{ "count" : 40933, "data" : [ { "id" : "6a2ca3ba74d8ee00a09ad6ef", "title" : "Sr. Program Manager, DTC Platform Performance", "company" : "Hasbro", "industry" : "E-Commerce", "salary" : { "min" : 126600.0, "max" : 230500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-15T22:53:26.889", "fingerprint" : "b71a0f529c61abec35f9c0a7664f12512f6da3b280a455e5a3dd9eadec37578c", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/hasbro/jobs/4250536009", "externalId" : "4250536009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Renton", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "47.4799078,-122.2034496" } ], "locationText" : "Renton, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, BI tools", "professionalSkills" : [ "Program management", "Business operations", "Analytics", "Business judgment", "Data analysis", "Data-driven decision making", "Structured analysis" ], "hardSkillsList" : [ "Performance measurement", "Customer segmentation", "Lifecycle analysis", "Experimentation frameworks" ], "hardSkills" : [ { "name" : "Performance measurement", "level" : "intermediate" }, { "name" : "Customer segmentation", "level" : "intermediate" }, { "name" : "Lifecycle analysis", "level" : "intermediate" }, { "name" : "Experimentation frameworks", "level" : "intermediate" } ], "majorSkills" : "Platform performance, Operating rhythm, Customer insights, Data-driven recommendations", "majorSkillsList" : [ "Platform performance", "Operating rhythm", "Customer insights", "Data-driven recommendations" ], "coreResponsibilities" : "Define platform metrics, Maintain platform metrics, Measure DTC platform health, Measure conversion, Measure engagement, Measure retention, Measure order quality, Measure customer satisfaction, Align metric definitions, Align data sources, Align reporting, Analyze performance trends, Identify performance drivers, Communicate risks, Communicate opportunities, Evaluate customer journey performance, Identify platform improvements, Identify experience improvements, Own Weekly Business Review, Lead WBR forums, Structure WBR discussions, Provide performance visibility, Provide priority visibility, Provide tradeoff visibility, Track actions, Ensure follow-through, Define customer segmentation, Evolve customer segmentation, Identify key cohorts, Identify key behaviors, Identify key value drivers, Synthesize behavioral data, Synthesize customer feedback, Synthesize support signals, Identify customer friction points, Prioritize friction points, Prioritize opportunities, Turn insights into recommendations, Inform product roadmap, Inform customer experience, Inform operational focus, Partner with Product teams, Partner with Engineering teams, Partner with Analytics teams, Partner with Operations teams, Ensure initiatives have outcomes, Support planning, Support prioritization, Align teams on success, Align teams on priorities, Align teams on outcomes, Create performance transparency, Create dependency transparency, Create tradeoff transparency, Support accountability", "teamCollaboration" : "Cross-functional teams; Product teams; Engineering teams; Analytics teams; Operations teams; Senior stakeholders", "projectManagementSkills" : [ "Program management", "Roadmap planning", "Prioritization" ], "domainKnowledge" : "Direct-to-Consumer; Digital commerce; Customer journey", "domainList" : [ "direct-to-consumer", "digital-commerce", "customer-journey" ], "domainSpecificKnowledge" : [ "Direct-to-Consumer", "Digital commerce", "Customer journey" ], "toolProficiency" : [ "SQL", "BI tools" ], "communicationSkills" : "Data-driven narratives", "problemSolvingSkills" : "Data-driven approaches", "qualificationsBasic" : "6+ years program management, 6+ years business operations, 6+ years analytics-driven roles, Experience owning business metrics, Experience owning performance metrics, Experience owning operating cadences, Experience with WBRs, Experience with MBRs, Business judgment, Ability to connect data to decisions, Ability to connect data to tradeoffs, Experience communicating insights, Experience communicating recommendations, Experience structuring data-driven narratives, Analytical skills, Experience working with large datasets, Experience using SQL, Experience using BI tools, Experience working cross-functionally, Ability to operate in ambiguous environments, Ability to define problems clearly, Ability to structure data-driven approaches", "qualificationsPreferred" : "Experience in Direct-to-Consumer, Experience in digital commerce, Experience with customer segmentation, Experience with lifecycle analysis, Familiarity with experimentation frameworks, Familiarity with performance measurement frameworks, Experience building business mechanisms, Experience scaling business mechanisms, Experience influencing product decisions, Experience influencing business decisions", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. Hasbro’s Direct-to-Consumer (DTC) platform connects fans to our brands through Hasbro Pulse, Dungeons & Dragons Beyond, and future storefronts. We are hiring a Sr. Program Manager, DTC Platform Performance to own how DTC platform performance is measured, understood, and reviewed across storefronts and customer experiences. This role operates at the platform level and serves as the central point of accountability for platform performance insights and operating rhythm. It enables decision making across Product, Engineering, Analytics, and business teams by providing a consistent, data-driven view of platform and customer performance. You will define a clear view of platform health, lead the operating cadence (including Weekly Business Reviews), and translate performance and customer insights into actionable recommendations for product, experience, and operational improvements. This role ensures teams are aligned on what matters most, how performance is trending, and where to focus. This role is not aligned to any single brand or business unit and operates across the DTC ecosystem. This is a hybrid role requiring three days a week in our Renton, WA office. What You’ll Do 1. Own Platform Performance Define and maintain the core metrics that reflect the health of the DTC platform, including conversion, engagement, retention, order quality, and customer satisfaction. Ensure consistency in how performance is measured by aligning metric definitions, data sources, and reporting across teams. Analyze performance trends, identify key drivers, and communicate risks and opportunities with clear business impact. Evaluate performance across the end-to-end customer journey, identifying where platform or experience improvements can drive better outcomes. 2. Lead the Operating Rhythm Own the Weekly Business Review (WBR) and related forums as the primary mechanism for reviewing DTC performance. Structure discussions around insights, decisions, and actions to ensure meetings drive outcomes. Provide clear visibility into performance trends, priorities, and tradeoffs for cross-functional teams and leadership. Track actions and ensure follow-through to measurable results. 3. Lead Customer Insights Define and evolve customer segmentation, identifying key cohorts, behaviors, and value drivers. Synthesize behavioral data, customer feedback, and support signals into a clear view of the customer experience. Identify and prioritize customer friction points and opportunities based on impact to performance. 4. Translate Insights into Direction Turn performance and customer insights into clear, data-driven recommendations that inform product roadmap priorities, customer experience improvements, and operational focus areas. Partner with Product, Engineering, Analytics, and Operations teams to ensure initiatives are tied to measurable outcomes. Support planning and prioritization with structured analysis. 5. Drive Alignment Align teams on shared definitions of success, priorities, and expected outcomes. Create transparency into performance, dependencies, and tradeoffs across initiatives. Support accountability through clear communication and consistent follow-up. Minimum Qualifications 6+ years of experience in program management, business operations, or analytics-driven roles, with increasing scope and ownership Demonstrated experience owning business or performance metrics and operating cadences (e.g., WBRs, MBRs) Strong business judgment, with the ability to connect data to decisions and tradeoffs Experience communicating insights and recommendations to senior stakeholders, including structuring clear, data-driven narratives Strong analytical skills, including experience working with large datasets and using SQL and BI tools to explore and validate insights Experience working cross-functionally with Product, Engineering, Analytics, and Operations teams Ability to operate in ambiguous environments, define problems clearly, and structure data-driven approaches to solving them Preferred Qualifications Experience in Direct-to-Consumer or digital commerce environments Experience with customer segmentation or lifecycle analysis Familiarity with experimentation and performance measurement frameworks Experience building or scaling business mechanisms such as performance reviews or reporting frameworks Experience influencing product or business decisions through data and structured analysis The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package. Pay Range $126,600—$230,500 USD Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.", "summaryDescription" : "Sr. Program Manager, DTC Platform Performance at Hasbro. Skills: Platform performance, Operating rhythm, Customer insights, Data-driven recommendations. Define platform metrics. Maintain platform metrics", "postedDate" : "2026-06-14T18:39:57.749", "createdAt" : "2026-06-14T18:39:57.749", "lastUpdated" : "2026-06-15T22:53:26.889", "ingestTimestamp" : "2026-06-14T18:39:57.749", "mongoId" : "6a2ca3ba74d8ee00a09ad6ef", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 126600, "salaryAnnualMax" : 230500, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Performance measurement", "Customer segmentation", "Lifecycle analysis", "Experimentation frameworks", "Platform performance", "Operating rhythm", "Customer insights", "Data-driven recommendations", "Program management", "Business operations", "Analytics", "Business judgment", "Data analysis", "Data-driven decision making", "Structured analysis", "Roadmap planning", "Prioritization", "Direct-to-Consumer", "Digital commerce", "Customer journey", "SQL", "BI tools" ], "skillCount" : 22, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 923.8599, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "6a24e6d274d8ee00a0021b17", "title" : "Senior Product Analyst (Search & Recommendations)", "company" : "Joom", "industry" : "E-Commerce", "salary" : { "min" : 55000.0, "max" : 85000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior Product Analyst in E-commerce in Lisbon, Portugal, adjusted for seniority and company size." }, "location" : "Lisbon, PT", "locations" : [ "Lisbon", "PT" ], "timestamp" : "2026-06-16T05:02:06.886", "fingerprint" : "3fa8a92e2020c90c17fb404502d912b13f3ae3cb029933da1d9b2cee78ea4749", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://joom-group.breezy.hr/p/9e3239a48b3e-senior-product-analyst-search-recommendations", "externalId" : "9e3239a48b3e", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Lisbon", "country" : "Portugal", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "38.7077507,-9.1365919" } ], "locationText" : "Lisbon, Portugal", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : false, "rawDescription" : "Joom is a global cross-border marketplace where millions can find anything they want at fair prices. Joom helps consumers to make shopping easy and entertaining and provides access to interesting and unique goods from around the world.Joom is one of the key businesses of Joom Group, an internationa", "summaryDescription" : "Senior Product Analyst (Search & Recommendations) at Joom", "createdAt" : "2026-06-14T18:54:50.851", "lastUpdated" : "2026-06-16T05:02:06.886", "ingestTimestamp" : "2026-06-14T18:54:50.851", "mongoId" : "6a24e6d274d8ee00a0021b17", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "_score" : 918.93335, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "6a308827f292fd229c08fd4d", "title" : "Product & Strategic Insights Lead", "company" : "The Nielsen Company", "industry" : "Broadcast Media", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Product & Strategic Insights position in Bulgaria, adjusted for the media industry and full-time employment." }, "location" : "Remote, Remote, United States", "locations" : [ "Remote", "Remote", "United States" ], "timestamp" : "2026-06-16T10:12:06.767", "fingerprint" : "7ca436afdbe5706b1ec2c6e5366f205f46f8d2c815eca29514db974070f13ae9", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/TheNielsenCompany/3743990013631657-product-strategic-insights-lead", "externalId" : "3743990013631657", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceLevel" : "not-applicable", "coreResponsibilities" : "Develop product strategy, Define product roadmap, Create user stories, Collaborate with cross-functional teams", "teamCollaboration" : "Cross-functional teams", "projectManagementSkills" : [ "Roadmap planning" ], "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content - wherever and whenever it's consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future. The Nielsen Content & Strategic Insights team is seeking a Product & Strategic Insights lead. This role will be the primary subject matter expert on advertising metrics within the team, tasked with translating complex product data—specifically Nielsen One (N1) Ads & Outcomes and Ad Intel —into actionable narratives that empower our sales teams, marketing goals and client needs. This role also serves as the central insights hub for Nielsen’s top-tier strategic accounts. You will act as the bridge between our complex product capabilities and our clients' specific business objectives, providing dedicated, high-touch support that drives product adoption and incremental revenue. Key Responsibilities * Product Expertise: Serve as the team’s go-to expert on advertising metrics and effectiveness. You will leverage deep knowledge of Nielsen One (N1) Ads & Outcomes and Ad Intel to provide customized product expertise, proof-points and case studies. * Custom Content Creation : Develop high-impact, personalized materials for growth target account meetings, including bespoke pitch decks, quick-hit insights, and deep-dive analyses tailored to unique client business objectives. * Intake & Prioritization Management: Oversee the request intake process for strategic accounts. You will prioritize incoming projects based on revenue impact and capacity, ensuring the Insights Lab remains agile and effective. * Outcome-Led Storytelling: Partner with Product Marketing and sales teams to translate complex data into simple, differentiated narratives. Your goal is to move beyond feature-led storytelling to clearly articulate the business impact of Nielsen solutions. ## Qualifications * Subject Matter Expertise: Proven expertise in advertising metrics and measurement, with fluency in Nielsen One (N1) Ads & Outcomes and Ad Intel, as well as NPower. * Strategic Client Support: Experience in a client-facing or sales-support role. You understand the nuances of high-touch service and how to support strategic accounts effectively. * Analytical Rigor: Ability to synthesize complex quantitative data into clear, compelling stories. You are comfortable producing both quick-turnaround data points and comprehensive deep-dive analyses. * Operational Excellence: Strong organizational skills with the ability to manage competing priorities. You are comfortable with an intake-heavy, fast-paced environment and can build systems to manage capacity. * Collaboration: A natural relationship builder who can work seamlessly across cross-functional teams (Sales, Product, Marketing) to ensure alignment and consistent, high-quality output. #LI-AW1 ## Additional Information Enabling your best to power a better media future. Holistic Rewards: We are committed to an inclusive benefits package that supports our employees and their families. This includes comprehensive health and wellness plans, a 401(k) with a Nielsen company match, and a generous paid time off policy. Depending on the role, additional benefits may include a company-provided vehicle and/or discretionary incentive/bonus eligibility. Compensation Transparency: The posted base salary range is a reasonable estimate that may be adjusted based on the final work location of the selected employee. Individual pay within the range is determined by factors such as experience, training, geography, certifications, and business needs. Beyond base salary, this role may be eligible for bonuses, equity, or other incentives. Nielsen makes hiring decisions without regard to disability status, protected veteran status, or membership in any other protected class. Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a [nielsen.com](http://nielsen.com/) domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @[nielsen.com](http://nielsen.com/) address. If you're unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.", "summaryDescription" : "Product & Strategic Insights Lead at The Nielsen Company. Develop product strategy. Define product roadmap", "postedDate" : "2026-06-15T21:36:26.000", "createdAt" : "2026-06-16T01:44:28.356", "lastUpdated" : "2026-06-16T10:12:06.767", "ingestTimestamp" : "2026-06-16T01:44:28.356", "mongoId" : "6a308827f292fd229c08fd4d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Roadmap planning" ], "skillCount" : 1, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "_score" : 889.0301, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305117f292fd229cef9627", "title" : "Associate Director, US Commercial Insights", "industry" : "Analyst", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on the US market baseline for a Director-level position in the Pharma industry, adjusted for a remote work mode and the specified seniority and experience level." }, "location" : "US", "locations" : [ "US" ], "timestamp" : "2026-06-16T12:36:38.199", "fingerprint" : "e39a0d3b87e448b99ea46092bacd7366059cde0971be41107267d1cc0cbce7ad", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/230ccb81-fbca-4424-8e8b-f70b2c4d36f9/apply", "externalId" : "230ccb81-fbca-4424-8e8b-f70b2c4d36f9", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 7, "experienceMaxYears" : 10, "experienceLevel" : "Director", "professionalSkills" : [ "Commercial strategy", "Market development", "Go-to-market strategies", "Competitive intelligence", "Commercial execution" ], "hardSkillsList" : [ "Qualitative research", "Quantitative research", "Data synthesis" ], "softSkillsList" : [ "Critical thinking" ], "hardSkills" : [ { "name" : "Qualitative research", "level" : "intermediate" }, { "name" : "Quantitative research", "level" : "intermediate" }, { "name" : "Data synthesis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Critical thinking" } ], "majorSkills" : "Commercial insights strategy, Market research, Actionable recommendations", "majorSkillsList" : [ "Commercial insights strategy", "Market research", "Actionable recommendations" ], "coreResponsibilities" : "Lead development of US commercial insights strategy, Lead execution of US commercial insights strategy, Identify key business questions, Translate questions into research plans, Partner with cross-functional teams, Deliver actionable insights, Shape market development strategies, Shape go-to-market strategies, Design primary market research, Oversee primary market research, Design secondary market research, Oversee secondary market research, Ensure methodological rigor, Ensure alignment with business objectives, Synthesize data from multiple sources, Build unified view of market, Build unified view of customer, Act as strategic advisor, Influence key decisions, Ensure insights are clearly communicated, Translate insights into recommendations, Drive measurable business impact, Manage vendor relationships, Contribute to oversight of budgets, Contribute to oversight of contracts, Contribute to oversight of external partnerships, Foster innovation in insights generation, Explore new methodologies, Explore new tools, Explore new data sources", "teamCollaboration" : "Cross-functional teams; Global and US teams", "domainKnowledge" : "Rare disease; Rheumatology; Pharmaceutical data; Commercial research", "domainList" : [ "rare-disease", "rheumatology", "pharmaceutical-data", "commercial-research" ], "domainSpecificKnowledge" : [ "Rare disease", "Rheumatology", "Pharmaceutical data", "Commercial research" ], "communicationSkills" : "Executive presentations", "continuousLearning" : "Professional development; Learning opportunities; Career growth", "innovationCreativity" : "Innovation in insights generation", "problemSolvingSkills" : "Problem-solving skills", "specialRequirements" : "Ability to travel up to 20%", "outcomesObjectives" : "Drive measurable business impact", "qualificationsBasic" : "Bachelor's degree, 7–10 years of experience, Expertise in primary market research, Deep understanding of research methodologies, Proven ability to integrate data, Demonstrated experience influencing senior stakeholders, Analytical, critical thinking, and problem-solving skills, Excellent communication skills", "qualificationsPreferred" : "Advanced degree preferred, Experience within rare disease and/or rheumatology, Experience with product launches, Familiarity with pharmaceutical data sources, Familiarity with vendors, Familiarity with commercial research tools", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "## Accountabilities Lead the development and execution of the US commercial insights strategy and learning agenda, identifying key business questions and translating them into structured research plans. Partner with cross-functional teams (commercial, medical, analytics, and market access) to deliver actionable insights that shape market development and go-to-market strategies. Design and oversee primary and secondary market research initiatives, ensuring methodological rigor and alignment with business objectives. Synthesize data from multiple sources, including market research, competitive intelligence, analytics, and field insights, to build a unified view of the market and customer landscape. Act as a strategic advisor to senior leadership, influencing key decisions on positioning, strategy, and commercial execution. Ensure insights are clearly communicated and translated into actionable recommendations that drive measurable business impact. Manage vendor relationships and contribute to oversight of budgets, contracts, and external partnerships in collaboration with internal stakeholders. Foster innovation in insights generation by exploring new methodologies, tools, and data sources to enhance decision-making capabilities. Requirements: Bachelor’s degree required; advanced degree preferred. 7–10 years of experience in pharmaceutical, biotechnology, healthcare insights, or related commercial functions. Strong expertise in primary market research, ideally within rare disease and/or rheumatology. Deep understanding of both qualitative and quantitative research methodologies and their application in commercial strategy. Proven ability to integrate complex, disparate data sets into clear strategic narratives and actionable recommendations. Demonstrated experience influencing senior stakeholders in a matrixed, cross-functional environment. Strong analytical, critical thinking, and problem-solving skills with a business-oriented mindset. Excellent communication skills, with the ability to translate insights into compelling recommendations for executive audiences. Experience with product launches in rare disease or specialty care is a plus. Familiarity with pharmaceutical data sources, vendors, and commercial research tools. Ability to travel up to 20%. Strong collaboration skills, with the ability to operate effectively across global and US teams. Benefits: Competitive salary aligned with experience and market benchmarks. Eligibility for short-term and long-term incentive programs. Comprehensive health, dental, and vision insurance coverage. Retirement savings plan and financial wellbeing support. Flexible working arrangements with hybrid/remote options depending on role needs. Opportunities to work in a high-growth, science-driven organization focused on rare diseases. Strong emphasis on professional development, learning, and career growth. Inclusive and collaborative culture with global cross-functional exposure. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Associate Director, US Commercial Insights. Skills: Commercial insights strategy, Market research, Actionable recommendations. Lead development of US commercial insights strategy. 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Headquarters 1 (HCA_HQ1)
3161 Michelson Dr. Ste 1900
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" ], "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, "_score" : 842.346, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30511af292fd229cefa48d", "title" : "Senior Product Manager, Customer Insights", "industry" : "Product", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Product Manager in the Technology industry in Bulgaria, adjusted for seniority and remote work." }, "location" : "US", "locations" : [ "US" ], "timestamp" : "2026-06-16T14:16:35.966", "fingerprint" : "56e8fa47f44e1c7b8c9c002705dc5ea8b623e0e0632b525829b26b2b7fa2b4b0", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/9d2c7764-9446-41ad-b871-65cc97ea5795/apply", "externalId" : "9d2c7764-9446-41ad-b871-65cc97ea5795", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 4, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI, Natural language processing", "professionalSkills" : [ "Roadmap development", "Prioritization", "Data architecture", "Metrics design", "Analytical frameworks", "Stakeholder management", "Cross-functional collaboration", "Product strategy" ], "hardSkillsList" : [ "Data modeling", "Instrumentation strategies", "Metrics design", "Data pipelines", "Analytical frameworks", "API design" ], "hardSkills" : [ { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Instrumentation strategies", "level" : "intermediate" }, { "name" : "Metrics design", "level" : "intermediate" }, { "name" : "Data pipelines", "level" : "intermediate" }, { "name" : "Analytical frameworks", "level" : "intermediate" }, { "name" : "API design", "level" : "intermediate" } ], "majorSkills" : "Customer Insights, Data Products, AI-powered insights", "majorSkillsList" : [ "Customer Insights", "Data Products", "AI-powered insights" ], "coreResponsibilities" : "Own Customer Insights product area, Define usage data architecture, Ensure data quality, Ensure data scalability, Align business metrics, Design reporting experiences, Enhance analytics experiences, Design dashboard experiences, Enhance audit logs experiences, Design API experiences, Drive AI-powered insights vision, Implement AI-powered insights, Collaborate with Sales teams, Collaborate with Customer Success teams, Translate insights into narratives, Engage with enterprise stakeholders, Understand stakeholder needs, Validate stakeholder priorities, Ensure solutions meet requirements, Partner with adjacent product teams, Create seamless experiences, Transform business questions, Develop user-centric solutions", "teamCollaboration" : "Cross-functional collaboration; Work with engineering teams; Work with data teams; Partner with adjacent product teams; Collaborate with Sales teams; Collaborate with Customer Success teams", "projectManagementSkills" : [ "Roadmap development", "Prioritization" ], "domainKnowledge" : "Customer retention; Customer growth; Value measurement; Enterprise administrators; AI-native user experiences; Intelligent analytics; Governance requirements; Compliance requirements; Operational requirements; Identity management; Security domains; Compliance domains; Enterprise analytics", "domainList" : [ "customer-retention", "customer-growth", "value-measurement", "enterprise-administrators", "ai-native-user-experiences", "intelligent-analytics", "governance-requirements", "compliance-requirements", "operational-requirements", "identity-management", "security-domains", "compliance-domains", "enterprise-analytics" ], "domainSpecificKnowledge" : [ "Customer retention", "Customer growth", "Value measurement", "Enterprise administrators", "AI-native user experiences", "Intelligent analytics", "Governance requirements", "Compliance requirements", "Operational requirements", "Identity management", "Security domains", "Compliance domains", "Enterprise analytics" ], "communicationSkills" : "Stakeholder management; Customer narratives", "innovationCreativity" : "AI-powered insights capabilities", "problemSolvingSkills" : "Transform complex business questions", "outcomesObjectives" : "Support customer renewals; Support expansion opportunities; Meet governance requirements; Meet compliance requirements; Meet operational requirements", "qualificationsBasic" : "4+ years product management experience, 2+ years building analytics/reporting/BI/data products, Expertise in data products, Experience with data modeling, Experience with instrumentation strategies, Experience with metrics design, Experience with data pipelines, Experience with analytical frameworks, Ability to work with engineering teams, Ability to work with data teams, Experience developing AI-enabled products, Proven success translating business needs, Experience partnering with customer-facing teams", "qualificationsPreferred" : "Experience building enterprise administration products, Experience building governance products, Experience building identity management products, Experience building security products, Experience building compliance products, Experience building audit-related products, Background in business intelligence platforms, Background in analytics solutions, Background in data-focused products, Experience designing customer-facing APIs", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Own the Customer Insights product area end-to-end, including strategy, roadmap development, prioritization, and execution across data foundations and customer-facing experiences. Define and evolve the underlying usage data architecture, ensuring data quality, scalability, and alignment with business metrics that support customer retention, growth, and value measurement. Design and enhance reporting, analytics, dashboards, audit logs, and API experiences that deliver actionable insights to enterprise administrators, executives, and internal teams. Drive the vision and implementation of AI-powered insights capabilities, including natural language interactions, proactive analytics, and intelligent workflows. Collaborate closely with Sales and Customer Success teams to translate product insights into compelling customer narratives that support renewals and expansion opportunities. Engage directly with enterprise stakeholders to understand needs, validate priorities, and ensure solutions meet governance, compliance, and operational requirements. Partner with adjacent product teams to create seamless experiences across administration, identity management, security, and compliance domains. Transform complex and ambiguous business questions into scalable, user-centric product solutions. Requirements 4+ years of product management experience, including at least 2 years building analytics, reporting, business intelligence, or data-driven products for administrative or business users. Strong expertise in data products, including experience with data modeling, instrumentation strategies, metrics design, data pipelines, and analytical frameworks. Demonstrated ability to work effectively with engineering and data teams while balancing technical considerations such as aggregation, data freshness, granularity, and scalability. Experience developing or contributing to AI-enabled products, with a strong understanding of emerging trends in AI-native user experiences and intelligent analytics. Proven success translating complex business needs into intuitive and impactful product experiences. Experience partnering with customer-facing teams to support customer engagement, retention, and growth initiatives. Exceptional communication, stakeholder management, and cross-functional collaboration skills. Ability to thrive in fast-paced environments and navigate ambiguity with confidence. Preferred Qualifications Experience building enterprise administration, governance, identity management, security, compliance, or audit-related products. Background in business intelligence platforms, analytics solutions, or data-focused products. Experience designing customer-facing APIs for analytics, reporting, or data access use cases. Benefits Competitive base salary ranging from $160,000 to $215,000, depending on location, experience, and qualifications. Performance-based bonus opportunities. Comprehensive benefits package. Opportunity to shape the future of enterprise analytics and AI-driven insights. High-impact role with significant ownership and visibility across the organization. Collaborative and cross-functional work environment. Exposure to enterprise-scale products, customers, and strategic initiatives. Inclusive workplace committed to equal opportunity and reasonable accommodations for individuals with disabilities. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Senior Product Manager, Customer Insights. Skills: Customer Insights, Data Products, AI-powered insights. Own Customer Insights product area. Define usage data architecture", "postedDate" : "2026-06-15T08:52:20.464", "createdAt" : "2026-06-15T08:52:20.464", "lastUpdated" : "2026-06-16T14:16:35.966", "ingestTimestamp" : "2026-06-16T03:25:24.529", "mongoId" : "6a30511af292fd229cefa48d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Data modeling", "Instrumentation strategies", "Metrics design", "Data pipelines", "Analytical frameworks", "API design", "Customer Insights", "Data Products", "AI-powered insights", "Roadmap development", "Prioritization", "Data architecture", "Stakeholder management", "Cross-functional collaboration", "Product strategy", "Customer retention", "Customer growth", "Value measurement", "Enterprise administrators", "AI-native user experiences", "Intelligent analytics", "Governance requirements", "Compliance requirements", "Operational requirements", "Identity management", "Security domains", "Compliance domains", "Enterprise analytics" ], "skillCount" : 28, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 806.398, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30511af292fd229cefa48c", "title" : "Senior Product Manager, Customer Insights", "industry" : "Product", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Product Manager in the Technology industry in Bulgaria, adjusted for seniority and remote work." }, "location" : "Canada", "locations" : [ "Canada" ], "timestamp" : "2026-06-16T13:03:47.596", "fingerprint" : "0d7b98f3cf4ba4103012106b5097798c477c356e660b0ff25a3656601e1f0034", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/1a27ef19-4c6f-48ca-86a3-ba515ee8f7ce/apply", "externalId" : "1a27ef19-4c6f-48ca-86a3-ba515ee8f7ce", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 4, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Product strategy", "Roadmap development", "Data modeling", "Reporting frameworks", "AI technologies", "Conversational analytics", "Proactive recommendations", "Intelligent workflows", "Data pipelines", "Aggregation strategies", "Data quality", "Scalability considerations", "Product-market fit", "Cross-functional leadership" ], "hardSkillsList" : [ "Analytics", "Reporting", "Business intelligence", "Data products", "Data models", "Instrumentation strategies", "Key metrics", "Reporting frameworks", "Data pipelines", "Aggregation strategies", "Data quality", "Scalability", "AI technologies", "Conversational analytics", "Proactive recommendations", "Intelligent workflows", "Audit capabilities", "Governance capabilities" ], "hardSkills" : [ { "name" : "Analytics", "level" : "intermediate" }, { "name" : "Reporting", "level" : "intermediate" }, { "name" : "Business intelligence", "level" : "intermediate" }, { "name" : "Data products", "level" : "intermediate" }, { "name" : "Data models", "level" : "intermediate" }, { "name" : "Instrumentation strategies", "level" : "intermediate" }, { "name" : "Key metrics", "level" : "intermediate" }, { "name" : "Reporting frameworks", "level" : "intermediate" }, { "name" : "Data pipelines", "level" : "intermediate" }, { "name" : "Aggregation strategies", "level" : "intermediate" }, { "name" : "Data quality", "level" : "intermediate" }, { "name" : "Scalability", "level" : "intermediate" }, { "name" : "AI technologies", "level" : "intermediate" }, { "name" : "Conversational analytics", "level" : "intermediate" }, { "name" : "Proactive recommendations", "level" : "intermediate" }, { "name" : "Intelligent workflows", "level" : "intermediate" }, { "name" : "Audit capabilities", "level" : "intermediate" }, { "name" : "Governance capabilities", "level" : "intermediate" } ], "majorSkills" : "Product strategy, Roadmap development, Analytics, Reporting, Data products, AI-powered insights", "majorSkillsList" : [ "Product strategy", "Roadmap development", "Analytics", "Reporting", "Data products", "AI-powered insights" ], "coreResponsibilities" : "Define product strategy, Execute product strategy, Define product roadmap, Execute product roadmap, Define product vision, Ensure alignment business objectives, Ensure alignment customer needs, Own end-to-end development analytics, Own end-to-end development reporting, Develop foundational data models, Develop customer-facing dashboards, Develop customer-facing reports, Develop audit logs, Develop APIs, Partner with engineering teams, Partner with data teams, Establish scalable data foundations, Establish meaningful usage metrics, Establish reporting frameworks, Support customer growth, Support customer retention, Lead evolution enterprise-grade audit, Lead evolution governance capabilities, Ensure usability audit capabilities, Ensure scalability audit capabilities, Ensure compliance readiness audit, Drive development AI-powered insights, Develop conversational analytics, Develop proactive recommendations, Develop intelligent workflows, Collaborate with Sales teams, Collaborate with Customer Success teams, Transform product data, Create compelling customer value narratives, Support renewals, Support account expansion, Engage directly with enterprise administrators, Engage directly with IT leaders, Engage directly with security stakeholders, Validate priorities, Ensure product-market fit, Work cross-functionally with adjacent teams, Create seamless experiences administration, Create seamless experiences identity management, Create seamless experiences security, Create seamless experiences governance, Translate complex business challenges, Translate ambiguous business challenges, Create intuitive product solutions, Create actionable product solutions", "teamCollaboration" : "Cross-functional teams; Engineering teams; Data teams; Sales teams; Customer Success teams; Adjacent product teams; Enterprise administrators; IT leaders; Security stakeholders", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Customer Insights; Data products; Analytics; Reporting; Business intelligence; Data models; Data pipelines; AI-native analytics; Insight-driven experiences; Enterprise administration; Governance; Identity management; Security; Compliance; Audit", "domainList" : [ "customer-insights", "data-products", "analytics", "reporting", "business-intelligence", "data-models", "data-pipelines", "ai-native-analytics", "insight-driven-experiences", "enterprise-administration", "governance", "identity-management", "security", "compliance", "audit" ], "domainSpecificKnowledge" : [ "Customer Insights", "Data products", "Analytics", "Reporting", "Business intelligence", "Data models", "Data pipelines", "AI-native analytics", "Insight-driven experiences", "Enterprise administration", "Governance", "Identity management", "Security", "Compliance", "Audit" ], "communicationSkills" : "Stakeholder management; Cross-functional leadership", "innovationCreativity" : "AI-powered insights experiences", "problemSolvingSkills" : "Analytical thinking; Problem-solving abilities; Translate complex challenges; Create actionable solutions", "outcomesObjectives" : "Support customer growth; Support customer retention; Support renewals; Support account expansion; Ensure product-market fit; Deliver measurable outcomes", "qualificationsBasic" : "4+ years product management experience, 2+ years analytics experience, 2+ years reporting experience, 2+ years business intelligence experience, 2+ years data-driven products experience, Define data models experience, Define instrumentation strategies experience, Define key metrics experience, Define reporting frameworks experience, Collaborate with engineering teams, Collaborate with data teams, Understand AI technologies, Convert complex business problems, Deliver measurable outcomes, Partner with customer-facing teams, Support customer success initiatives, Support customer retention initiatives, Support revenue growth initiatives, Analytical thinking, Problem-solving abilities, Comfort in evolving environments, Comfort in ambiguous environments", "qualificationsPreferred" : "Experience building enterprise administration products, Experience building governance products, Experience building identity and access management products, Experience building security products, Experience building compliance products, Experience building audit-related products, Background in business intelligence platforms, Background in analytics tools, Background in data-centric software products, Experience designing customer-facing APIs, Experience delivering customer-facing APIs", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Define and execute the product strategy, roadmap, and vision for the Customer Insights domain, ensuring alignment between business objectives and customer needs. Own the end-to-end development of analytics and reporting capabilities, from foundational data models to customer-facing dashboards, reports, audit logs, and APIs. Partner with engineering and data teams to establish scalable data foundations, meaningful usage metrics, and reporting frameworks that support customer growth and retention. Lead the evolution of enterprise-grade audit and governance capabilities, ensuring usability, scalability, and compliance readiness. Drive the development of AI-powered insights experiences, including conversational analytics, proactive recommendations, and intelligent workflows. Collaborate with Sales and Customer Success teams to transform product data into compelling customer value narratives that support renewals and account expansion. Engage directly with enterprise administrators, IT leaders, and security stakeholders to validate priorities and ensure product-market fit. Work cross-functionally with adjacent product teams to create seamless experiences across administration, identity management, security, and governance domains. Translate complex and ambiguous business challenges into intuitive, actionable product solutions. Requirements 4+ years of product management experience, including at least 2 years focused on analytics, reporting, business intelligence, or data-driven products. Strong expertise in data products, with hands-on experience defining data models, instrumentation strategies, key metrics, and reporting frameworks. Ability to collaborate effectively with engineering and data teams on technical topics such as data pipelines, aggregation strategies, data quality, and scalability considerations. Demonstrated understanding of AI technologies and a strong perspective on the future of AI-native analytics and insight-driven experiences. Proven track record of converting complex business problems into successful product solutions that deliver measurable outcomes. Experience partnering with customer-facing teams to support customer success, retention, and revenue growth initiatives. Excellent communication, stakeholder management, and cross-functional leadership skills. Strong analytical thinking, problem-solving abilities, and comfort working in evolving and ambiguous environments. Preferred Qualifications Experience building enterprise administration, governance, identity and access management, security, compliance, or audit-related products. Background in business intelligence platforms, analytics tools, or data-centric software products. Experience designing and delivering customer-facing APIs for analytics, reporting, or data access use cases. Benefits Competitive salary package with a target compensation range of $160,000–$215,000 CAD equivalent, based on experience, location, and qualifications. Performance-based bonus opportunities. Comprehensive health and wellness benefits. Fully remote work environment with flexibility and autonomy. Opportunity to work on innovative AI-powered and data-driven products at enterprise scale. High visibility and ownership within a strategic product area. Collaborative, cross-functional, and mission-driven work culture. Career growth opportunities within a rapidly evolving product organization. Inclusive workplace committed to equal opportunity and providing reasonable accommodations throughout the hiring process and employment lifecycle. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Senior Product Manager, Customer Insights. Skills: Product strategy, Roadmap development, Analytics, Reporting, Data products, AI-powered insights. Define product strategy. Execute product strategy", "postedDate" : "2026-06-15T08:54:19.604", "createdAt" : "2026-06-15T08:54:19.604", "lastUpdated" : "2026-06-16T13:03:47.596", "ingestTimestamp" : "2026-06-16T03:23:34.741", "mongoId" : "6a30511af292fd229cefa48c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Analytics", "Reporting", "Business intelligence", "Data products", "Data models", "Instrumentation strategies", "Key metrics", "Reporting frameworks", "Data pipelines", "Aggregation strategies", "Data quality", "Scalability", "AI technologies", "Conversational analytics", "Proactive recommendations", "Intelligent workflows", "Audit capabilities", "Governance capabilities", "Product strategy", "Roadmap development", "AI-powered insights", "Data modeling", "Scalability considerations", "Product-market fit", "Cross-functional leadership", "Roadmap planning", "Customer Insights", "AI-native analytics", "Insight-driven experiences", "Enterprise administration", "Governance", "Identity management", "Security", "Compliance", "Audit" ], "skillCount" : 35, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 801.87805, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c7e8174d8ee00a0952a88", "title" : "Insights Sales Lead", "company" : "dunnhumby", "industry" : "Retail", "salary" : { "min" : 95000.0, "max" : 140000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Insights Sales Lead in London, UK, adjusted for the retail industry and dunnhumby's company size." }, "location" : "London", "locations" : [ "London" ], "timestamp" : "2026-06-16T04:21:21.290", "fingerprint" : "cc6c31c78d2460e0c6ec3496a8820aa907d71254efe49ac9841e8d125d36d4e2", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/dunnhumby/jobs/7654891003", "externalId" : "7654891003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "professionalSkills" : [ "Category management strategies", "Client relationship management", "Commercial accountability", "Value opportunity identification", "Insight translation", "Forecasting", "Opportunity pipeline management" ], "hardSkillsList" : [ "Data analysis", "Insight generation" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Insight generation", "level" : "intermediate" } ], "majorSkills" : "Client partnerships, Commercial growth, Insight-led recommendations", "majorSkillsList" : [ "Client partnerships", "Commercial growth", "Insight-led recommendations" ], "coreResponsibilities" : "Own commercial performance across clients, Build senior-level client partnerships, Diagnose business challenges, Translate insight into recommendations, Identify, shape and progress opportunities, Lead client conversations, Influence decision-making, Drive meaningful action, Maintain accurate forecasting, Manage opportunity pipeline", "teamCollaboration" : "Partner closely with Client Success", "domainKnowledge" : "Customer Data Science; Retail insight", "domainList" : [ "customer-data-science", "retail-insight" ], "domainSpecificKnowledge" : [ "Customer Data Science", "Retail insight" ], "communicationSkills" : "Client conversations; Stakeholder influence", "continuousLearning" : "Develop commercial skills; Develop client-partnering skills", "problemSolvingSkills" : "Diagnose complex challenges; Translate data into insight", "outcomesObjectives" : "Deliver measurable impact; Drive revenue growth; Achieve long-term value", "qualificationsBasic" : "Commercial, insight or client-facing role experience, Accountable for commercial outcomes, Analytical and numerical capability, Translate data into actionable insight, Consultative mindset, Shape solutions, Clear, credible communication skills, Influence stakeholders at varying levels, Work across clients of differing size, maturity and complexity, Growth-oriented mindset", "qualificationsPreferred" : "Experience in retail, FMCG/CPG or data-led environments", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "dunnhumby is the global leader in Customer Data Science, partnering with the world’s most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value for their customers. dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Nestlé, Unilever and Metro. Location: London This role sits at the centre of how leading brands use insight to drive growth with Tesco. You will operate as a trusted advisor to clients, working closely with them to understand complex commercial challenges, shape insight‑led category management strategies, and deliver measurable impact across their Tesco performance. While not a traditional sales role, the position carries clear commercial accountability. You will be responsible for owning senior client relationships, identifying and progressing value opportunities, and translating insight into commercially meaningful outcomes. You’ll work across a varied client portfolio, with scope and complexity aligned to experience and evolving business need. This role offers significant ownership, influence, and progression. What you’ll do Own commercial performance across a portfolio of Tesco‑facing clients, with clear accountability for revenue, growth and long‑term value Build trusted, senior‑level client partnerships grounded in commercial understanding, insight and data Diagnose complex business challenges and translate insight into clear, value‑led recommendations Identify, shape and progress opportunities across renewals, expansion and new solutions Lead structured, insight‑led client conversations that influence decision‑making and drive meaningful action Maintain accurate forecasting and a disciplined, prioritised opportunity pipeline Partner closely with Client Success to ensure high‑quality delivery and sustained commercial impact What you’ll bring Experience in a commercial, insight or client‑facing role within retail, FMCG/CPG or data‑led environments Confidence taking ownership of client relationships and being accountable for commercial outcomes Strong analytical and numerical capability, with the ability to translate data into compelling, actionable insight A consultative mindset, focused on diagnosing problems and shaping solutions rather than presenting information Clear, credible communication skills, with the ability to