utrecht, Utrecht, Netherlands", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "coreResponsibilities" : "Focus on product strategy, Focus on roadmap, Focus on user stories, Focus on cross-functional collaboration", "rawDescription" : "x", "summaryDescription" : "Senior Product Manager - Shop Insights Platform at bol. com. Focus on product strategy. Focus on roadmap", "postedDate" : "2026-06-13T21:21:48.946", "createdAt" : "2026-06-13T21:21:48.946", "lastUpdated" : "2026-06-15T03:23:50.369", "ingestTimestamp" : "2026-06-13T21:21:48.946", "mongoId" : "6a2ca65e74d8ee00a09bb04c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c7ab774d8ee00a0946892", "title" : "Power Markets Modelling and Insights Lead", "company" : "Baringa", "industry" : "Consulting", "salary" : { "min" : 220000.0, "max" : 300000.0, "currency" : "AUD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Lead Power Markets Modelling and Insights role in Sydney, Australia, adjusted for the energy industry and company size." }, "location" : "Sydney", "locations" : [ "Sydney" ], "timestamp" : "2026-06-15T11:10:54.787", "fingerprint" : "ea232c6d0dafcf600d921f91388b9c5c34b9d885a8cad9988a4861ed93c77eac", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/baringa/jobs/4874997101", "externalId" : "4874997101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sydney", "state" : "New South Wales", "country" : "Australia", "continent" : "oc", "source" : "llm", "workMode" : "onsite", "geo" : "-33.8698439,151.2082848" } ], "locationText" : "Sydney, New South Wales, Australia", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "Python, Aimms, R, VBA, SQL", "professionalSkills" : [ "Market analysis", "Product development", "Data architecture" ], "hardSkillsList" : [ "Modelling", "Analytics", "Market projections" ], "hardSkills" : [ { "name" : "Modelling", "level" : "intermediate" }, { "name" : "Analytics", "level" : "intermediate" }, { "name" : "Market projections", "level" : "intermediate" } ], "majorSkills" : "Power market modelling, Energy market insights, Product roadmap", "majorSkillsList" : [ "Power market modelling", "Energy market insights", "Product roadmap" ], "coreResponsibilities" : "Deliver Power Market projections, Manage a team of modellers, Manage market experts, Develop new models, Analyse the Energy market, Shape product roadmap, Build understanding of client needs, Translate market insights, Collaborate with leadership, Embed best practice, Evolve best practice, Ensure consistency, Ensure scalability, Drive development of data architecture, Lead development of new power market models, Build relationships with consulting team, Provide support with models", "teamCollaboration" : "Global Products Team; Commercial leadership; Energy Advisory leadership; Consulting team", "projectManagementSkills" : [ "Product roadmap" ], "domainKnowledge" : "Energy sector; Power market fundamentals; Market design; Electricity market outcomes; Australia energy market", "domainList" : [ "energy-sector", "power-market-fundamentals", "market-design", "electricity-market-outcomes", "australia-energy-market" ], "domainSpecificKnowledge" : [ "Energy sector", "Power market fundamentals", "Market design", "Electricity market outcomes", "Australia energy market" ], "toolProficiency" : [ "PLEXOS" ], "qualificationsBasic" : "Managing modelling/analytics teams, Developing power market models, Understanding power market fundamentals, Understanding market design, Understanding electricity market outcomes", "qualificationsPreferred" : "Shaping a Product Team strategy, Associated prioritised Product Roadmap", "workSiteFlexibility" : "Flexible", "rawDescription" : "About Baringa Baringa is a global consulting firm that partners with leaders to drive change and create value. With deep industry expertise, and enabled by advanced technology, the firm helps clients to deliver with greater confidence and certainty. With over 2,000 people across the UK, Europe, North America, Asia and Australia, the firm combines global insight with local understanding. The firm works across energy and resources, financial services, government and public sector, consumer products and retail, pharmaceuticals and life sciences, manufacturing, and technology, media and telecoms, with capabilities spanning strategy, transformation and operational excellence – all powered by advanced technology, data, AI and digital innovation. Clients value Baringa’s collaborative approach and the way its teams integrate seamlessly – all working with a shared understanding of what matters most. The firm is known for its kind, curious experts who listen closely and care deeply about client success as they help clients transform energy markets, modernise financial platforms, expand telecoms and digital networks through advanced data analytics, enable digital services in government, and unlock growth in consumer sectors. Certified as a Great Place to Work around the world, Baringa has been recognised by the Financial Times in 22 categories of its UK Leading Management Consultants rankings, and by Forbes for four consecutive years as one of the World’s Best Management Consulting Firms. We are looking for an experienced Modelling and Insights Lead to join our market-leading Australian Energy practice in Sydney or Melbourne. Our global Energy practice offers our clients an unparalleled combination of energy market expertise and commercial insight. We are proud to work with the foremost policymakers, regulators, investors, developers, lenders, and energy companies operating globally across the energy supply chain. Led by a Senior Management Team respected as Thought Leaders within the industry, we help our clients shape, define, and implement change in energy markets. Within this global practice, our Energy Products Business develops and commercialises the firm’s insights and SaaS product offerings, serving clients across approximately 65 countries. Built on a shared stack of power, gas, energy system and asset models, it brings the firm’s expertise and analytical capability to market in standardised, scalable forms. The team is cross-functional, spanning product management, quantitative modelling, and software and data engineering, organised into small, outcome-focused squads working at the intersection of deep analytical expertise and commercial product delivery. We are now looking for a talented Senior Modelling and Insights expert to join our Energy Products team. You will be managing the delivery of Baringa’s market leading quarterly Power Market Reports, managing a team of modellers and market experts within our Products Team. You will work at the forefront of our industries, managing and developing new and existing models to analyse the Energy market for a range of blue-chip, global clients. Our market leading growth along with our continued ambitious expansion plans mean that we can continue to offer our employees the progression, development and diverse range of work they are looking for. What you will be doing Responsible for the delivery of Baringa’s leading quarterly Power Market projections and analytics for Australia, as well as new products due for launch into our global product suite Shape and drive the product roadmap by building a deep understanding of client needs, translating market insights into prioritised development initiatives, and collaborating closely with Commercial and Energy Advisory leadership to ensure alignment with client demand and growth strategy. Collaborate with the global Products Team to embed and evolve best practice across modelling and technology deployment, ensuring consistency, scalability and continuous improvement in our product offering. Lead and develop a team of modellers and market experts Drive the development of our data architecture Lead the development of new power market models in our existing toolkit - PLEXOS Build relationships with our consulting team, to provide support with new and existing models Your skills and experience Proven track record of managing modelling/analytics teams in the energy sector Proven experience of developing power market models and projections, using tools such as: Python, Aimms, R, VBA, SQL, PLEXOS Strong understanding of power market fundamentals, market design and the key drivers shaping electricity market outcomes in Australia Interest or experience in shaping a Product Team strategy and associated prioritised Product Roadmap Ability to communicate complex concepts and modelling results succinctly to both technical and non-technical colleagues, and present these results to clients Experience of deploying LLMs and agentic AI in an analytical and/or development environment Experience of or interest in working in an agile environment Experience of managing senior stakeholders What a career at Baringa will give you Putting People First. Baringa is a People First company and wellbeing is at the forefront of our culture. We recognise the importance of work-life balance and flexible working and provide our staff amazing benefits. Some of these benefits include: Generous Annual Leave Policy: We recognise everyone needs a well-deserved break. We provide our employees with 5 weeks of annual leave, fully available at the start of each year. In addition to this, we have introduced our 5-Year Recharge benefit which allows all employees an additional 2 weeks of paid leave after 5 years continuous service. Flexible Working: We know that the ‘ideal’ work-life balance will vary from person to person and change at different stages of our working lives. To accommodate this, we have implemented a hybrid working policy and introduced more flexibility around taking unpaid leave. Corporate Responsibility Days: Our world is important to us, so all our employees get 3 every year to help social and environmental causes and increase our impact on the communities that mean the most to us. Wellbeing Fund: We want to encourage all employees to take charge and prioritise their own wellbeing. We’ve introduced our annual People Fund to support this by offering every individual a fund to support and manage their wellbeing through an activity of their choice. Profit Share Scheme: All employees participate in the Baringa Group Profit Share Scheme so everyone has a stake in the company’s success. Diversity and Inclusion We are proud to be an Equal Opportunity Employer. We believe that creating an environment where everyone feels a sense of belonging is central to our culture and that diversity is paramount to driving creativity, innovation, and value for our clients and for our people. An award-winning workplace You can be a part of our ‘Great Place to Work’ – with our commitment to women and well-being in the workplace for all. Click here to see some of our recent awards and how we’ve achieved this. Using business as a force for good. We maintain high standards of environmental performance and transparency, which can be seen through our commitment to Net Zero with our SBTI-verified Scope 1, 2 and 3 emissions reduction targets and our support of the Better Business Act. We report our progress publicly and ensure that we are also externally assessed and scored through organisations like CDP and EcoVadis - helping us to continually identify where we can improve. We have a long legacy of supporting the communities in which we work, and offer a variety of ways to contribute, by putting people first and creating impact that lasts. Our Corporate Social Responsibility (CSR) agenda is about giving back to the communities in which we live and work by sharing our skills, talent and time. In essence, we aim to empower and encourage everyone in the firm to contribute to the things we care about, and support registered charities and organisations with a clear social or environmental purpose to increase the positive impact they can have. Join us All applications received will be reviewed by a member of our Talent Acquisition team. We never rely solely on automated screening or AI tools to make hiring decisions. Your application will be considered for employment without regard to race, ethnicity, religion, gender, gender identity or expression, sexual orientation, nationality, disability, age, faith or social background. We do not filter applications by university background and encourage those who have taken alternative educational and career paths to apply. We would like to actively encourage applications from those who identify with less represented and minority groups. We operate an inclusive recruitment process, ensuring reasonable adjustments where needed. Please contact a member of our Recruitment Team to discuss further. Baringa Privacy Notices For UK & EU Your personal data will be retained by Baringa for up to two years, in accordance with our UK Recruitment Privacy Notice / EU Recruitment Privacy Notice, to evaluate your application and meet our legal and reporting obligations. In line with the General Data Protection Regulation (GDPR), you have the right to request access to, rectification, or erasure (subject to legal limitations) of your personal data. For more information, please contact us at privacy@baringa.com For the USA Your personal data may be retained by Baringa for up to two years, as outlined in our Recruitment Privacy Notice (AMER & APAC), to support the recruitment process and internal reporting requirements. Where applicable, and in accordance with relevant federal and state laws, you may have the right to request access to or correction of your personal information. For further details, please contact privacy@baringa.com For Australia & Singapore Your personal data will be retained by Baringa for up to two years, in accordance with our Recruitment Privacy Notice (AMER & APAC), to assess your application and meet applicable reporting and legal obligations. In line with the Australian Privacy Act and Singapore’s Personal Data Protection Act (PDPA), you may have rights to access, correct, or request limited deletion of your personal data. For more information, please contact us at privacy@baringa.com", "summaryDescription" : "Power Markets Modelling and Insights Lead at Baringa. Skills: Power market modelling, Energy market insights, Product roadmap. Deliver Power Market projections. Manage a team of modellers", "postedDate" : "2026-06-13T21:09:32.133", "createdAt" : "2026-06-13T21:09:32.133", "lastUpdated" : "2026-06-15T11:10:54.787", "ingestTimestamp" : "2026-06-13T21:09:32.133", "mongoId" : "6a2c7ab774d8ee00a0946892", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Modelling", "Analytics", "Market projections", "Power market modelling", "Energy market insights", "Product roadmap", "Market analysis", "Product development", "Data architecture", "Energy sector", "Power market fundamentals", "Market design", "Electricity market outcomes", "Australia energy market", "PLEXOS" ], "skillCount" : 15, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Energy", "llmIndustryConfidence" : 0.95 }, { "id" : "68c2e425f8b1b0376634c612", "title" : "Applied Scientist, Financial Insights and Actions", "company" : "Amazon Development Centre Canada ULC", "industry" : "Data Science, Applied Science, ecp", "salary" : { "min" : 149300.0, "max" : 249300.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Vancouver, British Columbia, CAN", "locations" : [ "Vancouver, British Columbia, CAN" ], "timestamp" : "2026-06-15T05:30:38.045", "fingerprint" : "737d99f0ecbd367773e7e0b150c46aab09bd6cc0dcb47b3e5bcb9c4bc61ab181", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3073811/apply", "externalId" : "67fc366e-6490-4a9b-b3d7-01ae4a830300", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Vancouver", "state" : "British Columbia", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "49.2608724,-123.1139520" } ], "locationText" : "Vancouver, British Columbia, Canada", "employmentType" : "FULL_TIME", "technicalSkills" : "GenAI, LLMs, Python", "professionalSkills" : [ "Financial analysis", "Accounting", "Business intelligence" ], "hardSkillsList" : [ "Machine learning", "Data mining", "Statistical algorithms", "Anomaly detection", "Model development", "Model validation", "Model fine-tuning", "Agentic solutions" ], "softSkillsList" : [ "Written communication", "Verbal communication" ], "hardSkills" : [ { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Data mining", "level" : "intermediate" }, { "name" : "Statistical algorithms", "level" : "intermediate" }, { "name" : "Anomaly detection", "level" : "intermediate" }, { "name" : "Model development", "level" : "intermediate" }, { "name" : "Model validation", "level" : "intermediate" }, { "name" : "Model fine-tuning", "level" : "intermediate" }, { "name" : "Agentic solutions", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Written communication" }, { "name" : "Verbal communication" } ], "majorSkills" : "Machine learning, GenAI, LLMs, Financial insights", "majorSkillsList" : [ "Machine learning", "GenAI", "LLMs", "Financial insights" ], "coreResponsibilities" : "Leverage GenAI/LLMs build agentic solutions, Build AI trust and safety, Establish scalable, efficient, automated processes, Develop training/evaluation datasets, Collaborate with engineering productionalize research, Develop anomaly detection models, Build multi-agent systems, Fine-tune LLMs provide recommendations", "teamCollaboration" : "Domain experts; Engineers; Scientists; Product Managers; Accounting stakeholders", "domainKnowledge" : "Financial domain; Accounting processes", "domainList" : [ "financial-domain", "accounting-processes" ], "domainSpecificKnowledge" : [ "Financial domain", "Accounting processes" ], "communicationSkills" : "Written communication; Verbal communication", "innovationCreativity" : "Scientific research; Publishing papers", "problemSolvingSkills" : "Business problems", "qualificationsBasic" : "3+ years business problems ML, 3+ years programming Java, C++, Python, PhD or Master's degree, 4+ years CS, CE, ML experience, Experience algorithms and data structures, Experience parsing, Experience numerical optimization, Experience data mining, Experience parallel and distributed computing, Experience high-performance computing, Experience patents or publications", "qualificationsPreferred" : "PhD preferred, Experience applying theoretical models", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you interested in changing the way accounting and finance works at Amazon? We are a science and engineering team leveraging ML models and GenAI/LLMs to solve real-world problems faced by accountants and financial analysts. We are part of the Amazon Financials Foundation Services (AFFS) organization. AFFS is responsible for processing and managing billions of financially relevant transactions sent globally from across Amazon each day, including orders, shipments, payments, and inventory movements. AFFS is at the center of Amazon's key initiatives and fuels the growth of Amazon's businesses worldwide by ensuring that businesses can easily integrate with our services and that accountants and financial analysts have the right tools to use our data. As an Applied Scientist, you'll work alongside domain experts, engineers, and other scientists to understand business problems, propose scientific solutions, and deploy them to production. You'll work on scientific initiatives for accelerating reconciliation, standardization, and onboarding. This includes: - Leveraging GenAI/LLMs to build agentic solutions to accelerate accounting-related research/tasks and produce proactive insights. - Building AI trust and safety in the financial domain. - Establishing scalable, efficient, automated processes for large-scale data analysis, machine learning model development, model validation, and serving. - Developing training/evaluation datasets for model fine-tuning. - Collaborating with engineering to productionalize research. Specific examples of this work include developing anomaly detection models to identify deviations in payments, building multi-agent systems to perform financial research or onboard new businesses, and fine-tuning LLMs to provide recommendations on next steps. As an interdisciplinary team, we maintain a balance between scientific research and productionalization. This means, you'll get a unique opportunity to influence the global scientific community by publishing papers externally and internally while also seeing your work used across Amazon. You will need to have a start-up like mindset, as you will be working an in a highly iterative and collaborative environment with SDEs, Product Managers, and Accounting stakeholders to propose ideas, experiment, and scale rapidly. You should have a keen eye for what a good user experience should look like, possess excellent written and verbal communication, and have a keen interest in learning about accounting and financial processes. Basic Qualifications: - 3+ years of solving business problems through machine learning, data mining and statistical algorithms experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience in patents or publications at top-tier peer-reviewed conferences or journals - 3+ years of programming in Java, C++, Python or related language experience - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Preferred Qualifications: - Experience applying theoretical models in an applied environment Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary for this position ranges from $149,300/year up to $249,300/year. Salary is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. Applicants should apply via our internal or external career site.", "summaryDescription" : "Applied Scientist, Financial Insights and Actions at Amazon Development Centre Canada ULC. Skills: Machine learning, GenAI, LLMs, Financial insights. Leverage GenAI/LLMs build agentic solutions. Build AI trust and safety", "postedDate" : "2026-06-13T17:08:05.421", "createdAt" : "2026-06-13T17:08:05.421", "lastUpdated" : "2026-06-15T05:30:38.045", "ingestTimestamp" : "2026-06-13T17:08:05.421", "mongoId" : "68c2e425f8b1b0376634c612", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3073811/apply", "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Machine learning", "Data mining", "Statistical algorithms", "Anomaly detection", "Model development", "Model validation", "Model fine-tuning", "Agentic solutions", "Written communication", "Verbal communication", "GenAI", "LLMs", "Financial insights", "Financial analysis", "Accounting", "Business intelligence", "Financial domain", "Accounting processes" ], "skillCount" : 18, "jobCategory" : "data", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2b1ef474d8ee00a07780cf", "title" : "Specialist, Training and Performance", "company" : "Board of Pensions", "salary" : { "min" : 72500.0, "max" : 98500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Specialist, Training and Performance in Philadelphia, United States, adjusted for the insurance industry and company size." }, "location" : "Philadelphia, PA", "locations" : [ "Philadelphia, PA", "United States of America" ], "timestamp" : "2026-06-14T18:58:30.044", "fingerprint" : "f28a46b530a4a53aac06de713025089cd992a54cee5cfb8e7e95859590a2426d", "source" : "workday", "language" : "en", "applyUrl" : "https://pensions.wd501.myworkdayjobs.com/BOP/job/Philadelphia-PA/Specialist--Training-and-Performance_JR100049", "externalId" : "JR100049", "locationPoint" : "35.67952,-84.40381", "structuredLocations" : [ { "city" : "Philadelphia", "state" : "Pennsylvania", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "39.9527237,-75.1635262" } ], "locationText" : "Philadelphia, Pennsylvania, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "professionalSkills" : [ "Performance coaching", "Service excellence", "Subject matter expert", "Peer leadership", "Process improvement" ], "hardSkillsList" : [ "Training content development", "E-learning course development", "Call observation", "Casework analysis" ], "softSkillsList" : [ "Presentation skills", "Interpersonal communication skills" ], "hardSkills" : [ { "name" : "Training content development", "level" : "intermediate" }, { "name" : "E-learning course development", "level" : "intermediate" }, { "name" : "Call observation", "level" : "intermediate" }, { "name" : "Casework analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Presentation skills" }, { "name" : "Interpersonal communication skills" } ], "majorSkills" : "Training design, Performance coaching, Content development", "majorSkillsList" : [ "Training design", "Performance coaching", "Content development" ], "coreResponsibilities" : "Develop training content, Execute training content, Act as performance coach, Support role specific training, Support technical training, Identify training needs, Execute training needs, Identify coaching needs, Equip employees with knowledge, Equip employees with skills, Administer Benefits Plan, Communicate Benefits Plan, Promote Benefits Plan, Resolve service-related issues, Serve as subject matter expert, Ensure materials are current, Ensure materials are accurate, Perform live observation, Perform coaching of calls, Perform coaching of case work, Handle calls on 800-PRESPLAN, Facilitate one-on-one training, Facilitate small group training, Facilitate large group training, Facilitate one-on-one coaching, Facilitate small group coaching, Facilitate large group coaching, Develop individual performance training plans, Execute individual performance training plans, Maintain individual performance training plans, Design training content, Maintain library of e-learning courses, Maintain library of live learning content, Educate on Benefits Plan, Educate on administrative procedures, Educate on soft skills, Support scheduling of training, Support tracking of training, Support reporting of training, Support scheduling of coaching, Support tracking of coaching, Support reporting of coaching, Drive culture of continuous process improvement", "teamCollaboration" : "Training and Performance team; Quality Assurance team; Continuous Improvement team; People manager", "domainKnowledge" : "Benefits Plan administration", "domainList" : [ "benefits-plan-administration" ], "domainSpecificKnowledge" : [ "Benefits Plan administration" ], "toolProficiency" : [ "Microsoft Office", "Word", "PowerPoint", "Excel", "Outlook", "Salesforce Service Cloud" ], "communicationSkills" : "Verbal communication; Written communication; Presentation skills", "continuousLearning" : "Seminars; Industry literature; Formal training and development", "specialRequirements" : "Work on-site Tuesday through Thursday", "qualificationsBasic" : "3 or more years of experience in training and education, Proficient use of e-learning authoring platform, Proficient use of learning management systems, Proficient use of basic graphic design tools, Exceptional proficiency with Microsoft Office applications, Ability to work on-site", "qualificationsPreferred" : "Bachelor's degree in training or education related fields, Familiarity with benefits plans and administration, Familiarity with customer care technologies, Salesforce Service Cloud familiarity", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "**The role:** The Specialist is responsible for developing and executing training content for their assigned team; acting as the performance coach for assigned team members; and supporting role specific and technical training for Plan Operations department to ensure service excellence for members and employers. **What you will do:** * Collaborates with the Training and Performance team, Quality Assurance team, Continuous Improvement team, and the people manager of the assigned team to identify and execute training and coaching needs. * Ensures operations and service center employees are equipped with the knowledge and skills to successfully administer, communicate, promote, and resolve service-related issues of the Benefits Plan. * Serves as subject matter expert on assigned team related knowledge content and procedures and collaborate with Lead (Knowledge & Content) to ensure all materials are current and accurate. * Performs live observation and coaching of calls and case work, casework from assigned team queues, and handles calls on 800-PRESPLAN. * Provides effective peer leadership by facilitating one-on-one, small group, and on occasion, large group training and coaching opportunities, primarily for the assigned team function. * Develops, executes, and maintains individual performance training plans for each member of assigned team. * Serves as the primary training content designer, developing and maintaining a library of e-learning courses and live learning content to sustainably educate on the Benefits Plan, administrative procedures, soft skills for service excellence, and other service-related items as they pertain to the assigned team function. * Supports the scheduling, tracking, and reporting of training and coaching activities. * Drives a culture of continuous process improvement into service delivery at all levels. **What you need to succeed:** * Bachelor's degree, preferably in training or education related fields. * 3 or more years of experience in the field of training and education, with proficient use of e-learning authoring platform, learning management systems, and basic graphic design tools. * Exceptional proficiency with Microsoft Office applications, including Word, PowerPoint, Excel, and Outlook. * Familiarity with benefits plans and administration, preferred. * Exceptional track record in developing and delivering effective training, learning strategies, and initiatives. * High-energy, results-oriented self-starter with exceptional verbal, written, presentation, and interpersonal communication skills with experience delivering effective presentations, based on a clear understanding of the characteristics and needs of the audience. * Familiarity with customer care technologies, especially Salesforce Service Cloud. * The ability, interest, and desire to stay current via seminars, industry literature, and formal training and development. * Ability to work on-site at our 2000 Market Street, Philadelphia office Tuesday through Thursday of each week. **We offer a generous benefits package for eligible employees.** * Medical, dental, and vision coverage. * Defined benefit pension plan. * 403(b)(9) retirement savings plan. * Generous paid time off, including sick time, holidays, and 22 days of personal leave. * Tuition assistance. * Employee Assistance Plan and other health and well-being resources. * Employer-paid death benefits with opportunities to purchase additional coverage. * Employer-paid Short-Term and Long-Term disability coverage. * Access to the Board’s education and grant assistance programs. * Discount programs on entertainment, travel, and more. * Satisfaction gained from working for a service-oriented employer. * Volunteer and other service opportunities in the community at large. **Our recruiting process is simple.** If you’re interested in a role at the Board of Pensions, apply online at pensions.org. If your skills match an open position, one of our recruiters will set up a phone or Microsoft Teams interview to discuss your interests, background, and skills. They’ll also answer any questions you might have. If you are selected to continue with the recruitment process, you will meet the hiring manager and other relevant team members. To protect the health of our staff, we encourage everyone to receive FDA-approved vaccinations that may reduce the spread of certain infectious diseases, such as the flu and COVID-19. **We are an Equal Opportunity Employer.** The Board of Pensions of the Presbyterian Church (U.S.A.) is proud to be an equal opportunity employer We value diversity, equity, and inclusion and do not discriminate based on race; color; sex; national origin; age; pregnancy, childbirth, or a related medical condition; military/veteran status; marital/domestic partner status; physical or mental disability; medical condition; religion or religious affiliation, except where determined to be a bona fide occupational qualification; sexual orientation; gender; gender identity or expression; genetic information; ancestry; or any other category protected by applicable federal, state, or local law.", "summaryDescription" : "Specialist, Training and Performance at Board of Pensions. Skills: Training design, Performance coaching, Content development. Develop training content. Execute training content", "postedDate" : "2026-06-11T07:07:00.771", "createdAt" : "2026-06-12T07:07:00.676", "lastUpdated" : "2026-06-14T18:58:30.044", "ingestTimestamp" : "2026-06-12T07:07:00.676", "mongoId" : "6a2b1ef474d8ee00a07780cf", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://pensions.wd501.myworkdayjobs.com/BOP/job/Philadelphia-PA/Specialist--Training-and-Performance_JR100049", "salaryAnnualMin" : 72500, "salaryAnnualMax" : 98500, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Training content development", "E-learning course development", "Call observation", "Casework analysis", "Presentation skills", "Interpersonal communication skills", "Training design", "Performance coaching", "Content development", "Service excellence", "Subject matter expert", "Peer leadership", "Process improvement", "Benefits Plan administration", "Microsoft Office", "Word", "PowerPoint", "Excel", "Outlook", "Salesforce Service Cloud" ], "skillCount" : 20, "jobCategory" : "other", "seniorityLevel" : "mid", "dataQualityScore" : 1.0, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2a5d1174d8ee00a0617b45", "title" : "Product Builder, Performance Marketing Agents", "company" : "Gradial", "salary" : { "min" : 165000.0, "max" : 225000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Product Builder in Seattle, adjusted for the technology industry and company size." }, "location" : "Seattle, Washington, United States", "locations" : [ "Seattle", "Washington", "United States" ], "timestamp" : "2026-06-14T22:14:49.823", "fingerprint" : "85359aaf2691458d60f03d464dcbd59c4e57914676a7439601c0df7c06bae323", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/gradial/jobs/4277812009", "externalId" : "4277812009", "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI, Large language models, Agent architectures", "professionalSkills" : [ "Product strategy", "Roadmap planning", "User stories", "Customer outcomes", "Product lifecycle", "Product development", "Product launch", "Product improvement", "Customer value", "Speed to market", "Marketing performance" ], "hardSkillsList" : [ "Performance marketing", "ROAS", "CAC", "Conversion rate", "Attribution", "Campaign optimization" ], "hardSkills" : [ { "name" : "Performance marketing", "level" : "intermediate" }, { "name" : "ROAS", "level" : "intermediate" }, { "name" : "CAC", "level" : "intermediate" }, { "name" : "Conversion rate", "level" : "intermediate" }, { "name" : "Attribution", "level" : "intermediate" }, { "name" : "Campaign optimization", "level" : "intermediate" } ], "majorSkills" : "AI agents, Performance marketing, Product management", "majorSkillsList" : [ "AI agents", "Performance marketing", "Product management" ], "coreResponsibilities" : "Build AI-powered agents, Help marketing teams plan programs, Help marketing teams execute programs, Help marketing teams optimize programs, Help marketing teams analyze programs, Lead product development, Define problems, Launch products, Iterate on products, Work with enterprise customers, Work with agency partners, Understand workflows, Validate concepts, Uncover opportunities, Prototype new experiences, Make scope decisions, Make prioritization decisions, Maximize customer value, Maximize speed to market, Translate prototypes, Create scalable products, Define product success, Measure product success, Evaluate AI capabilities, Identify opportunities, Create differentiated experiences", "teamCollaboration" : "Cross-functional teams; Engineering teams; Design teams; AI teams; Go-to-market teams; Customer-facing teams", "projectManagementSkills" : [ "Product lifecycle management", "Roadmap", "Prioritization" ], "domainKnowledge" : "Performance marketing; AI-native products; Content operations; AI systems; Large language models; Agent architectures; MarTech platforms; Workflow automation; Autonomous systems", "domainList" : [ "performance-marketing", "ai-native-products", "content-operations", "ai-systems", "large-language-models", "agent-architectures", "martech-platforms", "workflow-automation", "autonomous-systems" ], "domainSpecificKnowledge" : [ "Performance marketing", "AI-native products", "Content operations", "AI systems", "Large language models", "Agent architectures", "MarTech platforms", "Workflow automation", "Autonomous systems" ], "toolProficiency" : [ "AI tools", "Coding assistants" ], "communicationSkills" : "Influence stakeholders", "innovationCreativity" : "Prototype development", "problemSolvingSkills" : "Solve hard problems", "outcomesObjectives" : "Achieve more with less effort; Maximize customer value; Maximize speed to market; Drive product adoption; Achieve business outcomes; Improve marketing performance", "qualificationsBasic" : "5+ years experience building software products, Understanding of modern AI systems, Understanding of large language models, Understanding of agent architectures, Experience developing AI products, Experience deploying AI products, Experience improving AI products, Experience in ambiguous environments, Ability to prototype ideas independently, Product judgment, Experience working with engineering teams, Curiosity about customer behavior, Bias toward learning through experimentation, Excellent communication skills, Ability to influence stakeholders", "qualificationsPreferred" : "Experience building products for marketers, Experience building products for marketing operations, Experience building products for agencies, Experience building MarTech platforms, Familiarity with performance marketing metrics, Experience with AI-powered workflow automation, Experience with agent platforms, Experience with autonomous systems", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Gradial helps marketers and creatives move from idea to execution faster. Our platform turns intent into action, automating website updates, design system migrations, and ongoing content optimization while preserving brand integrity across every touchpoint. Backed by leading investors, we’re building software that adapts to the user, not the other way around. We move with urgency, operate with ownership, and solve hard problems from first principles. If you want to do ambitious work, take real responsibility, and help define the future of AI-native content operations, you’ll do your best work here. The Role We’re looking for a Product Builder to create the next generation of AI agents for performance marketing. You’ll work at the intersection of product, AI, and customer outcomes, turning emerging capabilities into products that marketers rely on every day. This is a hands-on role for someone who loves building, validating ideas with customers, and rapidly iterating based on real-world results. You’ll own the full product lifecycle from identifying opportunities and shaping solutions to launching products and continuously improving them. You’ll partner closely with engineering, design, AI teams, customers, and go-to-market stakeholders to define a new category of software that helps marketing teams achieve more with less effort. What You’ll Own Build AI-powered agents that help marketing teams plan, execute, optimize, and analyze performance marketing programs. Lead product development from problem definition through launch and ongoing iteration. Work directly with enterprise customers and agency partners to understand workflows, validate concepts, and uncover new opportunities. Prototype new experiences using modern AI tools and coding assistants to accelerate learning and product development. Make thoughtful scope and prioritization decisions that maximize customer value and speed to market. Partner with engineering and AI teams to translate prototypes into scalable products. Define and measure product success through customer adoption, business outcomes, and marketing performance improvements. Collaborate across product, engineering, design, GTM, and customer-facing teams to bring new capabilities to market. Continuously evaluate emerging AI capabilities and identify opportunities to create differentiated customer experiences. What We Need 5+ years of experience building and launching software products in product management, product leadership, product engineering, or similar builder-focused roles. Strong understanding of modern AI systems, large language models, agent architectures, and how AI products are developed, deployed, and improved over time. Demonstrated ability to take products from concept to launch and drive ongoing improvement after release. Experience working in highly ambiguous environments where priorities and requirements evolve quickly. Ability to prototype ideas independently using AI-powered development tools, low-code platforms, or lightweight technical workflows. Strong product judgment with a track record of making effective tradeoffs around scope, timing, and customer value. Experience working closely with engineering teams to deliver high-quality products. Deep curiosity about customer behavior and a bias toward learning through experimentation. Excellent communication skills and the ability to influence stakeholders across technical and non-technical teams. Excitement for helping define an entirely new category of AI-native products. Nice to Have Experience building products for marketers, marketing operations teams, agencies, or MarTech platforms. Familiarity with performance marketing metrics such as ROAS, CAC, conversion rate, attribution, and campaign optimization. Experience working with AI-powered workflow automation, agent platforms, or autonomous systems. Compensation The base salary range for this position is $150,000 – $220,000. Final compensation will be determined based on factors such as experience, skills, and qualifications. In addition to base salary, this role will be eligible for performance-based bonuses and equity awards. Gradial offers a comprehensive benefits package, including medical, dental where building is always better than maintaining the status quo. What we offer Meaningful equity and competitive salary Comprehensive health, dental and vision coverage Fast-paced environment with autonomy and ownership Real impact, zero bureaucracy A front-row seat to building category-defining AI infrastructure AI Literacy & Interviewing Tools As an AI-first company, we prioritize AI literacy as a core competency in our hiring decisions. We’re excited by candidates who thoughtfully apply AI tools in their work, but during interviews we’re focused on you. This is your opportunity to show how you think, communicate, and solve problems. Over-reliance on AI-generated responses during the interview process (especially when it obscures your own voice) will result in disqualification. We want to understand your unique perspective and how you approach challenges, both with and without AI. Privacy Policy By submitting your application to Gradial, you acknowledge that any personal data you provide will be processed in accordance with our Privacy Policy. This includes the collection, use, and storage of your information for the purposes of evaluating your qualifications and communicating with you about your candidacy. We handle applicant data with care and in compliance with applicable data protection laws. If you have any questions about how your information is used, please refer to our Privacy Policy or contact us directly. Applicants who require reasonable accommodation to participate in the application or interview process should contact us at careers@gradial.com to request assistance.", "summaryDescription" : "Product Builder, Performance Marketing Agents at Gradial. Skills: AI agents, Performance marketing, Product management. Build AI-powered agents. Help marketing teams plan programs", "postedDate" : "2026-06-11T20:28:33.801", "createdAt" : "2026-06-11T20:28:33.801", "lastUpdated" : "2026-06-14T22:14:49.823", "ingestTimestamp" : "2026-06-11T20:28:33.801", "mongoId" : "6a2a5d1174d8ee00a0617b45", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 165000, "salaryAnnualMax" : 225000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Performance marketing", "ROAS", "CAC", "Conversion rate", "Attribution", "Campaign optimization", "AI agents", "Product management", "Product strategy", "Roadmap planning", "User stories", "Customer outcomes", "Product lifecycle", "Product development", "Product launch", "Product improvement", "Customer value", "Speed to market", "Marketing performance", "Product lifecycle management", "Roadmap", "Prioritization", "AI-native products", "Content operations", "AI systems", "Large language models", "Agent architectures", "MarTech platforms", "Workflow automation", "Autonomous systems", "AI tools", "Coding assistants" ], "skillCount" : 32, "jobCategory" : "product", "jobSubcategory" : "product", "dataQualityScore" : 0.8888889, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2c64ca74d8ee00a08fbd82", "title" : "Performance Measurement and Evaluation Intern", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on market data for an entry-level intern position in Long Island City, United States, with adjustments for industry and seniority." }, "location" : "Long Island City, NY", "locations" : [ "Long Island City, NY" ], "timestamp" : "2026-06-15T08:23:11.094", "fingerprint" : "a606163a290a0313632e38fa9d0ce3b7cd04f125e27888ad2ffad23240eda384", "source" : "jazzhr", "language" : "en", "externalId" : "kJZjnqD64H", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Long Island City", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7455316,-73.9484995" } ], "locationText" : "Long Island City, New York, United States", "employmentType" : "INTERNSHIP", "workSiteFlexibility" : "Onsite", "summaryDescription" : "Performance Measurement and Evaluation Intern", "createdAt" : "2026-06-14T00:10:08.150", "lastUpdated" : "2026-06-15T08:23:11.094", "ingestTimestamp" : "2026-06-14T00:10:08.150", "mongoId" : "6a2c64ca74d8ee00a08fbd82", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 45000, "salaryAnnualMax" : 65000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.44444445, "hasLocation" : true, "hasGeo" : true, "llmIndustryConfidence" : 0.85 }, { "id" : "6a2c5f0a74d8ee00a08e884e", "title" : "Insights Manager", "company" : "Inizio Engage XD", "industry" : "Healthcare", "salary" : { "min" : 60000.0, "max" : 85000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Insights Manager in the UK healthcare industry, adjusted for manager seniority and the Emota location." }, "location" : "Emota - UK", "locations" : [ "Emota - UK" ], "timestamp" : "2026-06-15T00:38:19.763", "fingerprint" : "24153e43dc0f881b152b6d807900a2003d06fe81ba080408952dd9bddab3c96f", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/xdinizioengage/jobs/7979721", "externalId" : "7979721", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Emota", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "54.7023545,-3.2765753" } ], "locationText" : "Emota, United Kingdom", "experienceLevel" : "Manager", "professionalSkills" : [ "Market research", "Insight generation", "Data analytics" ], "hardSkillsList" : [ "Qualitative research", "Quantitative research", "Primary research" ], "hardSkills" : [ { "name" : "Qualitative research", "level" : "intermediate" }, { "name" : "Quantitative research", "level" : "intermediate" }, { "name" : "Primary research", "level" : "intermediate" } ], "majorSkills" : "Market research, Insight generation, Client relationships", "majorSkillsList" : [ "Market research", "Insight generation", "Client relationships" ], "coreResponsibilities" : "Lead congress metrics delivery, Partner with production teams, Prepare systems for stand measurement, Analyse data, Present insights and recommendations, Contribute to research projects, Contribute to insight projects, Introduce methodologies, Support primary research with HCPs, Support primary research with patients, Support primary research with other audiences, Derive relevant insights for clients, Derive relevant insights for brands, Support pitch development, Communicate value proposition, Communicate tailored project approaches, Translate primary research data, Create insight-driven reports, Create insight-driven outputs, Promote excellence across research execution, Encourage collaboration, Encourage high-quality outcomes, Manage project timelines, Manage project budgets, Coordinate client workstreams, Coordinate agency workstreams, Ensure delivery against milestones, Build client relationships, Deliver business insights, Create thought leadership content", "teamCollaboration" : "Collaborative environment; Partnering with production teams; Liaison with clients", "projectManagementSkills" : [ "Project management", "Timeline management", "Budget management" ], "domainKnowledge" : "Healthcare market research; Pharmaceutical business; HCP insights; Patient insights; Product launches; Branding", "domainList" : [ "healthcare-market-research", "pharmaceutical-business", "hcp-insights", "patient-insights", "product-launches", "branding" ], "domainSpecificKnowledge" : [ "Healthcare market research", "Pharmaceutical business", "HCP insights", "Patient insights", "Product launches", "Branding" ], "communicationSkills" : "Tailored communication styles; Thought leadership content", "documentationSkills" : "Insight-driven reports", "problemSolvingSkills" : "Data analysis", "specialRequirements" : "Travel to European Congresses", "qualificationsBasic" : "Healthcare market research agency experience, 6 months Research/Insights manager experience, Qualitative and quantitative experience (80/20), Experience translating data into outputs, Experience moderating interviews, Experience moderating focus groups, Experience working with clients, Experience managing projects through delivery, Experience working with multiple projects, Experience working to tight deadlines, Understanding of healthcare codes, Understanding of research codes, Understanding of compliance activity", "qualificationsPreferred" : "AI tools comfort", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "We're looking for an Insights Manager to join our established qualitative market research team. We are a small, qualitatively focused team providing HCP and patient insights for all types of pharmaceutical business from biotechs to global pharmaceutical brands. Our work focuses on research around product launches and branding, spanning more traditional HCP-focused market research projects through to partnerships with our broader agencies. You will work closely with our healthcare clients to help their teams turn data into insights and understand its impact on their business. You will have experience building client relationships, working in a collaborative environment with interest in primary qualitative healthcare market research, data analytics and insight generation. Alongside helping to grow the research and insight capability across the group, a key component of this role is managing the administration and delivery of audience metrics practice for Congress stands, using our Congress Measurement Metrics tool and approach, which will involve some travel to European Congresses and liaison with clients. This is a hybrid role (2 days in the office). Your role will involve some travel to European Congresses and liaison with clients. You will report into the Associate Insights Director What you'll do... Lead the delivery of congress metrics, partnering with production teams to prepare systems for stand measurement, analysing data, and presenting insights and recommendations to clients. Contribute to research and insight projects, including introducing methodologies, supporting primary research with HCPs, patients and other audiences, and deriving relevant insights for clients and brands. Support pitch development through clear slides that communicate our value proposition and tailored project approaches. Translate primary research data into compelling, insight-driven reports and outputs. Promote excellence across research execution, from brief to delivery, encouraging collaboration and high-quality outcomes. Manage projects including timelines, budgets, and coordination of client and agency workstreams to ensure delivery against milestones. Build client relationships through questioning and tailored communication styles. Deliver business insights through thought leadership content, including white papers, articles, and social media. What do you need to have... Experience working in a healthcare market research agency experience with at least 6 months in the role of Research/Insights manager, or equivalent Qualitative and quantitative experience (80/20) Experience translating data and evidence into insightful and engaging outputs Experience moderating interviews and focus groups Experience working with clients and managing projects through delivery Experience working with multiple projects and to tight deadlines Some understanding of healthcare and research codes and compliance activity/behaviours. Be comfortable working with AI tools. Just a few of our benefits... Competitive salary 25 days' annual leave plus public holidays, company closure over Christmas plus a personal day 3 days volunteering leave Private Medical Insurance Life Insurance Pension Scheme Hybrid working Group Income Protection A bit about us... Engage XD is an unusually shaped communications group that creates experiences that inspire lasting change. We partner with clients to provide employee engagement, learning and training solutions, scientific engagement and capability building, all underpinned by applied behavioural science. We engage internal and external audiences through the creation and delivery of live and virtual experiences, film, digital, and immersive content. Our family of brands is made up of: Emota, Forty1 and Nazarѐ. We believe in our values: We empower everyone | We rise to the challenge | We work as one | We ask what if | We do the right thing and we will ask you how your personal values align to our values #LIML This is a hybrid remote/in-office role. Don't meet every job requirement? That's okay! We are dedicated to building a diverse, inclusive, and authentic workplace. If you're excited about this role, but your experience doesn't perfectly fit every qualification, we encourage you to apply anyway. You may be just the right person for this role or others.", "summaryDescription" : "Insights Manager at Inizio Engage XD. Skills: Market research, Insight generation, Client relationships. Lead congress metrics delivery. Partner with production teams", "postedDate" : "2026-06-12T22:06:29.270", "createdAt" : "2026-06-12T22:06:29.270", "lastUpdated" : "2026-06-15T00:38:19.763", "ingestTimestamp" : "2026-06-12T22:06:29.270", "mongoId" : "6a2c5f0a74d8ee00a08e884e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Qualitative research", "Quantitative research", "Primary research", "Market research", "Insight generation", "Client relationships", "Data analytics", "Project management", "Timeline management", "Budget management", "Healthcare market research", "Pharmaceutical business", "HCP insights", "Patient insights", "Product launches", "Branding" ], "skillCount" : 16, "jobCategory" : "other", "jobSubcategory" : "research", "dataQualityScore" : 0.8888889, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare" }, { "id" : "6a2a740974d8ee00a0652598", "title" : "Senior Machine Learning Engineer, Search & Recommendations", "company" : "Instacart", "industry" : "Grocery Technology", "salary" : { "min" : 180000.0, "max" : 190000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "San Francisco, CA, United States", "locations" : [ "San Francisco", "CA", "United States" ], "timestamp" : "2026-06-13T21:53:16.949", "fingerprint" : "6302101d046b2ed53bdf6f83aa0e0b994e0deed206e725da01c9424415f53cd9", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://instacart.careers/job/?gh_jid=7996528", "externalId" : "7996528", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, SQL, Pandas, XGBoost, TensorFlow, PyTorch, LLMs", "professionalSkills" : [ "Analytical skills", "Cross-functional communication" ], "hardSkillsList" : [ "Machine learning", "Deep learning", "Data fluency", "Ranking services", "Feature stores", "Vector retrieval", "Lexical retrieval", "Constraint-aware inference" ], "hardSkills" : [ { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Deep learning", "level" : "intermediate" }, { "name" : "Data fluency", "level" : "intermediate" }, { "name" : "Ranking services", "level" : "intermediate" }, { "name" : "Feature stores", "level" : "intermediate" }, { "name" : "Vector retrieval", "level" : "intermediate" }, { "name" : "Lexical retrieval", "level" : "intermediate" }, { "name" : "Constraint-aware inference", "level" : "intermediate" } ], "majorSkills" : "Machine Learning, Deep Learning, Search, Recommendations", "majorSkillsList" : [ "Machine Learning", "Deep Learning", "Search", "Recommendations" ], "coreResponsibilities" : "Develop search experience, Develop attribution beyond CTR", "teamCollaboration" : "Cross-functional teams", "domainKnowledge" : "Grocery industry; Online testing; Attribution; Low-latency ranking; Feature stores; Vector retrieval; Lexical retrieval; Constraint-aware inference; LLMs as feature enhancers", "domainList" : [ "grocery-industry", "online-testing", "attribution", "low-latency-ranking", "feature-stores", "vector-retrieval", "lexical-retrieval", "constraint-aware-inference", "llms-as-feature-enhancers" ], "domainSpecificKnowledge" : [ "Grocery industry", "Online testing", "Attribution", "Low-latency ranking", "Feature stores", "Vector retrieval", "Lexical retrieval", "Constraint-aware inference", "LLMs as feature enhancers" ], "communicationSkills" : "Cross-functional communication", "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "5+ years Python, Data fluency (SQL/Pandas), Expertise in classic ML techniques, Expertise in deep learning frameworks", "qualificationsPreferred" : "Expertise in multi-task learning architectures, Expertise in calibration, Expertise in counterfactual evaluation, Expertise in uplift/causal modeling, Expertise in contextual bandits, Experience building low-latency ranking services, Experience with feature stores, Experience with caching, Experience with vector retrieval, Experience with lexical retrieval, Experience with re-ranking, Experience with A/B testing infrastructure, Expertise in constraint-aware inference, Hands-on experience with LLMs, Experience with adapter tuning", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Overview The Search experience with online testing and attribution beyond CTR. Strong coding (Python) and data fluency (SQL/Pandas), with expertise in classic ML techniques (e.g., XGBoost) and deep learning frameworks (TensorFlow/PyTorch). Excellent analytical skills and strong cross-functional communication abilities. Preferred Qualifications Expertise in multi-task learning architectures (e.g., MMOE/PLE, shared encoders), calibration, counterfactual evaluation, uplift/causal modeling, and/or contextual bandits for exploration. Experience building low-latency ranking services, including feature stores, caching, vector + lexical retrieval, re-ranking, and A/B testing infrastructure, with expertise in constraint-aware inference. Hands-on experience with LLMs as feature/recall enhancers (e.g., embeddings, adapter tuning) while maintaining clarity on when the ranker should arbitrate. Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here. Currently, we are only hiring in the following provinces: Ontario, Alberta, British Columbia, and Nova Scotia. Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here. For Canadian based candidates, the base pay ranges for a successful candidate are listed below. CAN $180,000—$190,000 CAD", "summaryDescription" : "Senior Machine Learning Engineer, Search & Recommendations at Instacart. Skills: Machine Learning, Deep Learning, Search, Recommendations. Develop search experience. Develop attribution beyond CTR", "postedDate" : "2026-06-11T21:09:08.551", "createdAt" : "2026-06-11T21:09:08.551", "lastUpdated" : "2026-06-13T21:53:16.949", "ingestTimestamp" : "2026-06-11T21:09:08.551", "mongoId" : "6a2a740974d8ee00a0652598", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Machine learning", "Deep learning", "Data fluency", "Ranking services", "Feature stores", "Vector retrieval", "Lexical retrieval", "Constraint-aware inference", "Machine Learning", "Deep Learning", "Search", "Recommendations", "Analytical skills", "Cross-functional communication", "Grocery industry", "Online testing", "Attribution", "Low-latency ranking", "LLMs as feature enhancers" ], "skillCount" : 19, "jobCategory" : "other", "jobSubcategory" : "machine-learning", "dataQualityScore" : 0.8888889, "daysOld" : 2, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Grocery Technology" }, { "id" : "6a2a6cf674d8ee00a0640e40", "title" : "Manager, Shopper and Category Insights", "company" : "Abbott", "industry" : "Healthcare", "salary" : { "min" : 99300.0, "max" : 198700.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "United States of America", "locations" : [ "United States of America" ], "timestamp" : "2026-06-13T10:06:54.499", "fingerprint" : "29cf85410b6e3eb746d245adc7437a93706fe69a65bf67f5e1c275cc97f44098", "source" : "workday", "language" : "en", "applyUrl" : "https://abbott.wd5.myworkdayjobs.com/abbottcareers2/job/United-States---Ohio---Columbus/Manager--Shopper-and-Category-Insights---Columbus--OH_31152807", "externalId" : "31152807", "industryFunction" : { }, "locationPoint" : "51.43667,5.97917", "structuredLocations" : [ { "city" : "Columbus", "state" : "Ohio", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "39.9622601,-83.0007065" } ], "locationText" : "Columbus, Ohio, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "Nielsen, Circana, Numerator, Scintilla, Stratum, Luminate", "professionalSkills" : [ "Category insights", "Shopper insights", "Business strategies", "Growth strategies", "Retail execution", "Shopper behavior", "Data analysis", "Business reviews", "Selling stories" ], "hardSkillsList" : [ "Syndicated data analysis", "Qualitative analysis", "Quantitative analysis", "Data synthesis", "Actionable recommendations" ], "softSkillsList" : [ "Solution oriented", "Storytelling skills", "Influence stakeholders" ], "hardSkills" : [ { "name" : "Syndicated data analysis", "level" : "intermediate" }, { "name" : "Qualitative analysis", "level" : "intermediate" }, { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Data synthesis", "level" : "intermediate" }, { "name" : "Actionable recommendations", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Solution oriented" }, { "name" : "Storytelling skills" }, { "name" : "Influence stakeholders" } ], "majorSkills" : "Shopper insights, Category insights, Data analysis, Growth strategies", "majorSkillsList" : [ "Shopper insights", "Category insights", "Data analysis", "Growth strategies" ], "coreResponsibilities" : "Design shopper learning plans, Execute shopper learning plans, Design category learning plans, Execute category learning plans, Translate insights into recommendations, Pull syndicated data, Synthesize syndicated data, Analyze syndicated data, Develop points of view, Deliver presentations, Communicate insights to teams, Distill results to learning, Enable rapid decisions, Lead ad-hoc analyses, Support business priorities, Monitor category performance, Report category performance, Conduct business reviews, Identify growth opportunities, Identify potential risks, Apply insights to selling stories, Develop sell-in presentations, Address retailer questions, Address competitive dynamics", "teamCollaboration" : "Partner with Sales; Partner with Category Management; Partner with Brand teams; Work alongside teammates", "domainKnowledge" : "Pediatric nutrition; Retail execution; Shopper behavior; Syndicated data; Consumer-packaged goods; Retailer industry", "domainList" : [ "pediatric-nutrition", "retail-execution", "shopper-behavior", "syndicated-data", "consumer-packaged-goods", "retailer-industry" ], "domainSpecificKnowledge" : [ "Pediatric nutrition", "Retail execution", "Shopper behavior", "Syndicated data", "Consumer-packaged goods", "Retailer industry" ], "toolProficiency" : [ "Nielsen", "Circana", "Numerator", "Scintilla", "Stratum", "Luminate" ], "communicationSkills" : "Visually compelling presentations; Actionable recommendations", "problemSolvingSkills" : "Data-driven decision making", "specialRequirements" : "4 days in office, Occasional travel, 5% travel", "outcomesObjectives" : "Drive business decisions; Shape growth strategies; Identify growth opportunities", "qualificationsBasic" : "5+ years analyzing data, Consumer-packaged goods experience, Retailer industry experience, Proficient Nielsen/IRI, Proficient Numerator, Proficient Stratum, Proficient Luminate", "qualificationsPreferred" : "Coaching from Sr. Manager", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 115,000 colleagues serve people in more than 160 countries. ## **JOB DESCRIPTION:** **About Abbott** Abbott is a global healthcare leader, creating breakthrough science to improve people’s health. We’re always looking towards the future, anticipating changes in medical science and technology. **Working at Abbott** At Abbott, you can do work that matters, grow, and learn, care for yourself and family, be your true self and live a full life. You’ll also have access to: * Career development with an international company where you can grow the career you dream of. * Free medical coverage for employees* via the Health Investment Plan (HIP) PPO * An excellent retirement savings plan with high employer contribution * A company recognized as a great place to work in dozens of countries around the world and named one of the most admired companies in the world by Fortune. * A company that is recognized as one of the best big companies to work for as well as a best place to work for diversity, working mothers, female executives, and scientists. **The Opportunity** We are seeking a highly analytical, business-minded **Shopper & Category Insights Manager** to drive data-led decision making and shape growth strategies across our pediatric nutrition business, with a strong focus on retail execution and shopper behavior across key customers. This role goes beyond reporting—you will **translate syndicated, shopper, and retail insights into clear business strategies** , influence cross-functional decisions, and proactively identify opportunities for category and brand growth. You will partner closely with Sales, Category Management, and Brand teams to turn data into action **What You’ll Do** In this role, you will have several distinct responsibilities and priorities: * Design and execute shopper & category learning plans (qualitative and quantitative), with coaching from the Sr. Manager. Translate insights into clear, actionable recommendations that drive business decisions - not just summaries of results. * Pull, synthesize, and analyze syndicated data sources (e.g., Nielsen, Circana, Numerator, Scintilla) to uncover key trends and develop clear points of view, delivered through visually compelling presentations. * Effectively communicate insights from all work to internal teams by distilling results to essential learning and actionable recommendations that enable rapid decisions. * Lead ad-hoc analyses and projects in support of team and business priorities. * Monitor and report category performance, conducting regular business reviews to identify growth opportunities and potential risks. * Apply shopper and category insights to selling stories, developing presentations that support sell-in initiatives and address retailer questions and competitive dynamics **Required Qualifications** * 5+ years’ experience in analyzing and interpreting data within either consumer-packaged goods or retailer industry. * A team player – solution oriented, thrives working alongside teammates toward common business goals. * Demonstrated storytelling skills and ability to influence stakeholders across the organization. * A self-starter, able to work independently and build connections with key stakeholders on projects * Proficient level knowledge of syndicated data source(s): Nielsen/ IRI, Numerator, Stratum, Luminate **Working Environment** Location: Columbus, OH Hybrid style: (4 days in the office, 1 day remote) Occasional travel for industry conferences and sales meetings (2x a year) **Learn more about our health and wellness benefits, which provide the security to help you and your family live full lives:**[www.abbottbenefits.com](http://www.abbottbenefits.com/pages/candidate.aspx) Follow your career aspirations to Abbott for diverse opportunities with a company that can help you build your future and live your best life. Abbott is an Equal Opportunity Employer, committed to employee diversity. Connect with us at [www.abbott.com](http://www.abbott.com/), on Facebook at [www.facebook.com/Abbott](http://www.facebook.com/Abbott) and on Twitter @AbbottNews and @AbbottGlobal. **The base pay for this position is** $99,300.00 – $198,700.00 In specific locations, the pay range may vary from the range posted. ## **JOB FAMILY:** Market Development and Research ## **DIVISION:** ANPD Nutrition Products ## **LOCATION:** United States > Columbus : RP03 ## **ADDITIONAL LOCATIONS:** ## **WORK SHIFT:** Standard ## **TRAVEL:** Yes, 5 % of the Time ## **MEDICAL SURVEILLANCE:** No ## **SIGNIFICANT WORK ACTIVITIES:** Keyboard use (greater or equal to 50% of the workday) Abbott is an Equal Opportunity Employer of Minorities/Women/Individuals with Disabilities/Protected Veterans. EEO is the Law link - English: http://webstorage.abbott.com/common/External/EEO_English.pdf EEO is the Law link - Espanol: http://webstorage.abbott.com/common/External/EEO_Spanish.pdf", "summaryDescription" : "Manager, Shopper and Category Insights at Abbott. Skills: Shopper insights, Category insights, Data analysis, Growth strategies. Design shopper learning plans. Execute shopper learning plans", "postedDate" : "2026-06-10T16:09:38.642", "createdAt" : "2026-06-11T16:09:38.495", "lastUpdated" : "2026-06-13T10:06:54.499", "ingestTimestamp" : "2026-06-11T16:09:38.495", "mongoId" : "6a2a6cf674d8ee00a0640e40", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://abbott.wd5.myworkdayjobs.com/abbottcareers2/job/United-States---Ohio---Columbus/Manager--Shopper-and-Category-Insights---Columbus--OH_31152807", "salaryAnnualMin" : 99300, "salaryAnnualMax" : 198700, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Syndicated data analysis", "Qualitative analysis", "Quantitative analysis", "Data synthesis", "Actionable recommendations", "Solution oriented", "Storytelling skills", "Influence stakeholders", "Shopper insights", "Category insights", "Data analysis", "Growth strategies", "Business strategies", "Retail execution", "Shopper behavior", "Business reviews", "Selling stories", "Pediatric nutrition", "Syndicated data", "Consumer-packaged goods", "Retailer industry", "Nielsen", "Circana", "Numerator", "Scintilla", "Stratum", "Luminate" ], "skillCount" : 27, "jobCategory" : "other", "seniorityLevel" : "manager", "dataQualityScore" : 1.0, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare" }, { "id" : "6a2a612774d8ee00a06213ef", "title" : "Manager, Shopper and Category Insights", "company" : "Abbott", "industry" : "Healthcare", "salary" : { "min" : 99300.0, "max" : 198700.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "United States of America", "locations" : [ "United States of America" ], "timestamp" : "2026-06-13T05:08:39.903", "fingerprint" : "8669419035429ac224695aad66783e5c09170da8699ee5835fe0a5513d88be85", "source" : "workday", "language" : "en", "applyUrl" : "https://abbott.wd5.myworkdayjobs.com/abbottcareers/job/United-States---Ohio---Columbus/Manager--Shopper-and-Category-Insights---Columbus--OH_31152807-1", "externalId" : "31152807", "industryFunction" : { }, "locationPoint" : "51.43667,5.97917", "structuredLocations" : [ { "city" : "Columbus", "state" : "Ohio", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "39.9622601,-83.0007065" } ], "locationText" : "Columbus, Ohio, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "Nielsen, Circana, Numerator, Scintilla, Stratum, Luminate", "professionalSkills" : [ "Category insights", "Shopper insights", "Business strategies", "Growth strategies", "Retail execution", "Shopper behavior", "Data analysis", "Business reviews", "Selling stories" ], "hardSkillsList" : [ "Syndicated data analysis", "Qualitative analysis", "Quantitative analysis", "Data synthesis", "Actionable recommendations" ], "softSkillsList" : [ "Solution oriented", "Storytelling skills", "Influence stakeholders" ], "hardSkills" : [ { "name" : "Syndicated data analysis", "level" : "intermediate" }, { "name" : "Qualitative analysis", "level" : "intermediate" }, { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Data synthesis", "level" : "intermediate" }, { "name" : "Actionable recommendations", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Solution oriented" }, { "name" : "Storytelling skills" }, { "name" : "Influence stakeholders" } ], "majorSkills" : "Shopper insights, Category insights, Data analysis, Growth strategies", "majorSkillsList" : [ "Shopper insights", "Category insights", "Data analysis", "Growth strategies" ], "coreResponsibilities" : "Design shopper learning plans, Execute shopper learning plans, Design category learning plans, Execute category learning plans, Translate insights into recommendations, Pull syndicated data, Synthesize syndicated data, Analyze syndicated data, Develop points of view, Deliver presentations, Communicate insights to teams, Distill results to learning, Enable rapid decisions, Lead ad-hoc analyses, Lead projects, Monitor category performance, Report category performance, Conduct business reviews, Identify growth opportunities, Identify potential risks, Apply insights to selling stories, Develop sell-in presentations, Address retailer questions, Address competitive dynamics", "teamCollaboration" : "Partner with Sales; Partner with Category Management; Partner with Brand teams; Work alongside teammates", "domainKnowledge" : "Pediatric nutrition; Retail execution; Shopper behavior; Syndicated data; Consumer-packaged goods; Retailer industry", "domainList" : [ "pediatric-nutrition", "retail-execution", "shopper-behavior", "syndicated-data", "consumer-packaged-goods", "retailer-industry" ], "domainSpecificKnowledge" : [ "Pediatric nutrition", "Retail execution", "Shopper behavior", "Syndicated data", "Consumer-packaged goods", "Retailer industry" ], "toolProficiency" : [ "Nielsen", "Circana", "Numerator", "Scintilla", "Stratum", "Luminate" ], "communicationSkills" : "Visually compelling presentations; Actionable recommendations", "problemSolvingSkills" : "Data-driven decision making", "specialRequirements" : "Occasional travel, 4 days in office", "outcomesObjectives" : "Drive business decisions; Shape growth strategies; Identify growth opportunities", "qualificationsBasic" : "5+ years analyzing data, Consumer-packaged goods experience, Retailer industry experience, Proficient Nielsen/IRI, Proficient Numerator, Proficient Stratum, Proficient Luminate", "qualificationsPreferred" : "Coaching from Sr. Manager", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 115,000 colleagues serve people in more than 160 countries. ## **JOB DESCRIPTION:** **About Abbott** Abbott is a global healthcare leader, creating breakthrough science to improve people’s health. We’re always looking towards the future, anticipating changes in medical science and technology. **Working at Abbott** At Abbott, you can do work that matters, grow, and learn, care for yourself and family, be your true self and live a full life. You’ll also have access to: * Career development with an international company where you can grow the career you dream of. * Free medical coverage for employees* via the Health Investment Plan (HIP) PPO * An excellent retirement savings plan with high employer contribution * A company recognized as a great place to work in dozens of countries around the world and named one of the most admired companies in the world by Fortune. * A company that is recognized as one of the best big companies to work for as well as a best place to work for diversity, working mothers, female executives, and scientists. **The Opportunity** We are seeking a highly analytical, business-minded **Shopper & Category Insights Manager** to drive data-led decision making and shape growth strategies across our pediatric nutrition business, with a strong focus on retail execution and shopper behavior across key customers. This role goes beyond reporting—you will **translate syndicated, shopper, and retail insights into clear business strategies** , influence cross-functional decisions, and proactively identify opportunities for category and brand growth. You will partner closely with Sales, Category Management, and Brand teams to turn data into action **What You’ll Do** In this role, you will have several distinct responsibilities and priorities: * Design and execute shopper & category learning plans (qualitative and quantitative), with coaching from the Sr. Manager. Translate insights into clear, actionable recommendations that drive business decisions - not just summaries of results. * Pull, synthesize, and analyze syndicated data sources (e.g., Nielsen, Circana, Numerator, Scintilla) to uncover key trends and develop clear points of view, delivered through visually compelling presentations. * Effectively communicate insights from all work to internal teams by distilling results to essential learning and actionable recommendations that enable rapid decisions. * Lead ad-hoc analyses and projects in support of team and business priorities. * Monitor and report category performance, conducting regular business reviews to identify growth opportunities and potential risks. * Apply shopper and category insights to selling stories, developing presentations that support sell-in initiatives and address retailer questions and competitive dynamics **Required Qualifications** * 5+ years’ experience in analyzing and interpreting data within either consumer-packaged goods or retailer industry. * A team player – solution oriented, thrives working alongside teammates toward common business goals. * Demonstrated storytelling skills and ability to influence stakeholders across the organization. * A self-starter, able to work independently and build connections with key stakeholders on projects * Proficient level knowledge of syndicated data source(s): Nielsen/ IRI, Numerator, Stratum, Luminate **Working Environment** Location: Columbus, OH Hybrid style: (4 days in the office, 1 day remote) Occasional travel for industry conferences and sales meetings (2x a year) **Learn more about our health and wellness benefits, which provide the security to help you and your family live full lives:**[www.abbottbenefits.com](http://www.abbottbenefits.com/pages/candidate.aspx) Follow your career aspirations to Abbott for diverse opportunities with a company that can help you build your future and live your best life. Abbott is an Equal Opportunity Employer, committed to employee diversity. Connect with us at [www.abbott.com](http://www.abbott.com/), on Facebook at [www.facebook.com/Abbott](http://www.facebook.com/Abbott) and on Twitter @AbbottNews and @AbbottGlobal. **The base pay for this position is** $99,300.00 – $198,700.00 In specific locations, the pay range may vary from the range posted. ## **JOB FAMILY:** Market Development and Research ## **DIVISION:** ANPD Nutrition Products ## **LOCATION:** United States > Columbus : RP03 ## **ADDITIONAL LOCATIONS:** ## **WORK SHIFT:** Standard ## **TRAVEL:** Yes, 5 % of the Time ## **MEDICAL SURVEILLANCE:** No ## **SIGNIFICANT WORK ACTIVITIES:** Keyboard use (greater or equal to 50% of the workday) Abbott is an Equal Opportunity Employer of Minorities/Women/Individuals with Disabilities/Protected Veterans. EEO is the Law link - English: http://webstorage.abbott.com/common/External/EEO_English.pdf EEO is the Law link - Espanol: http://webstorage.abbott.com/common/External/EEO_Spanish.pdf", "summaryDescription" : "Manager, Shopper and Category Insights at Abbott. Skills: Shopper insights, Category insights, Data analysis, Growth strategies. Design shopper learning plans. Execute shopper learning plans", "postedDate" : "2026-06-10T16:03:45.628", "createdAt" : "2026-06-11T16:03:45.500", "lastUpdated" : "2026-06-13T05:08:39.903", "ingestTimestamp" : "2026-06-11T16:03:45.500", "mongoId" : "6a2a612774d8ee00a06213ef", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://abbott.wd5.myworkdayjobs.com/abbottcareers/job/United-States---Ohio---Columbus/Manager--Shopper-and-Category-Insights---Columbus--OH_31152807-1", "salaryAnnualMin" : 99300, "salaryAnnualMax" : 198700, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Syndicated data analysis", "Qualitative analysis", "Quantitative analysis", "Data synthesis", "Actionable recommendations", "Solution oriented", "Storytelling skills", "Influence stakeholders", "Shopper insights", "Category insights", "Data analysis", "Growth strategies", "Business strategies", "Retail execution", "Shopper behavior", "Business reviews", "Selling stories", "Pediatric nutrition", "Syndicated data", "Consumer-packaged goods", "Retailer industry", "Nielsen", "Circana", "Numerator", "Scintilla", "Stratum", "Luminate" ], "skillCount" : 27, "jobCategory" : "other", "seniorityLevel" : "manager", "dataQualityScore" : 1.0, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare" }, { "id" : "6a2a5c8574d8ee00a0614a4e", "title" : "Energy and Portfolio Performance Manager", "company" : "Jll", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Energy and Portfolio Performance Manager in Poughkeepsie, NY, adjusted for mid-seniority and company size." }, "location" : "Poughkeepsie, NY", "locations" : [ "Poughkeepsie, NY", "United States of America" ], "certifications" : [ "Professional Engineer (PE) license", "Certified Energy Manager (CEM)", "LEED AP with specialty", "ASHRAE Building Energy Modeling Professional (BEMP)" ], "timestamp" : "2026-06-12T19:45:26.884", "fingerprint" : "fa1c8d49e9453da3e4ecd59eceb6e02876da58f78ca2c1b1d64a3c41b0dc982b", "source" : "workday", "language" : "en", "applyUrl" : "https://jll.wd1.myworkdayjobs.com/jllcareers/job/Poughkeepsie-NY/Energy-and-Portfolio-Performance-Manager_REQ514341", "externalId" : "REQ514341", "locationPoint" : "41.70037,-73.92097", "structuredLocations" : [ { "city" : "Poughkeepsie", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.7065539,-73.9283672" } ], "locationText" : "Poughkeepsie, New York, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "Building automation systems, Python", "professionalSkills" : [ "Energy management", "Sustainability operations", "Energy program implementation", "Energy audits", "Utility data analysis", "Benchmarking initiatives", "Financial viability evaluation", "Energy conservation measures", "High-performance building strategies", "ESG reporting", "Carbon accounting", "Life cycle assessment", "Renewable energy procurement", "Demand response programs", "Utility contract negotiations" ], "hardSkillsList" : [ "Energy audits", "Utility data analysis", "Building science principles", "HVAC systems", "Building envelope design", "Energy codes", "Financial viability evaluation", "Carbon accounting", "Life cycle assessment" ], "hardSkills" : [ { "name" : "Energy audits", "level" : "intermediate" }, { "name" : "Utility data analysis", "level" : "intermediate" }, { "name" : "Building science principles", "level" : "intermediate" }, { "name" : "HVAC systems", "level" : "intermediate" }, { "name" : "Building envelope design", "level" : "intermediate" }, { "name" : "Energy codes", "level" : "intermediate" }, { "name" : "Financial viability evaluation", "level" : "intermediate" }, { "name" : "Carbon accounting", "level" : "intermediate" }, { "name" : "Life cycle assessment", "level" : "intermediate" } ], "majorSkills" : "Energy management, Portfolio performance, Sustainability strategies, Cost savings", "majorSkillsList" : [ "Energy management", "Portfolio performance", "Sustainability strategies", "Cost savings" ], "coreResponsibilities" : "Develop and execute comprehensive energy management strategies, Establish baseline metrics, performance targets, and multi-year roadmaps, Lead benchmarking initiatives, Monitor regulatory requirements, utility rate structures, and incentive, Conduct ASHRAE Level 1 and Level 2 on-site, Evaluate equipment performance, operational practices, and capital improvement, Analyze utility data, building automation systems, and energy, Identify optimization opportunities worth quantifiable cost reductions, Evaluate financial viability of energy projects, Implement energy conservation measures, Integrate high-performance building strategies, Manage relationships with utility providers, energy consultants, and, Track and verify energy savings from implemented projects, Maintain documentation for sustainability certifications and ESG reporting, Prepare detailed dashboards, technical reports, and executive presentations, Communicate energy performance, cost savings, carbon reductions, and, Develop client deliverables that clearly articulate energy and, Present energy program results and recommendations to diverse, Partner with energy, waste, and water sustainability managers, Develop integrated resource efficiency strategies, Explore cutting-edge technologies, Support continuous improvement initiatives, Identify innovative energy management practices and emerging technologies", "teamCollaboration" : "Collaborate with energy managers; Collaborate with waste specialists; Collaborate with water specialists; Collaborate with utility data managers; Collaborate with property management teams; Collaborate with architects; Collaborate with engineers; Collaborate with facility management teams; Collaborate with engineering staff; Collaborate with client stakeholders; Partner with sustainability managers", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Building science principles; HVAC systems; Building envelope design; Energy codes; ASHRAE 90.1; IECC; ESG reporting frameworks; Carbon accounting methodologies; GHG Protocol; SBTi; Life cycle assessment; Renewable energy procurement; Demand response programs; Utility contract negotiations", "domainList" : [ "building-science-principles", "hvac-systems", "building-envelope-design", "energy-codes", "ashrae-90-1", "iecc", "esg-reporting-frameworks", "carbon-accounting-methodologies", "ghg-protocol", "sbti", "life-cycle-assessment", "renewable-energy-procurement", "demand-response-programs", "utility-contract-negotiations" ], "domainSpecificKnowledge" : [ "Building science principles", "HVAC systems", "Building envelope design", "Energy codes", "ASHRAE 90.1", "IECC", "ESG reporting frameworks", "Carbon accounting methodologies", "GHG Protocol", "SBTi", "Life cycle assessment", "Renewable energy procurement", "Demand response programs", "Utility contract negotiations" ], "toolProficiency" : [ "Building automation systems", "Python" ], "communicationSkills" : "Written communication; Verbal communication; Executive presentations; Technical reports; Client deliverables", "documentationSkills" : "Documentation", "innovationCreativity" : "Cutting-edge technologies; Innovative energy management practices; Emerging technologies", "problemSolvingSkills" : "Data-driven analysis; Strategic recommendations; Optimization opportunities", "outcomesObjectives" : "Optimize energy performance; Reduce carbon footprints; Deliver measurable cost savings; Deliver measurable results on time and within budget; Maximize financial benefits; Ensure compliance; Identify performance improvement opportunities; Deliver measurable cost savings and carbon reductions", "qualificationsBasic" : "Bachelor's degree in Mechanical Engineering, Architectural Engineering, Building Science, Environmental Engineering, Facilities Management, or related field, 3–5 years of direct experience in energy management, energy program implementation, or sustainability operations across commercial real estate portfolios, Proven track record of identifying and implementing energy conservation measures that deliver measurable cost savings and carbon reductions, Understanding of building science principles, HVAC systems, building envelope design, and energy codes (ASHRAE 90.1, IECC), Experience conducting energy audits and analyzing utility data to identify optimization opportunities, Proficiency with energy benchmarking tools (ENERGY STAR Portfolio Manager) and building automation systems, Excellent written and verbal communication skills with ability to convey complex technical concepts to diverse audiences including C-suite executives, Demonstrated project management abilities with track record of delivering measurable results on time and within budget", "qualificationsPreferred" : "Master's degree in relevant field, Professional Engineer (PE) license, Certified Energy Manager (CEM) certification, LEED AP with specialty, ASHRAE Building Energy Modeling Professional (BEMP), Experience managing energy programs across geographically dispersed portfolios with multiple building types, Familiarity with ESG reporting frameworks, carbon accounting methodologies (GHG Protocol, SBTi), and life cycle assessment, Proficiency with scripting languages (Python) for automating workflows and data analysis, Experience with renewable energy procurement, demand response programs, and utility contract negotiations", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "**JLL empowers you to shape a brighter way**. Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. **Job Summary** The Energy and Portfolio Performance Manager serves as a core technical expert driving sustainable energy strategies across a diverse Fortune 100 technology client portfolio. This role optimizes energy performance, reduces carbon footprints, and delivers measurable cost savings through data-driven analysis and strategic program implementation. Working collaboratively with energy managers, waste and water specialists, and utility data managers, you'll provide integrated sustainability solutions that balance operational excellence with environmental responsibility. You'll analyze complex energy data, conduct comprehensive audits, and implement efficiency programs aligned with organizational sustainability goals. As a trusted advisor to facility management teams, engineering staff, and client stakeholders, you'll translate technical energy concepts into strategic recommendations that drive portfolio-level decision-making and demonstrate JLL's commitment to shaping a brighter, more sustainable future. **Key Responsibilities** **Strategic Energy Management** * Develop and execute comprehensive energy management strategies across assigned portfolios, establish baseline metrics, performance targets, and multi-year roadmaps aligned with client sustainability goals * Lead benchmarking initiatives using internal platforms to position clients competitively and identify performance improvement opportunities * Monitor regulatory requirements, utility rate structures, and incentive programs to maximize financial benefits and ensure compliance **Technical Analysis & Auditing** * Conduct ASHRAE Level 1 and Level 2 on-site energy audits to evaluate equipment performance, operational practices, and capital improvement opportunities * Analyze utility data, building automation systems, and energy consumption patterns to identify optimization opportunities worth quantifiable cost reductions * Evaluate financial viability of energy projects including HVAC upgrades, lighting retrofits, building envelope enhancements, and demand response programs **Program Implementation & Stakeholder Management** * Collaborate with property management teams, architects, and engineers to implement energy conservation measures and integrate high-performance building strategies * Manage relationships with utility providers, energy consultants, and technology vendors to support program innovation and implementation * Track and verify energy savings from implemented projects, maintaining documentation for sustainability certifications (where applicable) and ESG reporting **Reporting & Communication** * Prepare detailed dashboards, technical reports, and executive presentations communicating energy performance, cost savings, carbon reductions, and strategic recommendations * Develop client deliverables that clearly articulate energy and carbon reduction opportunities across multiple building types and geographies * Present energy program results and recommendations to diverse audiences including property management teams, engineering staff, and client executives **Cross-Functional Collaboration** * Partner with energy, waste, and water sustainability managers to develop integrated resource efficiency strategies * Explore cutting-edge technologies including controls optimization, load management, and employee engagement programs * Support continuous improvement initiatives by identifying innovative energy management practices and emerging technologies **Required Qualifications** * Bachelor's degree in Mechanical Engineering, Architectural Engineering, Building Science, Environmental Engineering, Facilities Management, or related field * 3–5 years of direct experience in energy management, energy program implementation, or sustainability operations across commercial real estate portfolios * Proven track record of identifying and implementing energy conservation measures that deliver measurable cost savings and carbon reductions * Strong understanding of building science principles, HVAC systems, building envelope design, and energy codes (ASHRAE 90.1, IECC) * Experience conducting energy audits and analyzing utility data to identify optimization opportunities * Proficiency with energy benchmarking tools (ENERGY STAR Portfolio Manager) and building automation systems * Excellent written and verbal communication skills with ability to convey complex technical concepts to diverse audiences including C-suite executives * Demonstrated project management abilities with track record of delivering measurable results on time and within budget **Preferred Qualifications** * Master's degree in relevant field * Professional Engineer (PE) license and/or Certified Energy Manager (CEM) certification highly desired * LEED AP with specialty, ASHRAE Building Energy Modeling Professional (BEMP), or similar credentials * Experience managing energy programs across geographically dispersed portfolios with multiple building types * Familiarity with ESG reporting frameworks, carbon accounting methodologies (GHG Protocol, SBTi), and life cycle assessment * Proficiency with scripting languages (Python) for automating workflows and data analysis * Experience with renewable energy procurement, demand response programs, and utility contract negotiations * Knowledge of building energy modeling software and performance simulation tools * Self-starter with proven ability to work independently and collaboratively within cross-functional teams This position does not provide visa sponsorship. Candidates must be authorized to work in the United States without sponsorship. **Estimated compensation for this position:** 84,600.00 – 115,000.00 USD per year _This range is an estimate and actual compensation may differ. Final compensation packages are determined by various considerations including but not limited to candidate qualifications, location, market conditions, and internal considerations._ **Location:** On-site –Durham, NC, New York, NY, Poughkeepsie, NY, Yorktown Heights, NY If this job description resonates with you, we encourage you to apply, even if you don’t meet all the requirements. We’re interested in getting to know you and what you bring to the table! **Personalized benefits that support personal well-being and growth:** JLL recognizes the impact that the workplace can have on your wellness, so we offer a supportive culture and comprehensive benefits package that prioritizes mental, physical and emotional health. Some of these benefits may include: * 401(k) plan with matching company contributions * Comprehensive Medical, Dental & Vision Care * Paid parental leave at 100% of salary * Paid Time Off and Company Holidays * Early access to earned wages through Daily Pay At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you're pursuing. _**JLL Privacy Notice**_ Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL’s recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely. For more information about how JLL processes your personal data, please view our [Candidate Privacy Statement](https://www.us.jll.com/en/careers/candidate-privacy-statement). For additional details please see our career site pages for each country. For candidates in the United States, please see a full copy of our Equal Employment Opportunity policy [here](https://www.us.jll.com/en/careers/disclaimers). Jones Lang LaSalle (“JLL”) is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process – including the online application and/or overall selection process – you may email us at [_HRSCLeaves @jll.com_](mailto:HRSCLeaves@jll.com). This email is only to request an accommodation. Please direct any other general recruiting inquiries to our [Contact Us](https://www.us.jll.com/en/contact-us) page > I want to work for JLL. Pursuant to the Arizona Civil Rights Act, criminal convictions are not an absolute bar to employment. Pursuant to Illinois Law, applicants are not obligated to disclose sealed or expunged records of conviction or arrest. Pursuant to Columbia, SC ordinance, this position is subject to a background check for any convictions directly related to its duties and responsibilities. Only job-related convictions will be considered and will not automatically disqualify the candidate. **California Residents only** If you are a California resident as defined in the California Consumer Privacy Act (CCPA) please view our [Supplemental Privacy Statement](https://www.us.jll.com/content/dam/jll-com/documents/pdf/other/california-addendum.pdf) which describes your rights and disclosures about your personal information. If you are viewing this on a mobile device you may want to view the CCPA version on a larger device. Pursuant to the Los Angeles Fair Chance Initiative for Hiring Ordinance, JLL will consider for employment all qualified Applicants, including those with Criminal Histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Accepting applications on an ongoing basis until candidate identified.", "summaryDescription" : "Energy and Portfolio Performance Manager at Jll. Skills: Energy management, Portfolio performance, Sustainability strategies, Cost savings. Develop and execute comprehensive energy management strategies. Establish baseline metrics, performance targets, and multi-year roadmaps", "postedDate" : "2026-06-11T15:14:26.811", "createdAt" : "2026-06-11T15:14:26.680", "lastUpdated" : "2026-06-12T19:45:26.884", "ingestTimestamp" : "2026-06-11T15:14:26.680", "mongoId" : "6a2a5c8574d8ee00a0614a4e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://jll.wd1.myworkdayjobs.com/jllcareers/job/Poughkeepsie-NY/Energy-and-Portfolio-Performance-Manager_REQ514341", "salaryAnnualMin" : 95000, "salaryAnnualMax" : 135000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Energy audits", "Utility data analysis", "Building science principles", "HVAC systems", "Building envelope design", "Energy codes", "Financial viability evaluation", "Carbon accounting", "Life cycle assessment", "Energy management", "Portfolio performance", "Sustainability strategies", "Cost savings", "Sustainability operations", "Energy program implementation", "Benchmarking initiatives", "Energy conservation measures", "High-performance building strategies", "ESG reporting", "Renewable energy procurement", "Demand response programs", "Utility contract negotiations", "Project management", "ASHRAE 90.1", "IECC", "ESG reporting frameworks", "Carbon accounting methodologies", "GHG Protocol", "SBTi", "Professional Engineer (PE) license", "Certified Energy Manager (CEM)", "LEED AP with specialty", "ASHRAE Building Energy Modeling Professional (BEMP)", "Building automation systems", "Python" ], "skillCount" : 35, "jobCategory" : "other", "seniorityLevel" : "manager", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2c951474d8ee00a098c3a6", "title" : "Staff -Power and Performance Validation Engineer", "company" : "Graphcore", "industry" : "Technology", "salary" : { "min" : 3500000.0, "max" : 5500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Staff Power and Performance Validation Engineer in Bengaluru, India, adjusted for the technology industry and company size." }, "location" : "Bengaluru, India", "locations" : [ "Bengaluru", "India" ], "timestamp" : "2026-06-15T13:01:56.883", "fingerprint" : "21e34fc53a2b094312239f72735034c9de17f017ff070f308cff5c41fa97bb99", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/graphcore/jobs/8587313002", "externalId" : "8587313002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, India", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Staff", "technicalSkills" : "Python, C/C++", "professionalSkills" : [ "Validation strategy", "Performance analysis", "Automation frameworks", "Data analysis", "System design" ], "hardSkillsList" : [ "Power validation", "Performance validation", "Thermal validation", "Silicon characterization", "System performance", "SoC architecture", "CPU architecture", "Memory architecture", "Interconnect architecture", "High-speed I/O", "Linux systems", "Low-level performance", "Python programming", "Automation", "Orchestration", "Data analysis", "Benchmarking", "Profiling", "Hardware debugging", "Software debugging", "Workload modeling", "Test strategy", "Data interpretation", "Bottleneck identification", "AI accelerators", "GPU architecture", "High-performance compute", "Pre-silicon modeling", "Pre-silicon simulation", "Power management", "Hardware instrumentation", "Telemetry systems", "High core-count systems", "Large-scale compute" ], "hardSkills" : [ { "name" : "Power validation", "level" : "intermediate" }, { "name" : "Performance validation", "level" : "intermediate" }, { "name" : "Thermal validation", "level" : "intermediate" }, { "name" : "Silicon characterization", "level" : "intermediate" }, { "name" : "System performance", "level" : "intermediate" }, { "name" : "SoC architecture", "level" : "intermediate" }, { "name" : "CPU architecture", "level" : "intermediate" }, { "name" : "Memory architecture", "level" : "intermediate" }, { "name" : "Interconnect architecture", "level" : "intermediate" }, { "name" : "High-speed I/O", "level" : "intermediate" }, { "name" : "Linux systems", "level" : "intermediate" }, { "name" : "Low-level performance", "level" : "intermediate" }, { "name" : "Python programming", "level" : "intermediate" }, { "name" : "Automation", "level" : "intermediate" }, { "name" : "Orchestration", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Benchmarking", "level" : "intermediate" }, { "name" : "Profiling", "level" : "intermediate" }, { "name" : "Hardware debugging", "level" : "intermediate" }, { "name" : "Software debugging", "level" : "intermediate" }, { "name" : "Workload modeling", "level" : "intermediate" }, { "name" : "Test strategy", "level" : "intermediate" }, { "name" : "Data interpretation", "level" : "intermediate" }, { "name" : "Bottleneck identification", "level" : "intermediate" }, { "name" : "AI accelerators", "level" : "intermediate" }, { "name" : "GPU architecture", "level" : "intermediate" }, { "name" : "High-performance compute", "level" : "intermediate" }, { "name" : "Pre-silicon modeling", "level" : "intermediate" }, { "name" : "Pre-silicon simulation", "level" : "intermediate" }, { "name" : "Power management", "level" : "intermediate" }, { "name" : "Hardware instrumentation", "level" : "intermediate" }, { "name" : "Telemetry systems", "level" : "intermediate" }, { "name" : "High core-count systems", "level" : "intermediate" }, { "name" : "Large-scale compute", "level" : "intermediate" } ], "majorSkills" : "Power validation, Performance validation, AI compute silicon, System performance", "majorSkillsList" : [ "Power validation", "Performance validation", "AI compute silicon", "System performance" ], "coreResponsibilities" : "Define validation strategies, Lead validation strategies, Drive validation strategy execution, Lead power validation activities, Lead thermal validation activities, Lead performance validation activities, Ensure products meet expectations, Develop validation plans, Execute validation activities, Lead post-silicon bring-up, Lead characterization activities, Drive validation of CPU subsystems, Drive validation of memory subsystems, Drive validation of interconnect subsystems, Drive validation of I/O subsystems, Develop scalable automation frameworks, Develop regression infrastructure, Develop reporting tools, Design benchmark workloads, Execute benchmark workloads, Design performance experiments, Execute performance experiments, Identify optimization opportunities, Debug complex technical issues, Resolve complex technical issues, Define validation metrics, Define pass/fail criteria, Define reporting methodologies, Ensure repeatable analysis, Ensure high-quality analysis, Guide development of custom workload generators, Guide development of micro-benchmarks, Analyze power data, Analyze thermal data, Analyze performance data, Identify bottlenecks, Recommend improvements, Contribute to continuous improvement, Improve validation processes, Improve validation tooling, Improve engineering practices, Communicate technical findings, Communicate project status, Communicate risks, Communicate recommendations, Support knowledge sharing, Contribute to continuous improvement", "teamCollaboration" : "Cross-functional teams; Architecture teams; RTL teams; Firmware teams; Software teams; Systems teams; Engineering leadership", "projectManagementSkills" : [ "Planning and execution" ], "domainKnowledge" : "AI compute; SoC architecture; High-speed I/O; AI accelerators; GPU architecture; High-performance compute", "domainList" : [ "ai-compute", "soc-architecture", "high-speed-i-o", "ai-accelerators", "gpu-architecture", "high-performance-compute" ], "domainSpecificKnowledge" : [ "AI compute", "SoC architecture", "High-speed I/O", "AI accelerators", "GPU architecture", "High-performance compute" ], "toolProficiency" : [ "Stress-ng", "Fio", "Perf", "Iperf" ], "communicationSkills" : "Communicate technical findings; Communicate project status; Communicate risks; Communicate recommendations", "problemSolvingSkills" : "Debugging complex issues; Identify bottlenecks; Root cause analysis", "qualificationsBasic" : "Power and performance validation experience, Silicon characterization experience, System performance engineering experience, SoC architecture understanding, CPU, memory, interconnect, I/O knowledge, Linux systems knowledge, Low-level performance analysis experience, Python programming skills, Benchmarking and profiling tools experience, Complex hardware/software debugging, Structured validation methodologies, Workload models and test strategies, Analytical skills, Interpret large datasets, Identify system bottlenecks, Cross-functional collaboration skills, Work independently on complex tasks", "qualificationsPreferred" : "AI accelerator architecture experience, GPU architecture experience, High-performance compute architecture experience, Pre-silicon modelling experience, Pre-silicon simulation environments experience, Power management technologies knowledge, Silicon characterization methodologies knowledge, C/C++ programming experience, Low-level system development experience, Benchmark development experience, Hardware instrumentation familiarity, Telemetry systems familiarity, High core-count systems experience, Large-scale compute systems experience, Shared validation infrastructure contribution, Engineering best practices contribution", "workSiteFlexibility" : "Onsite", "rawDescription" : "Staff -Power and Performance Validation Engineer About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary Reporting to senior leadership within Architecture and Validation, the Power and Performance Validation Lead will drive validation strategy and execution for advanced AI compute silicon and systems. The role is responsible for leading power, thermal and performance validation activities across pre-silicon and post-silicon environments to ensure products meet efficiency, reliability and scalability expectations. This role requires strong technical expertise and collaboration across multiple engineering disciplines to deliver robust validation methodologies, scalable automation frameworks and actionable performance insights. The Team The Power and Performance Validation team sits within the Architecture and Validation organisation and is responsible for validating the performance, efficiency and thermal behaviour of Graphcore silicon and systems. The team supports the full product lifecycle, from early architectural modelling through to first silicon bring-up, characterization and production readiness. Engineers work closely with cross-functional teams globally to debug complex issues, optimize workloads and continuously improve validation infrastructure and methodologies. Responsibilities and Duties Define and lead validation strategies for power, thermal and performance characterization of AI compute silicon and platforms Contribute to planning and execution of validation activities across multiple projects and milestones Develop comprehensive validation plans covering functional, stress, workload and corner-case scenarios Lead post-silicon bring-up and characterization activities for power and performance validation Drive validation of CPU, memory, interconnect and high-speed I/O subsystems under complex workload conditions Develop scalable automation frameworks, regression infrastructure and reporting tools using Python Design and execute benchmark workloads, parameter sweeps and performance experiments to identify optimization opportunities Collaborate with architecture, RTL, firmware, software and systems teams to debug and resolve complex technical issues Define validation metrics, pass/fail criteria and reporting methodologies to ensure repeatable and high-quality analysis Guide development of custom workload generators and micro-benchmarks where required Analyse power, thermal and performance data to identify bottlenecks and recommend improvements Contribute to continuous improvement of validation processes, tooling and engineering practices Communicate technical findings, project status, risks and recommendations clearly to stakeholders and engineering leadership Support knowledge sharing and contribute to