influence stakeholders at varying levels of seniority Comfort working across clients of differing size, maturity and complexity A growth‑oriented mindset, with ambition to develop into more complex and strategic client partnerships over time Why join? This is a high‑impact role with strong visibility, offering exposure to Tesco, leading brands, and some of the most advanced retail insight capabilities in the market. You’ll develop deep commercial and client‑partnering skills, work across a broad range of business challenges, and have a clear pathway into more senior Client Partner roles as your scope and influence expand. What you can expect from us We won’t just meet your expectations. We’ll defy them. So you’ll enjoy the comprehensive rewards package you’d expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off. You’ll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn. And we don’t just talk about diversity and inclusion. We live it every day – with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you. Our approach to Flexible Working At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work. We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process. For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)", "summaryDescription" : "Insights Sales Lead at dunnhumby. Skills: Client partnerships, Commercial growth, Insight-led recommendations. Own commercial performance across clients. Build senior-level client partnerships", "postedDate" : "2026-06-14T20:02:39.238", "createdAt" : "2026-06-14T20:02:39.238", "lastUpdated" : "2026-06-16T04:21:21.290", "ingestTimestamp" : "2026-06-14T20:02:39.238", "mongoId" : "6a2c7e8174d8ee00a0952a88", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Insight generation", "Client partnerships", "Commercial growth", "Insight-led recommendations", "Category management strategies", "Client relationship management", "Commercial accountability", "Value opportunity identification", "Insight translation", "Forecasting", "Opportunity pipeline management", "Customer Data Science", "Retail insight" ], "skillCount" : 14, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "_score" : 785.7301, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Retail", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305ffff292fd229cf840cc", "title" : "Retail Insights Manager", "company" : "SPINS", "industry" : "Retail", "salary" : { "min" : 65000.0, "max" : 95000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Retail Insights Manager in Bulgaria, adjusted for a full-time remote role." }, "location" : "Remote", "locations" : [ "Remote", "Chicago", "Illinois", "United States" ], "timestamp" : "2026-06-16T08:10:16.333", "fingerprint" : "a5016047951be6731f0733443befa5cc1dfc20e996afd4165599fb55aaa4ccdf", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.spins.com/work-at-spins/?gh_jid=7655949", "externalId" : "7655949", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "experienceLevel" : "Manager", "technicalSkills" : "MS Office, Excel, PowerPoint, Outlook", "professionalSkills" : [ "Analytics", "Storytelling", "Reporting efficiency" ], "hardSkillsList" : [ "Data analysis", "Strategic analysis" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Strategic analysis", "level" : "intermediate" } ], "majorSkills" : "Retail analytics, Client management, Data insights", "majorSkillsList" : [ "Retail analytics", "Client management", "Data insights" ], "coreResponsibilities" : "Lead delivery of strategic analyses, Deliver insights and recommendations, Apply SPINS proprietary assets, Work directly with executives, Understand client opportunities, Develop growth solutions, Develop growth strategies, Partner with client, Assess reporting and tools, Improve reporting and tools, Deliver client training sessions, Ensure client captures value, Provide business growth opportunities, Bring forward thought leadership, Add value to clients, Add insights to clients", "teamCollaboration" : "Client team members; Client stakeholders", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "CPG/Retail analytics; Natural products industry", "domainList" : [ "cpg-retail-analytics", "natural-products-industry" ], "domainSpecificKnowledge" : [ "CPG/Retail analytics", "Natural products industry" ], "toolProficiency" : [ "Circana", "NielsenIQ", "SPINS", "Numerator" ], "communicationSkills" : "Presentation skills", "problemSolvingSkills" : "Strategic analyses", "outcomesObjectives" : "Capture biggest growth opportunities; Drive client's business forward; Ensure client captures value", "qualificationsBasic" : "2-4 years CPG/Retail analytics experience, Prior experience managing client stakeholders, Prior experience in translating data, Excellent presentation skills, Prior experience with syndicated data, Intermediate MS Office skills", "qualificationsPreferred" : "Experience with Distributor or Retailer, Comfortable with complexity, Interpersonal skills, Organizational skills, Project management skills, Ability to understand customer mindset, Skilled at leveraging business relationships, Experience with natural products industry", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Who We Are For over 20 years, SPINS has been a leader in recognizing the transformative power of data in retail. We offer our clients cutting-edge tools to attract attention from a fast-growing segment within the Health however, qualified applicants from other locations will be considered Retail Insights Manager Summary The Retail Team is focused on recruiting, retaining, and expanding our partnerships with retailers and distributors to ensure their sustained growth. Retail is the cornerstone of SPINS as our Retail Partners are the primary source of data fueling our front-end applications and enabling our proprietary Product Intelligence. SPINS is focused on helping our clients achieve sustained, profitable growth. The Retail Support Team uses SPINS industry-leading Natural, Organic, and Specialty Products Retail Market Information in combination with analytics and strategic analyses to generate powerful insights. This Retail Insights Manager will be working directly with clients to help them capture their biggest growth opportunities. Job Duties & Responsibilities Lead the delivery of strategic analyses, insights, and recommendations based on applying SPINS proprietary assets, in combination with the client's team members and client's information. Work directly with executives at our client company to understand their opportunities and develop growth solutions and strategies to capture them. Partner with the client to understand, continually assess, and improve reporting and tools to continue to drive forward the client's business. Deliver client training sessions to ensure client captures value of the SPINS assets and provide business growth opportunities. Brings forward relevant SPINS and 3rd party thought leadership to add additional value and insights to assigned clients. Requirements: Education & Experience 2-4 years CPG/Retail analytics experience in with a Distributor, Retailer, CPG company, or Market Research firm Prior experience managing client stakeholders and multiple projects concurrently Prior experience in translating data and using analyses in storytelling and reporting efficiency Excellent presentation skills and is very comfortable presenting to clients Initiative, creativity and a passion to deliver results that make a difference to our client Self-starter, with strong intellectual curiosity Prior experience with syndicated data such as Circana (IRi), NielsenIQ, SPINS, Numerator, etc. Intermediate knowledge/skills in MS Office (Excel, PowerPoint, Outlook) The following is strongly preferred: Experience with Distributor or Retailer Comfortable with complexity Interpersonal, organizational and project management skills Ability to understand the customer mindset and offer solutions Skilled at leveraging business relationships at all levels within the organization Experience with the natural products industry Salary Range: $80,000 to $90,000 Note: Applicants must be authorized to work for any US employer. We are unable to sponsor or take over sponsorship of an employment Visa at this time. #LI-SB1 #LI-Hybrid What SPINS Offers We have enjoyed tremendous growth over the years and, as a leader in a fast-growing industry, we have no plans to slow down! While all that growth brings excitement, it is also an opportunity for SPINS to show it values the health and wellness of its team members. We embrace hybrid work options so that you have the flexibility to create a work/life balance that actually works! Each employee is allotted paid time to use to volunteer with an organization of their choice and charitable donations are matched. Semi-annual company-wide employee survey that is used to shape company programs, perks, and culture. The SPINS Way Direct – We communicate with clarity, honesty and respect in all situations and embrace opportunities to provide solution-oriented feedback. Determined – We are committed to overcoming all obstacles to achieve results. We adapt to change, seek opportunities to learn and rapidly translate that learning into action. Passionate – We go above and beyond to help our partners achieve their goals. We challenge assumptions and are comfortable forging new paths. Collaborative – We leave our egos at the door, believing that working together we will produce an outcome that’s greater than each individual contribution. For details about the information SPINS’s collects about our applicants and how we use it, please see the SPINS Privacy Policy here.", "summaryDescription" : "Retail Insights Manager at SPINS. Skills: Retail analytics, Client management, Data insights. Lead delivery of strategic analyses. Deliver insights and recommendations", "postedDate" : "2026-06-15T23:22:36.694", "createdAt" : "2026-06-15T23:22:36.694", "lastUpdated" : "2026-06-16T08:10:16.333", "ingestTimestamp" : "2026-06-15T23:22:36.694", "mongoId" : "6a305ffff292fd229cf840cc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Strategic analysis", "Retail analytics", "Client management", "Data insights", "Analytics", "Storytelling", "Reporting efficiency", "Project management", "CPG/Retail analytics", "Natural products industry", "Circana", "NielsenIQ", "SPINS", "Numerator" ], "skillCount" : 15, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 777.47974, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Retail", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305b67f292fd229cf5d4fc", "title" : "Director, Insights and Analytics", "company" : "Dyne Therapeutics", "industry" : "Biotech", "salary" : { "min" : 190000.0, "max" : 240000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Waltham, Massachusetts, United States", "locations" : [ "Waltham", "Massachusetts", "United States" ], "timestamp" : "2026-06-16T08:31:17.425", "fingerprint" : "59f22a5765c588850e3ab8950630ad9bde5cc8895614c342afcde66b49a10ae1", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/dynetherapeutics/jobs/6020363004", "externalId" : "6020363004", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Waltham", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3762385,-71.2355644" } ], "locationText" : "Waltham, Massachusetts, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "Python, R, SQL, JMP, Spotfire", "professionalSkills" : [ "Statistical analysis", "Data analysis", "Data visualization" ], "hardSkillsList" : [ "Statistical modeling", "Experimental design" ], "hardSkills" : [ { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Experimental design", "level" : "intermediate" } ], "majorSkills" : "Statistical modeling, Data analysis", "majorSkillsList" : [ "Statistical modeling", "Data analysis" ], "coreResponsibilities" : "Analyze experimental data, Develop statistical models, Design experiments, Generate reports, Communicate findings", "teamCollaboration" : "Research and Development teams; Cross-functional teams", "domainKnowledge" : "Biotechnology; Drug discovery", "domainList" : [ "biotechnology", "drug-discovery" ], "domainSpecificKnowledge" : [ "Biotechnology", "Drug discovery" ], "toolProficiency" : [ "JMP", "Spotfire", "R", "Python", "SQL" ], "communicationSkills" : "Written reports; Oral presentations", "documentationSkills" : "Technical documentation", "problemSolvingSkills" : "Data interpretation; Troubleshooting", "qualificationsBasic" : "5+ years experience, Bachelor's degree", "qualificationsPreferred" : "Master's degree preferred, PhD preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Company Overview: Dyne Therapeutics is focused on delivering functional improvement for people living with genetically driven neuromuscular diseases. We are developing therapeutics that target muscle and the central nervous system (CNS) to address the root cause of disease. The company is advancing clinical programs for Duchenne muscular dystrophy (DMD) and myotonic dystrophy type 1 (DM1) as well as a preclinical programs for facioscapulohumeral muscular dystrophy (FSHD) and Pompe disease. At Dyne, we are on a mission to deliver functional improvement for individuals, families and communities. Learn more at https://www.dyne-tx.com/, and follow us on X, LinkedIn and Facebook. Role Summary: The Director, Insights and Analytics leads the generation of actionable market, customer, and data-driven insights to inform commercial strategy and execution across Dyne’s portfolio of assets in clinical development for rare neuromuscular diseases. This role integrates forecasting, market research, competitive intelligence, and advanced analytics to shape strategic decisions, optimize go-to-market planning, and enable organizational alignment. The Director serves as a strategic partner across cross-functional teams, translating complex data into clear, impactful recommendations that drive business outcomes. This role is based in Waltham, MA. Primary Responsibilities Include: Forecasting and Strategic Planning Lead development of long-range global forecasting models and scenario planning tools to project product uptake, access, and revenue Evaluate and enhance forecasting methodologies to improve accuracy, scalability, and agility Synthesize inputs across multiple data sources (e.g., market research, competitive intelligence, analogs) to validate assumptions and inform projections Support long-range planning, lifecycle management, and commercial assessments for pipeline and business development opportunities Partner with commercial operations and finance to guide operational forecasting and annual planning processes (AOP/budgeting) Serve as a strategic advisor to cross-functional stakeholders across Brand, Market Access, Finance, Supply, Trade, and IT Market Research and Insights Generation Design and execute global insights generation plans leveraging primary and secondary market research Manage end-to-end market research processes, including RFP development, vendor selection, and project execution Translate research findings into clear, actionable insights and strategic recommendations for senior leadership Ensure all research activities comply with data governance, privacy standards, and relevant external engagement policies Build strong partnerships with internal stakeholders to align insights with business priorities Competitive Intelligence Lead competitive intelligence strategy and analysis for key therapeutic areas, assessing market dynamics and competitive positioning Oversee execution of competitive intelligence activities, including monitoring, reporting, ad hoc analyses, and congress intelligence Deliver timely, actionable insights to inform go-to-market strategies, product development, and positioning Develop executive-ready materials and briefings to support leadership decision-making Represent the organization as the primary point of contact for competitive intelligence and at key congresses Commercial Data Analytics and Capability Building Expand and optimize the organization’s data ecosystem, including evaluation and integration of new data sources and tools Lead development of dashboards, KPIs, and performance tracking frameworks to enable data-driven decision-making Apply advanced analytics, statistical modeling, and trend analysis to generate insights from internal and external data Translate complex data into compelling narratives and recommendations that influence business action Educate stakeholders on data tools, dashboards, and data literacy to drive adoption and impact Ensure adherence to data governance, compliance, and privacy standards Education and Skills Requirements: Bachelor’s degree required; advanced degree (MBA, PhD, PharmD) preferred 10+ years of experience in forecasting, market research, competitive intelligence, and/or data analytics within biotech or pharmaceutical environments Experience supporting product launches and/or rare disease markets preferred Strong understanding of regulatory and compliance considerations related to market research and data usage in pharma/biotech Demonstrated ability to synthesize complex data and communicate insights clearly to diverse audiences, including senior leadership Exceptional data storytelling skills with expertise in translating insights into impactful presentations and recommendations Proven ability to lead through influence in a cross-functional, matrixed environment Experience managing external vendors, including negotiation, scope management, and performance oversight Strong business acumen with the ability to connect insights to strategic and operational decisions Ability to operate effectively in a fast-paced, dynamic environment while managing multiple priorities Demonstrates high standards of professionalism, integrity, and accountability #LI-Onsite MA Pay Range $190,000—$240,000 USD The pay range reflects the base pay range Dyne reasonably expects to pay for this role at the time of posting. Individual compensation depends on factors such as education, experience, job-related knowledge, and demonstrated skills. The statements contained herein reflect general details as necessary to describe the principles functions for this job, the level of knowledge and skill typically required, and the scope of responsibility, but should not be considered an all-inclusive listing of work requirements. Individuals may perform other duties as assigned, including work in other functional areas to cover absences or relief, to equalize peak work periods or otherwise balance workload. Dyne Therapeutics is an equal opportunity employer and will not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classification protected by federal, state, or local law.", "summaryDescription" : "Director, Insights and Analytics at Dyne Therapeutics. Skills: Statistical modeling, Data analysis. Analyze experimental data. Develop statistical models", "postedDate" : "2026-06-15T23:23:00.223", "createdAt" : "2026-06-15T23:23:00.223", "lastUpdated" : "2026-06-16T08:31:17.425", "ingestTimestamp" : "2026-06-15T23:23:00.223", "mongoId" : "6a305b67f292fd229cf5d4fc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 190000, "salaryAnnualMax" : 240000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Statistical modeling", "Experimental design", "Data analysis", "Statistical analysis", "Data visualization", "Biotechnology", "Drug discovery", "JMP", "Spotfire", "R", "Python", "SQL" ], "skillCount" : 12, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "_score" : 731.2579, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306724f292fd229cfb9ac9", "title" : "Evidence and Insights Manager", "company" : "Girl Effect", "industry" : "Media", "salary" : { "min" : 3800000.0, "max" : 6500000.0, "currency" : "KES", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Evidence and Insights Manager in Kenya, adjusted for the non-profit industry and contract employment type." }, "location" : "Kenya", "locations" : [ "Kenya" ], "timestamp" : "2026-06-16T06:58:42.744", "fingerprint" : "fe282112e60fdd0b35eb9991d7b1a64b9dc9a306eafa3ea496f05e08adbd32f2", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/girleffect/jobs/8591795002", "externalId" : "8591795002", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Kenya", "continent" : "af", "workMode" : "onsite" } ], "locationText" : "Kenya", "employmentType" : "CONTRACT", "experienceMinYears" : 4, "experienceLevel" : "Manager", "professionalSkills" : [ "Applied research", "Monitoring and evaluation", "Research design", "Fieldwork", "Data analysis", "Reporting", "Commissioning research", "Managing research", "Strategic planning", "Knowledge management", "Project management" ], "hardSkillsList" : [ "Qualitative analysis", "Quantitative analysis", "Digital data analysis", "Research methods", "Data analysis", "Reporting" ], "softSkillsList" : [ "Leadership", "Negotiation", "Conflict resolution", "Public speaking", "Critical thinking", "Mentoring" ], "hardSkills" : [ { "name" : "Qualitative analysis", "level" : "intermediate" }, { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Digital data analysis", "level" : "intermediate" }, { "name" : "Research methods", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Reporting", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Negotiation" }, { "name" : "Conflict resolution" }, { "name" : "Public speaking" }, { "name" : "Critical thinking" }, { "name" : "Mentoring" } ], "majorSkills" : "Applied research, Monitoring and evaluation, Data analysis, Reporting", "majorSkillsList" : [ "Applied research", "Monitoring and evaluation", "Data analysis", "Reporting" ], "coreResponsibilities" : "Write requests for proposals, Write Terms of Reference, Review research tools, Advise on sampling strategies, Advise on methodologies, Review analysis, Review reporting, Support quality assurance during fieldwork, Conduct on-site visits, Provide technical expertise to research projects, Provide technical expertise to M&E projects, Advise on fit-for-purpose designs, Suggest qualitative methodologies, Suggest quantitative methodologies, Suggest other research approaches, Ensure ethical standards are upheld, Ensure safeguarding standards are upheld, Ensure field implementation is conducted to high standards, Train field research partners, Oversee field research partners, Ensure research outputs are accessible, Ensure research outputs are understandable, Ensure research outputs are useful, Utilise research outputs, Develop research partnerships, Maximise opportunities for cost-sharing, Maximise opportunities for joint learning, Deliver other duties relevant to position", "teamCollaboration" : "Work across functions; Work across countries; Work alongside global MERL team", "projectManagementSkills" : [ "Project management", "Research processes", "Research timelines" ], "domainKnowledge" : "Gender; Sexual reproductive health; Mental health; Economic empowerment", "domainList" : [ "gender", "sexual-reproductive-health", "mental-health", "economic-empowerment" ], "domainSpecificKnowledge" : [ "Gender", "Sexual reproductive health", "Mental health", "Economic empowerment" ], "communicationSkills" : "Knowledge management communication; Engaging reports; Research outputs communication", "documentationSkills" : "Reporting; Research outputs", "innovationCreativity" : "Creative mindset", "problemSolvingSkills" : "Uncovering new insights; Translating insights", "specialRequirements" : "12 month contract basis", "qualificationsBasic" : "Minimum 5 years applied research, Minimum 4 years M&E experience, Postgraduate degree in relevant field, SQL proficiency, Qualitative and quantitative research design, Fieldwork experience, Data analysis experience, Reporting experience, Commissioning research agencies, Managing research agencies, Qualitative data analysis, Quantitative data analysis, Digital adaptations data analysis, Uncovering new insights, Translating insights into reports, Strategic planning experience, Knowledge management experience, Communication skills, Organisation skills, Project management skills, Cultural awareness, Sensitivity to cultures, Creative mindset, Inquisitive mindset, Fluent in English, High level English writing, High level English speaking", "qualificationsPreferred" : "Experience with girls on sensitive issues, Experience with participatory engagement, Technical knowledge in thematic areas, Background evaluating programs for women/girls, Hands-on applied research experience, Experience training others in research methods, Experience mentoring others in research methods, Experience training others in data analysis, Experience mentoring others in data analysis, Experience training others in reporting, Experience mentoring others in reporting", "remoteFriendly" : true, "rawDescription" : "Who we are Girl Effect is an international non-profit that builds media that girls want, trust and need. From chat-bots to chat-shows and TV dramas to tech, our content is reaching millions of girls in Africa and Asia to make choices and changes in their lives. Igniting their confidence to act differently at a time that can define their future. We create safe spaces for girls, sharing facts, and answering questions about health, nutrition, education, relationships and so much more. And we use innovative technology so we can reach girls at scale. We arm girls with the skills to negotiate and redefine what they are told is possible, so every girl can choose to be in control of her body, her health, her learning and livelihood. When a girl unlocks her power to make different choices that change her life, it inspires others to do so too. She starts a ripple effect that impacts her family, her community, her country. That’s the Girl Effect. Role Context The Evidence write requests for proposals and Terms of Reference for studies, review research tools, advise on sampling strategies and methodologies, and review analysis and reporting. Support with quality assurance during fieldwork, with on-site visits' or something, as I think this will be a key aspect of the role. Provide technical expertise to research, monitoring, and evaluation projects, working alongside our global MERL team as required. You will advise on fit-for purpose designs suggesting qualitative and/or quantitative methodologies or other approaches (e. g. using digital methods or secondary data sources) as appropriate. Ensure that Girl Effect’s ethical and safeguarding standards are upheld, and that field implementation is conducted to the highest standards, through training and oversight of field research partners. Ensure that research outputs are accessible, readily understandable, and useful, ensuring they are utilised as much as possible. Develop research partnerships with local and international research organisations to maximise opportunities for cost-sharing and joint learning. This list should not be considered exhaustive; you will be expected to deliver other duties relevant and appropriate to this position. Who You Are (Experience Required) Substantial experience (minimum 5 years) in applied research and/or monitoring and evaluation in Kenya or a postgraduate degree in a relevant field and at least 4 years of work experience. Passionate about working with adolescent girls and young women and truly supporting them thrive in challenging environments. Demonstrated experience in implementation of high quality qualitative and quantitative research design, fieldwork, data analysis and reporting. Experience of commissioning and managing research agencies throughout projects ensuring deliverables are completed on time and meeting the organisational needs. Strong qualitative and quantitative data analysis skills; proficient with digital adaptations. Demonstrated experience in uncovering new insights and translating these into exciting, engaging reports and research outputs. Experience in strategic planning and knowledge management Strong communication skills; able to work effectively across functions and countries. Excellent organisation and project management skills; able to develop and drive research processes and timelines. Strong cultural awareness and sensitivity about the cultures within which Girl Effect operates. Creative and inquisitive mindset with strong communication and organisational skills. Commitment to realising the potential of girls and to the vision and values of Girl Effect. Desirable Expertise working with girls on sensitive issues in Kenya Experience with participatory engagement approaches Technical/theoretical knowledge in one or more of Girl Effect’s thematic areas (e. g. gender, sexual and reproductive health, mental health, or economic empowerment) Background in evaluating programmes that relate to women and girls Hands-on experience of applied research in emerging markets or developing contexts. Experience in training and mentoring others in research methods, data analysis and reporting. Fluent in English, with a high level in writing as well as speaking What Else You Should Know As we continue to scale and grow - we are hugely ambitious for our future and we are looking for people who are driven to change the world for girls. Our teams are a diverse mix across sectors (non-profit and commercial) and specialisms (from Creative through to Gender and Insight). You’ll learn and grow in an environment that will challenge you to think and work with a fresh perspective. In turn, you can expect to work somewhere where you will be stretched and developed in your role, a place where you can build your career and work with talented, engaged people committed to our cause. Girl Effect is committed to equal employment opportunity regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, or gender identity or expression. We are proud to be an equal opportunity workplace. We are committed to building an organisation that is increasingly representative of the communities that we serve. To this end, due regard will be paid to recruiting candidates with diverse professional, academic and cultural backgrounds. Furthermore, Girl Effect is committed to safeguarding and promoting the welfare and rights of all individuals, particularly the adolescent girls and young women we support. We have zero-tolerance for safeguarding violations, including sexual exploitation, abuse, and harassment (SEAH). All employees are required to adhere to our safeguarding policies and successfully complete relevant background checks, including reference and criminal record checks where applicable. This role is subject to a standard background disclosure. This role is being recruited for on a 12 month contract basis. Only applications submitted via https://job-boards.greenhouse.io/girleffect will be reviewed. Application closing date –29th June 2026", "summaryDescription" : "Evidence and Insights Manager at Girl Effect. Skills: Applied research, Monitoring and evaluation, Data analysis, Reporting. Write requests for proposals. Write Terms of Reference", "postedDate" : "2026-06-15T23:29:34.800", "createdAt" : "2026-06-15T23:29:34.800", "lastUpdated" : "2026-06-16T06:58:42.744", "ingestTimestamp" : "2026-06-15T23:29:34.800", "mongoId" : "6a306724f292fd229cfb9ac9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Qualitative analysis", "Quantitative analysis", "Digital data analysis", "Research methods", "Data analysis", "Reporting", "Leadership", "Negotiation", "Conflict resolution", "Public speaking", "Critical thinking", "Mentoring", "Applied research", "Monitoring and evaluation", "Research design", "Fieldwork", "Commissioning research", "Managing research", "Strategic planning", "Knowledge management", "Project management", "Research processes", "Research timelines", "Gender", "Sexual reproductive health", "Mental health", "Economic empowerment" ], "skillCount" : 27, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 729.15686, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Non-Profit", "llmIndustryConfidence" : 0.95 }, { "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, "_score" : 719.849, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "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, "_score" : 707.52264, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Energy", "llmIndustryConfidence" : 0.95 }, { "id" : "68e6b1d770f0b99d58d66972", "title" : "Shipper Performance Coach", "company" : "Amazon. com Services LLC", "industry" : "Supply Chain/Transportation Management, Fulfillment Center, transportation and logistics", "salary" : { "min" : 35900.0, "max" : 66800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Nashville, Tennessee, USA", "locations" : [ "Nashville, Tennessee, USA" ], "timestamp" : "2026-06-15T10:36:51.346", "fingerprint" : "534726fb26be29e379ad257a40345b1a1fa252eaa126feef74796c8f097ef921", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3103653/apply", "externalId" : "e2d49153-ae46-4eae-bf54-6bea16870215", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Nashville", "state" : "Tennessee", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "36.1622767,-86.7742984" } ], "locationText" : "Nashville, Tennessee, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "High school or equivalent diploma", "technicalSkills" : "Microsoft Office, Excel, SQL", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement" ], "hardSkillsList" : [ "Data analysis", "Root cause analysis" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Root cause analysis", "level" : "intermediate" } ], "majorSkills" : "Transportation logistics, Performance coaching, Data insights", "majorSkillsList" : [ "Transportation logistics", "Performance coaching", "Data insights" ], "coreResponsibilities" : "Analyze and interpret shipping performance data, Identify improvement strategies, Develop coaching plans, Implement coaching plans, Enhance shipper performance, Facilitate problem-solving sessions, Conduct root cause analyses, Manage performance metrics, Report on improvement initiatives", "teamCollaboration" : "Collaborate with vendors; Collaborate with sellers; Collaborative problem-solving", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Transportation logistics; Global transportation network; Logistics ecosystem", "domainList" : [ "transportation-logistics", "global-transportation-network", "logistics-ecosystem" ], "domainSpecificKnowledge" : [ "Transportation logistics", "Global transportation network", "Logistics ecosystem" ], "toolProficiency" : [ "Microsoft Outlook", "Microsoft Word", "Microsoft Excel" ], "innovationCreativity" : "Innovative solutions", "problemSolvingSkills" : "Complex shipping challenges; Root cause analysis", "specialRequirements" : "Work overtime as required, Work a flexible schedule/shift/work area, Work weekends, nights, and/or holidays", "outcomesObjectives" : "Optimize shipping performance; Enhance global transportation network; Implement innovative solutions", "qualificationsBasic" : "High school or equivalent diploma, Work 40 hours/week, 1+ years of working with computers, Work a flexible schedule/shift/work area, 18 years of age or older", "qualificationsPreferred" : "1+ years of experience in transportation, logistics, or supply chain, Project management experience or certification, Experience in root cause analysis, Driving process improvements, Adaptability and willingness to learn, Experience with SQL, Bachelor's degree", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We're seeking a dynamic Shipper Performance Coach to revolutionize transportation logistics by driving strategic improvements and solving complex shipping challenges. In this pivotal role, you'll collaborate with vendors and sellers to optimize shipping performance, turning data insights into actionable solutions that enhance our global transportation network. Key job responsibilities - Analyze and interpret complex shipping performance data to identify improvement strategies - Develop and implement targeted coaching plans to enhance shipper performance - Facilitate collaborative problem-solving sessions with shipping partners - Conduct comprehensive root cause analyses of transportation disruptions - Manage and report on key performance metrics and improvement initiatives A day in the life Your day will be a dynamic blend of data analysis, strategic problem-solving, and collaborative coaching. You'll dive into performance metrics, identify improvement opportunities, and work directly with shipping partners to implement innovative solutions. Each day brings new challenges and opportunities to make a meaningful impact on our logistics ecosystem. About the team We are a passionate group of logistics professionals dedicated to continuous improvement and innovation. Our team at Amazon Global Logistics is committed to reimagining transportation efficiency, creating seamless shipping experiences, and driving transformative change in the global logistics landscape. Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan Learn more about our benefits here: https://www.amazon.jobs/en/internal/benefits/us-benefits-and-stock Basic Qualifications: - High school or equivalent diploma - Work 40 hours/week, and overtime as required - 1+ years of working with computers and Microsoft Office (including Outlook, Word, and Excel) experience - Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays - Are 18 years of age or older Preferred Qualifications: - 1+ years of experience in transportation, logistics, or supply chain - Project management experience or certification (e.g., PMP, CPIM) - Experience in root cause analysis and driving process improvements - Adaptability and willingness to learn new skills and technologies - Experience with SQL - Bachelor's degree - If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply! 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. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $35,900/year in our lowest geographic market up to $66,800/year in our highest geographic market. Pay is based on a number of factors including market location 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. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Shipper Performance Coach at Amazon. com Services LLC. Skills: Transportation logistics, Performance coaching, Data insights. Analyze and interpret shipping performance data. 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"seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "_score" : 706.2178, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Logistics", "llmIndustryConfidence" : 0.95 }, { "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, "_score" : 696.91833, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.97 }, { "id" : "6a2c692474d8ee00a0906355", "title" : "Omnichannel Recommendations - GTM Specialist", "company" : "Constructor", "industry" : "Sales", "salary" : { "min" : 115000.0, "max" : 165000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Omnichannel Recommendations - GTM Specialist in the United States, adjusted for the e-commerce industry and remote work." }, "location" : "Remote - United States", "locations" : [ "Remote - United States" ], "timestamp" : "2026-06-16T02:20:26.371", "fingerprint" : "36c52db9ed6fa124bcd5c6475d5ffe91f6b0451af28b91b8ff26d8838870fc75", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/constructor/75d52991-d469-44dc-960b-6dad26f903b9/application", "externalId" : "75d52991-d469-44dc-960b-6dad26f903b9", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "ABOUT US Constructor is the next-generation platform for search and discovery in ecommerce, built to explicitly optimize for metrics like revenue, conversion rate, and profit. Our search engine is entirely invented in-house utilizing transformers and generative LLMs, and we use its core and personalization capabilities to power everything from search itself to recommendations to shopping agents. Engineering is by far our largest department, and we’ve built our proprietary engine to be the best on the market, having never lost an A/B test to a competitive technology. We’re passionate about maintaining this and work on the bleeding edge of AI to do so. Out of necessity, our engine is built for extreme scale and powers over 1 billion queries every day across 150 languages and roughly 100 countries. It is used by some of the biggest ecommerce companies in the world like Sephora, Under Armour, and Petco. We’re a passionate team who love solving problems and want to make our customers’ and coworkers’ lives better. We value empathy, openness, curiosity, continuous improvement, and are excited by metrics that matter. We believe that empowering everyone in a company to do what they do best can lead to great things. Constructor is a U.S. based company that has been in the market since 2019. It was founded by Eli Finkelshteyn and Dan McCormick who still lead the company today. ABOUT THE ROLE As we expand our personalization and messaging capabilities, we are looking for a foundational member of our growing team. The Offsite Recommendations Strategist owns the activation, performance, and revenue growth of our AI-powered email recommendations offering. This is a revenue-generating, client-facing role with incentive-based compensation. You will serve as a strategic partner to retail and e-commerce clients, helping them design, launch, and scale high-performing recommendation-driven email programs across promotional, triggered, and lifecycle messaging. From first deployment through long-term expansion, you will guide customers in using intelligent recommendations to drive measurable gains in engagement, conversion, and lifetime value. WHAT YOU’LL DO - Own onboarding and activation for offsite recommendations, partnering with Sales, Account Management, Customer Success, Solutions, and Marketing teams. - Guide clients through ESP integrations, feed setup, and recommendation placement in email templates. - Advise on high-impact email use cases including: - Promotional campaigns - Browse & cart abandonment - Post-purchase and replenishment - Lifecycle and retention programs - Serve as the subject-matter expert on email personalization and recommendations. - Analyze performance and provide data-driven recommendations to improve CTR, conversion, AOV, revenue per send, and LTV. - Own revenue growth across a portfolio of customers through upsell, expansion, and new use cases. - Act as the voice of the customer, influencing product roadmap and go-to-market strategy. REQUIREMENTS - 1-3 years of hands-on email or lifecycle marketing experience, ideally in e-commerce or retail. - 3-5+ years of client-facing experience in sales, account management, customer success, or account strategy - Strong understanding of: - ESPs and email ecosystems - Segmentation, personalization, and lifecycle strategy - Campaign vs. triggered messaging - Testing and performance measurement - Experience working with AI-driven personalization or recommendation systems. - Proven ability to translate data into insights and business impact. - Client-facing experience with a consultative, growth-oriented mindset. - Track record of driving or influencing revenue growth from existing customers. - Excellent communication skills and comfort working with both operators and executives. BENEFITS - \uD83C\uDFDD️ Unlimited vacation time -we strongly encourage all of our employees take at least 3 weeks per year - \uD83D\uDCB0 A competitive compensation package including stock options - \uD83C\uDF0E Fully remote team - choose where you live - \uD83D\uDECB️ Work from home stipend! We want you to have the resources you need to set up your home office - \uD83D\uDCBB Apple laptops provided for new employees - \uD83E\uDDD1‍\uD83C\uDF93 Training and development budget for every employee, refreshed each year - \uD83D\uDC6A Parental leave for qualified employees - \uD83E\uDDE0 Work with smart people who will help you grow and make a meaningful impact DIVERSITY, EQUITY, AND INCLUSION AT CONSTRUCTOR At Constructor.io http://Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group. Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don’t meet all of our listed qualifications.", "summaryDescription" : "Omnichannel Recommendations - GTM Specialist at Constructor", "createdAt" : "2026-06-14T20:11:11.615", "lastUpdated" : "2026-06-16T02:20:26.371", "ingestTimestamp" : "2026-06-14T20:11:11.615", "mongoId" : "6a2c692474d8ee00a0906355", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 165000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "_score" : 689.24774, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "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, "_score" : 680.5852, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.98 }, { "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, "_score" : 676.95416, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Real Estate", "llmIndustryConfidence" : 0.92 }, { "id" : "6a2cc34474d8ee00a0a08df6", "title" : "Founding PM - Reporting & Agentic Insights", "company" : "Owner", "industry" : "Engineering, Product, and Design", "salary" : { "min" : 190000.0, "max" : 230000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Remote - United States", "locations" : [ "Remote - United States", "Remote - Canada" ], "timestamp" : "2026-06-15T09:34:44.341", "fingerprint" : "693bc2e1026c65c3da6d8ec15611337f86c4a8618c1b260236cd10ffffee854b", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/owner/f8401e33-2c9f-449e-bd7b-6a44d4c2e6a3/application", "externalId" : "f8401e33-2c9f-449e-bd7b-6a44d4c2e6a3", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "technicalSkills" : "AI", "professionalSkills" : [ "Product strategy", "Roadmap development", "User story creation", "Cross-functional collaboration" ], "hardSkillsList" : [ "Data modeling" ], "hardSkills" : [ { "name" : "Data modeling", "level" : "intermediate" } ], "majorSkills" : "Reporting, Agentic insights, Product management", "majorSkillsList" : [ "Reporting", "Agentic insights", "Product management" ], "coreResponsibilities" : "Own understand half reporting, Own data models, Own builder experience, Own curated reports, Own drill-down behavior, Own mobile experience, Own migration path, Own anticipate half, Surface what's coming, Define data foundation, Scale reporting across business, Make reporting a reason, Be loudest voice, Pull signal from tickets, Turn signal into priorities", "teamCollaboration" : "Partner with GM; Partner with EM; Partner with AI team; Build analytical foundation; Work cross-functionally", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Restaurant operations; SMB software", "domainList" : [ "restaurant-operations", "smb-software" ], "domainSpecificKnowledge" : [ "Restaurant operations", "SMB software" ], "communicationSkills" : "Written communication; Verbal communication", "problemSolvingSkills" : "Root cause analysis", "outcomesObjectives" : "Make reporting best-in-class; Make reporting a stated reason", "qualificationsBasic" : "5+ years product management experience, Track record shipping software, Excellent product sense, Deep customer empathy, Data fluency, Proficiency handling ambiguity, Clear written communication, Clear verbal communication, Competence with technical complexity", "qualificationsPreferred" : "Preference for Eastern time zones, Preference for Central time zones", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Owner Owner is the AI-native system local business owners use to succeed, starting with restaurants. We’re building the system that replaces the many tools owners use to run their business. It powers everything from the restaurant’s website, online ordering, CRM, POS, and more. Product philosophy Most small business software makes owners do the work to get what they want: sales growth and profit growth. Owner does the work for them agentically. Our system drives demand, converts it, and helps operators run their business day to day. As it improves, the business improves with it. Using Owner should feel like having a team of great operators, engineers, and marketers working for you. Our vision We’re starting by helping independent restaurants succeed online. But it’s not just restaurants that need our help. Most local businesses are struggling with these same problems. Huge technology corporations are taking their customers, bleeding their profits, and making it hard for them to survive. Once we nail the solution for restaurants – we’ll scale it into every other local business type. In the future we envision, tens of millions of local business owners will use our technology to succeed in the digital age. Read our Series C memo here → https://www.owner.com/c Our traction Since 2020, we've generated tens of millions in revenue and processed over a billion dollars of online orders. 1 in 5 Americans have used an Owner.com http://Owner.com website. More importantly, we’ve helped over 20,000 restaurant owners, and saved them nearly $200 million in fees. Our team Our team is now in the low hundreds. We’ve got top talent from the most successful companies in SMB software, including: Shopify, HubSpot, DoorDash, ServiceTitan, Rappi, Faire and Stripe. We’ll be scaling even faster in 2026 to keep pace with our customer growth. Where we work Owner is a remote-first, global company headquartered in San Francisco, with a sales hub in Toronto. For a few of our roles we prioritize in-person collaboration at one of our office locations. Most of our teammates are distributed throughout the globe. Please review the role description and discuss with your recruiter for more details on location! Why we're looking for you Owner is the all-in-one platform for independent restaurants — online ordering, POS, kitchen tools, marketing, and the financial backbone that ties it all together. Reporting and analytics is one of our biggest product investments this year, and we're hiring a founding Product Manager to lead it. We think great reporting for a restaurant has two halves. The first is understand: historical performance the operator can pull up instantly, customize for the way they actually run their business, and trust enough to close the day on. The second is anticipate: what's coming based on what we know about their business and history, and the suggestions that help them hit their goals. We want Owner's reporting to be best-in-class on both halves — deep operator empathy, AI native, and built around how restaurants actually work. You'll own the product end-to-end, partnering closely with the GM of Payments, the Money & Risk EM, and a small senior engineering team, with deep collaboration with our AI team on the anticipation side. This role is fully remote and open to candidates anywhere in the US or Canada. Slight preference for Eastern or Central time zones. The impact you will have - Own the understand half of reporting end-to-end — data models, the builder experience, curated reports operators reach for daily, drill-down behavior, the mobile experience, and the migration path from where we are today. - Own the anticipate half in partnership with our AI team — surface what's coming for an operator based on their business and history, and the suggestions that help them hit their goals. - Define the data foundation that scales reporting across the full restaurant business (sales, menu, guests, payouts, labor, loyalty) so both halves of the product compound over time. - Make reporting a stated reason restaurants choose Owner — showing up in customer feedback, sales conversations, and renewals as a reason they stay. - Be the loudest voice for our customers on this product. Pull signal from support tickets, ride-alongs, churn conversations, and the active backlog — and turn it into the next set of priorities. Who you'll work with - Report directly to the GM of Payments. - Partner daily with the EM and engineering team on Money & Risk. - Work in deep partnership with our AI team on the anticipation side of reporting. - Build the analytical foundation alongside our incoming BI Analyst and Data Scientist. - Work cross-functionally with POS, Online Ordering, Loyalty, Labor, Finance, Support, Customer Success, and Sales as the product extends across the platform. What we’re looking for - 5+ years of product management