continuous improvement across the validation organisation Candidate Profile Essential: Strong experience in power and performance validation, silicon characterization or system performance engineering Deep understanding of modern SoC architecture, including CPU, memory, interconnect and high-speed I/O technologies Strong Linux systems knowledge and low-level performance analysis experience Strong Python programming skills for automation, orchestration and data analysis Experience with benchmarking and profiling tools such as stress-ng, fio, perf, iperf or equivalent technologies Experience debugging complex hardware and software interactions Ability to define structured validation methodologies, workload models and test strategies Strong analytical skills with the ability to interpret large datasets and identify system bottlenecks Strong communication and cross-functional collaboration skills Ability to work independently on complex technical tasks while collaborating effectively across teams Desirable Experience with AI accelerator, GPU or high-performance compute architectures Experience with pre-silicon modelling or simulation environments Knowledge of power management technologies and silicon characterization methodologies Programming experience in C/C++ for low-level system or benchmark development Familiarity with hardware instrumentation and telemetry systems Experience working with high core-count or large-scale compute systems Experience contributing to shared validation infrastructure and engineering best practices", "summaryDescription" : "Staff -Power and Performance Validation Engineer at Graphcore. Skills: Power validation, Performance validation, AI compute silicon, System performance. Define validation strategies. Lead validation strategies", "postedDate" : "2026-06-14T02:28:52.967", "createdAt" : "2026-06-14T02:28:52.967", "lastUpdated" : "2026-06-15T13:01:56.883", "ingestTimestamp" : "2026-06-14T02:28:52.967", "mongoId" : "6a2c951474d8ee00a098c3a6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Power validation", "Performance validation", "Thermal validation", "Silicon characterization", "System performance", "SoC architecture", "CPU architecture", "Memory architecture", "Interconnect architecture", "High-speed I/O", "Linux systems", "Low-level performance", "Python programming", "Automation", "Orchestration", "Data analysis", "Benchmarking", "Profiling", "Hardware debugging", "Software debugging", "Workload modeling", "Test strategy", "Data interpretation", "Bottleneck identification", "AI accelerators", "GPU architecture", "High-performance compute", "Pre-silicon modeling", "Pre-silicon simulation", "Power management", "Hardware instrumentation", "Telemetry systems", "High core-count systems", "Large-scale compute", "AI compute silicon", "Validation strategy", "Performance analysis", "Automation frameworks", "System design", "Planning and execution", "AI compute", "Stress-ng", "Fio", "Perf", "Iperf" ], "skillCount" : 45, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a25145a74d8ee00a00bb4fb", "title" : "Data Engineering Manager, Planning and Audience Insights", "company" : "Amazon.com Services LLC", "industry" : "Data Science, Data Engineering, entertainment", "salary" : { "min" : 170000.0, "max" : 230000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Culver City, California, USA", "locations" : [ "Culver City, California, USA" ], "timestamp" : "2026-06-15T03:17:28.355", "fingerprint" : "6aa3c856387fafb46a2f01fc537040ea31717e821969bb55d633e4a39d7571e4", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10441155/apply", "externalId" : "ca490d26-9b5c-4f9c-ac4c-e2946741f12c", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Culver City", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.0211224,-118.3964660" } ], "locationText" : "Culver City, California, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "Redshift, ETL, ELT, Data modeling, Python, Java, Scala, NodeJS, Hadoop, Hive, Spark, EMR, AWS, S3, EC2, Lambda, GenAI, ML", "professionalSkills" : [ "Data governance", "Data quality", "Data reliability", "Business intelligence", "Data architecture", "Pipeline solutions", "Audience segmentation", "Content analysis", "Experimentation automation", "Marketing optimization", "Audience strategy", "Programming decisions" ], "hardSkillsList" : [ "Data pipeline development", "Data infrastructure management", "Platform capabilities", "Performance optimization", "Cost efficiency", "Scalability management", "Monitoring implementation", "Alerting implementation", "SLA implementation", "Data quality frameworks", "Cross-functional partnership", "Roadmap reviews", "Incident response", "Continuous improvement" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Data pipeline development", "level" : "intermediate" }, { "name" : "Data infrastructure management", "level" : "intermediate" }, { "name" : "Platform capabilities", "level" : "intermediate" }, { "name" : "Performance optimization", "level" : "intermediate" }, { "name" : "Cost efficiency", "level" : "intermediate" }, { "name" : "Scalability management", "level" : "intermediate" }, { "name" : "Monitoring implementation", "level" : "intermediate" }, { "name" : "Alerting implementation", "level" : "intermediate" }, { "name" : "SLA implementation", "level" : "intermediate" }, { "name" : "Data quality frameworks", "level" : "intermediate" }, { "name" : "Cross-functional partnership", "level" : "intermediate" }, { "name" : "Roadmap reviews", "level" : "intermediate" }, { "name" : "Incident response", "level" : "intermediate" }, { "name" : "Continuous improvement", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Data Engineering, AI/ML, Data Platform, Team Leadership", "majorSkillsList" : [ "Data Engineering", "AI/ML", "Data Platform", "Team Leadership" ], "coreResponsibilities" : "Lead and develop senior data engineers, Hire senior data engineers, Mentor senior data engineers, Set technical direction, Manage performance of engineers, Manage growth opportunities for engineers, Own data platform strategy, Own data platform roadmap, Manage Redshift infrastructure, Optimize Redshift infrastructure, Ensure Redshift performance, Ensure Redshift cost efficiency, Ensure Redshift availability, Ensure Redshift scalability, Own data pipelines for AI tools, Ensure reliable data flows, Ensure high-quality data flows, Drive data engineering for applications, Establish data governance standards, Enforce data governance standards, Establish data quality standards, Enforce data quality standards, Establish data reliability standards, Enforce data reliability standards, Implement monitoring, Implement alerting, Implement SLAs, Implement data quality frameworks, Partner cross-functionally, Translate business requirements, Design scalable data architecture, Design pipeline solutions, Represent data engineering in forums, Contribute to annual planning, Contribute to QBRs, Contribute to roadmap reviews, Communicate trade-offs, Communicate capacity constraints, Communicate investment needs, Drive operational excellence, Own on-call processes, Manage incident response, Manage COE follow-ups, Improve operational posture", "teamCollaboration" : "Product managers; Data scientists; Analytics; BI engineers; Software engineers; Content programmers; Marketing strategists; Senior leadership", "projectManagementSkills" : [ "Roadmap planning", "Annual planning", "QBRs" ], "domainKnowledge" : "Prime Video; Audience Insights; Streaming services; Content programming; Marketing optimization; Audience growth; AI Tooling; Automation; Audience Infrastructure; Customer journey; Marketplace intelligence; Competitive intelligence; Digital creative production; Ad serving; Cross-channel attribution; Media analytics", "domainList" : [ "prime-video", "audience-insights", "streaming-services", "content-programming", "marketing-optimization", "audience-growth", "ai-tooling", "automation", "audience-infrastructure", "customer-journey", "marketplace-intelligence", "competitive-intelligence", "digital-creative-production", "ad-serving", "cross-channel-attribution", "media-analytics" ], "domainSpecificKnowledge" : [ "Prime Video", "Audience Insights", "Streaming services", "Content programming", "Marketing optimization", "Audience growth", "AI Tooling", "Automation", "Audience Infrastructure", "Customer journey", "Marketplace intelligence", "Competitive intelligence", "Digital creative production", "Ad serving", "Cross-channel attribution", "Media analytics" ], "toolProficiency" : [ "Redshift clusters", "Jenkins", "Bamboo", "TeamCity", "Code Deploy", "GitLab" ], "communicationSkills" : "Verbal communication; Written communication", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "specialRequirements" : "On-call processes", "qualificationsBasic" : "7+ years data engineering experience, Experience managing data/BI team, 5+ years processing data with massively parallel technology, 3+ years developing/operating large-scale data structures for BI analytics, Experience leading/influencing data/BI strategy, Experience communicating to senior management, Experience communicating to customers, Experience in scripting or programming language", "qualificationsPreferred" : "Experience with big data technologies, Experience with AWS Tools, Experience working with Data & AI technologies, Knowledge of digital creative production, Knowledge of ad serving, Knowledge of cross-channel attribution, Knowledge of media analytics, Experience developing cloud native CI/CD workflows", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming across thousands of devices, from award-winning Amazon MGM Studios originals to live sports, channels, and TVOD. Behind the content our customers love is a team shaping what gets released, when, and for whom. The US Planning & Audience Insights team is where strategy meets data meets AI: we build the tools and intelligence that power programming decisions, audience growth, and marketing optimizations. We’re looking for a Data Engineering Manager to lead the Data Engineering function within Prime Video’s US Planning & Audience Insights team. This team defines Prime Video’s north star (long-term strategy, priority audiences, and growth objectives) and delivers the customer intelligence, analytics, and AI-powered solutions that enable the organization to achieve them. You’ll lead a team of senior data engineers and own the data infrastructure, pipelines, and platform capabilities that power our analytics, AI tools, and business-critical applications. Your team’s work directly enables content programming, marketing optimization, and audience strategy for one of the world’s largest streaming services. This requires you to balance competing priorities, manage complex stakeholder relationships, and work shoulder-to-shoulder with product managers, data scientists, and analytics to deliver scalable data solutions at pace. Key job responsibilities • Lead and develop a team of senior data engineers, hiring, mentoring, setting technical direction, managing performance and growth opportunities. • Own the data platform strategy and roadmap for the team’s portfolio, including multiple Redshift clusters, ETL/ELT pipelines, and data models that serve analytics, data science, and business stakeholders. • Manage and optimize Redshift infrastructure, ensuring performance, cost efficiency, availability, and scalability across multiple clusters serving diverse business lines. • Own data pipelines for AI-powered tools, ensuring reliable, high-quality data flows that power the team’s GenAI and ML applications including content analysis, audience segmentation, and experimentation automation. • Drive data engineering for business-critical applications, including dashboards and other internal self developed software products. • Establish and enforce data governance, quality, and reliability standards, implementing monitoring, alerting, SLAs, and data quality frameworks across the team’s data assets. • Partner cross-functionally with product managers, data scientists, BI engineers, and software engineers to translate business requirements into scalable data architecture and pipeline solutions. • Represent data engineering in planning and leadership forums, contributing to annual planning, QBRs, and roadmap reviews. Communicate trade-offs, capacity constraints, and investment needs clearly to senior leadership. • Drive operational excellence, owning on-call processes, incident response, COE follow-ups, and continuous improvement of the team’s operational posture. About the team The US Planning & Audience Insights team sits within US Prime Video. We operate across six functions: Business Planning, Product-Tech, Analytics, Data Science, Data Engineering, and Research. Our stakeholders span content programming, content acquisition, marketing, and PV senior leadership. Our 2026 roadmap is anchored in two investment themes (AI Tooling & Automation and Audience Infrastructure & Insights) spanning content optimization, experimentation, marketing, customer journey, marketplace, and competitive intelligence. Our products serve content programmers, marketing strategists, and senior leadership. We build tools that help PV decide what to release, when to release it, who to target, and how to measure success at scale. Basic Qualifications: - 7+ years of data engineering experience - Experience managing a data or BI team - 5+ years of processing data with a massively parallel technology (such as Redshift, Teradata, Netezza, Spark or Hadoop based big data solution) experience - 3+ years of developing and operating large-scale data structures for business intelligence analytics (using ETL/ELT processes) experience - Experience leading and influencing the data or BI strategy of your team or organization - Experience communicating to senior management and customers verbally and in writing - Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS Preferred Qualifications: - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR - Experience with AWS Tools and Technologies (Redshift, S3, EC2) - Experience working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage - Knowledge of digital creative production, ad serving, cross-channel attribution, and media analytics - Experience developing cloud native CI/CD workflows and tools, such as Jenkins, Bamboo, TeamCity, Code Deploy (AWS) or GitLab Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, Culver City - 170,000.00 - 230,000.00 USD annually USA, WA, SEATTLE - 170,000.00 - 230,000.00 USD annually", "summaryDescription" : "Data Engineering Manager, Planning and Audience Insights at Amazon.com Services LLC. Skills: Data Engineering, AI/ML, Data Platform, Team Leadership. Lead and develop senior data engineers. Hire senior data engineers", "postedDate" : "2026-06-13T10:46:12.112", "createdAt" : "2026-06-13T10:46:12.112", "lastUpdated" : "2026-06-15T03:17:28.355", "ingestTimestamp" : "2026-06-13T10:46:12.112", "mongoId" : "6a25145a74d8ee00a00bb4fb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10441155/apply", "salaryAnnualMin" : 170000, "salaryAnnualMax" : 230000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data pipeline development", "Data infrastructure management", "Platform capabilities", "Performance optimization", "Cost efficiency", "Scalability management", "Monitoring implementation", "Alerting implementation", "SLA implementation", "Data quality frameworks", "Cross-functional partnership", "Roadmap reviews", "Incident response", "Continuous improvement", "Leadership", "Mentoring", "Data Engineering", "AI/ML", "Data Platform", "Team Leadership", "Data governance", "Data quality", "Data reliability", "Business intelligence", "Data architecture", "Pipeline solutions", "Audience segmentation", "Content analysis", "Experimentation automation", "Marketing optimization", "Audience strategy", "Programming decisions", "Roadmap planning", "Annual planning", "QBRs", "Prime Video", "Audience Insights", "Streaming services", "Content programming", "Audience growth", "AI Tooling", "Automation", "Audience Infrastructure", "Customer journey", "Marketplace intelligence", "Competitive intelligence", "Digital creative production", "Ad serving", "Cross-channel attribution", "Media analytics", "Redshift clusters", "Jenkins", "Bamboo", "TeamCity", "Code Deploy", "GitLab" ], "skillCount" : 56, "jobCategory" : "data", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2176c774d8ee00a0c1adbc", "title" : "Data Engineer, WW Promotions Data and Insights", "company" : "Amazon Development Centre Canada ULC", "industry" : "Data Science, Data Engineering, north america stores", "salary" : { "min" : 103300.0, "max" : 172600.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Vancouver, British Columbia, CAN", "locations" : [ "Vancouver, British Columbia, CAN" ], "timestamp" : "2026-06-15T03:12:51.771", "fingerprint" : "be379a15adb0d165f4e7fbac44c1dc26058391c402487f29249070d19d908bff", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10438823/apply", "externalId" : "88a730ec-f4bb-4fe3-bfe8-4633080161a6", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Vancouver", "state" : "British Columbia", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "49.2608724,-123.1139520" } ], "locationText" : "Vancouver, British Columbia, Canada", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "AWS, Redshift, S3, Glue, EMR, Kinesis, Lambda, Python, Scala, Airflow", "professionalSkills" : [ "Data modeling", "Data warehousing", "ETL pipelines", "Infrastructure-as-code", "CI/CD" ], "hardSkillsList" : [ "Data processing systems", "Data pipeline performance", "Data reliability", "Cost-efficiency" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Data processing systems", "level" : "intermediate" }, { "name" : "Data pipeline performance", "level" : "intermediate" }, { "name" : "Data reliability", "level" : "intermediate" }, { "name" : "Cost-efficiency", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "Data engineering, AWS services, Data pipelines", "majorSkillsList" : [ "Data engineering", "AWS services", "Data pipelines" ], "coreResponsibilities" : "Design data processing systems, Build data processing systems, Operate data processing systems, Leverage expertise in Python, Develop custom data processing frameworks, Develop automation tools, Collaborate with data scientists, Collaborate with analysts, Collaborate with product managers, Optimize data pipeline performance, Optimize data pipeline reliability, Optimize data pipeline cost-efficiency, Mentor junior engineers, Share knowledge of data engineering, Stay up-to-date with big data technologies, Stay up-to-date with architectural patterns, Drive adoption of innovative solutions", "teamCollaboration" : "With data scientists; With analysts; With product managers", "domainKnowledge" : "Promotions data; Promotional strategies; Selling Partners; Big data technologies; Architectural patterns", "domainList" : [ "promotions-data", "promotional-strategies", "selling-partners", "big-data-technologies", "architectural-patterns" ], "domainSpecificKnowledge" : [ "Promotions data", "Promotional strategies", "Selling Partners", "Big data technologies", "Architectural patterns" ], "toolProficiency" : [ "Airflow", "Redshift", "S3", "Glue", "EMR", "Kinesis", "Lambda" ], "continuousLearning" : "Stay up-to-date with technologies; Drive adoption of solutions", "innovationCreativity" : "Drive adoption of innovative solutions", "problemSolvingSkills" : "Translate business requirements", "qualificationsBasic" : "3+ years of data engineering experience, Experience with data modeling, Experience with warehousing, Experience building ETL pipelines", "qualificationsPreferred" : "Experience with AWS technologies, Experience with non-relational databases, Usage of generative AI tools, Willingness to learn AI prompting, Ability to recognize AI opportunities", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you passionate about developing the next generation of data infrastructure capable of handling complex, mission-critical data pipelines and analytics workloads? Do you want to build next generation data engineering solutions that leverage the latest AWS technologies to process a broad range of business and customer data? Join our WW Promotions Data and Insights team, where you'll have the opportunity to continuously improve the systems that enable Amazon's promotional strategies across every major shopping event worldwide. Key job responsibilities 1. Design, build, and operate highly scalable, fault-tolerant data processing systems using modern AWS services like Redshift, S3, Glue, EMR, Kinesis, and Lambda, and orchestration systems using Airflow 2. Leverage your expertise in Python, Scala, or other modern programming languages to develop custom data processing frameworks and automation tools 3. Collaborate closely with data scientists, analysts, and product managers to understand business requirements and translate them into technical solutions 4. Continuously optimize data pipeline performance, reliability, and cost-efficiency using best practices in CI/CD and infrastructure-as-code 5. Mentor junior engineers and share your knowledge of data engineering best practices 6. Stay up-to-date with the latest big data technologies and architectural patterns, and drive the adoption of innovative solutions About the team Promotions reinforce a positive perception of Amazon’s price leadership with shoppers by complementing our everyday great prices with time-bound discounts on a broad selection of high-quality products. For Selling Partners (SPs), promotions create incremental demand for their products and increase their share of voice, clear inventory, and drive traffic to new selection. WW Promotions owns the sourcing and execution of promotions at Amazon and we are their data & analytics team. We serve as the central stewards of promotions data, delivering trusted and governed datasets that power product development, machine learning models, and business analytics across the organization. Basic Qualifications: - 3+ years of data engineering experience - Experience with data modeling, warehousing and building ETL pipelines Preferred Qualifications: - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions - Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases) - Usage of generative AI tools to enhance workflow efficiency, with a willingness to learn effective prompting and evaluation practices. - Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status. CAN, BC, Vancouver - 103,300.00 - 172,600.00 CAD annually", "summaryDescription" : "Data Engineer, WW Promotions Data and Insights at Amazon Development Centre Canada ULC. Skills: Data engineering, AWS services, Data pipelines. Design data processing systems. Build data processing systems", "postedDate" : "2026-06-13T09:12:42.868", "createdAt" : "2026-06-13T09:12:42.868", "lastUpdated" : "2026-06-15T03:12:51.771", "ingestTimestamp" : "2026-06-13T09:12:42.868", "mongoId" : "6a2176c774d8ee00a0c1adbc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10438823/apply", "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Data processing systems", "Data pipeline performance", "Data reliability", "Cost-efficiency", "Mentoring", "Data engineering", "AWS services", "Data pipelines", "Data modeling", "Data warehousing", "ETL pipelines", "Infrastructure-as-code", "CI/CD", "Promotions data", "Promotional strategies", "Selling Partners", "Big data technologies", "Architectural patterns", "Airflow", "Redshift", "S3", "Glue", "EMR", "Kinesis", "Lambda" ], "skillCount" : 25, "jobCategory" : "data", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "68c2e425f8b1b0376634c611", "title" : "Sr. Applied Scientist, Financial Insights and Actions", "company" : "Amazon Development Centre Canada ULC", "industry" : "Data Science, Applied Science, ecp", "salary" : { "min" : 195900.0, "max" : 327200.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Vancouver, British Columbia, CAN", "locations" : [ "Vancouver, British Columbia, CAN" ], "timestamp" : "2026-06-15T02:50:50.803", "fingerprint" : "90ec9c441a06a19c5d2b4c2a3d8d852aae8f09a90723afa93c472a9806b6e615", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3073810/apply", "externalId" : "657e7d3d-2f15-4c56-8767-ceeeb2f6db26", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Vancouver", "state" : "British Columbia", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "49.2608724,-123.1139520" } ], "locationText" : "Vancouver, British Columbia, Canada", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Java, C++, Python, Neural deep learning, Machine learning, R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, Hadoop, Spark, GenAI, LLMs", "professionalSkills" : [ "Financial Insights", "Financial Actions", "Accounting research", "Financial research", "Financial domain" ], "hardSkillsList" : [ "Data analysis", "Model development", "Model validation", "Model serving", "Anomaly detection", "Multi-agent systems", "LLM fine-tuning" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Model development", "level" : "intermediate" }, { "name" : "Model validation", "level" : "intermediate" }, { "name" : "Model serving", "level" : "intermediate" }, { "name" : "Anomaly detection", "level" : "intermediate" }, { "name" : "Multi-agent systems", "level" : "intermediate" }, { "name" : "LLM fine-tuning", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "Machine learning, GenAI, LLMs, Financial analysis", "majorSkillsList" : [ "Machine learning", "GenAI", "LLMs", "Financial analysis" ], "coreResponsibilities" : "Leverage GenAI/LLMs build agentic solutions, Build AI trust safety, Establish scalable automated processes, Develop training evaluation datasets, Collaborate with engineering productionalize research, Define science direction, Influence senior leadership, Mentor grow scientists, Develop anomaly detection models, Build multi-agent systems, Fine-tune LLMs provide recommendations", "teamCollaboration" : "Domain experts; Engineers; Scientists; SDEs; Product Managers; Accounting stakeholders", "domainKnowledge" : "Accounting; Finance; Financial transactions; Financial processes", "domainList" : [ "accounting", "finance", "financial-transactions", "financial-processes" ], "domainSpecificKnowledge" : [ "Accounting", "Finance", "Financial transactions", "Financial processes" ], "toolProficiency" : [ "scikit-learn", "Spark MLLib", "Tensorflow", "Hadoop", "Spark" ], "communicationSkills" : "Written communication; Verbal communication", "innovationCreativity" : "Scientific research; Publishing papers", "problemSolvingSkills" : "Scientific solutions", "qualificationsBasic" : "3+ years ML models business application, PhD or Master's degree, 6+ years applied research experience, Experience programming Java, C++, Python, Experience neural deep learning methods, Experience machine learning", "qualificationsPreferred" : "Experience modeling tools R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, Experience large scale distributed systems Hadoop, Spark", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you interested in changing the way accounting and finance works at Amazon? We are a science and engineering team leveraging ML models and GenAI/LLMs to solve real-world problems faced by accountants and financial analysts. We are part of the Amazon Financials Foundation Services (AFFS) organization. AFFS is responsible for processing and managing billions of financially relevant transactions sent globally from across Amazon each day, including orders, shipments, payments, and inventory movements. AFFS is at the center of Amazon's key initiatives and fuels the growth of Amazon's businesses worldwide by ensuring that businesses can easily integrate with our services and that accountants and financial analysts have the right tools to use our data. As an Sr. Applied Scientist, you'll work alongside domain experts, engineers, and other scientists to understand business problems, propose scientific solutions, and deploy them to production. You'll work on scientific initiatives for accelerating reconciliation, standardization, and onboarding. This includes: - Leveraging GenAI/LLMs to build agentic solutions to accelerate accounting-related research/tasks and produce proactive insights. - Building AI trust and safety in the financial domain. - Establishing scalable, efficient, automated processes for large-scale data analysis, machine learning model development, model validation, and serving. - Developing training/evaluation datasets for model fine-tuning. - Collaborating with engineering to productionalize research. - Defining the science direction of the organization and influencing/interacting with senior leadership across Amazon. - Mentoring and growing scientists within the team. Specific examples of this work include developing anomaly detection models to identify deviations in payments, building multi-agent systems to perform financial research or onboard new businesses, and fine-tuning LLMs to provide recommendations on next steps. As an interdisciplinary team, we maintain a balance between scientific research and productionalization. This means, you'll get a unique opportunity to influence the global scientific community by publishing papers externally and internally while also seeing your work used across Amazon. You will need to have a start-up like mindset, as you will be working an in a highly iterative and collaborative environment with SDEs, Product Managers, and Accounting stakeholders to propose ideas, experiment, and scale rapidly. You should have a keen eye for what a good user experience should look like, possess excellent written and verbal communication, and have a keen interest in learning about accounting and financial processes. Basic Qualifications: - 3+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning Preferred Qualifications: - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary for this position ranges from $195,900/year up to $327,200/year. Salary is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. Applicants should apply via our internal or external career site.", "summaryDescription" : "Sr. Applied Scientist, Financial Insights and Actions at Amazon Development Centre Canada ULC. Skills: Machine learning, GenAI, LLMs, Financial analysis. Leverage GenAI/LLMs build agentic solutions. Build AI trust safety", "postedDate" : "2026-06-13T07:38:09.940", "createdAt" : "2026-06-13T07:38:09.940", "lastUpdated" : "2026-06-15T02:50:50.803", "ingestTimestamp" : "2026-06-13T07:38:09.940", "mongoId" : "68c2e425f8b1b0376634c611", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3073810/apply", "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Model development", "Model validation", "Model serving", "Anomaly detection", "Multi-agent systems", "LLM fine-tuning", "Mentoring", "Machine learning", "GenAI", "LLMs", "Financial analysis", "Financial Insights", "Financial Actions", "Accounting research", "Financial research", "Financial domain", "Accounting", "Finance", "Financial transactions", "Financial processes", "scikit-learn", "Spark MLLib", "Tensorflow", "Hadoop", "Spark" ], "skillCount" : 26, "jobCategory" : "data", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69fab9fc4c40e2acd17a839c", "title" : "Program Manager, Customer Experience and Insights Team", "company" : "Amazon.com Services LLC", "industry" : "Project/Program/Product Management--Non-Tech, Program Management, alexa and amazon devices", "salary" : { "min" : 74200.0, "max" : 129800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Hawthorne, California, USA", "locations" : [ "Hawthorne, California, USA" ], "timestamp" : "2026-06-15T01:47:27.490", "fingerprint" : "bcd0e336b4fe7548791e2152ebf3942837a72fc8aa73015b560b98bfbc1ac1b5", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10412060/apply", "externalId" : "f2f45f95-f3c1-420e-9b49-a6e49dfc6b4c", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hawthorne", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.9128272,-118.3426122" } ], "locationText" : "Hawthorne, California, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "AI, Machine learning, Generative AI, Automation", "professionalSkills" : [ "Customer experience", "Data intelligence", "Stakeholder management", "AI strategy", "Operational efficiency", "Program execution", "Process optimization", "Change management", "AI adoption" ], "hardSkillsList" : [ "Root cause analysis", "Data analysis", "Workflow design", "Process implementation", "Performance measurement", "Risk identification" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Root cause analysis", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Workflow design", "level" : "intermediate" }, { "name" : "Process implementation", "level" : "intermediate" }, { "name" : "Performance measurement", "level" : "intermediate" }, { "name" : "Risk identification", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "AI-powered insights, Cross-functional execution, Customer experience transformation", "majorSkillsList" : [ "AI-powered insights", "Cross-functional execution", "Customer experience transformation" ], "coreResponsibilities" : "Leverage generative AI tools daily, Develop AI-assisted workflows, Apply machine learning to analyze data, Pioneer new AI applications, Train partners on AI adoption, Manage programs/projects, Analyze operational data, Drive continuous improvement, Define program requirements, Mobilize teams, Drive goal achievement, Design scalable SOPs, Design intake workflows, Design program frameworks, Optimize cross-team processes, Implement change management, Measure performance using KPIs, Balance time, quality, resource trade-offs, Identify risks, Escalate appropriately, Mentor junior team members, Build team AI capability, Partner with cross-functional teams, Prepare executive-level analytics, Prepare executive-level reporting, Lead stakeholders through process transitions, Communicate program status, Communicate program risks, Communicate program decisions, Facilitate meetings, Facilitate working sessions, Facilitate decision-making forums, Build cross-functional partnerships, Track performance against goals, Analyze performance against goals, Optimize performance against goals", "teamCollaboration" : "Cross-functional teams; Product teams; Engineering teams; Finance teams; Operations teams", "projectManagementSkills" : [ "Program management", "Project management", "Change management" ], "domainKnowledge" : "Customer support operations; Contact center environments; Consumer electronics; Smart home technology; Subscription services", "domainList" : [ "customer-support-operations", "contact-center-environments", "consumer-electronics", "smart-home-technology", "subscription-services" ], "domainSpecificKnowledge" : [ "Customer support operations", "Contact center environments", "Consumer electronics", "Smart home technology", "Subscription services" ], "toolProficiency" : [ "Amazon Quick Suite", "Bedrock", "PartyRock", "JIRA", "Confluence", "Asana" ], "communicationSkills" : "Executive presentations; Reporting", "documentationSkills" : "Documentation development", "innovationCreativity" : "AI innovation", "problemSolvingSkills" : "Root cause analysis; Data-driven decision making", "outcomesObjectives" : "Reduce friction; Elevate customer experience; Improve efficiency; Reduce delivery timelines", "qualificationsBasic" : "3+ years program/project management, Cross-functional tech/non-tech teams, Use data/metrics for improvements, Apply AI tools to workflows, Analyze operational/business data, Design/implement AI-enabled SOPs, Partner with cross-functional teams, Lead process transitions, Written/verbal communication skills, Present program status to leadership", "qualificationsPreferred" : "Pilot AI-assisted workflows, Business operations background, Define/track operational KPIs, Familiarity with consumer electronics, Lean/Six Sigma experience, Influence senior stakeholders, Assess resource trade-offs, Manage program goals with AI tracking", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Ring and Blink teams are making neighborhoods safer with innovative security products and services — from the Doorbells and Cameras to endless features accessed in the App’s. The Ring and Blink Customer Support teams help bring this mission to life every day by supporting our neighbors at every point in their journey with us. The Customer Experience & Insights Team (CEIT) is pioneering AI-driven customer experience transformation. We leverage artificial intelligence, machine learning, and automation to identify and resolve root causes of customer contacts at scale — from purchase and first product setup, to subscribing to a Protect Plan, and everything in between. By combining AI-powered insights with strategic execution, CEIT drives meaningful improvements that reduce friction and elevate the overall customer experience. As a Program Manager on CEIT, you will be an AI-forward practitioner who sits at the intersection of artificial intelligence, customer insights, and cross-functional execution. This role is responsible for designing and driving resolution of customer contact drivers and pain points through AI-powered data intelligence, machine learning-assisted workflows, scalable automation frameworks, and strategic stakeholder management. You will leverage generative AI tools daily to accelerate decision-making, surface hidden patterns in customer data, and build intelligent workflows that scale across the organization. Your tactical execution and AI-enabled cross-functional collaboration will directly impact Ring and Blink's ability to deliver an exceptional customer experience — at scale. Key job responsibilities AI Strategy & Innovation: Leverage generative AI tools (Amazon Quick Suite, Bedrock, PartyRock) daily to identify root causes, surface insights, and accelerate decision-making. Develop AI-assisted workflows and intelligent automation that scale organization-wide as best practices. Apply machine learning to analyze customer contact data at scale, identifying defects and patterns impossible to detect manually. Pioneer new AI applications within CEIT and contribute to team AI strategy development. Train cross-functional partners on AI adoption and champion AI-forward problem-solving. Stay current on emerging AI/ML technologies to enhance operational efficiency and customer experience Program Management & Execution: Manage small-to-medium programs and complex cross-team projects with limited oversight. Analyze operational data to identify trends, root causes, and improvement opportunities. Drive continuous improvement by identifying inefficiencies, defects, and customer pain points. Define program requirements, mobilize teams, and drive goal achievement. Design scalable SOPs, intake workflows, and program frameworks. Optimize cross-team processes to improve efficiency and delivery timelines. Implement change management strategies and measure performance using KPIs. Balance time, quality, and resource trade-offs while identifying risks and escalating appropriately. Mentor junior team members and build team AI capability through hands-on training. Stakeholder Engagement & Communication: Partner with cross-functional teams (Product, Engineering, Finance, Operations) to align priorities. Prepare executive-level analytics and reporting weekly and monthly for VP and C-suite stakeholders. Lead stakeholders through process transitions with training and documentation. Communicate program status, risks, and decisions to leaders up to three tiers above level. Facilitate meetings, working sessions, and decision-making forums. Build cross-functional partnerships to amplify program impact. Track, analyze, and optimize performance against established goals. Basic Qualifications: - 3+ years of program or project management experience - Experience working cross functionally with tech and non-tech teams - Experience using data and metrics to determine and drive improvements - Hands-on experience applying AI tools (e.g., generative AI, machine learning platforms, automation software) to operational workflows, reporting, or decision-making processes with measurable efficiency gains - Demonstrated ability to analyze operational and business performance data (e.g., KPIs, SLAs, cost metrics) to identify trends, surface root causes, and develop actionable recommendations - Proven experience designing, documenting, and implementing AI-enabled SOPs, intelligent intake workflows, and automated operational frameworks that improve efficiency and reduce friction - Track record of partnering with cross-functional teams (Finance, Product, Engineering, Operations) to align on priorities and drive program outcomes without direct authority - Experience leading teams and stakeholders through process transitions, including training development, documentation, and adoption tracking - Strong written and verbal communication skills with demonstrated ability to present program status, risks, and recommendations to senior leadership (3+ tiers above level) - Proficiency with AI-enhanced project management tools such as JIRA, Confluence, Asana, or equivalent platforms for tracking milestones, dependencies, and deliverables Preferred Qualifications: - Experience contributing to or piloting AI-assisted workflows, automation initiatives, or emerging technology adoption within an operations context - Background in business operations, customer support operations, or contact center environments with measurable impact on efficiency or cost reduction - Metrics & AI-Powered Experience defining and tracking operational KPIs using AI-generated dashboards, machine learning insights, and adjusting programs based on predictive analytics - Familiarity with consumer electronics, smart home technology, subscription services, or similar high-volume customer-facing businesses leveraging AI for customer experience improvement - Exposure to Lean, Six Sigma, or similar continuous improvement methodologies combined with AI/automation applications in business operations - Demonstrated ability to influence senior stakeholders and drive alignment across technical and non-technical audiences in ambiguous, fast-paced environments - Ability to assess resource trade-offs, identify cost-saving opportunities, and communicate financial impact of operational decisions to leadership - Experience managing program goals with AI-powered tracking and delivering weekly/monthly reporting to VP/CEO level stakeholders Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, Hawthorne - 74,200.00 - 129,800.00 USD annually", "summaryDescription" : "Program Manager, Customer Experience and Insights Team at Amazon.com Services LLC. Skills: AI-powered insights, Cross-functional execution, Customer experience transformation. Leverage generative AI tools daily. Develop AI-assisted workflows", "postedDate" : "2026-06-13T07:24:09.761", "createdAt" : "2026-06-13T07:24:09.761", "lastUpdated" : "2026-06-15T01:47:27.490", "ingestTimestamp" : "2026-06-13T07:24:09.761", "mongoId" : "69fab9fc4c40e2acd17a839c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10412060/apply", "salaryAnnualMin" : 74200, "salaryAnnualMax" : 129800, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Root cause analysis", "Data analysis", "Workflow design", "Process implementation", "Performance measurement", "Risk identification", "Leadership", "AI-powered insights", "Cross-functional execution", "Customer experience transformation", "Customer experience", "Data intelligence", "Stakeholder management", "AI strategy", "Operational efficiency", "Program execution", "Process optimization", "Change management", "AI adoption", "Program management", "Project management", "Customer support operations", "Contact center environments", "Consumer electronics", "Smart home technology", "Subscription services", "Amazon Quick Suite", "Bedrock", "PartyRock", "JIRA", "Confluence", "Asana" ], "skillCount" : 32, "jobCategory" : "project-management", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2a5c7874d8ee00a0614730", "title" : "Senior Analyst, Analytics and Insights (Programmatic)", "company" : "Zeta Global", "salary" : { "min" : 105000.0, "max" : 155000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Analyst, Analytics and Insights (Programmatic) in Virginia Beach, United States, adjusted for seniority and industry." }, "location" : "Remote - US", "locations" : [ "Remote - US" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "dbt Certified" ], "timestamp" : "2026-06-14T09:08:11.586", "fingerprint" : "b3bd118361e0fabd43f87db29b047cda1e884891e51214087dc33a2bfdc9aed0", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/zetaglobal/jobs/5795011004", "externalId" : "5795011004", "structuredLocations" : [ { "city" : "Virginia Beach", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "36.8496579,-75.9760751" } ], "locationText" : "Virginia Beach, Virginia, United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI, Python, R, Scala, Spark, SQL, Snowflake, BigQuery, Redshift, Databricks, dbt, Fivetran, Airflow, dbt Cloud, Delta Lake, scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Marketing Cloud", "Programmatic analytics", "Customer acquisition", "Customer growth", "Customer retention", "Marketing strategy", "Data analysis", "Testing plans", "Model performance", "Measurement tools" ], "hardSkillsList" : [ "Statistical analysis", "Regression analysis", "Classification analysis", "Clustering analysis", "Time-series analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Regression analysis", "level" : "intermediate" }, { "name" : "Classification analysis", "level" : "intermediate" }, { "name" : "Clustering analysis", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data science, Data engineering, ML/AI, Business intelligence, Analytics engineering, Quantitative analysis", "majorSkillsList" : [ "Data science", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis" ], "coreResponsibilities" : "Provide actionable insights, Partner with Sales, Partner with Customer Success, Monitor optimization platform, Design Brand Optimization surveys, Introduce humanly designed segments, Deliver insight presentations, Lead marketing strategy discussions, Provide feedback to Product, Provide feedback to Engineering, Advance reliability of campaigns, Advance reach of campaigns, Advance effectiveness of campaigns, Communicate campaign strategy, Review campaign insights, Interpret insights, Understand client business challenges, Design analytic plans, Design testing plans, Derive actionable intelligence, Own campaign performance, Own reporting insights, Recommend optimization opportunities, Run additional channels, Update targeting strategy, Pitch new analyses, Review model performance, Design tests, Implement tests, Evaluate model performance, Evaluate feature performance, Determine measurement tools, Determine measurement products, Develop measurement tools, Develop measurement solutions, Consult with clients", "teamCollaboration" : "Internal teams; External customers; Product teams; Engineering teams; Sales teams; Customer Success teams", "domainKnowledge" : "Programmatic marketing; AI-powered marketing; Consumer signals; Omnichannel activation; Proprietary databases; Marketing personalization; Real-time bidding", "domainList" : [ "programmatic-marketing", "ai-powered-marketing", "consumer-signals", "omnichannel-activation", "proprietary-databases", "marketing-personalization", "real-time-bidding" ], "domainSpecificKnowledge" : [ "Programmatic marketing", "AI-powered marketing", "Consumer signals", "Omnichannel activation", "Proprietary databases", "Marketing personalization", "Real-time bidding" ], "toolProficiency" : [ "Zeta Marketing Platform", "Optimization platform" ], "communicationSkills" : "Story-telling interpretation; Insight presentations; Marketing strategy discussions; Client communication", "innovationCreativity" : "Develop innovative tools; Develop innovative solutions", "problemSolvingSkills" : "Analytical skills; Problem solving", "outcomesObjectives" : "Boost model exploration; Boost model learning; Advance reliability; Advance reach; Advance effectiveness; Help client business challenges; Help client business objectives", "qualificationsBasic" : "5+ years experience, SQL proficiency, Bachelor's degree", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, dbt Certified", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "WHO WE ARE Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com. THE ROLE The Programmatic Analytics and Strategy team at Zeta Global provide actionable insights to both external customers and internal teams. For external customers, analysts partner with Sales and Customer Success teams to monitor our optimization platform, design Real-time Brand Optimization surveys, introduce humanly designed segments to boost model exploration and learning, and deliver actionable insight presentations and lead marketing strategy discussions with clients. For internal teams, they provide feedback to our Product and Engineering teams on automation and model features to advance the reliability, reach, and effectiveness of programmatic campaigns. Depending on your location, this role could be hybrid (NYC, Nashville, LA, San Francisco) or remote. Responsibilities: Client-facing lead responsible for communication campaign strategy, reviewing campaign-based insights and providing a story-telling interpretation to provided insights Work with clients to understand key business challenges and design analytic and testing plans to derive actionable intelligence. Own campaign performance and reporting insights while recommending opportunities for optimization (ex. running additional channels, updating current targeting strategy, pitching new analyses to help with client’s business challenges/objectives). Reviewing performance of models across revenue, performance, and pacing. Design and implement tests to evaluate model and feature performance. Working with internal teams and stakeholders to determine measurement tools and products are appropriate for addressing client business challenges. Develop innovative measurement tools and solutions Consult with clients regarding development nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression. We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here: https://zetaglobal.com/blog/a-look-into-zetas-ergs/ ZETA IN THE NEWS! https://zetaglobal.com/press/?cat=press-releases #LI-MR1", "summaryDescription" : "Senior Analyst, Analytics and Insights (Programmatic) at Zeta Global. Skills: Data science, Data engineering, ML/AI, Business intelligence, Analytics engineering, Quantitative analysis. Provide actionable insights. Partner with Sales", "postedDate" : "2026-06-11T18:48:53.693", "createdAt" : "2026-06-11T18:48:53.693", "lastUpdated" : "2026-06-14T09:08:11.586", "ingestTimestamp" : "2026-06-11T18:48:53.693", "mongoId" : "6a2a5c7874d8ee00a0614730", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 105000, "salaryAnnualMax" : 155000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Statistical analysis", "Regression analysis", "Classification analysis", "Clustering analysis", "Time-series analysis", "A/B testing", "Causal inference", "Data science", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Marketing Cloud", "Programmatic analytics", "Customer acquisition", "Customer growth", "Customer retention", "Marketing strategy", "Data analysis", "Testing plans", "Model performance", "Measurement tools", "Programmatic marketing", "AI-powered marketing", "Consumer signals", "Omnichannel activation", "Proprietary databases", "Marketing personalization", "Real-time bidding", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "dbt Certified", "Zeta Marketing Platform", "Optimization platform" ], "skillCount" : 36, "jobCategory" : "other", "jobSubcategory" : "data-science-&-analytics", "dataQualityScore" : 0.8888889, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2b1dfe74d8ee00a077736f", "title" : "Head of Product Development & Business Performance", "company" : "NBC", "industry" : "Financial Services", "salary" : { "min" : 1.2E8, "max" : 1.8E8, "currency" : "TZS", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Manager in Banking in Tanzania, adjusted for company size and seniority." }, "location" : "Tanzania", "locations" : [ "Tanzania" ], "certifications" : [ "Certified Public Accountant (CPA)" ], "timestamp" : "2026-06-15T00:23:52.603", "fingerprint" : "d606fca9732b75cd3e12fccebc1756dc322635ab2d2943c9ab3ffeb35577919e", "source" : "workday", "language" : "en", "applyUrl" : "https://absa.wd3.myworkdayjobs.com/NBC_Careers/job/Head-Office-NBC/Head-of-Product-Development---Business-Performance_R-15987420-1", "externalId" : "R-15987420", "industryFunction" : { }, "locationPoint" : "-6.369,34.8888", "structuredLocations" : [ { "country" : "Tanzania", "continent" : "af", "workMode" : "onsite" } ], "locationText" : "Tanzania", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceLevel" : "Manager", "professionalSkills" : [ "Business acumen", "Financial acumen", "Performance management", "Product development", "Lifecycle management", "Strategic thinking", "Stakeholder management", "People management" ], "hardSkillsList" : [ "Data analytics", "Pricing", "Cost management", "Revenue optimization", "Budgeting", "Forecasting", "Business planning" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Data analytics", "level" : "intermediate" }, { "name" : "Pricing", "level" : "intermediate" }, { "name" : "Cost management", "level" : "intermediate" }, { "name" : "Revenue optimization", "level" : "intermediate" }, { "name" : "Budgeting", "level" : "intermediate" }, { "name" : "Forecasting", "level" : "intermediate" }, { "name" : "Business planning", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Business Performance, Product Development, Retail Banking", "majorSkillsList" : [ "Business Performance", "Product Development", "Retail Banking" ], "coreResponsibilities" : "Lead performance management for Retail Banking, Develop retail KPIs, Monitor retail KPIs, Track performance against budget, Identify performance gaps, Drive corrective actions, Partner with sales teams, Drive customer growth, Provide data insights, Lead product design, Develop retail banking products, Review retail products, Enhance retail products, Ensure customer-centric products, Ensure competitive products, Ensure profitable products, Own product lifecycle management, Coordinate product approvals, Drive product innovation, Drive product digitization, Ensure product profitability, Ensure cost efficiency, Monitor product performance, Monitor business performance, Support budgeting processes, Support forecasting processes, Support business planning, Act as liaison, Provide business direction, Provide performance guidance, Support Executive Management, Ensure product compliance, Ensure initiative compliance, Manage risk, Ensure sustainability, Support audits", "teamCollaboration" : "Partner with Branch Banking; Partner with Digital Banking; Partner with Sales teams; Liaison with Finance; Liaison with Risk; Liaison with Operations; Liaison with IT; Liaison with Compliance; Liaison with Digital teams", "domainKnowledge" : "Retail Banking; Business Performance; Product Management; Regulatory requirements; Risk appetite", "domainList" : [ "retail-banking", "business-performance", "product-management", "regulatory-requirements", "risk-appetite" ], "domainSpecificKnowledge" : [ "Retail Banking", "Business Performance", "Product Management", "Regulatory requirements", "Risk appetite" ], "communicationSkills" : "Presentation