experience - Ability to get things done: you have a track record of shipping software that made a difference for your customers - Excellent product sense: you have a good understanding of what makes for a high-quality product and are opinionated about what solutions will be successful - Deep customer empathy: you care about helping your customers and are skilled at performing research to uncover their true needs - Strong data fluency: you effectively gather and integrate quantitative and qualitative data to inform your decision-making and update your intuition - Proficiency handling ambiguity: you make sure your goals are clearly defined and display significant independence in achieving them - Clear written and verbal communication: you’re a force for clarity and alignment, ensuring everyone’s on the same page - Competence with technical complexity: you can understand the high-level architecture of a product and its implications for the customer experience, and you’re comfortable talking with engineers about project scope and tradeoffs Pay and benefits - The estimated starting base salary range for this role is $190-230K, plus a generous pre-IPO equity package - Other benefits include comprehensive health coverage, remote-first workplace, unlimited PTO - plus extra fun perks! Notice - Employment Scams Communication from our team regarding job opportunities will only be made by an Owner team member with an @owner.com email address. We do not conduct interviews over email or chat platforms, and we will never ask you to provide personal or financial information such as your mailing address, social security number, credit card numbers or banking information. If you believe you are being contacted by a scammer, please mark the communication as \"phishing\" or “spam” and do not respond.", "summaryDescription" : "Founding PM - Reporting & Agentic Insights at Owner. Skills: Reporting, Agentic insights, Product management. Own understand half reporting. Own data models", "createdAt" : "2026-06-14T09:19:59.167", "lastUpdated" : "2026-06-15T09:34:44.341", "ingestTimestamp" : "2026-06-14T09:19:59.167", "mongoId" : "6a2cc34474d8ee00a0a08df6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 190000, "salaryAnnualMax" : 230000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data modeling", "Reporting", "Agentic insights", "Product management", "Product strategy", "Roadmap development", "User story creation", "Cross-functional collaboration", "Roadmap planning", "Restaurant operations", "SMB software" ], "skillCount" : 11, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Lead", "dataQualityScore" : 0.7777778, "_score" : 673.82886, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "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, "_score" : 670.4649, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.98 }, { "id" : "69ce5e3b9bc74574cb6779db", "title" : "Assistant Manager - CX Performance & Platforms", "company" : "Mercedes-Benz Singapore", "industry" : "Retail", "salary" : { "min" : 85000.0, "max" : 130000.0, "currency" : "SGD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-seniority Assistant Manager in the Automotive industry in Singapore, adjusted for company size and specific role responsibilities." }, "location" : "Singapore-Singapore-Singapore", "locations" : [ "Singapore-Singapore-Singapore", "1 Gateway Drive, 15-01 Westgate Tower, , Singapore" ], "timestamp" : "2026-06-15T22:33:10.037", "fingerprint" : "447a39088618c9b317cd2b59f57e5de87c72c55e3db059cab9b9eef581e9407b", "source" : "taleo", "language" : "en", "applyUrl" : "https://daimler.taleo.net/careersection/ex/jobdetail.ftl?job=889965", "externalId" : "889965", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Singapore", "country" : "Singapore", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "1.2899175,103.8519072" } ], "locationText" : "Singapore, Singapore", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Manager", "technicalSkills" : "Google Analytics, CRM systems, Power BI, Tableau", "professionalSkills" : [ "Business intelligence", "Performance metrics" ], "hardSkillsList" : [ "Data analysis", "Funnel analysis", "Customer journey analysis" ], "softSkillsList" : [ "Analytical thinking", "Structured thinking" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Funnel analysis", "level" : "intermediate" }, { "name" : "Customer journey analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Analytical thinking" }, { "name" : "Structured thinking" } ], "majorSkills" : "Customer journey performance, Data insights, Digital platforms", "majorSkillsList" : [ "Customer journey performance", "Data insights", "Digital platforms" ], "coreResponsibilities" : "Build clear view of customer journey performance, Connect dots across campaigns, platforms, and touchpoints, Understand what is driving results, Translate data into insights, Help team make better, faster decisions, Work closely with Brand, Communications, and CX teams, Identify opportunities to improve performance, Ensure digital platforms and touchpoints are aligned, Support rollout of digital tools and enhancements, Ensure tools deliver real impact", "teamCollaboration" : "Across different teams; Across different perspectives; Brand teams; Communications teams; CX teams", "domainKnowledge" : "Customer journey; Digital platforms; Brand strategy; Customer experience", "domainList" : [ "customer-journey", "digital-platforms", "brand-strategy", "customer-experience" ], "domainSpecificKnowledge" : [ "Customer journey", "Digital platforms", "Brand strategy", "Customer experience" ], "toolProficiency" : [ "Google Analytics", "CRM systems", "Power BI", "Tableau" ], "communicationSkills" : "Communicate insights clearly; Simplify complex ideas; Influence decisions", "problemSolvingSkills" : "Breaking down problems; Making sense of data", "outcomesObjectives" : "Improve performance; Deliver real impact", "qualificationsBasic" : "2-5 years of experience in marketing, analytics, digital platforms, business intelligence, or related fields, Experience working with data and performance metrics, Experience working across teams or functions", "qualificationsPreferred" : "Familiarity with Google Analytics (GA4), CRM systems, or dashboarding tools (e.g. Power BI, Tableau) is advantageous", "remoteFriendly" : false, "rawDescription" : "Assistant Manager, CX Performance & Platforms Mercedes-Benz Singapore At Mercedes-Benz, we don’t just create campaigns — we create experiences that move people. As we continue to evolve our Customer Excitement (CX) approach, we are looking for someone to help us answer a simple but important question: Is everything we do actually working — together? This role sits at the intersection of Brand, Communications, and Customer Experience. It is designed for someone who is naturally curious, analytical, and comfortable connecting the dots across different parts of the business. You will not just be looking at data — you will be helping shape decisions. What you will do Build a clear view of how our customer journey is performing end-to-end — from awareness to lead, to test drive, to conversion Connect the dots across campaigns, platforms, and customer touchpoints to understand what is driving results Translate data into insights that help the team make better, faster decisions Work closely with Brand, Communications, and CX teams to identify opportunities to improve performance Ensure our digital platforms and touchpoints are aligned, updated, and ready to support customer-led journeys Support the rollout of digital tools and enhancements, ensuring they are adopted and deliver real impact What makes this role different This is not a traditional marketing, digital, or analytics role. You will be working across all three — acting as the integration layer that connects ideas to outcomes. You will have visibility across the entire customer funnel and the opportunity to influence how we design, measure, and improve our experiences. If you enjoy understanding not just what is happening, but why — and what to do next — you will find this role meaningful. What we’re looking for A structured thinker who enjoys breaking down problems and making sense of data Someone who is curious and asks the right questions, not just follows instructions Comfortable working across different teams and perspectives Able to communicate insights clearly and influence decisions Experience in marketing, analytics, digital platforms, or business intelligence is advantageous Why join us At Mercedes-Benz Singapore, you will be part of a team that is constantly rethinking how we engage our customers — not just through products, but through experiences. This role offers broad exposure across the business and the opportunity to work closely with leadership to shape how we measure and drive performance. If you are someone who enjoys connecting the dots, challenging assumptions, and turning insights into action — we would love to hear from you. Qualifications & Experience 2–5 years of experience in marketing, analytics, digital platforms, business intelligence, or related fields Experience working with data and performance metrics (e.g. campaign performance, customer journeys, funnel analysis) Familiarity with tools such as Google Analytics (GA4), CRM systems, or dashboarding tools (e.g. Power BI, Tableau) is advantageous Experience working across teams or functions is a plus What we value Strong analytical thinking with the ability to translate data into clear, actionable insights A structured and curious mindset — someone who enjoys understanding how things work and how they can be improved Good communication skills, with the ability to simplify complex ideas and influence stakeholders Comfortable navigating ambiguity and working across different perspectives A sense of ownership and accountability in seeing things through Mercedes-Benz Singapore Pte. Ltd.", "summaryDescription" : "Assistant Manager - CX Performance & Platforms at Mercedes-Benz Singapore. Skills: Customer journey performance, Data insights, Digital platforms. Build clear view of customer journey performance. Connect dots across campaigns, platforms, and touchpoints", "createdAt" : "2026-06-14T20:46:47.585", "lastUpdated" : "2026-06-15T22:33:10.037", "ingestTimestamp" : "2026-06-14T20:46:47.585", "mongoId" : "69ce5e3b9bc74574cb6779db", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Funnel analysis", "Customer journey analysis", "Analytical thinking", "Structured thinking", "Customer journey performance", "Data insights", "Digital platforms", "Business intelligence", "Performance metrics", "Customer journey", "Brand strategy", "Customer experience", "Google Analytics", "CRM systems", "Power BI", "Tableau" ], "skillCount" : 17, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 667.93774, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.92 }, { "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, "_score" : 666.4567, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Music Streaming" }, { "id" : "6a2cb20874d8ee00a09defa9", "title" : "Category and Insights Manager", "industry" : "Others", "location" : "US", "locations" : [ "US" ], "timestamp" : "2026-06-16T04:29:14.180", "fingerprint" : "3df6ed4535f73e13ab81e26217974a6585f61c3ce18634ad738c9edc5c5f4443", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/3a46e28a-e26c-458a-a24e-74eb1be5ef79/apply", "externalId" : "3a46e28a-e26c-458a-a24e-74eb1be5ef79", "industryFunction" : { }, "structuredLocations" : [ { "continent" : "na", "workMode" : "remote" } ], "locationText" : "", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Nielsen, IRI, SPINS, Tableau, Power BI", "professionalSkills" : [ "Category management", "Business analytics", "Consumer insights", "Data analysis", "Strategic recommendations", "Commercial narratives", "Brand positioning", "Shopper insights", "Retail growth", "Data visualization" ], "hardSkillsList" : [ "Syndicated data analysis", "Consumer data analysis", "Sales analysis", "Pricing analysis", "Distribution analysis", "Merchandising analysis", "Quantitative research", "Qualitative research", "Reporting" ], "hardSkills" : [ { "name" : "Syndicated data analysis", "level" : "intermediate" }, { "name" : "Consumer data analysis", "level" : "intermediate" }, { "name" : "Sales analysis", "level" : "intermediate" }, { "name" : "Pricing analysis", "level" : "intermediate" }, { "name" : "Distribution analysis", "level" : "intermediate" }, { "name" : "Merchandising analysis", "level" : "intermediate" }, { "name" : "Quantitative research", "level" : "intermediate" }, { "name" : "Qualitative research", "level" : "intermediate" }, { "name" : "Reporting", "level" : "intermediate" } ], "majorSkills" : "Category performance analysis, Shopper insights development, Syndicated data management, Consumer behavior analysis", "majorSkillsList" : [ "Category performance analysis", "Shopper insights development", "Syndicated data management", "Consumer behavior analysis" ], "coreResponsibilities" : "Own category performance analysis, Develop shopper insights, Transform data into recommendations, Drive retail growth, Drive brand positioning, Manage syndicated data sources, Track category performance, Track brand performance, Track competitor performance, Analyze sales trends, Analyze pricing trends, Analyze distribution trends, Analyze merchandising trends, Identify growth drivers, Identify risks, Identify whitespace opportunities, Develop category stories, Develop customer-facing presentations, Support retail engagement, Support sell-in strategies, Conduct consumer research, Conduct shopper research, Understand behavior, Understand motivations, Understand consumption occasions, Build dashboards, Build scorecards, Build reporting tools, Translate performance data, Provide data-backed recommendations, Support innovation, Support brand strategy", "teamCollaboration" : "Partner with Sales; Collaborate cross-functionally; Align insights with objectives", "domainKnowledge" : "Consumer goods environment; Retail dynamics; Category strategy; Shopper marketing principles; CPG industry; Food & beverage industry; Grocery retail; Mass retail; Natural retail; Specialty retail; Evolving lifestyle trends; Entertaining trends", "domainList" : [ "consumer-goods-environment", "retail-dynamics", "category-strategy", "shopper-marketing-principles", "cpg-industry", "food-beverage-industry", "grocery-retail", "mass-retail", "natural-retail", "specialty-retail", "evolving-lifestyle-trends", "entertaining-trends" ], "domainSpecificKnowledge" : [ "Consumer goods environment", "Retail dynamics", "Category strategy", "Shopper marketing principles", "CPG industry", "Food & beverage industry", "Grocery retail", "Mass retail", "Natural retail", "Specialty retail", "Evolving lifestyle trends", "Entertaining trends" ], "toolProficiency" : [ "Nielsen", "IRI", "SPINS", "Excel", "PowerPoint" ], "communicationSkills" : "Customer presentations; Influencing stakeholders; Influencing retail partners", "continuousLearning" : "Professional growth opportunities; Development opportunities", "innovationCreativity" : "Innovation support; Brand development projects", "problemSolvingSkills" : "Analytical capabilities; Simplify complex data", "specialRequirements" : "Travel opportunities United States", "qualificationsBasic" : "5+ years experience in category management, 5+ years experience in business analytics, 5+ years experience in consumer insights, Experience working with grocery retail channels, Experience working with mass retail channels, Experience working with natural retail channels, Experience working with specialty retail channels, Proficiency with syndicated data platforms, Excel skills, PowerPoint skills, Deep understanding of retail dynamics, Deep understanding of category strategy, Deep understanding of shopper marketing principles, Analytical abilities, Storytelling abilities, Excellent presentation skills, Excellent communication skills", "qualificationsPreferred" : "CPG industry experience preferred, Food & beverage industry experience preferred, Exposure to BI tools preferred, Experience influencing external retail partners preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities You will own category performance analysis and shopper insights development, transforming syndicated and consumer data into strategic recommendations that drive retail growth and brand positioning. Own and manage syndicated data sources to track category, brand, and competitor performance across key retail channels. Analyze sales, pricing, distribution, and merchandising trends to identify growth drivers, risks, and whitespace opportunities. Develop category stories and customer-facing presentations in partnership with Sales to support retail engagement and sell-in strategies. Conduct consumer and shopper insights research, both quantitative and qualitative, to understand behavior, motivations, and consumption occasions. Build dashboards, scorecards, and recurring reporting tools that translate performance data into actionable business insights. Support innovation and brand strategy by providing data-backed recommendations for new product development and category positioning. Collaborate cross-functionally with Sales, Marketing, Innovation, and Finance to align insights with broader business objectives. Requirements This role requires strong analytical capabilities, category management expertise, and the ability to translate data into compelling commercial narratives within a fast-paced consumer goods environment. 