skills", "problemSolvingSkills" : "Analytical thinking", "outcomesObjectives" : "Drive retail business growth; Drive retail business profitability; Drive retail business efficiency; Achieve revenue targets; Achieve margin targets; Achieve cost targets; Ensure product sustainability", "qualificationsBasic" : "Bachelor's in Business, Finance, Economics, Certified Public Accountant (CPA), 5 years Retail Banking experience, 3 years management experience", "qualificationsPreferred" : "Master's degree", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "NBC is the oldest serving bank in Tanzania with over five decades of experience. We offer a range of retail, business, corporate and investment banking, wealth management products and services. **_Job Summary_** The Retail Banking Business Performance Manager & Product Development (VP) is responsible for driving retail business growth, profitability, and efficiency through rigorous performance management, analytics, and the development of competitive retail products. The role ensures alignment of retail strategy with NBC Bank overall business objectives, while delivering customer-centric, compliant, and commercially viable products across all retail channels. **Job Description** **Business Performance Management (30%)** * Lead end-to-end performance management for the Retail Banking business, including assets, liabilities, non-funded income, customer acquisition, and portfolio quality. * Develop and monitor retail KPIs, scorecards, dashboards, and management reports for Executive Management and Board consumption. * Track performance against budget, STP, and strategic initiatives, identifying gaps and driving corrective actions with business owners. * Partner with Branch Banking, Digital Banking, and Sales teams to drive productivity, activation, and growth of retail customers. * Provide insights through data analytics to support decision-making, business optimization, and resource allocation. **Product Development & Management (25%)** * Lead the design, development, review, and enhancement of retail banking products including deposits, lending, payments, cards, agency banking, and digital products. * Ensure product offerings are customer-centric, competitive, profitable, and aligned with market trends and customer needs. * Own the product lifecycle management process from concept, pricing, approval, launch, performance tracking, to review and exit. * Coordinate product approvals with internal governance structures, including risk, compliance, legal, finance, and ALCO where applicable. * Drive innovation and digitization of retail products to support customer experience and operational efficiency. **Financial & Commercial Oversight (25%)** * Ensure profitability and cost efficiency of retail products and initiatives through pricing, cost management, and revenue optimization. * Monitor product and business performance to ensure achievement of revenue, margin, and cost targets. * Support budgeting, forecasting, and business planning processes for Retail Banking. **Stakeholder Management (10%)** * Act as a key liaison between Retail Banking, Finance, Risk, Operations, IT, Compliance, and Digital teams. * Provide clear business direction and performance guidance to branches, sales teams, and service centers. * Support Executive Management with strategic insights, presentations, and performance updates. **Governance, Risk & Compliance (10%)** * Ensure all retail products and performance initiatives comply with regulatory requirements, internal policies, and risk appetite. * Monitor product performance and portfolio trends to proactively manage risk and ensure sustainability. * Support internal and external audits by providing accurate performance data and product documentation. **Key Performance Indicators (KPIs)** * Retail assets and liabilities growth * Revenue and non-funded income performance * Customer acquisition and activation metrics * Product profitability and uptake * Cost-to-income ratio (Retail) * Portfolio quality and risk indicators * Timely delivery of product initiatives **Key Competencies & Skills** * Strong business and financial acumen * Advanced analytical and performance management skills * Product development and lifecycle management expertise * Strategic thinking and execution focus * Stakeholder and people management skills * Excellent communication and presentation skills **Qualifications & Experience** * Bachelor’s degree in Business, Finance, Economics, or related field (Master’s degree is an added advantage). * Certified Public Accountant (CPA) or Equivalent Qualifications * 5 years’ experience in Retail Banking, Finance, Business Performance, or Product Management, with at least 3 years at management level. **Qualifications** Analytical Thinking - Advanced (Meets all of the requirements), Bachelor`s Degrees and Advanced Diplomas - Business, Commerce and Management Studies, Commercial mindset - Senior (Meets all of the requirements), Customer Excellence - Service Management (Meets all of the requirements), Digital familiarity (Meets all of the requirements), Experience in a similar environment at management level, Leading people - Leadership level (Meets all of the requirements), Openness to change (Meets some of the requirements and would need further development)", "summaryDescription" : "Head of Product Development & Business Performance at NBC. Skills: Business Performance, Product Development, Retail Banking. Lead performance management for Retail Banking. Develop retail KPIs", "postedDate" : "2026-06-12T06:55:59.172", "createdAt" : "2026-06-12T06:55:59.159", "lastUpdated" : "2026-06-15T00:23:52.603", "ingestTimestamp" : "2026-06-12T06:55:59.159", "mongoId" : "6a2b1dfe74d8ee00a077736f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://absa.wd3.myworkdayjobs.com/NBC_Careers/job/Head-Office-NBC/Head-of-Product-Development---Business-Performance_R-15987420-1", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data analytics", "Pricing", "Cost management", "Revenue optimization", "Budgeting", "Forecasting", "Business planning", "Leadership", "Business Performance", "Product Development", "Retail Banking", "Business acumen", "Financial acumen", "Performance management", "Product development", "Lifecycle management", "Strategic thinking", "Stakeholder management", "People management", "Product Management", "Regulatory requirements", "Risk appetite", "Certified Public Accountant (CPA)" ], "skillCount" : 23, "jobCategory" : "product", "seniorityLevel" : "director", "dataQualityScore" : 1.0, "daysOld" : 2, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Financial Services" }, { "id" : "69fe94fc4c40e2acd1121725", "title" : "Software Development Engineer, AWS Insights and Optimizations", "company" : "Amazon Development Center U.S., Inc.", "industry" : "Software Development, Cloud Computing", "salary" : { "min" : 158000.0, "max" : 213800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-15T02:09:57.003", "fingerprint" : "324ed28eb3aa231d5d5c907f3de178db6d3fe16d86b5245da8a375d9689c6309", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10415439/apply", "externalId" : "2878face-e9f9-418b-9dd5-9c9a98f1d4b9", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "C#, C++, Java, Perl, GenAI, ML", "professionalSkills" : [ "System design", "Reliability", "Scaling", "Cost management", "Cost optimization", "Cost forecasting", "Cost estimation" ], "hardSkillsList" : [ "Distributed systems", "High-availability systems", "Automated ticket triage", "Pipeline remediation", "Test generation", "Deployment validation" ], "hardSkills" : [ { "name" : "Distributed systems", "level" : "intermediate" }, { "name" : "High-availability systems", "level" : "intermediate" }, { "name" : "Automated ticket triage", "level" : "intermediate" }, { "name" : "Pipeline remediation", "level" : "intermediate" }, { "name" : "Test generation", "level" : "intermediate" }, { "name" : "Deployment validation", "level" : "intermediate" } ], "majorSkills" : "AWS, Cost management, Distributed systems", "majorSkillsList" : [ "AWS", "Cost management", "Distributed systems" ], "coreResponsibilities" : "Design distributed services, Build distributed services, Operate distributed services, Improve operational health, Resolve tickets, Respond to on-call, Drive engineering efficiency, Automate ticket triage, Automate pipeline remediation, Automate test generation, Automate deployment validation, Contribute to S-Team commitments, Collaborate with science teams, Productionize research innovations, Write clean code, Write efficient code, Write well-tested code, Deliver scalable systems, Demonstrate ownership of problems", "teamCollaboration" : "Cross-functional teams; Science teams; Applied Scientists", "domainKnowledge" : "AWS Billing; Cost management; Cost anomaly detection; Pricing calculator; Alerts; Forecasting; Heimdall; AWS partitions; FinOps", "domainList" : [ "aws-billing", "cost-management", "cost-anomaly-detection", "pricing-calculator", "alerts", "forecasting", "heimdall", "aws-partitions", "finops" ], "domainSpecificKnowledge" : [ "AWS Billing", "Cost management", "Cost anomaly detection", "Pricing calculator", "Alerts", "Forecasting", "Heimdall", "AWS partitions", "FinOps" ], "continuousLearning" : "Learn Gen AI/ML technologies; Learn engineering best practices", "innovationCreativity" : "Experiment; Innovate", "problemSolvingSkills" : "Complex technical problems", "specialRequirements" : "On-call response", "qualificationsBasic" : "3+ years software development experience, 2+ years system design/architecture experience, 1+ years software development engineer experience, 1+ years designing distributed software applications, Experience with full SDLC, Bachelor's degree or foreign equivalent", "qualificationsPreferred" : "3+ years full SDLC experience, Bachelor's degree in computer science, Experience with AI/ML technologies, Familiarity with cost management domains, Familiarity with billing domains, Familiarity with FinOps domains", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are looking for a Software Development Engineer to join the Hex team within AWS Insights and Optimizations. This team owns the execution plane and data plane for AWS Billing and cost management — the services that power Budgets, Cost Anomaly Detection, Pricing Calculator, Alerts, Forecasting, and Heimdall across all AWS partitions globally. You will work on high-scale, high-availability distributed systems that process cost data for millions of AWS accounts. The services you own directly impact how customers monitor, control, and optimize their AWS spending. You will also have the opportunity to apply GenAI tooling to reduce operational toil, improve pipeline health, and build automation that scales the team's impact Key job responsibilities What you'll do * Design, build, and operate distributed services that power AWS cost management across all 8 AWS partitions * Own and improve the operational health of high-volume services — pipeline deployments, ticket resolution, on-call response, and automated testing * Drive engineering efficiency through automation — automated ticket triage, pipeline remediation, test generation, and deployment validation * Contribute to our S-Team commitments for Cost Monitoring and Estimation Products * Collaborate with science teams on ML-powered cost forecasting and anomaly detection models * Write clean, efficient, and well-tested code while collaborating with cross-functional teams to deliver scalable systems. * Collaborate with Applied Scientists to productionize research innovations while ensuring system reliability, performance, and cost efficiency. * Demonstrate strong ownership of complex technical problems spanning multiple services and teams. * Continuously learn new Gen AI/ML technologies and engineering best practices while demonstrating Amazon's Leadership Principles, particularly Ownership and Deliver Results, in daily work. About the team We are a collaborative, highly-motivated group within AWS Insights & Organizations. We are entrepreneurial with a high degree of ownership and a commitment to experiment and innovate. We encourage diversity of opinion and welcome dissent with respect and thoughtful debate as we search for the best solutions - and we'd love to hear yours. This is an opportunity to think about big problems that impact millions of our AWS customers and solve them with our collective ingenuity, all while engaging various teams across our broader org. You will join a team at the center of AWS cost management — the services that every customer interacts with when they set budgets, receive anomaly alerts, or forecast their AWS spend. Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 1+ years of software development engineer or related occupational experience - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - Experience with AI/ML technologies - Familiarity with cost management, billing, or FinOps domains Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, NY, New York - 158,100.00 - 213,800.00 USD annually", "summaryDescription" : "Software Development Engineer, AWS Insights and Optimizations at Amazon Development Center U.S., Inc.. Skills: AWS, Cost management, Distributed systems. Design distributed services. Build distributed services", "postedDate" : "2026-06-13T02:16:11.198", "createdAt" : "2026-06-13T02:16:11.198", "lastUpdated" : "2026-06-15T02:09:57.003", "ingestTimestamp" : "2026-06-13T02:16:11.198", "mongoId" : "69fe94fc4c40e2acd1121725", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10415439/apply", "salaryAnnualMin" : 158000, "salaryAnnualMax" : 213800, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Distributed systems", "High-availability systems", "Automated ticket triage", "Pipeline remediation", "Test generation", "Deployment validation", "AWS", "Cost management", "System design", "Reliability", "Scaling", "Cost optimization", "Cost forecasting", "Cost estimation", "AWS Billing", "Cost anomaly detection", "Pricing calculator", "Alerts", "Forecasting", "Heimdall", "AWS partitions", "FinOps" ], "skillCount" : 22, "jobCategory" : "engineering", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2c728974d8ee00a0931026", "title" : "Learning & Development and Performance Management Officer", "company" : "Burhani Engineers Limited", "industry" : "Utilities", "salary" : { "min" : 2400000.0, "max" : 3600000.0, "currency" : "KES", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Learning & Development and Performance Management Officer in Nairobi, Kenya, adjusted for the Engineering industry and full-time employment." }, "location" : "Nairobi, Nairobi County, KE", "locations" : [ "Nairobi", "Nairobi County", "KE" ], "certifications" : [ "CHRP certification", "Occupational Health & Safety certification", "Training of Trainers (TOT) qualification", "Instructional Design or Learning & Development certifications" ], "timestamp" : "2026-06-15T02:05:42.193", "fingerprint" : "1a07cf2ab172b60a8fa8f558a370378732f792250cb7a2ffacf2fb7b0738f354", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/BurhaniEngineers/744000131863469-learning-development-and-performance-management-officer", "externalId" : "744000131863469", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Nairobi", "state" : "Nairobi County", "country" : "Kenya", "continent" : "af", "source" : "llm", "workMode" : "onsite", "geo" : "-1.2890006,36.8172812" } ], "locationText" : "Nairobi, Nairobi County, Kenya", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's Degree", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "professionalSkills" : [ "Performance management", "Talent management", "Employee relations", "Organizational development", "HR processes", "Capability development", "Training needs analysis", "Learning program design", "Compliance training management", "Organizational performance improvement", "Succession planning", "Performance appraisal process", "KPI setting", "Employee development progress", "Employee recognition", "HR administration", "Employee onboarding", "Employee confirmations", "Employee transfers", "Employee exits", "Employee documentation", "HR policies", "Labor regulations", "Employee engagement", "Employee welfare", "HR communication", "Confidentiality", "HSE training", "HSE awareness programs", "Safety inductions", "Toolbox talks", "Permit acquisition", "Certificate acquisition", "Compliance documentation", "QMS audits", "HSE audits", "Audit documentation", "Compliance evidence", "Audit findings closure", "Corrective actions", "Audit-ready records" ], "hardSkillsList" : [ "Digital learning systems", "E-learning", "Virtual learning", "Blended learning solutions", "Training tracking", "Training reporting", "Learning records management", "Training analytics", "Performance reports", "Training effectiveness monitoring", "Employee learning outcomes", "Training attendance tracking", "Completion rates tracking", "Competency improvements tracking", "Post-training evaluations", "ROI assessments", "Continuous improvement initiatives", "Performance appraisal coordination", "Performance management frameworks", "Performance review monitoring", "Appraisal timelines monitoring", "Manager guidance", "Setting KPIs", "Performance management reports", "Performance management analytics", "HR administration support", "Onboarding support", "Confirmations support", "Transfers support", "Exits support", "Employee documentation support", "HR policy compliance", "Procedure compliance", "Labor regulation compliance", "Employee engagement initiatives", "Employee welfare initiatives", "HR communication coordination", "Employee information management", "HSE training coordination", "Safety induction coordination", "Toolbox talk coordination", "Permit acquisition coordination", "Certificate acquisition coordination", "Compliance documentation coordination", "QMS audit leadership", "HSE audit leadership", "Audit documentation preparation", "Compliance evidence preparation", "Corrective action monitoring", "Record management" ], "softSkillsList" : [ "Interpersonal skills", "Employee engagement skills", "Facilitation skills" ], "hardSkills" : [ { "name" : "Digital learning systems", "level" : "intermediate" }, { "name" : "E-learning", "level" : "intermediate" }, { "name" : "Virtual learning", "level" : "intermediate" }, { "name" : "Blended learning solutions", "level" : "intermediate" }, { "name" : "Training tracking", "level" : "intermediate" }, { "name" : "Training reporting", "level" : "intermediate" }, { "name" : "Learning records management", "level" : "intermediate" }, { "name" : "Training analytics", "level" : "intermediate" }, { "name" : "Performance reports", "level" : "intermediate" }, { "name" : "Training effectiveness monitoring", "level" : "intermediate" }, { "name" : "Employee learning outcomes", "level" : "intermediate" }, { "name" : "Training attendance tracking", "level" : "intermediate" }, { "name" : "Completion rates tracking", "level" : "intermediate" }, { "name" : "Competency improvements tracking", "level" : "intermediate" }, { "name" : "Post-training evaluations", "level" : "intermediate" }, { "name" : "ROI assessments", "level" : "intermediate" }, { "name" : "Continuous improvement initiatives", "level" : "intermediate" }, { "name" : "Performance appraisal coordination", "level" : "intermediate" }, { "name" : "Performance management frameworks", "level" : "intermediate" }, { "name" : "Performance review monitoring", "level" : "intermediate" }, { "name" : "Appraisal timelines monitoring", "level" : "intermediate" }, { "name" : "Manager guidance", "level" : "intermediate" }, { "name" : "Setting KPIs", "level" : "intermediate" }, { "name" : "Performance management reports", "level" : "intermediate" }, { "name" : "Performance management analytics", "level" : "intermediate" }, { "name" : "HR administration support", "level" : "intermediate" }, { "name" : "Onboarding support", "level" : "intermediate" }, { "name" : "Confirmations support", "level" : "intermediate" }, { "name" : "Transfers support", "level" : "intermediate" }, { "name" : "Exits support", "level" : "intermediate" }, { "name" : "Employee documentation support", "level" : "intermediate" }, { "name" : "HR policy compliance", "level" : "intermediate" }, { "name" : "Procedure compliance", "level" : "intermediate" }, { "name" : "Labor regulation compliance", "level" : "intermediate" }, { "name" : "Employee engagement initiatives", "level" : "intermediate" }, { "name" : "Employee welfare initiatives", "level" : "intermediate" }, { "name" : "HR communication coordination", "level" : "intermediate" }, { "name" : "Employee information management", "level" : "intermediate" }, { "name" : "HSE training coordination", "level" : "intermediate" }, { "name" : "Safety induction coordination", "level" : "intermediate" }, { "name" : "Toolbox talk coordination", "level" : "intermediate" }, { "name" : "Permit acquisition coordination", "level" : "intermediate" }, { "name" : "Certificate acquisition coordination", "level" : "intermediate" }, { "name" : "Compliance documentation coordination", "level" : "intermediate" }, { "name" : "QMS audit leadership", "level" : "intermediate" }, { "name" : "HSE audit leadership", "level" : "intermediate" }, { "name" : "Audit documentation preparation", "level" : "intermediate" }, { "name" : "Compliance evidence preparation", "level" : "intermediate" }, { "name" : "Corrective action monitoring", "level" : "intermediate" }, { "name" : "Record management", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Interpersonal skills" }, { "name" : "Employee engagement skills" }, { "name" : "Facilitation skills" } ], "majorSkills" : "Learning & Development, Performance Management, HR Administration, HSE Compliance", "majorSkillsList" : [ "Learning & Development", "Performance Management", "HR Administration", "HSE Compliance" ], "coreResponsibilities" : "Conduct annual and periodic Training Needs Analysis (TNA), Develop and implement annual learning and development plans, Design competency development frameworks, Design employee capability-building initiatives, Formulate targeted learning interventions, Facilitate employee onboarding, induction, and orientation programs, Organize regulatory, compliance, technical, leadership, and soft-skills training, Ensure timely execution of all mandatory and statutory, Develop training calendars, Ensure adherence to schedules, Coordinate internal and external training programs, Manage and optimize Learning Management Systems (LMS), Manage and optimize digital learning platforms, Automate training tracking, Automate reporting, Automate learning records, Promote e-learning, Promote virtual learning, Promote blended learning solutions, Maintain accurate training databases, Maintain learning records, Generate training analytics, Generate performance reports, Monitor training effectiveness, Monitor employee learning outcomes, Track training attendance, Track completion rates, Track competency improvements, Conduct post-training evaluations, Conduct ROI assessments, Research continuous improvement initiatives for learning programs, Recommend continuous improvement initiatives for learning programs, Improve employee engagement in learning activities, Improve employee participation in learning activities, Coordinate the organization’s performance appraisal process, Liaise with the HR Manager to develop performance, Liaise with the HR Manager to implement performance, Monitor completion of performance reviews, Monitor appraisal timelines, Guide managers in setting KPIs, Guide managers in setting employee development objectives, Track performance improvement plans, Track employee development progress, Generate performance management reports, Generate performance management analytics, Support implementation of employee recognition initiatives, Support implementation of employee development initiatives, Support onboarding, Support confirmations, Support transfers, Support exits, Support employee documentation, Ensure compliance with HR policies, Ensure compliance with HR procedures, Ensure compliance with labor regulations, Carry out employee engagement initiatives, Carry out employee welfare initiatives, Coordinate HR communication, Manage employee information, Ensure confidentiality of employee information, Coordinate HSE training programs, Coordinate HSE awareness programs, Support implementation of workplace health and safety policies, Conduct safety inductions, Conduct toolbox talks, Coordinate the acquisition of permits, Coordinate the acquisition of certificates, Coordinate the acquisition of compliance documentation, Lead internal QMS audits, Lead external QMS audits, Lead internal HSE audits, Lead external HSE audits, Coordinate preparation of audit documentation, Coordinate preparation of compliance evidence, Monitor closure of audit findings, Monitor closure of corrective actions, Ensure training records are audit-ready, Ensure HR records are audit-ready", "teamCollaboration" : "Liaise with HR Manager; Guide managers", "projectManagementSkills" : [ "Program management", "Training program management" ], "domainKnowledge" : "HSE compliance; QMS audits; HSE audits", "domainList" : [ "hse-compliance", "qms-audits", "hse-audits" ], "domainSpecificKnowledge" : [ "HSE compliance", "QMS audits", "HSE audits" ], "toolProficiency" : [ "Digital learning platforms", "HRIS", "Microsoft Office Suite" ], "communicationSkills" : "Interpersonal skills; Employee engagement skills; Facilitation skills", "documentationSkills" : "Audit documentation; Compliance evidence; Training records; HR records", "continuousLearning" : "Continuous improvement initiatives", "problemSolvingSkills" : "Problem-solving ability; Data analysis", "qualificationsBasic" : "Minimum 4 years’ experience, Bachelor's Degree in Human Resource Management, Organizational Development, Industrial Psychology, Business Administration, Education, CHRP certification, Occupational Health & Safety certification, Training of Trainers (TOT) qualification, Instructional Design or Learning & Development certifications, Experience using LMS, HRIS, or digital learning platforms, Exposure to HSE compliance, coordination and audit support functions, Microsoft Office Suite proficiency, Data analysis, reporting and problem-solving ability, Learning & Development program management, training facilitation and coordination, Innovation and continuous improvement mindset, Excellent communication with interpersonal and employee engagement and facilitation skills, Ability to manage multiple strategic priorities in L&D initiatives, performance Management and operational HR support, Technology-driven and process improvement orientation", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Burhani Engineers Limited is one of the most reputable engineering firms in Nairobi, Kenya, with over four decades of proven excellence in the engineering industry. Established more than forty (40) years ago, the company has built a strong legacy founded on innovation, technical competence, and dependable service delivery. We specialize in delivering comprehensive engineering solutions across multiple disciplines, including electrical, mechanical, civil engineering, and instrumentation. This multidisciplinary expertise enables us to successfully undertake and execute a wide range of projects across diverse business sectors. Our strength lies in our team of highly skilled and experienced professionals who are committed to providing high-quality, reliable, and cost-effective engineering solutions tailored to meet our clients’ specific needs. Through a strong focus on quality, safety, and performance, Burhani Engineers Limited continues to be a trusted partner in engineering excellence and sustainable development. Job Purpose; The Learning & Development & Performance Management Officer is responsible for leading the organization’s employee learning and capability development agenda and driving performance management processes. The role is heavily focused on Learning & Development (L&D), including training needs analysis, learning program design, employee capability development, digital learning systems, compliance training management and organizational performance improvement. The position requires a proactive, technology-oriented, highly organized professional capable of driving employee development, improving training effectiveness and supporting organizational performance objectives. Key Responsibilities 1. Learning & Development (Primary Responsibility) Training Strategy & Planning * Conduct annual and periodic Training Needs Analysis (TNA) across departments. * Develop and implement annual learning and development plans aligned to organizational goals. * Design competency development frameworks and employee capability-building initiatives. * Formulate targeted learning interventions to support succession planning. Training Coordination & Delivery * Facilitate employee onboarding, induction, and orientation programs. * Organize regulatory, compliance, technical, leadership, and soft-skills training. * Ensure timely execution of all mandatory and statutory training requirements. * Develop training calendars and ensure adherence to schedules. * Coordinate internal and external training programs Learning Systems & Digital Training * Manage and optimize Learning Management Systems (LMS) and digital learning platforms. * Automate training tracking, reporting, and learning records. * Promote e-learning, virtual learning, and blended learning solutions. * Maintain accurate training databases and learning records. * Generate training analytics and performance reports. Training Evaluation & Performance Improvement * Monitor training effectiveness and employee learning outcomes. * Track training attendance, completion rates, and competency improvements. * Conduct post-training evaluations and ROI assessments. * Research and recommend continuous improvement initiatives for learning programs. * Improve employee engagement and participation in learning activities. B. Performance Management * Coordinate the organization’s performance appraisal process. * Liaise with the HR Manager to develop and implement the performance management frameworks. * Monitor completion of performance reviews and appraisal timelines. * Guide managers in setting KPIs and employee development objectives. * Track performance improvement plans and employee development progress. * Generate performance management reports and analytics. * Support implementation of employee recognition and development initiatives. C. HR Administration * Support onboarding, confirmations, transfers, exits, and employee documentation. * Ensure compliance with HR policies, procedures, and labor regulations. * Carry out employee engagement and welfare initiatives. * Coordinate HR communication, employee documentation, ensure confidentiality and proper management of employee information. D. HSE (Health, Safety & Environment) * Coordinate HSE training and awareness programs. * Support implementation of workplace health and safety policies. * Conduct safety inductions and toolbox talks. * Coordinate the acquisition of permits, certificates and compliance documentation. E. Audits & Compliance * Lead internal and external QMS & HSE audits. * Coordinate preparation of audit documentation and compliance evidence. * Monitor closure of audit findings and corrective actions. * Ensure training and HR records are audit-ready. ## Qualifications Qualifications & Experience * Bachelor’s Degree in Human Resource Management, Organizational Development, Industrial Psychology, Business Administration, Education. * CHRP certification * Occupational Health & Safety certification * Training of Trainers (TOT) qualification * Instructional Design or Learning & Development certifications * Experience using LMS, HRIS, or digital learning platforms. * Minimum 4 years’ experience in Learning & Development, HR Administration and performance management. * Exposure to HSE compliance, coordination and audit support functions * Microsoft Office Suite proficiency * Data analysis, reporting and problem-solving ability. * Learning & Development program management, training facilitation and coordination * Innovation and continuous improvement mindset * Excellent communication with strong interpersonal and employee engagement and facilitation skills. * Ability to manage multiple strategic priorities in L&D initiatives, performance Management and operational HR support * Technology-driven and process improvement orientation", "summaryDescription" : "Learning & Development and Performance Management Officer at Burhani Engineers Limited. Skills: Learning & Development, Performance Management, HR Administration, HSE Compliance. Conduct annual and periodic Training Needs Analysis (TNA). Develop and implement annual learning and development plans", "postedDate" : "2026-06-12T10:09:49.000", "createdAt" : "2026-06-13T12:48:14.494", "lastUpdated" : "2026-06-15T02:05:42.193", "ingestTimestamp" : "2026-06-13T12:48:14.494", "mongoId" : "6a2c728974d8ee00a0931026", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Digital learning systems", "E-learning", "Virtual learning", "Blended learning solutions", "Training tracking", "Training reporting", "Learning records management", "Training analytics", "Performance reports", "Training effectiveness monitoring", "Employee learning outcomes", "Training attendance tracking", "Completion rates tracking", "Competency improvements tracking", "Post-training evaluations", "ROI assessments", "Continuous improvement initiatives", "Performance appraisal coordination", "Performance management frameworks", "Performance review monitoring", "Appraisal timelines monitoring", "Manager guidance", "Setting KPIs", "Performance management reports", "Performance management analytics", "HR administration support", "Onboarding support", "Confirmations support", "Transfers support", "Exits support", "Employee documentation support", "HR policy compliance", "Procedure compliance", "Labor regulation compliance", "Employee engagement initiatives", "Employee welfare initiatives", "HR communication coordination", "Employee information management", "HSE training coordination", "Safety induction coordination", "Toolbox talk coordination", "Permit acquisition coordination", "Certificate acquisition coordination", "Compliance documentation coordination", "QMS audit leadership", "HSE audit leadership", "Audit documentation preparation", "Compliance evidence preparation", "Corrective action monitoring", "Record management", "Interpersonal skills", "Employee engagement skills", "Facilitation skills", "Learning & Development", "Performance Management", "HR Administration", "HSE Compliance", "Performance management", "Talent management", "Employee relations", "Organizational development", "HR processes", "Capability development", "Training needs analysis", "Learning program design", "Compliance training management", "Organizational performance improvement", "Succession planning", "Performance appraisal process", "KPI setting", "Employee development progress", "Employee recognition", "HR administration", "Employee onboarding", "Employee confirmations", "Employee transfers", "Employee exits", "Employee documentation", "HR policies", "Labor regulations", "Employee engagement", "Employee welfare", "HR communication", "Confidentiality", "HSE training", "HSE awareness programs", "Safety inductions", "Toolbox talks", "Permit acquisition", "Certificate acquisition", "Compliance documentation", "QMS audits", "HSE audits", "Audit documentation", "Compliance evidence", "Audit findings closure", "Corrective actions", "Audit-ready records", "Program management", "Training program management", "HSE compliance", "CHRP certification", "Occupational Health & Safety certification", "Training of Trainers (TOT) qualification", "Instructional Design or Learning & Development certifications", "Digital learning platforms", "HRIS", "Microsoft Office Suite" ], "skillCount" : 108, "jobCategory" : "other", "jobSubcategory" : "general-business", "dataQualityScore" : 1.0, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Engineering" }, { "id" : "6a2aa79374d8ee00a06be3cc", "title" : "Marketing Executive (Ecommerce & Product Insights)", "company" : "iGATE Technology", "industry" : "E-Learning", "salary" : { "min" : 1750000.0, "max" : 3250000.0, "currency" : "PKR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Marketing Executive in Islamabad, Pakistan, with mid-level experience in the E-Commerce industry, adjusted for company size and specific role requirements." }, "location" : "Islamabad, Islamabad Capital Territory, Pakistan", "locations" : [ "Islamabad, Islamabad Capital Territory, Pakistan" ], "timestamp" : "2026-06-14T23:34:08.638", "fingerprint" : "241ddc9cd75d8bb9667c54a4a71360134aeeed11082e0a567c06c027325680bd", "source" : "workable", "language" : "en", "applyUrl" : "https://apply.workable.com/j/DA3F7A6C43/apply", "externalId" : "DA3F7A6C43", "industryFunction" : { }, "locationPoint" : "33.72148,73.04329", "structuredLocations" : [ { "city" : "Islamabad", "state" : "Islamabad Capital Territory", "country" : "Pakistan", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "33.6938118,73.0651511" } ], "locationText" : "Islamabad, Islamabad Capital Territory, Pakistan", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Shopify", "professionalSkills" : [ "Sales analysis", "Product insights", "Market research", "Performance analysis", "Product performance", "Pricing decisions", "Bundling decisions", "Promotional decisions", "Inventory management", "Product research", "Market intelligence", "Competitor analysis", "Product positioning", "Insight development", "Product improvements", "New product opportunities", "Campaign analysis", "Product launches", "Conversion improvement", "Average order value" ], "hardSkillsList" : [ "Excel analysis", "Data cleaning", "Data organization" ], "hardSkills" : [ { "name" : "Excel analysis", "level" : "intermediate" }, { "name" : "Data cleaning", "level" : "intermediate" }, { "name" : "Data organization", "level" : "intermediate" } ], "majorSkills" : "Sales analysis, Product insights, Market research, Ecommerce marketing", "majorSkillsList" : [ "Sales analysis", "Product insights", "Market research", "Ecommerce marketing" ], "coreResponsibilities" : "Review website sections, Analyze Shopify sales data, Identify top products, Identify underperforming products, Track sales performance, Support pricing decisions, Support bundling decisions, Support promotional decisions, Align inventory with demand, Build structured reports, Maintain structured reports, Prepare performance reports, Clean raw data, Organize raw data, Conduct product research, Identify emerging trends, Identify customer pain points, Identify competitor gaps, Analyze competitor products, Translate data into insights, Provide recommendations, Improve product performance, Identify new product opportunities, Develop bundling strategies, Develop pricing strategies, Support campaign analysis, Assist with product launches, Improve conversion, Improve average order value", "teamCollaboration" : "Work with marketing teams; Work with ecommerce teams", "domainKnowledge" : "Ecommerce; Combat Sports", "domainList" : [ "ecommerce", "combat-sports" ], "domainSpecificKnowledge" : [ "Ecommerce", "Combat Sports" ], "toolProficiency" : [ "Excel", "Shopify Dashboard" ], "documentationSkills" : "Structured reports", "continuousLearning" : "Learning environment", "problemSolvingSkills" : "Data-driven decisions", "outcomesObjectives" : "Produce sales reports; Produce performance reports; Provide product recommendations; Identify product insights; Identify market opportunities; Deliver research reports; Provide clear recommendations; Improve product performance visibility; Improve market trend visibility", "qualificationsBasic" : "2+ Years Ecommerce Marketing Experience, Shopify Dashboard Expertise, Ecommerce Marketing Background", "qualificationsPreferred" : "Knowledge of Combat Sports, Exposure to AI tools", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Detail-oriented Marketing Executive to support our Shopify-based ecommerce operations for RDX Sports, which is our Combat Sports Brand. This role is focused on **sales analysis, product insights, and market research** , helping translate data into actionable decisions that improve product performance and drive revenue. You will work closely with the marketing and ecommerce teams to **analyze performance, identify trends, and support product and campaign decisions** through structured insights ### **Key Responsibilities** ### **1\\. Ecommerce & Product Performance Analysis** ● Reviewing Website Sections for aligning with the new DTC vision for the website. ● Analyze Shopify sales data to identify: ○ Top-performing and underperforming products ○ Category-level trends (e.g., gloves, wraps, accessories) ● Track daily, weekly, and monthly sales performance ● Support pricing, bundling, and promotional decisions with data ● Assist in aligning inventory with product demand ### **2\\. Reporting & Excel Analysis** ● Build and maintain structured reports using Excel (pivot tables, filters, formulas) ● Prepare weekly performance reports covering: ○ Revenue trends ○ Product-level performance ○ Key changes and anomalies ● Clean and organize raw data for decision-making ### **3\\. Product Research & Market Intelligence** ● Conduct structured product research across: ○ Competitor websites and ecommerce stores ○ Marketplaces (e.g., Amazon) ○ Online platforms such as Reddit, forums, and YouTube ● Identify: ○ Emerging product trends ○ Customer pain points and feedback ○ Gaps in competitor offerings ● Analyze competitor products in terms of pricing, features, and positioning ### **4\\. Insight Development & Recommendations** ● Translate research and data into clear, actionable insights ● Provide recommendations on: ○ Product improvements ○ New product opportunities ○ Bundling and pricing strategies ● Ensure all insights are tied to business impact (revenue, conversion, demand) ### **5\\. Marketing & Ecommerce Support** ● Support campaign analysis (basic performance review) ● Assist with product launches through research and data inputs ● Help identify opportunities to improve conversion and average order value ### **Success Metrics (First 90 Days)** ● Independently produce weekly product level sales and product performance reports along with recommendations of Products to be pushed ● Identify consistent product-level insights and opportunities ● Deliver structured weekly research reports with clear recommendations ● Improve visibility on product performance and market trends for decision-making ### **Role Scope** This role is focused on **analysis, research, and execution support**. It does not include ownership of brand strategy, creative direction, or performance marketing. **Requirements** * BBA from a top University, ideally with a major in Marketing. * 2+ Years of Ecommerce Marketing Experience. * Shopify Dashboard Expertise. * Ecommerce Marketing Background. * Knowledge of the Combat Sports is strongly preferred. * Exposure to AI tools like Claude, Higgsfield etc. will be a huge plus **Benefits** ⛽ Fuel Allowance \uD83C\uDFE5 Medical Insurance \uD83C\uDF7D Free Lunch Facility (In-house) \uD83C\uDFCB‍♂️ GYM Passport (Panel Gym's Free of Cost) \uD83D\uDCB0 Participatory Fund \uD83D\uDCB2 Market Competitive Salary \uD83D\uDCBB Learning & Challenging Work Environment \uD83D\uDC68‍\uD83D\uDCBB Amazing Work Culture \uD83D\uDEEB Paid Time off \uD83D\uDC68‍\uD83D\uDC69‍\uD83D\uDC67‍\uD83D\uDC66 Group Life Insurance ⏳ Maternity Leaves and many more", "summaryDescription" : "Marketing Executive (Ecommerce & Product Insights) at iGATE Technology. Skills: Sales analysis, Product insights, Market research, Ecommerce marketing. Review website sections. Analyze Shopify sales data", "postedDate" : "2026-06-10T00:00:00.000", "createdAt" : "2026-06-12T03:52:39.736", "lastUpdated" : "2026-06-14T23:34:08.638", "ingestTimestamp" : "2026-06-12T03:52:39.736", "mongoId" : "6a2aa79374d8ee00a06be3cc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://apply.workable.com/j/DA3F7A6C43", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Excel analysis", "Data cleaning", "Data organization", "Sales analysis", "Product insights", "Market research", "Ecommerce marketing", "Performance analysis", "Product performance", "Pricing decisions", "Bundling decisions", "Promotional decisions", "Inventory management", "Product research", "Market intelligence", "Competitor analysis", "Product positioning", "Insight development", "Product improvements", "New product opportunities", "Campaign analysis", "Product launches", "Conversion improvement", "Average order value", "Ecommerce", "Combat Sports", "Excel", "Shopify Dashboard" ], "skillCount" : 28, "jobCategory" : "other", "jobSubcategory" : "e-learning", "seniorityLevel" : "mid", "dataQualityScore" : 1.0, "daysOld" : 4, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2a6a8c74d8ee00a063c54b", "title" : "Senior Product Manager, Platform Performance & Infrastructure", "company" : "Sigma Computing", "industry" : "Technology", "salary" : { "min" : 200000.0, "max" : 280000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Product Manager, Platform Performance & Infrastructure in San Francisco, adjusted for company size and industry." }, "location" : "San Francisco, California, United States", "locations" : [ "San Francisco", "California", "United States" ], "timestamp" : "2026-06-14T22:57:09.519", "fingerprint" : "13573fa9d88fb8dda1d1dc546c3fe933413b188742ab37981ec8196c139c190c", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/sigmacomputing/jobs/7767898003", "externalId" : "7767898003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, AI", "professionalSkills" : [ "Product strategy", "Roadmap planning", "User stories", "Cross-functional collaboration", "Query execution", "Caching", "Metadata services", "Compiler components", "Agent monitoring", "Platform observability", "Warehouse connectors", "Reliability visibility", "Latency", "Concurrency", "Throughput", "Cost efficiency", "Query lifecycle", "Data connectors", "Platform extensions", "Data stack" ], "hardSkillsList" : [ "Performance challenges", "Infrastructure tradeoffs" ], "hardSkills" : [ { "name" : "Performance challenges", "level" : "intermediate" }, { "name" : "Infrastructure tradeoffs", "level" : "intermediate" } ], "majorSkills" : "Platform performance, Infrastructure", "majorSkillsList" : [ "Platform performance", "Infrastructure" ], "coreResponsibilities" : "Define product roadmap, Set platform vision, Rally stakeholders, Communicate progress, Make prioritization calls, Define agent monitoring strategy, Own platform observability infrastructure, Translate observability gaps, Build enterprise-grade reliability visibility, Ship improvements, Break down technical initiatives, Maintain momentum, Own delivery accountability, Define query lifecycle requirements, Balance performance tradeoffs, Identify query pipeline bottlenecks, Engage with enterprise customers, Translate field feedback, Act as customer advocate, Build relationships with accounts, Identify platform gaps, Address reliability challenges, Address latency challenges, Address scalability challenges, Surface platform risks, Contribute to extensibility strategy, Identify integration opportunities, Define success metrics, Track success metrics, Guide prioritization, Share platform health metrics", "teamCollaboration" : "Cross-functional teams; Engineering teams; GTM stakeholders; Platform engineering; Customer Success; Support; Sales Engineering", "projectManagementSkills" : [ "Roadmap", "Prioritization" ], "domainKnowledge" : "B2B SaaS; Data platforms; Analytics; Infrastructure; Distributed systems; Query engines; Cloud infrastructure; Observability tooling; Agent monitoring; Platform diagnostics; Data warehouse", "domainList" : [ "b2b-saas", "data-platforms", "analytics", "infrastructure", "distributed-systems", "query-engines", "cloud-infrastructure", "observability-tooling", "agent-monitoring", "platform-diagnostics", "data-warehouse" ], "domainSpecificKnowledge" : [ "B2B SaaS", "Data platforms", "Analytics", "Infrastructure", "Distributed systems", "Query engines", "Cloud infrastructure", "Observability tooling", "Agent monitoring", "Platform diagnostics", "Data warehouse" ], "communicationSkills" : "Communicate progress; Communicate tradeoffs", "problemSolvingSkills" : "Performance challenges; Infrastructure tradeoffs", "qualificationsBasic" : "4+ years product management experience, B2B SaaS experience, Data platforms experience, Analytics experience, Infrastructure experience, Developer-facing products experience, Own and deliver product roadmap, Understand databases, Understand distributed systems, Understand query engines, Understand caching, Understand APIs, Understand cloud infrastructure, Work directly with enterprise customers", "qualificationsPreferred" : "Observability tooling experience, Agent monitoring experience, Platform diagnostics experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About the Role Sigma is the AI apps and analytics platform connected to the cloud data warehouse. Using Sigma, business and technical teams can build intelligent, production-ready AI apps that accelerate and automate operational workflows. Sigma provides a spreadsheet interface, SQL and Python editors, visual builders, and native AI to help teams turn live data into interactive applications, analysis, reports, and embedded experiences. As Sigma scales to support larger enterprises and more demanding workloads, we're looking for a Senior Product Manager, Platform Performance & Infrastructure to own the foundational backend capabilities that power every Sigma experience — from query execution and caching to agent infrastructure, observability, and platform extensibility. In this role, you will own a clearly defined product roadmap and drive it end-to-end — setting the vision, sequencing priorities, and delivering outcomes across workbook performance, query lifecycle, compute and caching, metadata services, compiler components, agent monitoring, platform observability, and new warehouse connectors. You'll be a deeply embedded partner to platform engineering while staying closely connected to customers, translating real-world enterprise pain points into platform investments that scale. This role is ideal for a technically strong Senior PM who is equally comfortable diving deep into infrastructure tradeoffs and sitting across the table from enterprise customers to understand their most pressing performance challenges. Key Responsibilities Own a Product Roadmap Define and own the multi-quarter product roadmap for Sigma's platform performance and infrastructure surface area, including query execution, compute and caching, metadata services, compiler-related components, agent infrastructure, and connectors. Set a clear vision for the platform that balances near-term enterprise needs with long-term scalability investments. Rally engineering, design, and GTM stakeholders around a shared roadmap and communicate progress and tradeoffs clearly to leadership. Make active prioritization calls across competing platform investments, clearly articulating the reasoning and expected customer impact behind sequencing decisions. Build and Own Agent Monitoring & Platform Observability Define the strategy and roadmap for agent monitoring capabilities, enabling customers and internal teams to observe, debug, and optimize AI agent behavior within Sigma's platform. Own platform observability infrastructure — including logging, tracing, alerting, and diagnostic tooling — ensuring Sigma's platform surfaces actionable insights to both engineering teams and enterprise customers. Partner with engineering and Customer Success to translate observability gaps into shipped product improvements. Build the foundation for enterprise-grade reliability visibility, giving customers confidence in how their workloads are running on Sigma at scale. Drive Execution and Delivery Partner closely with engineering to scope, prioritize, and ship improvements across latency, concurrency, throughput, and cost efficiency. Break down complex technical initiatives into clear milestones and incremental wins. Maintain momentum in ambiguous, fast-moving environments with strong judgment on tradeoffs. Own delivery accountability end-to-end — from problem definition through scoping, execution, launch, and iteration. Own the Query Lifecycle Define product requirements across the full query lifecycle — from generation and compilation to execution, caching, and results delivery. Balance tradeoffs across performance, correctness, debuggability, and cost. Identify bottlenecks in the query pipeline and work with engineering to drive measurable improvements in latency and throughput. Work Closely with Customers Engage directly and regularly with enterprise customers to surface performance pain points, validate roadmap priorities, and co-develop solutions for high-scale use cases. Partner with Customer Success, Support, and Sales Engineering to translate field feedback into product requirements. Act as an internal advocate for customer needs within platform planning and prioritization forums. Build strong relationships with key enterprise accounts and use those relationships to continuously pressure-test and sharpen the platform roadmap. Support Enterprise Scale Identify platform gaps impacting large customers, high-concurrency workloads, and embedded analytics use cases. Work across teams to address real-world reliability, latency, and scalability challenges at enterprise scale. Proactively surface and address platform risks before they become customer-facing issues. Enable Extensibility Contribute to the strategy and prioritization of new data connectors and platform extensions in partnership with engineering. Identify integration opportunities that expand Sigma's reach across the modern data stack. Measure Impact Define and track success metrics related to performance, reliability, observability, and customer experience. Use data and customer feedback to guide continuous prioritization and iteration. Establish a regular cadence of sharing platform health metrics with engineering, GTM, and leadership stakeholders. Qualifications 4+ years of product management experience in B2B SaaS, data platforms, analytics, infrastructure, or developer-facing products. Demonstrated experience owning and delivering a product roadmap end-to-end across technically complex areas. Strong understanding of databases, distributed systems, query engines, caching, APIs, and cloud infrastructure. Experience with observability tooling, agent monitoring, or platform diagnostics is a strong plus. Proven track record of working directly with enterprise customers to understand needs and translate them into product decisions. Clear, concise communicator who can make complex backend topics understandable to engineering, customers, and executives alike. Ability to connect backend platform investments to tangible customer outcomes and business value. Action-oriented, adaptable, and energized by working in a fast-moving startup environment. Additional Job Details The base salary range for this position is $180k – $220k annually, plus competitive equity and benefits packages. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies, and experience. Base pay is one part of the Total Package provided to compensate and recognize employees for their work at Sigma Computing. This role is eligible for stock options, as well as a comprehensive benefits package. About us: Sigma is the AI Apps and agentic analytics platform built on the cloud data warehouse. Business and technical teams use Sigma to explore live data, build intelligent applications, and automate critical workflows all without moving data or breaking governance. Sigma supports a spreadsheet interface, SQL, Python, and native AI in a single governed workspace, giving every team the speed to act and IT the control to scale. Sigma is trusted by more than 2,000 customers, including AMD, Duolingo, Colgate-Palmolive, and JPMorgan Chase. Sigma announced its $80M in Series E financing in May 2026. The round was led by Princeville Capital, with new strategic investors Databricks Ventures, ServiceNow Ventures, and Workday Ventures participating alongside returning investors Altimeter Capital, Avenir Growth Capital, D1 Capital Partners, K5 Global, NewView Capital, Spark Capital, Sutter Hill Ventures, and XN. This milestone follows Sigma reaching $200M in annual recurring revenue in April 2026, with more than 100% year-over-year growth and 1.1 million new active users added in the latest fiscal year. Come join us! Benefits For Our Full-Time Employees: Equity Generous health benefits Flexible time off policy. Take the time off you need! Paid bonding time for all new parents Traditional and Roth 401k Commuter and FSA benefits Lunch Program Dog friendly office Sigma is an equal opportunity employer. We are committed to building a smart and strong team regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, veteran, or any other protected status. We look forward to learning how your experience can enable all of us to grow. Note: We have an in-office work environment in all our offices in SF, NYC, London and Sydney. Our Privacy Practices When you submit a job application on this site, Sigma processes your personal data for the purposes of evaluating your candidacy for employment at Sigma and as otherwise needed throughout the recruitment and hiring process. Please review Sigma’s Candidate Privacy Notice for more details. Please note that your personal data may be transferred to a country other than the one in which it was provided (including to the USA, the UK, and Canada, Australia). Sigma’s use of AI This hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.", "summaryDescription" : "Senior Product Manager, Platform Performance & Infrastructure at Sigma Computing. Skills: Platform performance, Infrastructure. Define product roadmap. Set platform vision", "postedDate" : "2026-06-11T22:25:22.744", "createdAt" : "2026-06-11T22:25:22.744", "lastUpdated" : "2026-06-14T22:57:09.519", "ingestTimestamp" : "2026-06-11T22:25:22.744", "mongoId" : "6a2a6a8c74d8ee00a063c54b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 200000, "salaryAnnualMax" : 280000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Performance challenges", "Infrastructure tradeoffs", "Platform performance", "Infrastructure", "Product strategy", "Roadmap planning", "User stories", "Cross-functional collaboration", "Query execution", "Caching", "Metadata services", "Compiler components", "Agent monitoring", "Platform observability", "Warehouse connectors", "Reliability visibility", "Latency", "Concurrency", "Throughput", "Cost efficiency", "Query lifecycle", "Data connectors", "Platform extensions", "Data stack", "Roadmap", "Prioritization", "B2B SaaS", "Data platforms", "Analytics", "Distributed systems", "Query engines", "Cloud infrastructure", "Observability tooling", "Platform diagnostics", "Data warehouse" ], "skillCount" : 35, "jobCategory" : "product", "jobSubcategory" : "product", "dataQualityScore" : 1.0, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2c7f6774d8ee00a09554f8", "title" : "Product Manager, Monitoring and Reliability Product", "company" : "Recruitis", "industry" : "Technology", "salary" : { "min" : 1800000.0, "max" : 3000000.0, "currency" : "THB", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior Product Manager in the Technology industry in Bangkok, Thailand, adjusted for manager experience and full-time employment." }, "location" : "Bangkok, Bangkok Metropolis, Thailand", "locations" : [ "Bangkok", "Bangkok Metropolis", "Thailand" ], "timestamp" : "2026-06-15T08:37:18.674", "fingerprint" : "e510b450475bf40464b1991f8d4af65c9fe7f62de11311ceeb35b07e8d0d5e3e", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/recruitis/jobs/8514592002", "externalId" : "8514592002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bangkok", "state" : "Bangkok Metropolis", "country" : "Thailand", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "13.7365376,100.5735098" } ], "locationText" : "Bangkok, Bangkok Metropolis, Thailand", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceLevel" : "Manager", "technicalSkills" : "Monitoring, Tracing, Alerting, Incident management, System visibility, Logs, Metrics, Dashboards, Alerts, Incident workflows", "professionalSkills" : [ "Product strategy", "Roadmap development", "User stories", "Cross-functional collaboration" ], "hardSkillsList" : [ "Software engineering", "SRE", "Infrastructure engineering", "Platform engineering", "Operations" ], "hardSkills" : [ { "name" : "Software engineering", "level" : "intermediate" }, { "name" : "SRE", "level" : "intermediate" }, { "name" : "Infrastructure engineering", "level" : "intermediate" }, { "name" : "Platform engineering", "level" : "intermediate" }, { "name" : "Operations", "level" : "intermediate" } ], "majorSkills" : "Product Management, Monitoring, Reliability, Incident Management", "majorSkillsList" : [ "Product Management", "Monitoring", "Reliability", "Incident Management" ], "coreResponsibilities" : "Own roadmap for monitoring, Drive roadmap for tracing, Drive roadmap for alerting, Drive roadmap for incident management, Partner with engineering teams, Partner with operational teams, Identify pain points, Prioritize improvements, Define internal platform capabilities, Evolve internal platform capabilities, Work closely with technical teams, Balance reliability, Balance scalability, Balance speed, Balance usability, Define success metrics, Measure platform impact, Measure adoption, Measure uptime, Measure incident response, Measure operational efficiency, Translate technical requirements, Create product plans, Create priorities, Create execution roadmaps, Support change management, Help teams adopt capabilities", "teamCollaboration" : "Engineering teams; Operational teams; Technical teams", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Distributed systems; Operational excellence; System health; Service monitoring; Large-scale systems; System reliability concepts", "domainList" : [ "distributed-systems", "operational-excellence", "system-health", "service-monitoring", "large-scale-systems", "system-reliability-concepts" ], "domainSpecificKnowledge" : [ "Distributed systems", "Operational excellence", "System health", "Service monitoring", "Large-scale systems", "System reliability concepts" ], "communicationSkills" : "Technical requirements", "problemSolvingSkills" : "Problem-solving", "outcomesObjectives" : "Reduce downtime", "qualificationsBasic" : "5+ years of experience, Prior hands-on experience, Understanding of monitoring concepts, Comfortable working closely with technical teams, Communication skills, Analytical skills, Problem-solving skills, Comfortable operating in complex environments", "rawDescription" : "About our client Our client is a global technology organisation with complex distributed systems and a strong focus on operational excellence. The company is investing in internal capabilities that help engineering teams better understand system health, improve reliability, and respond to production issues more effectively. About the Role We are looking for a Tech Product Manager to lead internal tools initiatives related to monitoring, tracing, incident management, and system visibility. You will work closely with engineering and operational teams to define and improve the tools, workflows, and platforms used to monitor services, detect issues, and reduce downtime. This role is ideal for someone who enjoys working on improving tech operations and has experience helping technical teams operate and support large-scale systems. Responsibilities Own and drive the roadmap for monitoring, tracing, alerting, and incident management capabilities. Partner with engineering and operational teams to identify pain points and prioritize high-impact improvements. Define and evolve internal platform capabilities related to logs, metrics, traces, dashboards, alerts, and incident workflows. Work closely with technical teams to balance reliability, scalability, speed, and usability. Define success metrics and measure platform impact, adoption, uptime, incident response, and operational efficiency. Translate technical requirements into product plans, priorities, and execution roadmaps. Support change management and help teams adopt new platform capabilities successfully. Qualifications 5+ years of experience in Product Management or a similarly technical role. Prior hands-on experience in software engineering/SRE, infrastructure, platform engineering, operations, or related technical environments. Strong understanding of monitoring, observability, logging, tracing, alerting, incident management, and system reliability concepts. Comfortable working closely with technical teams on roadmap, architecture, and delivery. Strong communication, analytical, and problem-solving skills. Comfortable operating in complex, fast-moving, and highly technical environments.", "summaryDescription" : "Product Manager, Monitoring and Reliability Product at Recruitis. Skills: Product Management, Monitoring, Reliability, Incident Management. Own roadmap for monitoring. Drive roadmap for tracing", "postedDate" : "2026-06-14T08:42:13.678", "createdAt" : "2026-06-14T08:42:13.678", "lastUpdated" : "2026-06-15T08:37:18.674", "ingestTimestamp" : "2026-06-14T08:42:13.678", "mongoId" : "6a2c7f6774d8ee00a09554f8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Software engineering", "SRE", "Infrastructure engineering", "Platform engineering", "Operations", "Product Management", "Monitoring", "Reliability", "Incident Management", "Product strategy", "Roadmap development", "User stories", "Cross-functional collaboration", "Roadmap planning", "Distributed systems", "Operational excellence", "System health", "Service monitoring", "Large-scale systems", "System reliability concepts" ], "skillCount" : 20, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7c6274d8ee00a094d4dc", "title" : "Performance Engineer", "company" : "Madison Energy Infrastructure", "industry" : "Climate Tech", "salary" : { "min" : 50000.0, "max" : 75000.0, "currency" : "PHP", "frequency" : "yearly", "is_estimated" : false }, "location" : "Philippines", "locations" : [ "Philippines" ], "timestamp" : "2026-06-15T06:51:11.467", "fingerprint" : "fc57d28023d955c3c22980e01821f9d7cc585cd76c7f149d79afccac443a331f", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/madisonenergyinfrastructure/jobs/4254897009", "externalId" : "4254897009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Philippines", "continent" : "as", "workMode" : "remote" } ], "locationText" : "Philippines", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Solar, BESS", "professionalSkills" : [ "Data analysis", "Issue summarization", "Email communication" ], "hardSkillsList" : [ "Performance analysis" ], "softSkillsList" : [ "Critical thinking", "Detail-driven" ], "hardSkills" : [ { "name" : "Performance analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Critical thinking" }, { "name" : "Detail-driven" } ], "majorSkills" : "Performance Engineering, Data Analysis", "majorSkillsList" : [ "Performance Engineering", "Data Analysis" ], "coreResponsibilities" : "Analyze portfolio performance, Manage portfolio performance, Write issue summaries, Write email communications", "teamCollaboration" : "Senior Manager of Analytics", "domainKnowledge" : "Solar assets; BESS assets", "domainList" : [ "solar-assets", "bess-assets" ], "domainSpecificKnowledge" : [ "Solar assets", "BESS assets" ], "toolProficiency" : [ "Zoom", "Slack", "Outlook", "Teams", "Dropbox", "Adobe", "Google Suite", "Multiplier" ], "communicationSkills" : "Issue summaries; Email communications", "problemSolvingSkills" : "Identify what's wrong; Proactive problem solving", "specialRequirements" : "Work U. S. Eastern hours, Occasional weekends, 50-hour workweek", "qualificationsBasic" : "5+ years experience, Personal computer (2022 or newer), Intel i5/Ryzen 5 or better, 8GB RAM minimum, 256GB SSD, Hardwired primary internet connection, Cellular backup internet, External monitor and headset", "qualificationsPreferred" : "Experience with Zoom, Experience with Slack, Experience with Outlook, Experience with Teams, Experience with Dropbox, Experience with Adobe, Experience with Google Suite", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About You We are seeking an experienced, data-driven Performance Engineer to selectively analyze and manage the performance of our growing portfolio of over 600 solar and BESS assets across the United States. You will report directly to the Senior Manager of Analytics capable of writing clear, professional issue summaries and email communications. Demonstrated critical thinking: ability to look at a dataset and identify what’s wrong before being told. Enjoys structured , detail-driven work with consistent daily patterns—perfect for someone who enjoys clear routines and predictable execution. Comfortable operating independently with minimal instruction. Organized, detail-obsessed, and proactive about solving problems before they grow. Willingness to work U. S. Eastern hours, including occasional weekends. Technical Setup Requirements Because this is a fully remote role, we require the following: Personal computer (2022 or newer) with minimum specs: Intel i5/Ryzen 5 or better, 8GB RAM minimum, 256GB SSD Hardwired primary internet connection + cellular backup (minimum +10 Mbps, <20 ms ping). External monitor and headset Familiarity with Zoom, Slack, Outlook, Teams, Dropbox, Adobe, and Google Suite Compensation & Perks Base pay: 50,000–75,000 PHP/month after taxes and fees Stipends: USD $60/month healthcare stipend + USD $40/month internet stipend (tax deductible) US holiday calendar 50-hour workweek: Monday–Friday 8am–6pm ET with 1-hour lunch Weekends as needed (<25% of weekends, around 2-3 hours per day) Employment Logistics EOR Arrangement – Employment is facilitated through Multiplier.com, an employer of record (EOR) platform that ensures compliance with local employment laws and regulations in the Philippines Payroll – Paychecks are issued by Multiplier after withholding local taxes, paid semi-monthly 13th Month Pay – Handled by Multiplier as required by local law Currency Conversion – Madison covers the cost of currency conversion Time Tracking – You will use Multiplier's built-in timesheet portal How We Work At Madison Energy Infrastructure, we believe in the power of clean energy infrastructure to drive real impact—for our customers, our partners, and the communities we serve. We’ve quickly emerged as a preeminent developer, investor, and operator of distributed generation, helping organizations across sectors meet their energy goals with certainty, speed, and trust. Our robust portfolio consists of over half a gigawatt of clean energy infrastructure projects across more than 25 states. We’re building a team that thrives on ownership and ambition. As we expand into direct, end-to-end services for Fortune 500 companies, public entities, and nonprofits alike, we rely on collaborative thinkers who bring structure to complexity, energy to execution, and curiosity to every challenge. Our environment is fast-paced and outcome-oriented—but grounded in the belief that how we work together matters as much as what we deliver. If you’re excited to shape the future of clean energy and be part of a high-performance, high-integrity team, we’d love to meet you. Madison Energy Infrastructure is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.", "summaryDescription" : "Performance Engineer at Madison Energy Infrastructure. Skills: Performance Engineering, Data Analysis. Analyze portfolio performance. Manage portfolio performance", "postedDate" : "2026-06-14T08:19:20.072", "createdAt" : "2026-06-14T08:19:20.072", "lastUpdated" : "2026-06-15T06:51:11.467", "ingestTimestamp" : "2026-06-14T08:19:20.072", "mongoId" : "6a2c7c6274d8ee00a094d4dc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Performance analysis", "Critical thinking", "Detail-driven", "Performance Engineering", "Data Analysis", "Data analysis", "Issue summarization", "Email communication", "Solar assets", "BESS assets", "Zoom", "Slack", "Outlook", "Teams", "Dropbox", "Adobe", "Google Suite", "Multiplier" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Climate Tech", "llmIndustryConfidence" : 0.95 }, { "id" : "69d5e4972beec4dd3d931a47", "title" : "AIT Audit Manager III, Audits and Insights Team", "company" : "ADCI HYD 13 SEZ", "industry" : "Project/Program/Product Management--Non-Tech, Risk Family, customer trust and partner support", "salary" : { "min" : 2400000.0, "max" : 3600000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for E-Commerce in Hyderabad, India, adjusted for Manager seniority and company size." }, "location" : "Hyderabad, Telangana, IND", "locations" : [ "Hyderabad, Telangana, IND" ], "certifications" : [ "PMP" ], "timestamp" : "2026-06-15T02:08:54.028", "fingerprint" : "889b56089f59325ee3ef46d2923bbfbec4f06a762119d69831ffabd8b5fb62b0", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10384848/apply", "externalId" : "2a5a65f1-0959-4053-a463-bc67a4ae79ed", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hyderabad", "state" : "Telangana", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "17.3605890,78.4740613" } ], "locationText" : "Hyderabad, Telangana, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 6, "experienceLevel" : "Manager", "professionalSkills" : [ "Risk management", "Process improvement", "Organizational transformation", "Change management" ], "hardSkillsList" : [ "Audit metrics analysis", "Workforce planning", "Regulatory compliance" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Audit metrics analysis", "level" : "intermediate" }, { "name" : "Workforce planning", "level" : "intermediate" }, { "name" : "Regulatory compliance", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Audit operations management, Stakeholder management, Continuous improvement", "majorSkillsList" : [ "Audit operations management", "Stakeholder management", "Continuous improvement" ], "coreResponsibilities" : "Develop strategic audit initiatives, Execute strategic audit initiatives, Lead audit organization, Ensure high performance standards, Drive organizational transformation, Drive change management initiatives, Establish governance frameworks, Establish quality assurance programs, Build stakeholder relationships, Maintain stakeholder relationships, Influence policy decisions, Influence strategic direction, Oversee complex audit programs, Ensure timely completion of deliverables, Monitor audit metrics, Analyze audit metrics, Provide reports to senior management, Manage resource allocation, Manage workforce planning, Drive continuous improvement initiatives, Drive process optimization, Collaborate to address audit findings, Implement corrective actions, Ensure compliance with regulatory requirements, Ensure compliance with internal standards, Drive meeting insights, Convert findings into trends, Convert findings into KPI, Convert findings into metrics, Lead Kingpin goals, Own Kingpin goals", "teamCollaboration" : "Senior stakeholders across business", "projectManagementSkills" : [ "PMP", "Lean principles", "Six Sigma" ], "domainKnowledge" : "Account enforcements; Listing enforcements; Appeals decisions; Reinstatement decisions; Perfect Order Experience; Selling Partner Risk; Abuse prevention; Financial disincentives; Automated Brand Protection; Product Review Abuse; Restricted Products; Safety compliance; Know Your Customer; Product Safety Compliance", "domainList" : [ "account-enforcements", "listing-enforcements", "appeals-decisions", "reinstatement-decisions", "perfect-order-experience", "selling-partner-risk", "abuse-prevention", "financial-disincentives", "automated-brand-protection", "product-review-abuse", "restricted-products", "safety-compliance", "know-your-customer", "product-safety-compliance" ], "domainSpecificKnowledge" : [ "Account enforcements", "Listing enforcements", "Appeals decisions", "Reinstatement decisions", "Perfect Order Experience", "Selling Partner Risk", "Abuse prevention", "Financial disincentives", "Automated Brand Protection", "Product Review Abuse", "Restricted Products", "Safety compliance", "Know Your Customer", "Product Safety Compliance" ], "toolProficiency" : [ "Microsoft Office" ], "communicationSkills" : "Executive-level communication", "problemSolvingSkills" : "Root cause analysis", "outcomesObjectives" : "Improve enforcement accuracy; Improve appeal handling accuracy; Improve First Contact Resolution rate; Reduce Seller enforcements; Reduce Seller appeals", "qualificationsBasic" : "6+ years compliance experience, 6+ years audit experience, 6+ years risk management experience, Advanced Microsoft Office proficiency, Bachelor's degree", "qualificationsPreferred" : "PMP certification, Lean principles implementation, Six Sigma methodologies implementation, Master's degree", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Audits and Insights team (AIT) – SPT Audit program measures accuracy of account enforcements, listing enforcements, all appeals and reinstatement decisions through audits on a statistically significant sample across Perfect Order Experience, Selling Partner Risk & Abuse, Financial Disincentives, Automated Brand Protection, Andon, Product Review Abuse, Restricted Products, Safety, Know Your Customer & Product Safety & Compliance (PSC) to name a few. We perform audits and measure the coverage and accuracy via director level goals and generate actionable insights from our audits to improve enforcement accuracy, appeal handling accuracy, First Contact Resolution (FCR) rate and eliminate unnecessary Seller friction by identifying ways to reduce Seller enforcements and appeals. We are committed to maintaining and advancing the trust of our Sellers by raising the bar through our Audits. The Audit Manager III is a senior leadership position responsible for directing and managing a large-scale audit operation with oversight of 120-150 auditors. This role requires strategic vision, executive-level communication skills, and the ability to drive organizational change while ensuring operational excellence. Key job responsibilities • Develop and execute strategic audit initiatives aligned with organizational objectives • Lead a large-scale audit organization, including managers and senior auditors, ensuring high performance standards and professional growth • Drive organizational transformation and change management initiatives • Establish governance frameworks and quality assurance programs • Build and maintain relationships with senior stakeholders across the business to shape audit process and risk management approaches • Influence policy decisions and strategic direction at an organizational level • Oversee complex audit programs and ensure timely completion of deliverables • Monitor and analyze audit metrics, providing regular reports to senior management • Manage resource allocation and workforce planning for optimal operational efficiency • Drive continuous improvement initiatives and process optimization • Collaborate with stakeholders to address audit findings and implement corrective actions • Ensure compliance with regulatory requirements and internal standards . Drive meeting insights through the output of the audit data. Convert findings into meaning full trends, KPI and metrics. Lead and Own Kingpin goals Basic Qualifications: - 6+ years of compliance, audit or risk management experience - Knowledge of Microsoft Office products and applications at an advanced level - Bachelor's degree or equivalent Preferred Qualifications: - Project Management Professional (PMP) or equivalent certification - Experience leveraging technology and implementing lean principles / Six Sigma methodologies to drive process improvements or equivalent - Master's degree or equivalent Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "AIT Audit Manager III, Audits and Insights Team at ADCI HYD 13 SEZ. Skills: Audit operations management, Stakeholder management, Continuous improvement. Develop strategic audit initiatives. Execute strategic audit initiatives", "postedDate" : "2026-06-13T17:52:22.470", "createdAt" : "2026-06-13T17:52:22.470", "lastUpdated" : "2026-06-15T02:08:54.028", "ingestTimestamp" : "2026-06-13T17:52:22.470", "mongoId" : "69d5e4972beec4dd3d931a47", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10384848/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Audit metrics analysis", "Workforce planning", "Regulatory compliance", "Leadership", "Audit operations management", "Stakeholder management", "Continuous improvement", "Risk management", "Process improvement", "Organizational transformation", "Change management", "PMP", "Lean principles", "Six Sigma", "Account enforcements", "Listing enforcements", "Appeals decisions", "Reinstatement decisions", "Perfect Order Experience", "Selling Partner Risk", "Abuse prevention", "Financial disincentives", "Automated Brand Protection", "Product Review Abuse", "Restricted Products", "Safety compliance", "Know Your Customer", "Product Safety Compliance", "Microsoft Office" ], "skillCount" : 29, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cdee474d8ee00a0a59762", "title" : "Oil and Gas Operations Performance Engineer", "company" : "ProSidian Consulting, LLC", "industry" : "Management Consulting", "salary" : { "min" : 145000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Oil and Gas Operations Performance Engineer in Washington, United States, adjusted for industry and company size." }, "location" : "Washington, DC, United States", "locations" : [ "Washington", "DC", "United States" ], "timestamp" : "2026-06-15T07:36:14.605", "fingerprint" : "a9e7a5983cdd42dd1295a611aa7805be5bdd8724798dbf46933530c5bdfe4666", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/prosidianconsulting/744000131736617-oil-and-gas-operations-performance-engineer", "externalId" : "744000131736617", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Washington", "state" : "District of Columbia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "38.8950982,-77.0363849" }, { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "Washington, District of Columbia, United States; United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "mid", "technicalSkills" : "Engineering", "professionalSkills" : [ "Risk Management", "Lifecycle Performance Support", "Due diligence", "Credit evaluation", "Technical advisory" ], "hardSkillsList" : [ "Operations monitoring", "Performance monitoring", "KPI monitoring", "Asset performance assessment", "Production ramp-up assessment", "Reliability assessment" ], "hardSkills" : [ { "name" : "Operations monitoring", "level" : "intermediate" }, { "name" : "Performance monitoring", "level" : "intermediate" }, { "name" : "KPI monitoring", "level" : "intermediate" }, { "name" : "Asset performance assessment", "level" : "intermediate" }, { "name" : "Production ramp-up assessment", "level" : "intermediate" }, { "name" : "Reliability assessment", "level" : "intermediate" } ], "majorSkills" : "Performance Engineering, Lifecycle Support", "majorSkillsList" : [ "Performance Engineering", "Lifecycle Support" ], "coreResponsibilities" : "Monitor operational KPIs, Monitor throughput, Monitor efficiency, Monitor yield, Monitor production performance, Monitor debt-service support capability, Assess operational readiness, Assess asset performance, Assess production ramp-up, Assess efficiency, Assess yield, Assess reliability indicators, Provide bankable advisory services, Provide technically defensible advisory services, Convert findings into outputs, Support lender due diligence, Support monitoring, Support certification, Support decision-support", "teamCollaboration" : "Independent Engineering Advisory Services Team; Energy Dominance Financing Advisory Team; Technical Due Diligence Team; Credit Evaluation Team; Lifecycle Monitoring Team", "domainKnowledge" : "Oil and Gas Operations; Energy Industry; Power and Utilities; Risk Management Solutions; Loan Programs Office (LPO); Energy Dominance Financing (EDF)", "domainList" : [ "oil-and-gas-operations", "energy-industry", "power-and-utilities", "risk-management-solutions", "loan-programs-office-lpo", "energy-dominance-financing-edf" ], "domainSpecificKnowledge" : [ "Oil and Gas Operations", "Energy Industry", "Power and Utilities", "Risk Management Solutions", "Loan Programs Office (LPO)", "Energy Dominance Financing (EDF)" ], "specialRequirements" : "On-site meetings expected, Security clearance required, STD Background Chk", "outcomesObjectives" : "Deliver bankable advisory services; Deliver technically defensible advisory services", "qualificationsBasic" : "Senior Consultant II, Energy Industry experience, Oil and Gas experience, Power and Utilities experience, Risk Management experience, Compliance experience, Business Process experience, IT Effectiveness experience, Engineering experience, Environmental experience, Sustainability experience, Human Capital experience", "qualificationsPreferred" : "Functional area expertise, Technical area expertise", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "ProSidian is a Management and Operations Consulting Services firm that delivers value to clients through tailored solutions grounded in industry-leading practices. ProSidian provides enterprise services/solutions for Risk Management, Compliance, Business Process, IT Effectiveness, Engineering, Environmental, Sustainability, and Human Capital. We help forward-thinking clients solve problems and improve operations. Launched by Management Consultants, our multidisciplinary teams bring together the talents of global professionals to complete a wide range of engagements for public and private, defense and civilian government, and non-profit organizations. Our solution-centric services are deployed across the enterprise, target drivers of economic profit (growth, margin, and efficiency), and are aligned at the intersections of assets, processes, policies, and people delivering value. Learn More About ProSidian Consulting at www.ProSidian.com. ProSidian Seeks a Oil and Gas Operations Performance Engineer | Oil and Gas Operations Monitoring & Lifecycle Performance Support [DOE0050050] for Program Support on a Exempt 1099 Contract: No Overtime Pay Basis Remote (within USA - W/ On-Site Meetings Expected) in The CONUS - Located In Washington, DC / Nationwide (Remote Project Support Across the United States) Area Clearance Designation(s): STD Background Chk Contract Contingent, generally located across the CONUS - Located In Washington, DC / Nationwide (Remote Project Support Across the United States) Across The District of Columbia / Nationwide (Remote Project Support Across the United States) - Independent Engineering Advisory Services are typically performed remotely and at project sites nationwide. Region supporting a a department within the US Department of Energy [The Loan Programs Office (LPO)] that provides attractive debt financing for high-impact, large-scale energy infrastructure projects in the United States. The Oil and Gas Operations Performance Engineer | Oil and Gas Operations Monitoring & Lifecycle Performance Support [DOE0050050] is aligned with GSA Labor Category: Senior Consultant. We seek Oil and Gas Operations Performance Engineer | Oil and Gas Operations Monitoring & Lifecycle Performance Support [DOE0050050] candidates with relevant Energy Industry (Oil, And Gas/Power, And Utilities) Sector Experience (functional and technical area expertise also ideal) to support professional services engagement for Energy Industry (Oil, And Gas/Power, And Utilities) Sector Clients such as DOE. JOB OVERVIEW Provide services and support as a Oil and Gas Operations Performance Engineer [Independent Engineering (IE) Advisory Services] aligned with the Oil and Gas Operations Monitoring & Lifecycle Performance Support Functional Area / Swim Lane / Category Discipline in the Energy Industry (Oil, And Gas/Power, And Utilities) Industry Sector focussing on RM | Risk Management Solutions for clients such as U.S. Department of Energy (DOE) | DOE Energy Dominance Financing (EDF) Program Generally Located In CONUS - Located In Washington, DC / Nationwide (Remote Project Support Across the United States) and across the District of Columbia / Nationwide (Remote Project Support Across the United States) - Independent Engineering Advisory Services are typically performed remotely and at project sites nationwide. Region (Of Country/World) Remote (within USA - W/ On-Site Meetings Expected). Serves as a Oil and Gas Operations Performance Engineer within the Oil and Gas Operations Monitoring & Lifecycle Performance Support swim lane, delivering bankable, technically defensible Independent Engineering advisory services by converting discipline-specific engineering, construction, compliance, operating, commercial, and risk findings into lender-ready due diligence, monitoring, certification, and decision-support outputs. Serve as a Oil and Gas Operations Performance Engineer - Oil and Gas Operations Monitoring & Lifecycle Performance Support Specialist (Labor Category: Senior Consultant II) to provide Oil and Gas Operations Monitoring & Lifecycle Performance Support Operations / Technical as part of an as part of an Independent Engineering (IE) Advisory Services | Energy Dominance Financing (EDF) Advisory / Technical Due Diligence / Credit Evaluation / Lifecycle Monitoring Team that provides Engineering Services. This includes activities that address and Operational KPI monitoring: Monitors operational KPIs, throughput, efficiency, yield, production performance, and debt-service support capability. Assesses operational readiness, asset performance, production ramp-up, efficiency, yield, and reliability indicators. Support requirements for Independent Engineering (IE) Advisory Services related to Energy Dominance Financing (EDF) Advisory / Technical Due Diligence / Credit Evaluation / Lifecycle Monitoring. These roles collectively cover the EDF requirement areas of: Technical due diligence | Credit and financing support | Construction monitoring | EPC oversight | Conditions Precedent validation | Disbursement certification | Completion certification | Operations monitoring | Long-term debt-service viability assessment | Independent engineering assurance and reporting. RESPONSIBILITIES AND DUTIES-Oil and Gas Operations Performance Engineer | Oil and Gas Operations Monitoring & Lifecycle Performance Support [DOE0050050] Provides Independent Engineering advisory support for Energy Dominance Financing (EDF) Program technical due diligence, credit evaluation, lifecycle monitoring, and assurance activities, with emphasis on oil and gas operating metrics, throughput, production, reliability, and efficiency. Reviews project documentation, evaluates technical and commercial interfaces, identifies risks and mitigations, validates assumptions, supports conditions precedent and disbursement readiness reviews where applicable, and prepares defensible work products including performance dashboards, bottleneck analysis, downtime reports, operating assumptions, and optimization recommendations. Coordinates with engineering, finance, legal, construction, operations, environmental, HSE, and project controls stakeholders to support timely lender and DOE decision-making. The role(s) are located in the District of Columbia / Nationwide (Remote Project Support Across the United States) - Independent Engineering Advisory Services are typically performed remotely and at project sites nationwide. Region, at or near CONUS - Located In Washington, DC / Nationwide (Remote Project Support Across the United States). Initially identified Work Site Address (Remote (within USA - W/ On-Site Meetings Expected): 1000 Independence Avenue SW, Washington, DC 20585 ## Qualifications Desired Qualifications For Oil and Gas Operations Performance Engineer | Oil and Gas Operations Monitoring & Lifecycle Performance Support [DOE0050050] Candidates: 10+ years of relevant engineering, construction, operations, compliance, risk, finance, or energy infrastructure advisory experience; demonstrated work on oil and gas, power, utilities, or large-scale infrastructure projects for owners, lenders, independent engineers, or federal clients. Education / Experience Requirements / Qualifications Bachelor's degree in engineering, geoscience, petroleum engineering, mechanical, electrical, chemical, civil, environmental, or related technical field. PE, PMP, CSP, API, NACE/AMPP, PMI, or discipline-specific credentials preferred where applicable. 10+ years of relevant engineering, construction, operations, compliance, risk, finance, or energy infrastructure advisory experience; demonstrated work on oil and gas, power, utilities, or large-scale infrastructure projects for owners, lenders, independent engineers, or federal clients. Skills Required Primarily focused on Engineering Services initiatives and aligned with Program Support activities Oil and Gas Operations Monitoring & Lifecycle Performance Support Functional Area Activities. Independent engineering review; U.S. Department of Energy (DOE) Loan Programs Office (LPO) - Style documentation discipline; technical due diligence; risk assessment; oil and gas operating metrics, throughput, production, reliability, and efficiency; data room review; information request tracking; report writing; Excel-based analysis; stakeholder coordination; and clear presentation of findings for credit, construction, monitoring, and certification decisions. Competencies Required * Technical judgment; independence and objectivity; analytical rigor; attention to detail; defensible documentation; client service orientation; cross-functional collaboration; issue escalation; quality mindset; schedule discipline; and ability to translate technical evidence into actionable risk, compliance, and financing implications. Ancillary Details Of The Roles * Ancillary role detail: may participate in data room reviews, borrower/contractor interviews, site observations, monthly monitoring meetings, risk register updates, CP evidence reviews, draw package checks, issue closure tracking, and preparation of Independent Engineer reports for DOE, LPO, credit, and program governance stakeholders. * The DOE Energy Dominance Financing (EDF) Program represents DOE/LPO-supported financing and lifecycle oversight activities for large-scale U.S. energy infrastructure projects, requiring independent engineering, technical due diligence, credit evaluation, construction monitoring, operational performance assessment, and risk management services to support financing decisions and protect government lending interests throughout the project lifecycle. DOE financing activities that support U.S. energy infrastructure, energy security, domestic production, and strategic energy investments. The financing authority itself would typically be administered through the DOE Loan Programs Office (LPO). * The Loan Programs Office (LPO) is the financing arm of the U.S. Department of Energy, responsible for providing Direct loans, loan guarantees, credit assistance, and project finance support for large-scale energy and infrastructure projects in the United States. The LPO evaluates projects from Technical, Engineering, Financial, Commercial, Environmental, Regulatory, Construction, and Operational perspectives before financing decisions are made. * Independent Engineering (IE) Advisory Services are needed for complex energy projects. DOE/LPO frequently requires independent technical reviews similar to those used by commercial lenders, export credit agencies, multilateral development banks, and institutional project finance investors. An EDF-style Independent Engineering engagement could include: * - Upstream Oil & Gas (Exploration and production | Reservoir development | Drilling programs) * - Midstream (Pipelines | Compression facilities | LNG infrastructure | Storage terminals) * - Downstream (Refineries | Petrochemical facilities | Processing plants) * - Power & Utilities (Generation facilities | Transmission infrastructure | Grid modernization | Energy storage) Other Details Role supports NAICS 541330 Engineering Services for Energy Dominance Financing (EDF) Program/Loan Programs Office (LPO) energy infrastructure financing, with work performed for high-impact oil and gas, power, utilities, and infrastructure projects. Outputs must be independent, traceable to source evidence, suitable for lender review, and aligned with technical due diligence, construction monitoring, EPC oversight, completion certification, operations monitoring, and long-term debt-service viability assessment needs. #TechnicalCrossCuttingJobs #Energy Industry (Oil, And Gas/Power, And Utilities) #Jugaad #Copitas #AskWhy #Zakat #PokaYoke #AskidaEmek ## Additional Information As a condition of employment, all employees must meet the requirements of their roles: establish, manage, pursue, and achieve annual goals and objectives with Documented Goals for each of the firm's Eight ProSidian Global Competencies [1 - Personal Effectiveness | 2 - Continuous Learning | 3 - Leadership | 4 - Client Service | 5 - Business Management | 6 - Business Development | 7 - Technical Expertise | 8 - Innovation & Knowledge Sharing (Thought Leadership)]; and support all business development and other efforts on behalf of ProSidian. Eight ProSidian Global Competencies 1. Personal Effectiveness – The ability to manage tasks, time, and relationships efficiently, achieving consistent, impactful results. 2. Continuous Learning – Ongoing pursuit of knowledge, skills, and adaptability to remain relevant, competent, and professionally competitive. 3. Leadership – Inspiring, guiding, and motivating others toward shared goals, fostering accountability, collaboration, and strategic organizational success. 4. Client Service – Delivering responsive, high-quality solutions that address client needs, build trust, and strengthen long-term partnerships. 5. Business Management – Coordinating people, processes, and resources to achieve strategic objectives, operational efficiency, and sustainable organizational performance. 6. Business Development – Identifying, pursuing, and securing growth opportunities through strategic relationships, market insight, and innovative solutions. 7. Technical Expertise – Applying specialized knowledge, analytical skills, and practical experience to solve complex problems with accuracy. 8. Innovation & Knowledge Sharing (Thought Leadership) – Generating creative solutions, sharing insights, and influencing industry direction through expertise, collaboration, and continuous improvement. ------------ --------------- ------------ OTHER REQUIREMENTS * Business Tools – understanding and proficiency with business tools and technology, including Microsoft Office. The ideal candidate is advanced with Excel, Access, Outlook, PowerPoint, and Word; proficient with Adobe Acrobat, data analytics tools, and Visio; and able to quickly learn other tools as needed. * Business Tools – understanding and proficiency with business tools and technology, including Microsoft Office. The ideal candidate is advanced with Excel, Access, Outlook, PowerPoint, and Word; proficient with Adobe Acrobat, data analytics tools, and Visio; and able to quickly learn other tools as needed. * Commitment - to work with intelligent, interesting people with diverse backgrounds to solve the most significant challenges across private, public, and social sectors. * Curiosity – the ideal candidate exhibits an inquisitive nature and the ability to question the status quo among a community of people they enjoy and teams that work well together. * Humility – exhibits grace in success and failure while doing meaningful work where skills have an impact and make a difference. * Willingness - to constantly learn, share, and grow, and to view the world as their classroom. ------------ --------------- ------------ BENEFITS AND HIGHLIGHTS ProSidian Employee Benefits and Highlights - Your health and well-being are vital to ProSidian. We invest in employees to support health and work-life balance. Our Employee Benefits Program promotes your health and well-being, including benefits for Full-Time Employees. * Competitive Compensation: The pay range is competitive and includes health benefits, pre-tax employee benefits, and incentives. The company contributes a fixed dollar amount each month to the selected medical and dental plans, with the contributions deducted pre-tax. * Group Medical / Dental / Vision Health Insurance Benefits: ProSidian partners with providers to offer eligible employees a range of medical and dental plans, including high-deductible health plans and PPOs, as well as plans for high and low vision. * 401(k) Retirement Savings Plan: The 401(k) Retirement Savings Plan lets eligible employees save for retirement with various investment options and support from a financial planner. It operates as a pre-tax Safe Harbor plan with a company match. * Vacation and Paid Time-Off (PTO) Benefits: Eligible employees can use PTO for vacations, doctor's appointments, or personal events. These benefits include 2 weeks of vacation, three sick days, 10 ProSidian holidays, and government holidays. * Pre-Tax Payment Programs: Pre-Tax Payment Programs are premium-only plans (POPs) that provide eligible employees with a comprehensive Flexible Spending Account (FSA) Plan and associated tax benefits. * Purchasing Discounts & Savings Plans: We aim for your financial success with a Purchasing Discounts and Savings Plan via the Corporate Perks Benefit Program, offering eligible employees discounts on everyday products and services. * Security Clearance: Due to the nature of our consulting engagements, a security clearance is necessary for engagement teams managing sensitive work in the Federal Marketplace. Security clearance is a valuable asset in your professional portfolio, enhancing your credentials. * ProSidian Employee & Contractor Referral Bonus Program: ProSidian can offer up to $5,000 for referrals who stay employed for 90 days, based on candidates submitted through our Referral Program. * Performance Incentives: Due to the nature of our consulting work, performance incentives are tied to each new client that employees assist in pursuing and supporting. * Flexible Spending Account: FSAs let you pre-tax cover eligible healthcare and daycare costs. You estimate your annual expenses and allocate part of each paycheck to your FSA. * Supplemental Life/Accidental Death and Dismemberment Insurance: If you want extra protection for yourself and your eligible dependents, you can choose supplemental life insurance. D&D covers death or dismemberment resulting solely from an accident. * Short- and Long-Term Disability Insurance: Disability insurance plans are designed to offer income protection during your recovery from a disability. ----------- ------------ ------------ ADDITIONAL INFORMATION - See Below Instructions On The Best Way To Apply ProSidian is committed to equal opportunity employment, assessing qualified applicants without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity, age, disability, veteran status, or other protected characteristics. All information is kept confidential in line with EEO standards. The company supports the Hiring Our Heroes Program and the \"I Hire Military\" Initiative, encouraging all applicants—including veterans—to apply. Our core value, \"Honor Above All,\" emphasizes integrity, overcoming challenges, and striving for excellence. To apply, visit or send your resume, salary expectations, and job title or code to careers @ ProSidian.com. Only qualified candidates will be reviewed. Please make sure your subject line is clear and properly formatted. Application – [Job Title] – [Job Ref Code] – [Your Full Name]. Risk Management | Compliance | Business Processes | IT Effectiveness | Engineering | Environmental | Sustainability | Human Capital", "summaryDescription" : "Oil and Gas Operations Performance Engineer at ProSidian Consulting, LLC. Skills: Performance Engineering, Lifecycle Support. Monitor operational KPIs. Monitor throughput", "postedDate" : "2026-06-11T18:25:13.000", "createdAt" : "2026-06-13T22:32:22.618", "lastUpdated" : "2026-06-15T07:36:14.605", "ingestTimestamp" : "2026-06-13T22:32:22.618", "mongoId" : "6a2cdee474d8ee00a0a59762", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 210000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Operations monitoring", "Performance monitoring", "KPI monitoring", "Asset performance assessment", "Production ramp-up assessment", "Reliability assessment", "Performance Engineering", "Lifecycle Support", "Risk Management", "Lifecycle Performance Support", "Due diligence", "Credit evaluation", "Technical advisory", "Oil and Gas Operations", "Energy Industry", "Power and Utilities", "Risk Management Solutions", "Loan Programs Office (LPO)", "Energy Dominance Financing (EDF)" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Energy", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2a42ab74d8ee00a05cc35e", "title" : "Building Performance and Energy Consultant", "company" : "CRB", "industry" : "Construction", "salary" : { "min" : 85000.0, "max" : 115000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for a Mid-level Building Performance and Energy Consultant in Raleigh, United States, adjusted for the life sciences and food and beverage industry." }, "location" : "Raleigh, NC, United States", "locations" : [ "Raleigh", "NC", "United States" ], "certifications" : [ "PE", "CEM", "ASHRAE BEMP" ], "timestamp" : "2026-06-11T14:31:45.082", "fingerprint" : "772cd3c366cf38a94bb74db49316ba0fad4d1c119549cca4e99a0e4bcad39dbd", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/CRB/744000131487989-building-performance-and-energy-consultant", "externalId" : "744000131487989", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Raleigh", "state" : "North Carolina", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "35.7803977,-78.6390989" } ], "locationText" : "Raleigh, North Carolina, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Energy modeling, Low-carbon HVAC design, Building performance analytics", "professionalSkills" : [ "Sustainability consulting", "Energy modeling", "Building performance", "Carbon reduction strategies", "Sustainability planning", "Decarbonization roadmaps" ], "hardSkillsList" : [ "Energy modeling", "Thermal performance analysis", "MEP design review", "LEED documentation", "Sustainability workshops" ], "hardSkills" : [ { "name" : "Energy modeling", "level" : "intermediate" }, { "name" : "Thermal performance analysis", "level" : "intermediate" }, { "name" : "MEP design review", "level" : "intermediate" }, { "name" : "LEED documentation", "level" : "intermediate" }, { "name" : "Sustainability workshops", "level" : "intermediate" } ], "majorSkills" : "Building performance, Energy modeling, Decarbonization", "majorSkillsList" : [ "Building performance", "Energy modeling", "Decarbonization" ], "coreResponsibilities" : "Develop and run detailed building energy models, Evaluate energy, carbon, and thermal performance, Translate modeling results into actionable design recommendations, Collaborate with architects and engineers to implement strategies, Review architectural and MEP design documents, Ensure integration of energy performance measures, Ensure compliance with relevant codes and standards, Prepare and contribute to LEED and other green, Support sustainability workshops, design charrettes, and client meetings, Present analysis findings, Assist in setting performance targets, Contribute to long-term sustainability planning, Contribute to decarbonization roadmaps", "teamCollaboration" : "Multidisciplinary design teams; Client meetings", "domainKnowledge" : "High-performance facilities; Pharmaceutical manufacturing; Laboratories; GMP environments; Building systems; ASHRAE 90.1; ASHRAE 62.1; ASHRAE 189.1; LEED; EUI; Carbon intensity", "domainList" : [ "high-performance-facilities", "pharmaceutical-manufacturing", "laboratories", "gmp-environments", "building-systems", "ashrae-90-1", "ashrae-62-1", "ashrae-189-1", "leed", "eui", "carbon-intensity" ], "domainSpecificKnowledge" : [ "High-performance facilities", "Pharmaceutical manufacturing", "Laboratories", "GMP environments", "Building systems", "ASHRAE 90.1", "ASHRAE 62.1", "ASHRAE 189.1", "LEED", "EUI", "Carbon intensity" ], "toolProficiency" : [ "IES VE", "EnergyPlus", "OpenStudio", "Rhino/Grasshopper", "Ladybug", "Honeybee" ], "communicationSkills" : "Presenting analysis findings; Client meetings", "documentationSkills" : "LEED documentation; Energy simulation reports; Sustainability narratives", "problemSolvingSkills" : "Building performance evaluation; Energy analytics", "outcomesObjectives" : "Meet ambitious sustainability goals; Meet decarbonization goals", "qualificationsBasic" : "Bachelor’s degree in Engineering, Architecture, or Building Science, 3–6 years of experience in sustainability consulting, building performance, or energy modeling, Proficiency in energy modeling software, Familiarity with green building frameworks and certification processes, Working knowledge of HVAC systems, building envelope, and mechanical/electrical systems, Ability to read and interpret architectural and MEP drawings, communication and collaboration skills", "qualificationsPreferred" : "Professional credentials such as PE, CEM, or ASHRAE BEMP, Experience with parametric modeling tools, Experience with sustainability planning, decarbonization studies, or master planning, Sector experience in life sciences, pharmaceutical, biotech, laboratory, or food & beverage projects", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "CRB is a leading provider of sustainable Engineering, Architecture, Construction and Consulting solutions to the global life sciences and food and beverage industries. Our 1,100 employees provide best-in-class solutions that drive success and positive change for our clients, our people and our communities. CRB is a privately held company with a rich history of serving clients throughout the world, consistently striving for the highest standard of technical knowledge, creativity and execution. CRB is seeking a technically skilled Building Performance and Energy Consultant with a focus on Building Performance to join our growing sustainability team. This role is ideal for an emerging professional with at least 3 years of experience in energy modeling, low-carbon HVAC design, and decarbonized building systems design—particularly within high-performance, process-intensive facilities such as pharmaceutical manufacturing, laboratories, and GMP environments. As a Building Performance and Energy Consultant, you will apply technology to evaluate and improve building performance across energy, carbon, and water domains. Working under the guidance of a Lead Building Performance Specialist, you will collaborate with multidisciplinary design teams to integrate simulation-based insights into project strategies and help clients meet ambitious sustainability and decarbonization goals. This role is focused on building performance and energy analytics. The successful candidate will have an understanding of building performance and an understanding of interactions and building systems. The role is not a fit for candidates whose primary experience is in renewable energy development, energy auditing, or corporate ESG reporting. Key Responsibilities · Develop and run detailed building energy models using tools such as IES VE, EnergyPlus, or OpenStudio to evaluate energy, carbon, and thermal performance. · Translate modeling results into actionable design recommendations and collaborate with architects and engineers to implement energy efficiency and carbon reduction strategies. · Review architectural and MEP design documents to ensure integration of energy performance measures and compliance with relevant codes and standards (e.g., ASHRAE 90.1, 62.1, 189.1). · Prepare and contribute to LEED and other green building certification documentation, including energy simulation reports and sustainability narratives. · Support sustainability workshops, design charrettes, and client meetings by presenting analysis findings and assisting in setting performance targets (e.g., EUI, carbon intensity). · Contribute to long-term sustainability planning and decarbonization roadmaps for clients. ## Qualifications Minimum Qualifications · Bachelor’s degree in Engineering, Architecture, or Building Science with a strong focus on building systems. · 3–6 years of experience in sustainability consulting, building performance, or energy modeling. · Proficiency in energy modeling software such as IES VE, EnergyPlus, OpenStudio, or similar tools. · Familiarity with green building frameworks and certification processes, including LEED. · Working knowledge of HVAC systems, building envelope, and mechanical/electrical systems. · Ability to read and interpret architectural and MEP drawings. · Strong communication and collaboration skills for interfacing with clients and multidisciplinary teams. Preferred Qualifications · Professional credentials such as PE, CEM, or ASHRAE BEMP. · Experience with parametric modeling tools such as Rhino/Grasshopper and environmental plugins like Ladybug or Honeybee. · Experience with sustainability planning, decarbonization studies, or master planning for high-performance facilities. · Sector experience in life sciences, pharmaceutical, biotech, laboratory, or food & beverage projects. ## Additional Information All your information will be kept confidential according to EEO guidelines. CRB is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity Employer and it is our policy to provide equal opportunity to all people without regard to race, color, religion, national origin, ancestry, marital status, veteran status, age, disability, pregnancy, genetic information, citizenship status, sex, sexual orientation, gender identity or any other legally protected category. Employment is contingent on background screening. CRB does not accept unsolicited resumes from search firms or agencies. Any resume submitted to any employee of CRB without a prior written search agreement will be considered unsolicited and the property of CRB. Please, no phone calls or emails. CRB offers a complete and competitive benefit package designed to meet individual and family needs. If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.", "summaryDescription" : "Building Performance and Energy Consultant at CRB. Skills: Building performance, Energy modeling, Decarbonization. Develop and run detailed building energy models. Evaluate energy, carbon, and thermal performance", "postedDate" : "2026-06-10T15:39:05.000", "createdAt" : "2026-06-11T08:01:11.786", "lastUpdated" : "2026-06-11T14:31:45.082", "ingestTimestamp" : "2026-06-11T08:01:11.786", "mongoId" : "6a2a42ab74d8ee00a05cc35e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 85000, "salaryAnnualMax" : 115000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Energy modeling", "Thermal performance analysis", "MEP design review", "LEED documentation", "Sustainability workshops", "Building performance", "Decarbonization", "Sustainability consulting", "Carbon reduction strategies", "Sustainability planning", "Decarbonization roadmaps", "High-performance facilities", "Pharmaceutical manufacturing", "Laboratories", "GMP environments", "Building systems", "ASHRAE 90.1", "ASHRAE 62.1", "ASHRAE 189.1", "LEED", "EUI", "Carbon intensity", "PE", "CEM", "ASHRAE BEMP", "IES VE", "EnergyPlus", "OpenStudio", "Rhino/Grasshopper", "Ladybug", "Honeybee" ], "skillCount" : 31, "jobCategory" : "engineering", "jobSubcategory" : "CRB Group Inc.", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "life sciences and food and beverage" }, { "id" : "6a2c75bf74d8ee00a0937fd6", "title" : "Regulatory and Product Counsel", "company" : "Clair", "industry" : "Operations", "salary" : { "min" : 160000.0, "max" : 180000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "New York", "locations" : [ "New York" ], "certifications" : [ "Active bar admission" ], "timestamp" : "2026-06-15T12:05:25.551", "fingerprint" : "6d5c0f050ff25741dd1bcb953bbd6a6f3b821dd46e7a78fd8b049c186338f557", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/clair/8062f406-bc67-4f39-b6bd-55945fa5d526/application", "externalId" : "8062f406-bc67-4f39-b6bd-55945fa5d526", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "40.7127281,-74.0060152" }, { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "New York, New York, United States; United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Risk management", "Legal analysis", "Compliance oversight" ], "hardSkillsList" : [ "Regulatory guidance", "Fair lending", "State licensing", "Money transmission", "Compliance management systems", "Vendor risk management", "Regulatory filings", "Regulatory examinations", "Partner bank compliance" ], "softSkillsList" : [ "Solutions-oriented" ], "hardSkills" : [ { "name" : "Regulatory guidance", "level" : "intermediate" }, { "name" : "Fair lending", "level" : "intermediate" }, { "name" : "State licensing", "level" : "intermediate" }, { "name" : "Money transmission", "level" : "intermediate" }, { "name" : "Compliance management systems", "level" : "intermediate" }, { "name" : "Vendor risk management", "level" : "intermediate" }, { "name" : "Regulatory filings", "level" : "intermediate" }, { "name" : "Regulatory examinations", "level" : "intermediate" }, { "name" : "Partner bank compliance", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Solutions-oriented" } ], "majorSkills" : "Regulatory law, Product counseling, Compliance management", "majorSkillsList" : [ "Regulatory law", "Product counseling", "Compliance management" ], "coreResponsibilities" : "Serve as primary legal advisor, Provide regulatory guidance on new product features, Provide regulatory guidance on partnerships, Provide regulatory guidance on go-to-market strategies, Advise on consumer financial protection laws, Advise on UDAAP, Advise on fair lending, Advise on state licensing requirements, Support compliance management system, Review customer-facing materials, Approve marketing collateral, Assist with third-party risk management, Assist with vendor risk management, Support licensing portfolio management, Track licensing deadlines, Coordinate licensing renewals, Prepare regulatory filings, Assist with internal audits, Assist with external audits, Assist with regulatory examinations, Liaise with Partner Bank, Monitor regulatory developments, Translate legal changes into guidance", "teamCollaboration" : "Partner cross-functionally; Work with General Counsel; Communicate with stakeholders", "domainKnowledge" : "Fintech; Consumer financial protection; UDAAP; Fair lending; State lending laws; Money transmission laws; Partner bank relationships; Third-party risk management", "domainList" : [ "fintech", "consumer-financial-protection", "udaap", "fair-lending", "state-lending-laws", "money-transmission-laws", "partner-bank-relationships", "third-party-risk-management" ], "domainSpecificKnowledge" : [ "Fintech", "Consumer financial protection", "UDAAP", "Fair lending", "State lending laws", "Money transmission laws", "Partner bank relationships", "Third-party risk management" ], "communicationSkills" : "Verbal communication; Written communication", "qualificationsBasic" : "J.D. and active bar admission, 3+ years regulatory legal experience, Substantive knowledge consumer financial protection laws, Experience advising on product initiatives", "qualificationsPreferred" : "Experience with state money transmission licensing, Experience with state lending licensing, Experience with partner bank relationships, Experience with third-party risk management frameworks", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "ABOUT CLAIR If you can send your friends money in seconds, why does it still take your employer two weeks to send your paycheck? At Clair, we are on a mission to create financial freedom for America's workers by giving them a digital banking platform that allows them to get paid as soon as they clock out of work. But we're not just another digital bank or on-demand pay provider. We meet Americans at their place of work by embedding our products within the scheduling, workforce management, and payroll apps they already use every day. Learn more about us at getclair.com/about http://getclair.com/about ABOUT THE ROLE We are looking for a Regulatory and Product Counsel to join our legal and compliance team. This is a high-impact role for a lawyer who wants to be at the center of a fast-growing fintech—advising on product development, supporting our compliance management system (CMS), and helping navigate an evolving regulatory landscape. You will work directly with our General Counsel and partner cross-functionally with Product, Marketing, and Operations. WHAT YOU’LL DO - Serve as a primary legal advisor on product counseling matters, providing practical regulatory guidance on new product features, partnerships, and go-to-market strategies - Advise on consumer financial protection laws, including UDAAP, fair lending, state licensing requirements (lending, money transmission), and other applicable federal and state regulations - Support all aspects of the compliance management system (CMS), including policies and procedures, training, monitoring, and corrective action - Review and approve customer-facing materials and marketing collateral for regulatory accuracy and required disclosures - Assist with third-party and vendor risk management, including review of vendor contracts and oversight programs - Support licensing portfolio management, including tracking deadlines, coordinating renewals, and preparing regulatory filings - Assist with internal and external audits and regulatory examinations, including document preparation and response coordination - Liaise with our Partner Bank on compliance-related matters and communicate effectively with Partner Bank stakeholders - Monitor regulatory developments and translate legal changes into actionable guidance for internal teams WHAT WE’RE LOOKING FOR - J.D. and active bar admission in at least one U.S. jurisdiction - 3+ years of regulatory legal experience, including time at a law firm, regulatory agency, financial institution, or in-house at a fintech or financial services company - Substantive knowledge of consumer financial protection laws and regulations (e.g., TILA, EFTA, ECOA, UDAAP, state lending laws) - Experience advising on product or business initiatives in a regulated environment - Familiarity with compliance management systems and their core components - Excellent written and verbal communication skills, with the ability to translate complex legal concepts into clear, practical guidance - Proactive, solutions-oriented mindset with the ability to manage competing priorities in a fast-paced environment - Bonus: Experience with state money transmission or lending licensing, partner bank relationships, or third-party risk management frameworks ADDITIONAL DETAILS Location: While we are based in NYC, we are also open to remote candidates for this role who are based in US only. If you are based in NYC, you'll be expected to be in the office 3- Days a week. Compensation: The annual base salary for this role is $160,000 and $180,000. The base pay for this role is determined using many factors, such as education, skills and experience and is reflective of Clair Series stage and size. Base pay is only one part of Clair’s competitive total compensation package which includes equity, benefits and additional perks. The base pay range is subject to change and may be modified in the future. Clair will only contact candidates from @getclair.com http://getclair.com email addresses. We will never ask for payments or sensitive personal information during the hiring process. If you happen to receive anything suspicious, please ignore it. NEED MORE CONVINCING? Apart from getting to work with our incredible team, here are some of the benefits you can expect when you join Clair: - Medical, Dental, & Vision Coverage, with option to extend to your family - Fully-paid parental leave - Company-sponsored 401k, HSA, and FSA - Unlimited vacation for salaried roles, generous PTO for hourly roles - Work from home setup allowance - Access to your earnings every day on Clair - Company-sponsored short-term and long-term disability insurance EQUAL OPPORTUNITY EMPLOYER INFORMATION Clair is an equal opportunity employer and we value diversity at our company. We actively seek a diverse applicant pool and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. For questions, please email us at careers@getclair.com", "summaryDescription" : "Regulatory and Product Counsel at Clair. Skills: Regulatory law, Product counseling, Compliance management. Serve as primary legal advisor. Provide regulatory guidance on new product features", "createdAt" : "2026-06-14T04:02:00.747", "lastUpdated" : "2026-06-15T12:05:25.551", "ingestTimestamp" : "2026-06-14T04:02:00.747", "mongoId" : "6a2c75bf74d8ee00a0937fd6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 160000, "salaryAnnualMax" : 180000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Regulatory guidance", "Fair lending", "State licensing", "Money transmission", "Compliance management systems", "Vendor risk management", "Regulatory filings", "Regulatory examinations", "Partner bank compliance", "Solutions-oriented", "Regulatory law", "Product counseling", "Compliance management", "Risk management", "Legal analysis", "Compliance oversight", "Fintech", "Consumer financial protection", "UDAAP", "State lending laws", "Money transmission laws", "Partner bank relationships", "Third-party risk management", "Active bar admission" ], "skillCount" : 24, "jobCategory" : "operations", "jobSubcategory" : "legal", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2aa4cf74d8ee00a06b2fab", "title" : "Senior Quality Engineer, Performance and Analytics", "company" : "Ridgeline", "industry" : "Investment Management", "salary" : { "min" : 124500.0, "max" : 156000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, United States", "locations" : [ "New York", "New York", "United States", "Reno", "Nevada", "United States", "San Ramon", "California", "United States" ], "timestamp" : "2026-06-13T21:11:55.500", "fingerprint" : "bef362bbbedad36b96de4af40cc344f422a16e583207f30bbc393e4be86121bd", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://boards.greenhouse.io/ridgeline/jobs/7763603003?gh_jid=7763603003", "externalId" : "7763603003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "OLAP, Columnar technologies, AWS, Azure, Google Cloud, SQL", "professionalSkills" : [ "Performance analytics", "Attribution analysis", "Benchmark analysis", "Financial data integrity", "Business logic", "Risk mitigation" ], "hardSkillsList" : [ "Performance testing", "Attribution testing", "Benchmark testing", "Reporting testing", "Automated testing", "API testing", "Database testing", "Cloud platform testing" ], "softSkillsList" : [ "Analytical thinking", "Complex problem-solving", "Transparency", "Learning", "Teaching" ], "hardSkills" : [ { "name" : "Performance testing", "level" : "intermediate" }, { "name" : "Attribution testing", "level" : "intermediate" }, { "name" : "Benchmark testing", "level" : "intermediate" }, { "name" : "Reporting testing", "level" : "intermediate" }, { "name" : "Automated testing", "level" : "intermediate" }, { "name" : "API testing", "level" : "intermediate" }, { "name" : "Database testing", "level" : "intermediate" }, { "name" : "Cloud platform testing", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Analytical thinking" }, { "name" : "Complex problem-solving" }, { "name" : "Transparency" }, { "name" : "Learning" }, { "name" : "Teaching" } ], "majorSkills" : "Performance analytics, Attribution analysis, Automated testing, Financial data integrity", "majorSkillsList" : [ "Performance analytics", "Attribution analysis", "Automated testing", "Financial data integrity" ], "coreResponsibilities" : "Validate performance and analytics workflows, Validate portfolio performance, Validate attribution, Validate benchmark, Validate reporting experiences, Translate business requirements, Develop test strategies, Execute test strategies, Conduct exploratory testing, Create automated testing solutions, Improve scalability, Improve reliability, Improve release confidence, Improve quality practices, Improve testability, Improve risk mitigation, Analyze customer-reported issues, Analyze production defects, Identify root causes, Drive long-term improvements, Own problems, Seek solutions, Communicate clearly", "teamCollaboration" : "Partner with product managers; Partner with engineers; Partner with domain experts; Collaborate with engineering teams; Collaborate with stakeholders", "projectManagementSkills" : [ "Software development lifecycle" ], "domainKnowledge" : "Investment management; Portfolio performance; Attribution methodologies; Benchmark comparisons; Profit and Loss calculations; Financial data; OLAP; Columnar databases", "domainList" : [ "investment-management", "portfolio-performance", "attribution-methodologies", "benchmark-comparisons", "profit-and-loss-calculations", "financial-data", "olap", "columnar-databases" ], "domainSpecificKnowledge" : [ "Investment management", "Portfolio performance", "Attribution methodologies", "Benchmark comparisons", "Profit and Loss calculations", "Financial data", "OLAP", "Columnar databases" ], "toolProficiency" : [ "GitHub Copilot", "Claude Code", "Cursor", "ChatGPT" ], "communicationSkills" : "Communicate clearly", "continuousLearning" : "Willingness to learn new technologies; Developing expertise in business domain", "innovationCreativity" : "Creative work environment", "problemSolvingSkills" : "Analytical thinking; Identify workflow gaps; Identify complex edge cases; Complex problem-solving", "specialRequirements" : "No employer sponsorship", "outcomesObjectives" : "Ensure accuracy; Ensure reliability; Ensure client confidence; Drive improvements", "qualificationsBasic" : "5+ years Quality Engineering, 5+ years Software Testing, Experience validating complex SaaS applications, Experience validating business-critical workflows, Experience validating applications on cloud native platforms, Experience collaborating with engineering stakeholders, Experience collaborating with product stakeholders, Experience collaborating with business stakeholders, Experience with APIs, Experience with databases, Experience with automated testing frameworks, Work authorized in United States", "qualificationsPreferred" : "Buy-side technology experience, Experience validating ETL pipelines, Experience validating large-scale financial data workflows, Experience with SQL, Experience with analytical databases, Experience testing data-intensive analytics platforms, Experience testing reporting platforms", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "The Performance & Analytics team works on calculating, reporting, and effectively presenting performance and attribution metrics across investments leveraging modern OLAP and Columnar technologies. This includes analysis of returns, benchmark comparisons, and the factors contributing to performance. We are in search of a passionate Quality Engineer to play a critical role in validating and evolving our next generation performance & analytics platform, helping ensure accuracy, reliability, and confidence across sophisticated investment management workflows. Our team is committed to creating a lasting impact on the investment management industry, leveraging AI and leading development practices to bring transformative change. Our team of engineers are building with cutting-edge technologies like Claude Code and Cursor in a fast-moving, creative work environment. At Ridgeline, how we work matters as much as what we build. Ridgeliners act like owners, choose growth over comfort, and communicate with transparency. We assume positive intent, bias toward action, and bring solutions not just problems. We celebrate wins, learn from setbacks, and thrive in a resilient, collaborative, high-performing culture. If this excites you, we’d love to meet you! You must be work authorized in the United States without the need for employer sponsorship. The impact you will have: Validate complex performance and analytics workflows across portfolio performance, attribution, benchmark, and reporting experiences Partner closely with product managers, engineers, and domain experts to ensure business requirements are translated into high-quality client experiences Be involved in the entire software development lifecycle, from requirements and design reviews through implementation and production validation Develop and execute thoughtful test strategies focused on workflow accuracy, financial data integrity, and end-user confidence Conduct exploratory testing to uncover edge cases, workflow inconsistencies, and business logic gaps across integrated financial systems Participate in the creation and construction of automated testing solutions that improve scalability, reliability, and release confidence Collaborate with engineering teams to improve quality practices, testability, and risk mitigation throughout the development lifecycle Analyze customer-reported issues and production defects to identify root causes and drive long-term improvements Think creatively, own problems, seek solutions, and communicate clearly along the way Contribute to a collaborative environment deeply rooted in learning, teaching, and transparency What we look for: 5+ years in a Quality Engineering, Software Testing, or related position validating complex SaaS applications Deep understanding of performance analytics methodologies and practical experience validating TWR, Brinson Attribution, benchmark analysis, and Profit & Loss calculations within investment management platforms Experience validating and triaging business-critical workflows where accuracy, transparency, and data integrity are essential Familiarity working with APIs, databases, and automated testing frameworks Experience validating applications built on cloud native platforms such as AWS, Azure, or Google Cloud Strong analytical thinking with an aptitude for identifying workflow gaps and complex edge cases Experience collaborating closely with engineering, product, and business stakeholders throughout the software development lifecycle Willingness to learn about new technologies while simultaneously developing expertise in a business domain/problem space Understand the value of automated tests at all levels Ability to focus on short-term deliverables while maintaining a big-picture long term perspective Experience with GitHub Copilot, Claude Code, Cursor, or ChatGPT An aptitude for complex problem-solving Ability to communicate with colleagues at all levels Serious interest in having fun at work Bonus: Buy-side technology experience Experience validating ETL pipelines or large-scale financial data workflows Experience with SQL and analytical databases such as OLAP or Columnar systems Experience testing highly data-intensive analytics or reporting platforms About Ridgeline Ridgeline is the first front-to-back system of record for investment managers. Founded by visionary entrepreneur Dave Duffield (co-founder of both PeopleSoft and Workday), the company was created to modernize an industry held back by outdated, disconnected technology. Powered by a single, real-time data set and embedded AI, Ridgeline helps firms automate complexity, accelerate collaboration, and deliver tailored client experiences at scale, without added headcount or risk. Ridgeline is headquartered in Lake Tahoe, with offices in New York, Reno, and the Bay Area, and is recognized by Fast Company as a “Best Workplace for Innovators,” by Frost & Sullivan as a “Technology Innovation Leader,” and by The Software Report as a “Top 100 Software Company.” Ridgeline is proud to be a community-minded, discrimination-free equal opportunity workplace. Ridgeline processes the information you submit in connection with your application in accordance with the Ridgeline Applicant Privacy Statement. Please review the Ridgeline Applicant Privacy Statement in full to understand our privacy practices and contact us with any questions. ***[CHOSE ONE SALARY OPTION, delete the rest] Compensation and Benefits [For New York and California Based Only] The typical starting salary range for new hires in this role is listed below. In select locations (including, the San Francisco Bay Area, CA, and the New York City Metro Area), an alternate range may apply as specified below. The typical starting salary range for this role is: $113,500-$141,500. The typical starting salary range for this role in the select locations listed above is: $124,500-$156,000. Final compensation amounts are determined by multiple factors, including candidate experience and expertise, and may vary from the amount listed above. As an employee at Ridgeline, you’ll have many opportunities for advancement in your career and can make a true impact on the product. In addition to the base salary, Ridgeline employees can participate in our Company Stock Plan subject to the applicable Stock Option Agreement. We also offer rich benefits that reflect the kind of organization we want to be: one in which our employees feel valued and are inspired to bring their best selves to work. These include unlimited vacation, educational and wellness reimbursements, and $0 cost employee insurance plans. Please check out our Careers page for a more comprehensive overview of our perks and benefits. #LI-Hybrid", "summaryDescription" : "Senior Quality Engineer, Performance and Analytics at Ridgeline. Skills: Performance analytics, Attribution analysis, Automated testing, Financial data integrity. Validate performance and analytics workflows. Validate portfolio performance", "postedDate" : "2026-06-11T21:20:50.161", "createdAt" : "2026-06-11T21:20:50.161", "lastUpdated" : "2026-06-13T21:11:55.500", "ingestTimestamp" : "2026-06-11T21:20:50.161", "mongoId" : "6a2aa4cf74d8ee00a06b2fab", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 124500, "salaryAnnualMax" : 156000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Performance testing", "Attribution testing", "Benchmark testing", "Reporting testing", "Automated testing", "API testing", "Database testing", "Cloud platform testing", "Analytical thinking", "Complex problem-solving", "Transparency", "Learning", "Teaching", "Performance analytics", "Attribution analysis", "Financial data integrity", "Benchmark analysis", "Business logic", "Risk mitigation", "Software development lifecycle", "Investment management", "Portfolio performance", "Attribution methodologies", "Benchmark comparisons", "Profit and Loss calculations", "Financial data", "OLAP", "Columnar databases", "GitHub Copilot", "Claude Code", "Cursor", "ChatGPT" ], "skillCount" : 32, "jobCategory" : "engineering", "jobSubcategory" : "quality-engineering", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Investment Management" }, { "id" : "68c2e43bf8b1b0376634c92b", "title" : "Business Intelligence Engineer, P2 Science, Data, and Insights", "company" : "Amazon Development Centre Canada ULC", "industry" : "Business Intelligence, Business Intel Engineer, north america stores", "salary" : { "min" : 76400.0, "max" : 127600.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Vancouver, British Columbia, CAN", "locations" : [ "Vancouver, British Columbia, CAN" ], "timestamp" : "2026-06-15T09:55:25.379", "fingerprint" : "58cefa08c8e6c631da3f1b5712d738e9918d8d4a111892f31a5b797fda68a7e6", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3071384/apply", "externalId" : "727f31ff-d576-4901-8950-4401fc137ada", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Vancouver", "state" : "British Columbia", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "49.2608724,-123.1139520" } ], "locationText" : "Vancouver, British Columbia, Canada", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "SQL, Python, R, Redshift, NoSQL, Tableau, Quicksight, ETL, LLMs", "professionalSkills" : [ "Business intelligence", "Data modeling", "ETL pipelines", "Statistical analysis", "Data visualization", "Pricing strategy", "Promotions strategy", "Anomaly detection", "Business strategy", "Data infrastructure", "Data quality", "Data solutions" ], "hardSkillsList" : [ "Data analysis", "Data modeling", "ETL development", "Data visualization", "Statistical analysis", "Metric development", "SQL querying", "Python scripting", "Anomaly detection", "Reporting systems", "Dashboard creation", "Data quality implementation", "Data solution architecture" ], "softSkillsList" : [ "Curiosity", "Customer obsession", "Entrepreneurial spirit" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "ETL development", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Metric development", "level" : "intermediate" }, { "name" : "SQL querying", "level" : "intermediate" }, { "name" : "Python scripting", "level" : "intermediate" }, { "name" : "Anomaly detection", "level" : "intermediate" }, { "name" : "Reporting systems", "level" : "intermediate" }, { "name" : "Dashboard creation", "level" : "intermediate" }, { "name" : "Data quality implementation", "level" : "intermediate" }, { "name" : "Data solution architecture", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Curiosity" }, { "name" : "Customer obsession" }, { "name" : "Entrepreneurial spirit" } ], "majorSkills" : "Business intelligence, Data engineering, Analytics", "majorSkillsList" : [ "Business intelligence", "Data engineering", "Analytics" ], "coreResponsibilities" : "Spearhead business intelligence initiatives, Develop advanced analytical metrics, Develop advanced analytical models, Present compelling insights, Present recommendations to senior leadership, Harness LLMs, Generate business impacting insights, Lead data-driven discussions, Pioneer new methodologies, Design automated reporting systems, Create intuitive dashboards, Transform complex data, Innovate tools, Simplify processes, Enhance back-end data sources, Improve accuracy, Streamline operations, Implement data quality best practices, Implement modeling best practices, Architect scalable data solutions, Craft compelling narratives from data, Develop effective metrics, Collaborate across teams, Drive adoption of data-driven strategies, Champion a culture of innovation, Seek ways to improve, Seek ways to automate, Stay at forefront of BI trends, Bring developing technologies, Mentor colleagues, Elevate team capabilities", "teamCollaboration" : "Cross-functional teams; Product teams; Across teams", "domainKnowledge" : "Pricing; Promotions; Retail pricing; Customer behavior; Market dynamics", "domainList" : [ "pricing", "promotions", "retail-pricing", "customer-behavior", "market-dynamics" ], "domainSpecificKnowledge" : [ "Pricing", "Promotions", "Retail pricing", "Customer behavior", "Market dynamics" ], "toolProficiency" : [ "Tableau", "Quicksight", "Redshift", "Python" ], "communicationSkills" : "Presenting insights; Presenting recommendations; Crafting narratives", "continuousLearning" : "Learning new technologies; Stay at forefront of BI trends", "innovationCreativity" : "Innovate in fast-paced environment; Pioneer new methodologies; Innovate tools; Innovate processes; Culture of innovation", "problemSolvingSkills" : "Solving complex problems; Simplify complex problems", "outcomesObjectives" : "Drive pricing and promotions decisions; Shape business strategy; Drive customer satisfaction; Influence business growth; Enhance customer experience; Drive efficiency; Maximize impact; Improve accuracy; Streamline operations; Grow with the business; Influence key stakeholders; Shape future of pricing; Shape future of promotions; Drive adoption of strategies; Improve and automate; Elevate team capabilities; Impact customer experience; Impact business growth", "qualificationsBasic" : "3+ years analyzing data, Experience with Redshift, Experience with Oracle, Experience with NoSQL, Experience as BIE, Experience with Tableau, Experience with Quicksight, Experience with data modeling, Experience with warehousing, Experience building ETL, Experience with R, Experience with SAS, Experience with Matlab, Experience developing metrics, Experience presenting recommendations, Experience using SQL, Scripting experience (Python), Bachelors Degree", "qualificationsPreferred" : "Experience with EC2, Experience with DynamoDB, Experience with S3, Experience with Redshift, Experience in data mining, Experience with ETL, Experience using databases, Experience with large-scale datasets, Experience with complex datasets", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Shape How Amazon Serves Millions Through Pricing and Promotions Ready to transform how customers experience Amazon? Join our Pricing & Promotions Science, Data, and Insights team, where your analytical expertise will directly influence pricing and promotions decisions that impact millions of customers globally. Your Impact As a Business Intelligence Engineer, you'll be at the heart of Amazon's data-driven culture, building automated analytics tools that power intelligent pricing and promotions decisions. Your insights will shape strategy, drive customer satisfaction, and influence business growth across one of Amazon's most critical functions. What Makes You a Great Fit - You're a hands-on engineer who thrives on solving complex problems - You have an insatiable curiosity and love learning new technologies - You see opportunities where others see challenges - You build trust through delivery and customer obsession - You bring an entrepreneurial spirit to everything you do What You'll Create - Automated analytics systems that drive pricing and promotions decisions - Sophisticated anomaly detection tools - Data-driven insights that shape business strategy - Solutions that simplify complex problems - Tools that enhance customer experience Why This Role - Direct impact on Amazon's core business decisions - Opportunity to innovate in a fast-paced environment - Work with advanced analytics technologies - Shape the future of retail pricing and promotions - Join a team that values curiosity and creativity Transform data into decisions that matter. Join us in making Amazon the most customer-centric company through intelligent pricing solutions. Key job responsibilities Drive Strategic Insights - Spearhead business intelligence initiatives that directly impact Amazon's pricing and promotions strategy - Develop advanced analytical metrics and models to uncover hidden business opportunities - Present compelling insights and recommendations to senior leadership, influencing key decisions Innovate with Advanced Analytics - Harness the power of Large Language Models (LLMs) to generate business impacting insights - Lead data-driven discussions with Product teams to accelerate growth - Pioneer new methodologies in pricing and promotions analytics, setting industry standards Build Scalable Solutions - Design and implement automated reporting systems that drive efficiency - Create intuitive dashboards that transform complex data into clear, actionable insights - Continuously innovate and simplify tools and processes, maximizing impact Optimize Data Infrastructure - Enhance back-end data sources to improve accuracy and streamline operations - Implement best practices in data quality and modeling - Architect scalable data solutions that grow with the business Influence Through Communication - Craft compelling narratives from data, influencing key stakeholders - Develop effective metrics that shape the future of Amazon's pricing and promotions - Collaborate across teams to drive adoption of data-driven strategies Lead Continuous Improvement - Champion a culture of innovation, constantly seeking ways to improve and automate - Stay at the forefront of BI trends, bringing developing technologies to the team - Mentor colleagues in advanced analytics techniques, elevating team capabilities In this role, you'll be at the forefront of shaping how Amazon prices and promotes products globally. Your analytical expertise will directly impact customer experience and business growth, making you a key player in Amazon's mission to be Earth's most customer-centric company. About the team The Pricing and Promotions (P2) Science, Data and Insights team is at the forefront of Amazon's data revolution, orchestrating a sophisticated ecosystem with hundreds of PBs of data and thousands of active datasets that empower business leaders to create exceptional customer experiences through data-driven pricing and promotional strategies. Our team combines deep engineering expertise with business acumen to manage mission-critical data and insights that influence billions in revenue decisions, while pioneering innovative approaches that transform how Amazon understands customer behavior and market dynamics. Our strength comes from the diverse perspectives and backgrounds of our team members, who bring unique problem-solving approaches to these complex challenges. We're currently implementing an ambitious three-year transformation strategy that will fundamentally reshape how Amazon makes pricing and promotional decisions, focusing on intelligent automation and proactive insights that drive business outcomes. Beyond managing science, data, and insights, we're true strategic partners who translate complex information into actionable intelligence that shapes Amazon's direction across global marketplaces. If you're passionate about solving complex business problems at massive scale while working in a collaborative culture that values both analytical rigor and business impact, you'll find compelling opportunities to grow and make a meaningful difference on our team. Basic Qualifications: - 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience working as a BIE in a technology company - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling - Bachelors Degree Preferred Qualifications: - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary for this position ranges from $76,400/year up to $127,600/year. Salary is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. Applicants should apply via our internal or external career site.", "summaryDescription" : "Business Intelligence Engineer, P2 Science, Data, and Insights at Amazon Development Centre Canada ULC. Skills: Business intelligence, Data engineering, Analytics. Spearhead business intelligence initiatives. Develop advanced analytical metrics", "postedDate" : "2026-06-13T15:15:17.936", "createdAt" : "2026-06-13T15:15:17.936", "lastUpdated" : "2026-06-15T09:55:25.379", "ingestTimestamp" : "2026-06-13T15:15:17.936", "mongoId" : "68c2e43bf8b1b0376634c92b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3071384/apply", "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Data modeling", "ETL development", "Data visualization", "Statistical analysis", "Metric development", "SQL querying", "Python scripting", "Anomaly detection", "Reporting systems", "Dashboard creation", "Data quality implementation", "Data solution architecture", "Curiosity", "Customer obsession", "Entrepreneurial spirit", "Business intelligence", "Data engineering", "Analytics", "ETL pipelines", "Pricing strategy", "Promotions strategy", "Business strategy", "Data infrastructure", "Data quality", "Data solutions", "Pricing", "Promotions", "Retail pricing", "Customer behavior", "Market dynamics", "Tableau", "Quicksight", "Redshift", "Python" ], "skillCount" : 35, "jobCategory" : "other", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "69c94a6a9bc74574cbbb34c3", "title" : "AIT Audit Manager III, Audits and Insights Team", "company" : "ADCI HYD 13 SEZ", "industry" : "Project/Program/Product Management--Non-Tech, Risk Family, customer trust and partner support", "salary" : { "min" : 2500000.0, "max" : 3500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline compensation for an AIT Audit Manager III in Hyderabad, India, adjusted for manager seniority, e-commerce industry, and company size." }, "location" : "Hyderabad, Telangana, IND", "locations" : [ "Hyderabad, Telangana, IND" ], "certifications" : [ "Project Management Professional" ], "timestamp" : "2026-06-14T23:50:22.602", "fingerprint" : "07763fa505560f134fabcb6e2a8d34605f19f40b61247be163542d24ae1205db", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3194316/apply", "externalId" : "5341069b-e2f5-4a76-9ffb-f94f27e67990", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hyderabad", "state" : "Telangana", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "17.3605890,78.4740613" } ], "locationText" : "Hyderabad, Telangana, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 6, "experienceLevel" : "Manager", "professionalSkills" : [ "Audit management", "Risk management", "Process optimization", "Quality assurance" ], "hardSkillsList" : [ "Audit metrics analysis", "Workforce planning", "Resource allocation" ], "softSkillsList" : [ "Leadership", "Strategic vision" ], "hardSkills" : [ { "name" : "Audit metrics analysis", "level" : "intermediate" }, { "name" : "Workforce planning", "level" : "intermediate" }, { "name" : "Resource allocation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Strategic vision" } ], "majorSkills" : "Audit operations, Stakeholder management, Organizational change", "majorSkillsList" : [ "Audit operations", "Stakeholder management", "Organizational change" ], "coreResponsibilities" : "Develop strategic audit initiatives, Execute strategic audit initiatives, Lead large-scale audit organization, Ensure high performance standards, Drive organizational transformation, Drive change management initiatives, Establish governance frameworks, Establish quality assurance programs, Build stakeholder relationships, Maintain stakeholder relationships, Shape audit process, Shape risk management approaches, Influence policy decisions, Influence strategic direction, Oversee complex audit programs, Ensure timely completion of deliverables, Monitor audit metrics, Analyze audit metrics, Provide regular reports, Manage resource allocation, Manage workforce planning, Drive continuous improvement initiatives, Drive process optimization, Address audit findings, Implement corrective actions, Ensure compliance with regulatory requirements, Ensure compliance with internal standards, Drive meeting insights, Convert findings into trends, Convert findings into KPI, Convert findings into metrics, Lead Kingpin goals, Own Kingpin goals", "teamCollaboration" : "Senior stakeholders across business", "projectManagementSkills" : [ "PMP" ], "domainKnowledge" : "Account enforcements; Listing enforcements; Appeals decisions; Reinstatement decisions; Perfect Order Experience; Selling Partner Risk; Abuse prevention; Financial disincentives; Automated Brand Protection; Product Review Abuse; Restricted Products; Safety compliance; Know Your Customer; Product Safety Compliance", "domainList" : [ "account-enforcements", "listing-enforcements", "appeals-decisions", "reinstatement-decisions", "perfect-order-experience", "selling-partner-risk", "abuse-prevention", "financial-disincentives", "automated-brand-protection", "product-review-abuse", "restricted-products", "safety-compliance", "know-your-customer", "product-safety-compliance" ], "domainSpecificKnowledge" : [ "Account enforcements", "Listing enforcements", "Appeals decisions", "Reinstatement decisions", "Perfect Order Experience", "Selling Partner Risk", "Abuse prevention", "Financial disincentives", "Automated Brand Protection", "Product Review Abuse", "Restricted Products", "Safety compliance", "Know Your Customer", "Product Safety Compliance" ], "toolProficiency" : [ "Microsoft Office" ], "communicationSkills" : "Executive-level communication", "problemSolvingSkills" : "Root cause analysis", "outcomesObjectives" : "Improve enforcement accuracy; Improve appeal handling accuracy; Improve First Contact Resolution rate; Reduce Seller enforcements; Reduce Seller appeals", "qualificationsBasic" : "6+ years compliance experience, 6+ years audit experience, 6+ years risk management experience, Advanced Microsoft Office proficiency, Bachelor's degree or equivalent", "qualificationsPreferred" : "Project Management Professional certification, Lean principles implementation experience, Six Sigma methodologies experience, Master's degree or equivalent", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Audits and Insights team (AIT) – SPT Audit program measures accuracy of account enforcements, listing enforcements, all appeals and reinstatement decisions through audits on a statistically significant sample across Perfect Order Experience, Selling Partner Risk & Abuse, Financial Disincentives, Automated Brand Protection, Andon, Product Review Abuse, Restricted Products, Safety, Know Your Customer & Product Safety & Compliance (PSC) to name a few. We perform audits and measure the coverage and accuracy via director level goals and generate actionable insights from our audits to improve enforcement accuracy, appeal handling accuracy, First Contact Resolution (FCR) rate and eliminate unnecessary Seller friction by identifying ways to reduce Seller enforcements and appeals. We are committed to maintaining and advancing the trust of our Sellers by raising the bar through our Audits. The Audit Manager III is a senior leadership position responsible for directing and managing a large-scale audit operation with oversight of 120-150 auditors. This role requires strategic vision, executive-level communication skills, and the ability to drive organizational change while ensuring operational excellence. Key job responsibilities • Develop and execute strategic audit initiatives aligned with organizational objectives • Lead a large-scale audit organization, including managers and senior auditors, ensuring high performance standards and professional growth • Drive organizational transformation and change management initiatives • Establish governance frameworks and quality assurance programs • Build and maintain relationships with senior stakeholders across the business to shape audit process and risk management approaches • Influence policy decisions and strategic direction at an organizational level • Oversee complex audit programs and ensure timely completion of deliverables • Monitor and analyze audit metrics, providing regular reports to senior management • Manage resource allocation and workforce planning for optimal operational efficiency • Drive continuous improvement initiatives and process optimization • Collaborate with stakeholders to address audit findings and implement corrective actions • Ensure compliance with regulatory requirements and internal standards . Drive meeting insights through the output of the audit data. Convert findings into meaning full trends, KPI and metrics. Lead and Own Kingpin goals Basic Qualifications: - 6+ years of compliance, audit or risk management experience - Knowledge of Microsoft Office products and applications at an advanced level - Bachelor's degree or equivalent Preferred Qualifications: - Project Management Professional (PMP) or equivalent certification - Experience leveraging technology and implementing lean principles / Six Sigma methodologies to drive process improvements or equivalent - Master's degree or equivalent Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "AIT Audit Manager III, Audits and Insights Team at ADCI HYD 13 SEZ. Skills: Audit operations, Stakeholder management, Organizational change. Develop strategic audit initiatives. Execute strategic audit initiatives", "postedDate" : "2026-06-13T03:02:44.858", "createdAt" : "2026-06-13T03:02:44.858", "lastUpdated" : "2026-06-14T23:50:22.602", "ingestTimestamp" : "2026-06-13T03:02:44.858", "mongoId" : "69c94a6a9bc74574cbbb34c3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3194316/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Audit metrics analysis", "Workforce planning", "Resource allocation", "Leadership", "Strategic vision", "Audit operations", "Stakeholder management", "Organizational change", "Audit management", "Risk management", "Process optimization", "Quality assurance", "PMP", "Account enforcements", "Listing enforcements", "Appeals decisions", "Reinstatement decisions", "Perfect Order Experience", "Selling Partner Risk", "Abuse prevention", "Financial disincentives", "Automated Brand Protection", "Product Review Abuse", "Restricted Products", "Safety compliance", "Know Your Customer", "Product Safety Compliance", "Project Management Professional", "Microsoft Office" ], "skillCount" : 29, "jobCategory" : "project-management", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69cf3f092beec4dd3d934339", "title" : "Consultant, Analytics & Insights", "company" : "Amazon Advertising LLC", "industry" : "Sales, Advertising, Account Management, Professional Services", "salary" : { "min" : 50000.0, "max" : 195400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-15T04:39:48.842", "fingerprint" : "e2b37cab20fd5cb9a4e410b3e2257ef368cb9d67aa5a219566ee27dfeeeaa7e6", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10381284/apply", "externalId" : "3cfa8739-28a1-42fa-b947-45d1e17f1ab9", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL, R, Stata, Python", "professionalSkills" : [ "Data analysis", "Client facing", "Marketing strategy", "Brand advertising", "Media sales", "Online advertising" ], "hardSkillsList" : [ "Data analysis", "Complex query writing", "Data translation" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Complex query writing", "level" : "intermediate" }, { "name" : "Data translation", "level" : "intermediate" } ], "majorSkills" : "Analytics, Insights, Data analysis, Client consulting", "majorSkillsList" : [ "Analytics", "Insights", "Data analysis", "Client consulting" ], "coreResponsibilities" : "Deliver insights for advertisers, Be an analytical consultant for advertisers, Provide relevant insights for strategy discussions, Provide relevant insights for negotiations, Advance relationships with senior marketing decision makers, Establish oneself as go-to expert, Develop expertise in Amazon’s proprietary metrics, Evolve how we analyze data, Evolve how we communicate data, Drive decisions that increase ease of use of, Drive decisions that increase availability of data, Conduct analyses leveraging untapped datasets, Write documents with recommendations, Influence how partners teams operate", "teamCollaboration" : "Work with sales; Work with product; Work with retail; Work with business partners; Work with internal teams; Work with external partners; Work with partners teams", "domainKnowledge" : "Digital advertising; Online advertising; Performance advertising", "domainList" : [ "digital-advertising", "online-advertising", "performance-advertising" ], "domainSpecificKnowledge" : [ "Digital advertising", "Online advertising", "Performance advertising" ], "communicationSkills" : "Communicate recommendations; Compelling fashion", "problemSolvingSkills" : "Data-driven insights; Actionable insights; Actionable recommendations", "outcomesObjectives" : "Drive their businesses forward; Improve advertiser campaigns; Unlock business opportunities; Increase ease of use of data; Increase availability of data; Measurably more successful with Amazon", "qualificationsBasic" : "Experience translating technical aspects into actionable insights, Advanced SQL & ability to write complex queries, 5+ years digital advertising client-facing experience, 4+ years marketing/brand advertising/media sales experience, Experience conducting sophisticated analysis of complex data, Knowledge of data analysis languages (R, Stata, Python), Experience using customer service skills, Experience using communication skills, Experience using interpersonal skills", "qualificationsPreferred" : "Experience with advertising publishers, Experience with marketing/creative agencies, Master's degree or above in marketing, advertising, or business, 8+ years digital ad sales experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon Advertising exists at the intersection of marketing and ecommerce and offers advertisers a rich array of innovative advertising solutions across Amazon owned properties, as well as third party properties Amazon operates. We believe that advertising, when done well, can greatly enhance the value of the customer experience and generate a positive return on investment for our advertising partners. We are currently looking for a highly skilled and motivated consultant, Analytics & Insights to join the team. This role is a key member of the customer success team at Amazon Advertising, working with sales, product, retail and other Amazon business partners to analyze and improve advertisers’ performance on Amazon, in support of their marketing initiatives. Consultants, Analytics & Insights work with Amazon's unique data and translate it into high-quality and actionable insights and recommendations to improve the effectiveness of advertiser campaigns and unlock business opportunities. Day to day, the activities include analyzing metrics of success for a business or category, developing data-driven insights and recommendations and communicating recommendations in a clear and compelling fashion. Key job responsibilities • Deliver insights for some of the world’s largest advertisers to drive their businesses forward. • Be an analytical consultant for advertisers, by providing relevant insights that will be incorporated into upfront strategy discussions and negotiations. • Advance relationships with senior marketing decision makers (e.g. senior director, c-level) and establish oneself as go-to expert in at least one advanced analytical area of advertising. • Develop great expertise in Amazon’s proprietary metrics, working to constantly evolve how we analyze and communicate data-driven insights to our advertisers. • Drive decisions that increase the ease of use and availability of data to both internal teams and external partners. Conduct analyses which leverage previously untapped datasets. • Write documents with recommendations that influence how partners teams with Amazon Advertising operate, such as Account Management, Sales, or Product. About the team The Analytics & Insights (A&I) organization develops actionable insights using Amazon’s unique data to influence how advertisers promote their businesses. Our insights enhance their marketing decision-making, leading to them to be measurably more successful with Amazon. Basic Qualifications: - Experience translating technical aspects of analysis and metrics into actionable insights for the advertiser and both technical and non-technical stakeholders - Experience in advanced SQL & ability to write complex queries from scratch from multiple tables - 5+ years of digital advertising and client facing roles with a focus on data analysis experience - 4+ years of marketing, brand advertising, media sales or online advertising work and close work with senior advertisers and agency stakeholders experience - Experience conducting sophisticated and creative analysis of complex data and translate the results into actionable deliverables, messages, and presentations - Knowledge of data analysis languages (e.g., R, Stata, Python, etc.) or other statistical software - Experience using strong customer service, communication, and interpersonal skills Preferred Qualifications: - Experience with advertising publishers and marketing/creative agencies - Master's degree or above in marketing, advertising, business or equivalent - 8+ years of digital ad sales as an individual contributor selling performances based advertising or similiar offering experience Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, NY, New York - 144,500.00 - 195,400.00 USD annually", "summaryDescription" : "Consultant, Analytics & Insights at Amazon Advertising LLC. Skills: Analytics, Insights, Data analysis, Client consulting. Deliver insights for advertisers. Be an analytical consultant for advertisers", "postedDate" : "2026-06-13T09:42:10.264", "createdAt" : "2026-06-13T09:42:10.264", "lastUpdated" : "2026-06-15T04:39:48.842", "ingestTimestamp" : "2026-06-13T09:42:10.264", "mongoId" : "69cf3f092beec4dd3d934339", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10381284/apply", "salaryAnnualMin" : 50000, "salaryAnnualMax" : 195400, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Complex query writing", "Data translation", "Analytics", "Insights", "Client consulting", "Client facing", "Marketing strategy", "Brand advertising", "Media sales", "Online advertising", "Digital advertising", "Performance advertising" ], "skillCount" : 13, "jobCategory" : "marketing", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2aa2bf74d8ee00a06ad577", "title" : "Insights and Strategic Research Associate Managing Consultant", "company" : "Ketchum", "industry" : "Public Relations", "salary" : { "min" : 85000.0, "max" : 95000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Arlington, Virginia, United States", "locations" : [ "Arlington", "Virginia", "United States", "Atlanta", "Georgia", "United States", "Chicago", "Illinois", "United States", "Dallas", "Texas", "United States", "Los Angeles", "California", "United States", "New York", "New York", "United States", "Raleigh", "North Carolina", "United States", "San Francisco", "California", "United States" ], "timestamp" : "2026-06-14T20:03:43.494", "fingerprint" : "38d80e537ce169655f811bbc36c19e1ee048ab8580ddaea503be5805780001dc", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/ketchumuscareers/jobs/5075601007", "externalId" : "5075601007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Arlington", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "38.8769326,-77.0893094" } ], "locationText" : "Arlington, Virginia, United States", "experienceLevel" : "Manager", "professionalSkills" : [ "Client service orientation", "Teamwork orientation", "Business acumen", "Communications landscape understanding" ], "hardSkillsList" : [ "Original survey research", "Qualitative research", "Quantitative research", "Data analysis", "Reporting findings", "Research proposals", "Analytics proposals", "Measurement proposals" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Original survey research", "level" : "intermediate" }, { "name" : "Qualitative research", "level" : "intermediate" }, { "name" : "Quantitative research", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Reporting findings", "level" : "intermediate" }, { "name" : "Research proposals", "level" : "intermediate" }, { "name" : "Analytics proposals", "level" : "intermediate" }, { "name" : "Measurement proposals", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Consumer research, Insights, Data storytelling, Project management", "majorSkillsList" : [ "Consumer research", "Insights", "Data storytelling", "Project management" ], "coreResponsibilities" : "Develop client relationships, Develop account team relationships, Oversee project aspects, Manage day-to-day work, Manage client relationships, Manage account relationships, Manage billing, Manage growth, Develop original research studies, Write questionnaires, Write interview guides, Write focus group guides, Oversee data collection vendors, Analyze research results, Develop research proposals, Develop analytics proposals, Develop measurement proposals, Analyze findings, Report findings, Present results to account team, Present results to client, Serve as research specialist, Serve as analysis specialist, Stay up to date with trends, Stay up to date with tools, Stay up to date with techniques, Counsel clients on methodologies, Counsel account teams on methodologies, Counsel research team on methodologies, Counsel clients on tools, Counsel account teams on tools, Counsel research team on tools, Counsel clients on best practices, Counsel account teams on best practices, Counsel research team on best practices, Participate in analytics projects, Drive analytics projects, Participate in analytics initiatives, Drive analytics initiatives, Develop new methodologies, Develop new reports, Develop new product offerings, Determine best methodologies, Determine best tools, Create successful social programs, Create successful digital programs, Create successful paid programs", "teamCollaboration" : "Client account teams; Other specialty teams", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Communications landscape; Consumer research; Brand strategy; Customer acquisition; Campaign management; Growth metrics", "domainList" : [ "communications-landscape", "consumer-research", "brand-strategy", "customer-acquisition", "campaign-management", "growth-metrics" ], "domainSpecificKnowledge" : [ "Communications landscape", "Consumer research", "Brand strategy", "Customer acquisition", "Campaign management", "Growth metrics" ], "communicationSkills" : "Public speaking; Presentation", "continuousLearning" : "Development opportunities", "problemSolvingSkills" : "Data-driven problem solving", "qualificationsBasic" : "3 to 5 years research experience, 3 to 5 years analytics experience, 3 to 5 years media analysis experience, Management experience, Ability to work on multiple projects concurrently, Statistical skills, Writing skills, Public speaking skills, Presentation skills, Understanding original quantitative research, Understanding statistics", "qualificationsPreferred" : "Advanced degree in relevant field, Research supplier/vendor experience, Budget management experience", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About Golin Ketchum Golin Ketchum is the most awarded public relations agency of the decade. We create change that matters for our clients and our people. The kind of change that earns attention and shapes culture to build business. Formed in 2026 from the merger of two iconic PR agencies, Golin Ketchum combines fearless creative and strategic excellence, fueled by Omnicom’s industry-leading data and AI solutions, to uncover powerful insights and execute work that builds and protects the world’s greatest companies. With specialized expertise across consumer and brands, corporate affairs, healthcare, technology, and food, agriculture and nutrition, we deliver integrated, high-impact communications services at scale. At Golin Ketchum, culture matters. We are fiercely ambitious yet fundamentally kind and collaborate obsessively with the best clients in the world. Want to create change that matters with us? Here are the details: Overview Do you enjoy telling stories through data? Interested in solving client challenges with data? Golin Ketchum Analytics is looking for a Manager, Consumer Research and Insights! This is a perfect role for an experienced researcher or specialist that thrives working in a fast-paced environment. The person coming into this role should have expertise in original survey research and be able to lead a team and manage projects from start to finish, as well as independently own programs. Responsibilities Developing relationships with client and account teams. This includes regular and proactive one-on-one interaction with local account teams, and direct correspondence with account teams and clients Overseeing and managing all aspects of a project largely independently. From the day-to-day work, to client relationships, to account relationships, billing and growth Development of original, large scale/global qualitative and quantitative research studies, including writing questionnaires/interview/focus group guides, overseeing data collection vendors, and analyzing the results etc. Development of research, analytics and measurement proposals Analysis and reporting of findings in a way that tells a concise and clear story with the data and provides answers to the client’s main questions/objectives; Presentation of results to account team and client Serving as a specialist and advisor in research and analysis, to include: Staying up to date with trends, tools and techniques and counseling clients, account teams and other research team members on methodologies, tools and best practices Participating in or driving analytics projects and initiatives Developing new methodologies, reports or product offerings to meet existing client needs and to drive new business Determining the best methodologies and tools to use to solve client challenges and deliver impact to their business Work in collaboration with other specialty teams within the agency to assess and create successful social, digital and paid programs for the client. Qualifications 3 to 5 years of research, analytics and/or media analysis experience; advanced degree in a relevant field desired but not necessary Strong orientation toward client service and teamwork Strong business acumen and understanding of the communications landscape Management experience The ability to work on multiple projects concurrently Strong statistical, writing, and public speaking/presentation skills Strong understanding original/primary quantitative research and statistics Research supplier/vendor/budget management experience preferred The salary range for this position is $85,000 to $95,000. The salary of the finalist selected for this role will be based on a variety of factors, including but not limited to, education, years of experience, past training, skills and abilities of applicant, internal equity and local geographic market data. A range of medical, dental, vision, 401(k) matching, paid time off, and/or other benefits also are available. #LI-Hybrid What We Offer Hybrid Workplace: Three days a week in the office Robust benefits program, effective within 30 days of hire Paid maternity/paternity leave Family Forming Benefits Employee Recognition Program Generous paid time off includes vacation, wellness, and extended holiday schedule Various development opportunities to enhance personal and professional life Tuition reimbursement Monthly Cell Phone & Wi-Fi reimbursement Interested? We’ve got an opportunity for you.", "summaryDescription" : "Insights and Strategic Research Associate Managing Consultant at Ketchum. Skills: Consumer research, Insights, Data storytelling, Project management. Develop client relationships. Develop account team relationships", "postedDate" : "2026-06-11T20:49:51.164", "createdAt" : "2026-06-11T20:49:51.164", "lastUpdated" : "2026-06-14T20:03:43.494", "ingestTimestamp" : "2026-06-11T20:49:51.164", "mongoId" : "6a2aa2bf74d8ee00a06ad577", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 85000, "salaryAnnualMax" : 95000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Original survey research", "Qualitative research", "Quantitative research", "Data analysis", "Reporting findings", "Research proposals", "Analytics proposals", "Measurement proposals", "Leadership", "Consumer research", "Insights", "Data storytelling", "Project management", "Client service orientation", "Teamwork orientation", "Business acumen", "Communications landscape understanding", "Communications landscape", "Brand strategy", "Customer acquisition", "Campaign management", "Growth metrics" ], "skillCount" : 22, "jobCategory" : "other", "jobSubcategory" : "ketchum", "dataQualityScore" : 0.8888889, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Public Relations" }, { "id" : "6a21770274d8ee00a0c1b896", "title" : "Software Development Engineer, FTV Frameworks and Performance", "company" : "ADCI", "industry" : "Software Development, alexa and amazon devices", "salary" : { "min" : 1850000.0, "max" : 2750000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Software Development Engineer in Bengaluru, India, adjusted for the Technology industry and company size." }, "location" : "Bengaluru, Karnataka, IND", "locations" : [ "Bengaluru, Karnataka, IND" ], "timestamp" : "2026-06-15T01:05:57.833", "fingerprint" : "c336f6c2f8a43f2b2844cdf8cca128b629c1414bffcd8becd6e5947e297087d6", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10435882/apply", "externalId" : "16f48367-ec7f-4466-92ea-db115b9964c6", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, Karnataka, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Android, Linux, IOS, C++, Java, Rust, C, React Native, Python, AI", "professionalSkills" : [ "System design", "Architecture review", "Performance evaluation" ], "hardSkillsList" : [ "Data analysis", "Debugging", "Root-cause analysis" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Debugging", "level" : "intermediate" }, { "name" : "Root-cause analysis", "level" : "intermediate" } ], "majorSkills" : "Android internals, Operating system performance, Frameworks", "majorSkillsList" : [ "Android internals", "Operating system performance", "Frameworks" ], "coreResponsibilities" : "Contribute to architecture and operating system performance, Drive optimizations to user experience, Take part in implementation and delivery of Android, Take part in implementation and delivery of performance, Work closely with application teams, Work closely with partners, Take product from concept to customer release, Ensure highest level of quality, Create innovative new products, Perform new Software architecture review, Contribute to development of latest features, Contribute to development of enhancements, Develop advanced tools, Develop robust infrastructure, Perform sophisticated data analysis, Generate insightful reports, Debug and Root-Cause System Stability, Debug and Root-Cause Performance issues, Instrument Fire OS, Monitor Fire OS, Enhance Fire OS, Develop applications, Extend features, Create new benchmarks, Suggest optimizations, Implement optimizations, Influence architecture decisions, Specify system requirements, Collaborate with teams incorporating features", "teamCollaboration" : "Application teams; Partners", "domainKnowledge" : "Android internals; Operating system; Consumer electronics; Mobile devices; Tablet devices; TV devices; System domains", "domainList" : [ "android-internals", "operating-system", "consumer-electronics", "mobile-devices", "tablet-devices", "tv-devices", "system-domains" ], "domainSpecificKnowledge" : [ "Android internals", "Operating system", "Consumer electronics", "Mobile devices", "Tablet devices", "TV devices", "System domains" ], "innovationCreativity" : "Create innovative new products", "problemSolvingSkills" : "Debugging; Problem-solving skills; Root-Cause Analysis", "qualificationsBasic" : "3+ years professional software development, 2+ years design or architecture, Programming with at least one software language", "qualificationsPreferred" : "3+ years full software development life cycle, Bachelor's degree in computer science", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Job summary Fire TV is the #1 best-selling streaming media player in the U.S. We are looking for a strong software development engineer to contribute to the architecture and operating system level performance. In this role you will have the opportunity to drive optimizations to the user experience of all Fire TV devices. The ideal candidate has great debugging and problem-solving skills and deep knowledge of Android internals. You will also have an interest in developing automated solutions for consumer-facing products, strong technical ability, excellent organizational skills, great communication skills, a motivation to achieve results in a fast-paced environment. Key job responsibilities As a Software Development Engineer in the Device OS, you will take part in the implementation and delivery of Android frameworks and performance features for devices. You will work closely with the application teams, as well as partners to take the product from concept to customer release while ensuring the highest level of quality for your deliverables. You must have in-depth expertise working with Android frameworks stack or any high-level Operating system such as Linux or IOS. You must enjoy working on a variety of system domains that are typically found in a consumer electronics mobile, tablet or a TV device. In this role, you will: * Create innovative new products that are used by millions of users * Perform new Software architecture review for future products and SoCs platform. * Contribute to the development of latest features and enhancements for the FTV Android/Linux OS frameworks. The ideal candidate should possess strong proficiency in at least one of the following programming languages: C++, Java, Rust, C, or React Native. * Develop advanced tools and robust infrastructure leveraging AI to perform sophisticated data analysis and generate insightful reports. The candidate should posses strong proficiency in scripting languages like Python. * Debug and Root-Cause System Stability & Performance issues on FTV devices. * Instrument, monitor and enhance Fire OS for every Fire TV device * Develop applications, extend features, and create new benchmarks for performance evaluation * Suggest and implement optimizations to Fire OS * Influence architecture decisions for best performance * Specify system requirements for upcoming Fire TV devices * Collaborate with teams incorporating features into Fire TV for optimal performance and user-experience Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Software Development Engineer, FTV Frameworks and Performance at ADCI. Skills: Android internals, Operating system performance, Frameworks. Contribute to architecture and operating system performance. Drive optimizations to user experience", "postedDate" : "2026-06-13T04:27:12.193", "createdAt" : "2026-06-13T04:27:12.193", "lastUpdated" : "2026-06-15T01:05:57.833", "ingestTimestamp" : "2026-06-13T04:27:12.193", "mongoId" : "6a21770274d8ee00a0c1b896", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10435882/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data analysis", "Debugging", "Root-cause analysis", "Android internals", "Operating system performance", "Frameworks", "System design", "Architecture review", "Performance evaluation", "Operating system", "Consumer electronics", "Mobile devices", "Tablet devices", "TV devices", "System domains" ], "skillCount" : 15, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2ab5c874d8ee00a06de405", "title" : "Senior Coordinator, Performance and Engagement Programmes", "company" : "Lincoln International", "industry" : "Investment Banking", "salary" : { "min" : 65000.0, "max" : 85000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Coordinator in Financial Services in Frankfurt am Main, Germany, adjusted for mid-seniority and company size." }, "location" : "Frankfurt am Main, Hessen, Germany", "locations" : [ "Frankfurt am Main", "Hessen", "Germany" ], "timestamp" : "2026-06-14T22:11:53.003", "fingerprint" : "325c97586bcf7142673fe4c653acc0bb7d3427f4f35d1ab46f67ccf157bbcd65", "source" : "greenhouse", "language" : "en", "applyUrl" : "http://www.lincolninternational.com/greenhouse/?gh_jid=7992514", "externalId" : "7992514", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Frankfurt am Main", "state" : "Hessen", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "50.1106444,8.6820917" } ], "locationText" : "Frankfurt am Main, Hessen, Germany", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Talent management", "Employee relations", "Organizational development", "Performance management", "Talent development", "Employee engagement", "Onboarding", "Alumni program development", "DEI programs" ], "hardSkillsList" : [ "Data analysis", "Reporting", "Process refinement", "Performance analysis", "Stakeholder engagement", "Change management", "Program execution", "Systems integration", "KPI definition" ], "softSkillsList" : [ "Listening skills", "Problem solving", "Integrity", "Confidence", "People oriented style", "Ambition" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Reporting", "level" : "intermediate" }, { "name" : "Process refinement", "level" : "intermediate" }, { "name" : "Performance analysis", "level" : "intermediate" }, { "name" : "Stakeholder engagement", "level" : "intermediate" }, { "name" : "Change management", "level" : "intermediate" }, { "name" : "Program execution", "level" : "intermediate" }, { "name" : "Systems integration", "level" : "intermediate" }, { "name" : "KPI definition", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Listening skills" }, { "name" : "Problem solving" }, { "name" : "Integrity" }, { "name" : "Confidence" }, { "name" : "People oriented style" }, { "name" : "Ambition" } ], "majorSkills" : "Performance management, Employee engagement, Talent development, Onboarding programs", "majorSkillsList" : [ "Performance management", "Employee engagement", "Talent development", "Onboarding programs" ], "coreResponsibilities" : "Manage Performance Review Cycles for European bankers, Oversee performance management processes in Europe, Support development of performance dashboards, Support annual Managing Director performance management process, Analyze review outcomes and developmental action points, Assist with rollout of new Performance Management system, Lead European Employee Onboarding Effort, Manage, execute, coordinate onboarding at all levels, Further develop junior banker onboarding approach, Develop and execute intern onboarding process, Identify measures to support onboarding, Evaluate onboarding effectiveness, Lead pan-European execution of engagement and development programmes, Manage and plan Banker Teach-in efforts, Manage and run pan-European Mentoring program, Assist with Engagement Survey reporting, Support banker AI efforts, Lead development and launch of European Alumni Program, Support DEI related programmes, Partner with local HR Business Partners", "teamCollaboration" : "Global Talent team; European Talent team; Local HR Business Partners; Regional leadership; Global leadership", "projectManagementSkills" : [ "Project management", "Organization", "Prioritization", "Change management", "Rollout planning" ], "domainKnowledge" : "Performance management; Talent development; Employee engagement; Professional services environment; European HR practices", "domainList" : [ "performance-management", "talent-development", "employee-engagement", "professional-services-environment", "european-hr-practices" ], "domainSpecificKnowledge" : [ "Performance management", "Talent development", "Employee engagement", "Professional services environment", "European HR practices" ], "toolProficiency" : [ "IT systems", "AI", "LMS", "PowerPoint" ], "communicationSkills" : "Written communication; Verbal communication; Clear narratives; Visually compelling slides", "problemSolvingSkills" : "Problem solving; Analytical skills; Data manipulation", "qualificationsBasic" : "3-5 years experience in Development and Training, University degree, Fluent German and English language skills", "qualificationsPreferred" : "Business-related degree, Another European language", "remoteFriendly" : false, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Lincoln International, Inc. (NYSE: LCLN) is a trusted investment banking advisor to business owners and senior executives of leading private equity firms and their portfolio companies and to public and privately held companies. Our services include mergers and acquisitions advisory, private funds and capital markets advisory, and valuations and fairness opinions. The global enterprise is comprised of a tightly integrated team of more than 1,400 professionals in more than 30 offices in 14 countries, offering an unobstructed perspective on the global private capital markets, backed by superb execution and a deep commitment to client success. With extensive industry knowledge and relationships, timely market intelligence and strategic insights, we forge deep, productive client relationships that endure for decades. Connect with us to learn more at www.lincolninternational.com. At Lincoln International, we know that the success of our global organization is a direct outcome of the strength of our people. We encourage diversity of thought and create talent density by attracting, retaining and engaging high performers from all demographics, backgrounds and perspectives. We value diversity, equity and inclusion as a catalyst to foster innovation and creative problem solving, access the best candidates and adapt to a highly dynamic, competitive environment. We know that employing a diverse team and valuing the unique perspectives of our people allows us to better understand and serve the needs of our clients. Lincoln International is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We encourage you to read more about our commitment to diversity and Environmental, Social & Governance (ESG) efforts. Duties & Responsibilities: The Senior Coordinator, Performance and Engagement Programmes position at Lincoln International provides an excellent opportunity to work in a demanding, yet supportive, team-oriented environment and support the organization with key development, engagement and performance management topics. The scope of the role combines some elements to strategically enhance existing efforts, launch new initiatives, as well as operationally and administratively execute current programmes and cycles. The Senior Coordinator, Performance and Engagement Programmes serves as a liaison between the firm’s Global and European Talent and HR teams and designated country and sector organisations. This role will report directly into the Global Talent team based in the U.S., with dotted line reporting relationships and meaningful interaction with the talent team in Europe. Based in Frankfurt, Germany, the Senior Coordinator, Performance and Engagement Programmes is responsible for the coordination of performance management and internal talent development and engagement programmes and initiatives across all levels and functions in Europe. More specifically, we envision the Senior Coordinator, Performance and Engagement Programmes will be tasked with the following: Manage Performance Review Cycles for European bankers, functional and administrative staff Manage and oversee the execution of performance management processes in Europe, including 6-monthly performance cycle administration, analysis, review material compilation, communication, review meeting management and coordination, and reporting in close collaboration with local, regional and global leadership teams Support the development of dashboards and other performance-related analyses for HR Business Partners and leaders to enable effective monitoring, reporting and strategic decision-making Support the annual Managing Director performance management process, ensuring effective coordination, administration, and stakeholder engagement Ensure Review outcomes and developmental action points are analysed and reflected in overall training offering and individual plans Assist with the rollout and implementation of a new Performance Management system, including rollout planning, change management, stakeholder communications as well as continuous process refinement Lead the European Employee Onboarding Effort Manage, execute, coordinate and schedule onboarding at all levels to facilitate professional and cultural firm integration, engagement and performance Further develop the pan-European junior banker onboarding approach as a combination of global, European and local efforts Develop and execute a pan-European intern, functional and administrative onboarding process Leverage existing materials and resources and identify new measures to support, facilitate and further refine the above Identify ways to evaluate effectiveness of the above with a view to enhance onboarding programmes and contribute to the best employee experience Lead the pan-European execution of other key internal employee engagement and development programmes Manage and plan Banker Teach-in efforts and monthly sessions, incl associated recording and reporting Manage and run the pan-European Mentoring program, incl systems integrations Assist with annual Engagement Survey reporting, analysis and action planning Support Lincoln’s internal banker AI efforts as it relates to training and other AI initiatives Lead the development and launch of a European Alumni Program, defining its strategy, objectives, programme framework, and KPIs while leveraging best practices from the established U. S. Alumni Program Support DEI related programmes, e. g. diversity mentoring, female internship teach-ins, resource groups and others Partner with local HR Business Partners in Europe to ensure compliance with all mandatory country-specific training requirements Support the Talent function with analytics in relation to the above We anticipate this role will evolve as the Senior Coordinator, Performance and Engagement Programmes makes strategic recommendations on how the role can best serve their designated business unit(s) and the broader organization. Qualifications: Interested candidates should meet the following requirements: Experience of running performance management cycles within a professional services organization Prior touch points with professionalized induction programmes Has had exposure to implementing and running internal engagement programs such as mentoring, DEI, etc. Excellent project management, organization and prioritization skills, ability to adapt to business changes Ability and experience in leveraging AI Entrepreneurial professional with strong listening skills, who enjoys problem solving and presenting recommendations that will benefit the full organization Authentic individual with high integrity, whose personal and professional values are consistent with Lincoln’s Culture Statement (Excellence, Entrepreneurship, Integration, Collaboration, Integrity) Confident personality, comfortable working in a highly professional and fast-moving environment, with considerable empowerment to move topics forward People oriented style, can build relationships, team player Driven and ambitious professional who has interest in shaping the broader European Talent agenda Other Qualifications: 3-5 years of experience in a Development and Training function within a professional services environment University degree, ideally business-related Strong written and verbal communication skills (clear, simple, situational, multi-level, multi-cultural) Proficient with IT, AI, and Systems to ensure a continuous development of our LMS and user experience, as well as back-end reporting Strong PowerPoint skills with the ability to craft clear narratives and visually compelling slides that communicate key messages effectively Excellent analytical skills, comfortable with data and excel, manipulating data and working with charts Languages: Fluent German and English language skills, another European language (e. g. French) will be of advantage Additional Information: Lincoln International is not currently hiring individuals for this position who now or in the future require sponsorship for employment visa status. Click here to view Lincoln International's Candidate Privacy Notices. Lincoln International is a trade name for Lincoln International, Inc. and its subsidiaries and affiliates, which include the following licensed entities: (i) Lincoln International LLC and MarshBerry Capital, LLC (United States), SEC-registered broker-dealers and a members of FINRA (www.finra.org) and SIPC (www.sipc.org) (investment banking services) and (ii) Lincoln International LLP (FRN 474606) and IMAS Corporate Finance LLP (FRN 553889) (United Kingdom), authorized and regulated by the U. K. Financial Conduct Authority. No entity affiliated with Lincoln International, LP provides banking or securities brokerage services, nor is any such affiliate subject to FINMA supervision in Switzerland or similar regulatory authorities regarding such activities in other jurisdictions. Retail clients are NOT the intended recipients of our communications or services and should not act upon this communication. © 2026 Lincoln International LLC. All Rights Reserved. 110 North Wacker Drive | 51st Floor | Chicago | Illinois | 60606 | United States.", "summaryDescription" : "Senior Coordinator, Performance and Engagement Programmes at Lincoln International. Skills: Performance management, Employee engagement, Talent development, Onboarding programs. Manage Performance Review Cycles for European bankers. Oversee performance management processes in Europe", "postedDate" : "2026-06-11T19:49:11.456", "createdAt" : "2026-06-11T19:49:11.456", "lastUpdated" : "2026-06-14T22:11:53.003", "ingestTimestamp" : "2026-06-11T19:49:11.456", "mongoId" : "6a2ab5c874d8ee00a06de405", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Reporting", "Process refinement", "Performance analysis", "Stakeholder engagement", "Change management", "Program execution", "Systems integration", "KPI definition", "Listening skills", "Problem solving", "Integrity", "Confidence", "People oriented style", "Ambition", "Performance management", "Employee engagement", "Talent development", "Onboarding programs", "Talent management", "Employee relations", "Organizational development", "Onboarding", "Alumni program development", "DEI programs", "Project management", "Organization", "Prioritization", "Rollout planning", "Professional services environment", "European HR practices", "IT systems", "AI", "LMS", "PowerPoint" ], "skillCount" : 35, "jobCategory" : "human-resources", "jobSubcategory" : "talent", "dataQualityScore" : 0.8888889, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Investment Banking" }, { "id" : "68c2e43bf8b1b0376634c92a", "title" : "Business Intelligence Engineer, P2 Science, Data, and Insights", "company" : "Amazon Development Centre Canada ULC", "industry" : "Business Intelligence, Business Intel Engineer, north america stores", "salary" : { "min" : 76400.0, "max" : 127600.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Vancouver, British Columbia, CAN", "locations" : [ "Vancouver, British Columbia, CAN" ], "timestamp" : "2026-06-15T01:05:27.815", "fingerprint" : "3a1dff98e3fb79510c323d58b42de9415775c735f6b151a142ee0971a1f86454", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3071381/apply", "externalId" : "67764e7e-19dd-455a-93dc-f5db067e6670", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Vancouver", "state" : "British Columbia", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "49.2608724,-123.1139520" } ], "locationText" : "Vancouver, British Columbia, Canada", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "Redshift, Oracle, NoSQL, Tableau, Quicksight, R, SAS, Matlab, Python, AWS, EC2, DynamoDB, S3", "professionalSkills" : [ "Business intelligence", "Pricing strategy", "Promotions strategy", "Data modeling", "ETL pipelines", "Anomaly detection", "Business strategy", "Data visualization", "Data infrastructure", "Data quality" ], "hardSkillsList" : [ "Data analysis", "Data visualization", "Data modeling", "ETL", "Statistical analysis", "SQL", "Python scripting" ], "softSkillsList" : [ "Curiosity", "Customer obsession", "Entrepreneurial spirit" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "ETL", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "SQL", "level" : "intermediate" }, { "name" : "Python scripting", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Curiosity" }, { "name" : "Customer obsession" }, { "name" : "Entrepreneurial spirit" } ], "majorSkills" : "Business intelligence, Data engineering, Analytics", "majorSkillsList" : [ "Business intelligence", "Data engineering", "Analytics" ], "coreResponsibilities" : "Spearhead business intelligence initiatives, Develop analytical metrics and models, Present insights and recommendations, Harness LLMs for insights, Lead data-driven discussions, Pioneer new methodologies, Design automated reporting systems, Create intuitive dashboards, Innovate and simplify tools, Enhance back-end data sources, Implement data quality practices, Architect scalable data solutions, Craft narratives from data, Develop effective metrics, Collaborate across teams, Champion innovation culture, Stay at forefront of BI trends, Mentor colleagues", "teamCollaboration" : "Product teams; Cross-functional teams", "domainKnowledge" : "Pricing; Promotions; Retail pricing; Customer behavior; Market dynamics", "domainList" : [ "pricing", "promotions", "retail-pricing", "customer-behavior", "market-dynamics" ], "domainSpecificKnowledge" : [ "Pricing", "Promotions", "Retail pricing", "Customer behavior", "Market dynamics" ], "toolProficiency" : [ "Tableau", "Quicksight", "R", "SAS", "Matlab", "Python" ], "communicationSkills" : "Presenting insights; Crafting narratives", "continuousLearning" : "Learning new technologies", "innovationCreativity" : "Innovate; Pioneer new methodologies; Simplify tools; Innovation culture", "problemSolvingSkills" : "Solving complex problems; Data-driven decision making", "outcomesObjectives" : "Drive pricing and promotions decisions; Shape business strategy; Enhance customer experience; Drive business growth; Improve accuracy; Streamline operations; Maximize impact", "qualificationsBasic" : "3+ years analyzing data, Experience as BIE, Data visualization experience, Data modeling experience, ETL pipeline experience, Statistical Analysis experience, Develop new metrics, SQL data pulling, Python scripting experience, Bachelors Degree", "qualificationsPreferred" : "AWS solutions experience, Data mining experience, Large-scale datasets experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Shape How Amazon Serves Millions Through Pricing and Promotions Ready to transform how customers experience Amazon? Join our Pricing & Promotions Science, Data, and Insights team, where your analytical expertise will directly influence pricing and promotions decisions that impact millions of customers globally. Your Impact As a Business Intelligence Engineer, you'll be at the heart of Amazon's data-driven culture, building automated analytics tools that power intelligent pricing and promotions decisions. Your insights will shape strategy, drive customer satisfaction, and influence business growth across one of Amazon's most critical functions. What Makes You a Great Fit - You're a hands-on engineer who thrives on solving complex problems - You have an insatiable curiosity and love learning new technologies - You see opportunities where others see challenges - You build trust through delivery and customer obsession - You bring an entrepreneurial spirit to everything you do What You'll Create - Automated analytics systems that drive pricing and promotions decisions - Sophisticated anomaly detection tools - Data-driven insights that shape business strategy - Solutions that simplify complex problems - Tools that enhance customer experience Why This Role - Direct impact on Amazon's core business decisions - Opportunity to innovate in a fast-paced environment - Work with advanced analytics technologies - Shape the future of retail pricing and promotions - Join a team that values curiosity and creativity Transform data into decisions that matter. Join us in making Amazon the most customer-centric company through intelligent pricing solutions. Key job responsibilities Drive Strategic Insights - Spearhead business intelligence initiatives that directly impact Amazon's pricing and promotions strategy - Develop advanced analytical metrics and models to uncover hidden business opportunities - Present compelling insights and recommendations to senior leadership, influencing key decisions Innovate with Advanced Analytics - Harness the power of Large Language Models (LLMs) to generate business impacting insights - Lead data-driven discussions with Product teams to accelerate growth - Pioneer new methodologies in pricing and promotions analytics, setting industry standards Build Scalable Solutions - Design and implement automated reporting systems that drive efficiency - Create intuitive dashboards that transform complex data into clear, actionable insights - Continuously innovate and simplify tools and processes, maximizing impact Optimize Data Infrastructure - Enhance back-end data sources to improve accuracy and streamline operations - Implement best practices in data quality and modeling - Architect scalable data solutions that grow with the business Influence Through Communication - Craft compelling narratives from data, influencing key stakeholders - Develop effective metrics that shape the future of Amazon's pricing and promotions - Collaborate across teams to drive adoption of data-driven strategies Lead Continuous Improvement - Champion a culture of innovation, constantly seeking ways to improve and automate - Stay at the forefront of BI trends, bringing developing technologies to the team - Mentor colleagues in advanced analytics techniques, elevating team capabilities In this role, you'll be at the forefront of shaping how Amazon prices and promotes products globally. Your analytical expertise will directly impact customer experience and business growth, making you a key player in Amazon's mission to be Earth's most customer-centric company. About the team The Pricing and Promotions (P2) Science, Data and Insights team is at the forefront of Amazon's data revolution, orchestrating a sophisticated ecosystem with hundreds of PBs of data and thousands of active datasets that empower business leaders to create exceptional customer experiences through data-driven pricing and promotional strategies. Our team combines deep engineering expertise with business acumen to manage mission-critical data and insights that influence billions in revenue decisions, while pioneering innovative approaches that transform how Amazon understands customer behavior and market dynamics. Our strength comes from the diverse perspectives and backgrounds of our team members, who bring unique problem-solving approaches to these complex challenges. We're currently implementing an ambitious three-year transformation strategy that will fundamentally reshape how Amazon makes pricing and promotional decisions, focusing on intelligent automation and proactive insights that drive business outcomes. Beyond managing science, data, and insights, we're true strategic partners who translate complex information into actionable intelligence that shapes Amazon's direction across global marketplaces. If you're passionate about solving complex business problems at massive scale while working in a collaborative culture that values both analytical rigor and business impact, you'll find compelling opportunities to grow and make a meaningful difference on our team. Basic Qualifications: - 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience working as a BIE in a technology company - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling - Bachelors Degree Preferred Qualifications: - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary for this position ranges from $76,400/year up to $127,600/year. Salary is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. Applicants should apply via our internal or external career site.", "summaryDescription" : "Business Intelligence Engineer, P2 Science, Data, and Insights at Amazon Development Centre Canada ULC. Skills: Business intelligence, Data engineering, Analytics. Spearhead business intelligence initiatives. Develop analytical metrics and models", "postedDate" : "2026-06-13T08:30:29.501", "createdAt" : "2026-06-13T08:30:29.501", "lastUpdated" : "2026-06-15T01:05:27.815", "ingestTimestamp" : "2026-06-13T08:30:29.501", "mongoId" : "68c2e43bf8b1b0376634c92a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3071381/apply", "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Data visualization", "Data modeling", "ETL", "Statistical analysis", "SQL", "Python scripting", "Curiosity", "Customer obsession", "Entrepreneurial spirit", "Business intelligence", "Data engineering", "Analytics", "Pricing strategy", "Promotions strategy", "ETL pipelines", "Anomaly detection", "Business strategy", "Data infrastructure", "Data quality", "Pricing", "Promotions", "Retail pricing", "Customer behavior", "Market dynamics", "Tableau", "Quicksight", "R", "SAS", "Matlab", "Python" ], "skillCount" : 31, "jobCategory" : "other", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2c7b6c74d8ee00a094976b", "title" : "Performance Marketer", "company" : "Betty", "salary" : { "min" : 52000.0, "max" : 78000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Performance Marketer in Sofia, Bulgaria, with adjustments for the gaming industry and full-time employment." }, "location" : "Sofia, Bulgaria", "locations" : [ "Sofia", "Bulgaria" ], "timestamp" : "2026-06-15T07:09:30.217", "fingerprint" : "2bc51bef96b0465bbc600c6f57b38150229389d69c7b3e8fe657ad08efc5a667", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/bettyjobboard/jobs/5163302007", "externalId" : "5163302007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sofia", "country" : "Bulgaria", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "42.6977028,23.3217359" } ], "locationText" : "Sofia, Bulgaria", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "rawDescription" : "About Us: Betty is an innovative entertainment company pioneering at the intersection of real-money online casinos and casual mobile gaming. Betty Canada is a scale up company accredited by the Alcohol and Gaming Commission of Ontario (AGCO) as a B2C operator in February 2023, we've set a new standard in the industry. Our mission is to redefine the online casino experience by offering a uniquely transparent environment where players can relax, unwind, and enjoy themselves safely. We are committed to accessibility, fairness, and inclusivity, fostering a community of like-minded individuals who value ethical gaming practices and prioritize our players' safety and enjoyment above everything else. Our Values: We are honest - we value honesty in all aspects. Bring the Olives - we offer premium customer experience. Think Big - we believe in always striving for more. About the role We are looking for a strong performance marketing professional to support and execute user acquisition strategies across web, mobile app, or both, depending on experience. This role is ideal for someone with a solid background in paid acquisition, campaign optimization, and performance analysis. Experience in mobile app acquisition is highly valued, but we are also open to candidates with strong web acquisition experience who are comfortable working with funnels, tracking, and conversion performance. Key Responsibilities Support the User Acquisition Lead in planning and implementing user acquisition strategies across web, app, or both. Execute, optimize, analyze, and report on campaign performance across digital advertising platforms. Collaborate with internal and external design teams to produce engaging and high-performing advertising content. Bring forward innovative campaign ideas and coordinate with stakeholders to execute them effectively. Monitor performance across the full acquisition funnel, including traffic quality, conversion, registration, and deposit performance. Work with tracking and analytics tools to ensure campaigns are measured accurately across web and/or app journeys. Develop expertise in the North American gambling market while collaborating with a diverse team of experts. We are looking for 3+ years of hands-on experience in user acquisition, performance marketing, or paid media, ideally across web, app, or both. Experience managing and optimizing campaigns across digital ad platforms such as Meta, Google, TikTok, programmatic, affiliate, or other paid channels. Strong understanding of performance marketing metrics, funnel optimization, campaign testing, and revenue growth. Experience with mobile app acquisition is a strong advantage, including working with AppsFlyer or another MMP. For app-focused candidates: good understanding of iOS tracking, SKAN reporting, and non-consented user measurement. For web-focused candidates: experience with GA4, event setup, custom reports, tracking troubleshooting, and web conversion analysis. Strong analytical mindset with the ability to turn campaign data into clear insights and actions. Excellent communication skills and the ability to work cross-functionally with marketing, product, analytics, design, and external partners. A proven track record of executing performance marketing strategies that contribute to revenue growth. Fluency in written and spoken English. Ability to adapt quickly and perform well in a fast-paced environment. Bonus points Experience in iGaming, gaming, fintech, or another highly regulated digital industry. Familiarity with data visualization tools such as Tableau or Power BI. Experience with AppsFlyer, Adjust, Branch, Firebase, GA4, GTM, or similar tracking and analytics tools. Understanding of North American markets, especially Canada or the US. What we offer: Competitive salary Premium Health insurance Career and skills development opportunities Fun and collaborative team environment New modern office space", "summaryDescription" : "Performance Marketer at Betty", "postedDate" : "2026-06-14T05:37:55.793", "createdAt" : "2026-06-14T05:37:55.793", "lastUpdated" : "2026-06-15T07:09:30.217", "ingestTimestamp" : "2026-06-14T05:37:55.793", "mongoId" : "6a2c7b6c74d8ee00a094976b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Gaming", "llmIndustryConfidence" : 0.97 }, { "id" : "693072a070f0b99d58ffb4fb", "title" : "Software Development Engineer, System Frameworks and Performance", "company" : "ADCI", "industry" : "Software Development, alexa and amazon devices", "salary" : { "min" : 2200000.0, "max" : 3500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Software Development Engineer in Bengaluru, India, adjusted for the Technology industry and company size." }, "location" : "Bengaluru, Karnataka, IND", "locations" : [ "Bengaluru, Karnataka, IND" ], "timestamp" : "2026-06-15T01:32:45.905", "fingerprint" : "cfba4bbf5ab448cff702010c72e11c3cc3f9d91b5771f8fb5d4c1f6d82fd7816", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3136593/apply", "externalId" : "671bd445-017a-4470-9784-c49c417f55d4", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, Karnataka, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Android internals", "professionalSkills" : [ "System requirements", "Architecture decisions" ], "hardSkillsList" : [ "Debugging", "Performance tuning" ], "softSkillsList" : [ "Problem-solving skills", "Organizational skills", "Communication skills" ], "hardSkills" : [ { "name" : "Debugging", "level" : "intermediate" }, { "name" : "Performance tuning", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Problem-solving skills" }, { "name" : "Organizational skills" }, { "name" : "Communication skills" } ], "majorSkills" : "System architecture, Performance optimization, Android internals", "majorSkillsList" : [ "System architecture", "Performance optimization", "Android internals" ], "coreResponsibilities" : "Review software architecture for future products, Debug system stability issues, Debug performance issues, Instrument Fire OS, Monitor Fire OS, Enhance Fire OS, Implement optimizations to Fire OS, Influence architecture decisions, Specify system requirements, Collaborate with teams incorporating features", "teamCollaboration" : "Cross-functional teams", "domainKnowledge" : "Android internals", "domainList" : [ "android-internals" ], "domainSpecificKnowledge" : [ "Android internals" ], "communicationSkills" : "Communication skills", "problemSolvingSkills" : "Debugging; Root-cause analysis; Problem-solving skills", "outcomesObjectives" : "Drive optimizations to user experience", "qualificationsBasic" : "3+ years software development experience, 2+ years design or architecture experience, Experience programming at least one language", "qualificationsPreferred" : "3+ years full SDLC experience, Bachelor's degree in computer science", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Job summary Fire TV is the #1 best-selling streaming media player in the U.S. We are looking for a strong software development engineer to contribute to the architecture and operating system level performance. In this role you will have the opportunity to drive optimizations to the user experience of all Fire TV devices. The ideal candidate has great debugging and problem-solving skills and deep knowledge of Android internals. You will also have an interest in developing automated solutions for consumer-facing products, strong technical ability, excellent organizational skills, great communication skills, a motivation to achieve results in a fast-paced environment. Key job responsibilities Key responsibilities: S/W architecture Review for future products. Debug and Root-Cause System Stability & Performance issues on FTV devices. Instrument, monitor and enhance Fire OS for every Fire TV device Suggest and implement optimizations to Fire OS Influence architecture decisions for best performance Specify system requirements for upcoming Fire TV devices Collaborate with teams incorporating features into Fire TV for optimal experience Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Software Development Engineer, System Frameworks and Performance at ADCI. Skills: System architecture, Performance optimization, Android internals. Review software architecture for future products. Debug system stability issues", "postedDate" : "2026-06-13T00:44:04.459", "createdAt" : "2026-06-13T00:44:04.459", "lastUpdated" : "2026-06-15T01:32:45.905", "ingestTimestamp" : "2026-06-13T00:44:04.459", "mongoId" : "693072a070f0b99d58ffb4fb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3136593/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Debugging", "Performance tuning", "Problem-solving skills", "Organizational skills", "Communication skills", "System architecture", "Performance optimization", "Android internals", "System requirements", "Architecture decisions" ], "skillCount" : 10, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true } ], "status" : 200, "message" : "contributing product insights and performance recommendations jobs", "metadata" : { "title" : "contributing product insights and performance recommendations" }, "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 36863, "totalPages" : 738, "hasNext" : true, "hasPrevious" : false } }

Remote Contributing Product Insights And Performance Recommendations Jobs

Top Skills

Sr. Manager, Customer Performance & Insights

Performance Insights & Automation Analyst

Quality and Insights Manager

Insights and Measurement Lead

Product Manager, Reputation Marketing & Insights

Financial Performance and Analysis

Vice President, Research and Insights

Senior Director, Performance Analytics and Insights Specialty Care

Director, Product Marketing - Customer & Market Insights

Sr. Product Manager - Tech, Sharing & Insights

Senior Product Manager - Shop Insights Platform

SVP Practice and Performance Delivery

Senior Product Manager - Shop Insights Platform

Power Markets Modelling and Insights Lead

Applied Scientist, Financial Insights and Actions

Specialist, Training and Performance

Product Builder, Performance Marketing Agents

Performance Measurement and Evaluation Intern

Insights Manager

Senior Machine Learning Engineer, Search & Recommendations

Manager, Shopper and Category Insights

Manager, Shopper and Category Insights

Energy and Portfolio Performance Manager

Staff -Power and Performance Validation Engineer

Data Engineering Manager, Planning and Audience Insights

Data Engineer, WW Promotions Data and Insights

Sr. Applied Scientist, Financial Insights and Actions

Program Manager, Customer Experience and Insights Team

Senior Analyst, Analytics and Insights (Programmatic)

Head of Product Development & Business Performance

Software Development Engineer, AWS Insights and Optimizations

Learning & Development and Performance Management Officer

Marketing Executive (Ecommerce & Product Insights)

Senior Product Manager, Platform Performance & Infrastructure

Product Manager, Monitoring and Reliability Product

Performance Engineer

AIT Audit Manager III, Audits and Insights Team

Oil and Gas Operations Performance Engineer

Building Performance and Energy Consultant

Regulatory and Product Counsel

Senior Quality Engineer, Performance and Analytics

Business Intelligence Engineer, P2 Science, Data, and Insights

AIT Audit Manager III, Audits and Insights Team

Consultant, Analytics & Insights

Insights and Strategic Research Associate Managing Consultant

Software Development Engineer, FTV Frameworks and Performance

Senior Coordinator, Performance and Engagement Programmes

Business Intelligence Engineer, P2 Science, Data, and Insights

Performance Marketer

Software Development Engineer, System Frameworks and Performance

Related Searches

All Contributing Product Insights And Performance Recommendations Jobs by City

More Remote Jobs

Common Questions