5+ years of experience in category management, business analytics, or consumer insights, preferably within CPG or food & beverage industries. Experience working with grocery, mass, natural, and/or specialty retail channels. Proficiency with syndicated data platforms such as Nielsen, IRI, SPINS, or similar shopper and retail data tools. Strong Excel and PowerPoint skills, with exposure to BI tools such as Tableau or Power BI considered a plus. Deep understanding of retail dynamics, category strategy, and shopper marketing principles. Strong analytical and storytelling abilities, with the capacity to simplify complex data into clear insights. Excellent presentation and communication skills, with experience influencing both internal stakeholders and external retail partners. Passion for food, consumer behavior, and evolving lifestyle and entertaining trends. Benefits Competitive compensation package (based on experience and location) Health, dental, and vision insurance Paid time off and company holidays Opportunities for professional growth and development Exposure to high-impact, cross-functional strategic initiatives Collaborative and fast-paced work environment Involvement in innovation and brand development projects Travel opportunities across the United States ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Category and Insights Manager. Skills: Category performance analysis, Shopper insights development, Syndicated data management, Consumer behavior analysis. Own category performance analysis. Develop shopper insights", "postedDate" : "2026-06-12T11:01:40.466", "createdAt" : "2026-06-12T11:01:40.466", "lastUpdated" : "2026-06-16T04:29:14.180", "ingestTimestamp" : "2026-06-14T21:11:29.303", "mongoId" : "6a2cb20874d8ee00a09defa9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "Syndicated data analysis", "Consumer data analysis", "Sales analysis", "Pricing analysis", "Distribution analysis", "Merchandising analysis", "Quantitative research", "Qualitative research", "Reporting", "Category performance analysis", "Shopper insights development", "Syndicated data management", "Consumer behavior analysis", "Category management", "Business analytics", "Consumer insights", "Data analysis", "Strategic recommendations", "Commercial narratives", "Brand positioning", "Shopper insights", "Retail growth", "Data visualization", "Consumer goods environment", "Retail dynamics", "Category strategy", "Shopper marketing principles", "CPG industry", "Food & beverage industry", "Grocery retail", "Mass retail", "Natural retail", "Specialty retail", "Evolving lifestyle trends", "Entertaining trends", "Nielsen", "IRI", "SPINS", "Excel", "PowerPoint" ], "skillCount" : 40, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 665.74854, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Food & Beverage", "llmIndustryConfidence" : 0.95 }, { "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, "_score" : 658.295, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Advertising" }, { "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, "_score" : 646.2036, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Communications" }, { "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. 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It’s high volume crime that’s increasingly organised in nature and is putting people, retailers, and communities at risk every day. Founded in New Zealand 12 years ago, we’re working with some of the best and largest retailers in the world across the US, Canada, Australia, New Zealand, and the UK. Auror is connecting people and intelligence to reduce crime. We’re using technology for good. Our mission is clear: reduce violent retail crime by 50% in 5 years. It's an ambitious goal - and one we believe is achievable. In partnership with our leading retail partners, we need people with the passion, determination, and innovation required to overcome one of the world's largest problems. If you’re looking to make a difference with and for the people dedicated to stopping crime, for good, then we want you on our team. We're also embracing the potential of AI to supercharge our impact - whether that's enhancing the way we detect trends, support our customers, or improve internal workflows. As a company, we're committed to responsibly incorporating AI into how we work and what we build, and we encourage all Aurors to be curious about how AI can elevate their work, regardless of role or function. THE ROLE As a Senior Product Manager, you will be responsible for driving the product's growth, strategy, and execution. This includes developing solutions that transform data into meaningful insights while exploring opportunities to safely and responsibly leverage AI, to ensure we continue to deliver customer outcomes through the Auror product that our customers love. We’re looking for someone who aligns with our philosophy on how to build great products. That is, teams should have a strong understanding of who uses their product, how they use it, and how they feel about it. We believe PMs should be embedded with design and engineering teams, collaborating with cross-functional team members to make sure their product solves the problems they set out to. RESPONSIBILITIES Practically, this role will involve: - Customer Focus: Engage with customers and key partners to deeply understand the problem space, pain points, and opportunities for actionable insights. Champion the customer voice throughout the product lifecycle. - Product Strategy: Collaborate with key stakeholders to align product strategy with our customer needs, company goals, and objectives. Define and own the vision and roadmap for your product streams. - Product delivery: Play a key role in ensuring we ship high-quality products, at a high cadence, that consistently deliver on customer outcomes, partnering with engineering, design, data, and commercial teams to ensure smooth execution, balancing technical feasibility with delivering customer and business value. Drive go to market activities to ensure adoption of your product in partnership with product marketing and other stakeholders. - Commercial and Strategic Leadership: Lead strategic decisions to ensure product-market fit, scalability, value delivery and ROI. Understand the commercial impact of your product stream on customers and the business. Observe and respond to changes in the competitive landscape. - Innovation: Stay abreast of industry trends and emerging technologies, and drive innovation to ensure our products remain cutting-edge and competitive. - Leverage Data and AI Thoughtfully: Identify opportunities to integrate AI and advanced analytics into the platform in a sensible, safe, and impactful way. Collaborate cross-functionally to drive ethical AI practices. - Measure and Communicate Success: Define and track key product metrics. Communicate progress, outcomes, and learnings to stakeholders and the wider business. - Mentorship and coaching: Finding moments and opportunities to level up the team through coaching, and mentoring. THIS ROLE REPORTS TO CHARDI TAYLOR, DIRECTOR OF PRODUCT MANAGEMENT. [https://app.ashbyhq.com/api/images/user-content/d96e780d-bbaf-408e-bbdf-f094db92ab99/f32175f2-a2d0-4517-98db-a07c44fb988d/image.png] I’m originally from South Africa, and five years ago, my family and I made the big move to New Zealand – a place we now call home. My career has been focused on product leadership, working across product strategy, development, and coaching teams to deliver real value to customers. I thrive when collaborating with smart, motivated people, tackling complex problems, and building solutions that make a tangible impact in the community. When I’m not deep in product discussions or at a Product Aotearoa community event, you’ll find me outdoors with my family, exploring New Zealand’s incredible scenery, or running around after my daughter (who keeps me on my toes!). I also enjoy playing games – whether it’s board games, video games, or anything that brings a bit of friendly competition. REQUIREMENTS - A proven track record delivering world-class B2B SaaS products to market. - A strong \"customer-centric\" mindset in designing roadmaps and building products that meet our customers' current and future needs. - Not only able to shape a high-level strategic initiative but can also roll up your sleeves to get the job done. - Experience innovating with new technologies (including AI & machine learning) - Experienced using data to drive areas of improvement and product strategy. - Strong strategic thinker with a proven track record of contributing to and driving product strategy. - Demonstrate strong commercial acumen with the ability to drive the financial side of a product. - Coach/mentor other product managers either inside or outside your organisation. - Strong executor with a proven track record of shipping products fast to a high quality. - Excellent communication skills, both verbal and written. Thoughtful, high empathy and social intelligence, with the ability to deliver all types of information and context to different people in ways that resonate. - A proactive self-starter, organised, focused, and with a strong bias for action and forward momentum. Nice to have - Experience working on products with a global scale (and teams in multiple regions and timezones) - Experience building product features that turn data into actionable insights, which may include embedding analytics tools (such as PowerBI, Tableau, or Looker), using LLMs to generate summaries, or providing context-aware information and recommendations. - An understanding of machine learning techniques and their capabilities, such as traditional models (logistic regression, boosted decision trees), large language models (LLMs such as ChatGPT), and image models (such as CNNs). - Working with partner service providers to understand the mechanics of their services that results in strong value for customers. We are looking for people who demonstrate a strong alignment to our Guiding Principles (you can find these on our Careers page https://www.auror.co/company-careers). With diversity and inclusion at the forefront of Auror’s guiding principles, we promote a culture that celebrates diversity and inclusiveness at Auror, regardless of, but not limited to, race, gender, sexual orientation, family status, religion, ethnicity, national origin, physical disability, veteran status, or age. BENEFITS: - Competitive salary range: Depending on level of experience, between $145,000 - $170,000 (IC4). - Employee share scheme: You’ll own part of a company making a real difference! - Flexibility: We are hard-working and outcome focused, but recognise there is more to life than work. We promote a healthy work/life blend. - Shorter work weeks (at full pay): Everyone gets Friday afternoons off, so you can start your weekend early, and do more of whatever it is that makes you happy. - Health insurance: We prioritise looking after your health by covering 100% of your individual health insurance plan with nib. - Focus on mental and physical health: We understand how vital our health is and have policies to support your wellness, including Wellness Days, and up to $750 for expert sessions every year. - Family-friendly: We offer comprehensive paid parental leave - 12 weeks for birth parents and 6 weeks for non-birth parents following birth, adoption, or surrogacy, available to all Aurors from day one. - Personal growth: We support our team to participate in courses, conferences, or events that will help them develop their skills. - Team love: We have regular team lunches and social events where most (if not all) activities are during work hours. WHAT ARE THE NEXT STEPS? If you’re excited about our mission and you have the experience and a passion for this role, please hit “Apply”. If you’re not sure that you tick all the boxes but feel you’re close to what we’re looking for, please apply anyway! We’re proud that Auror is a place where everyone can learn and grow so we’d love to hear from you. You'll be asked to submit a cover letter as part of your application. While this is optional we do encourage it, as we find cover letters can tell a story that resumes alone often cannot. Our hiring team love to understand what attracted you to this role and why you are excited about the opportunity to join Auror. Once you apply, you’ll hear from us to acknowledge your application. If you have questions about any of the above, or if you have any accessibility requirements, we’ll be able to help you from there.", "summaryDescription" : "Senior Product Manager at Auror. Skills: Product strategy, Product delivery, Customer insights. Drive product growth. Drive product strategy", "createdAt" : "2026-06-14T02:15:23.248", "lastUpdated" : "2026-06-15T06:49:57.711", "ingestTimestamp" : "2026-06-14T02:15:23.248", "mongoId" : "6a2ca0ce74d8ee00a09a3561", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Product roadmap", "User stories", "Mentoring", "Coaching", "Product strategy", "Product delivery", "Customer insights", "Commercial leadership", "Strategic leadership", "Roadmap planning", "Retail industry", "Organised Retail Crime", "AI ethics" ], "skillCount" : 13, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 627.5498, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2caaaf74d8ee00a09ca053", "title" : "COMMERCIAL INSIGHTS ANALYST", "company" : "Ampol", "industry" : "Oil And Energy", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "AUD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Commercial Insights Analyst in Alexandria, Australia, adjusted for the Energy industry and company size." }, "location" : "Alexandria, New South Wales, Australia", "locations" : [ "Alexandria", "New South Wales", "Australia" ], "timestamp" : "2026-06-15T12:45:59.789", "fingerprint" : "72ff3046c64e4d49ae8c712696711c96a937833e12ac940be69cd1a90ab7bedd", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Ampol/6000000001150760-commercial-insights-analyst", "externalId" : "6000000001150760", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Alexandria", "state" : "New South Wales", "country" : "Australia", "continent" : "oc", "source" : "llm", "workMode" : "hybrid", "geo" : "-33.9091568,151.1921281" } ], "locationText" : "Alexandria, New South Wales, Australia", "employmentType" : "FULL_TIME", "experienceLevel" : "not-applicable", "technicalSkills" : "Python, SQL, DAX, Power BI", "professionalSkills" : [ "Commercial analysis", "Financial modeling", "Data pipelines", "Reporting", "Stakeholder engagement" ], "hardSkillsList" : [ "Financial modeling", "Data analysis", "Profitability drivers", "Value tree analysis", "EBIT data validation" ], "hardSkills" : [ { "name" : "Financial modeling", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Profitability drivers", "level" : "intermediate" }, { "name" : "Value tree analysis", "level" : "intermediate" }, { "name" : "EBIT data validation", "level" : "intermediate" } ], "majorSkills" : "Commercial insights, Financial modeling, Data analysis, Reporting", "majorSkillsList" : [ "Commercial insights", "Financial modeling", "Data analysis", "Reporting" ], "coreResponsibilities" : "Analyze financial and commercial datasets, Deliver actionable insights and recommendations, Validate and investigate enterprise integrated value and EBIT, Design and develop P&L and EBIT faceplates, Build value-tree profitability drivers, Develop, enhance and maintain financial models, Develop, enhance and maintain data cubes, Develop, enhance and maintain Power BI reports, Support monthly reporting cycles, Update dashboards for F&I Commercial teams, Present insights to senior stakeholders, Support strategic decision-making, Deliver ad-hoc analysis and reports, Document processes and reporting standards", "teamCollaboration" : "Work cross-functionally; Present to senior stakeholders", "domainKnowledge" : "Energy sector; Fuel supply; Energy solutions; Convenience retail; Infrastructure; Trading; Shipping; Financial reporting", "domainList" : [ "energy-sector", "fuel-supply", "energy-solutions", "convenience-retail", "infrastructure", "trading", "shipping", "financial-reporting" ], "domainSpecificKnowledge" : [ "Energy sector", "Fuel supply", "Energy solutions", "Convenience retail", "Infrastructure", "Trading", "Shipping", "Financial reporting" ], "toolProficiency" : [ "Excel", "SQL", "DAX", "Power BI", "SAP", "Confluence" ], "communicationSkills" : "Present insights; Compelling narratives", "documentationSkills" : "Document processes; Reporting standards", "continuousLearning" : "LinkedIn Learning; Tailored training solutions", "problemSolvingSkills" : "Analytical skills; Problem-solving skills; Synthesise data sources", "outcomesObjectives" : "Drive decisions across Supply, Trading and Commercial; Influence performance and growth", "qualificationsBasic" : "Minimum 5 years’ experience, Tertiary qualifications in Finance, Accounting, Marketing, Engineering or equivalent experience, Advanced skills in Excel, SQL, DAX, and Power BI, Experience with SAP, Python experience essential", "qualificationsPreferred" : "Financial reporting environments experience", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "At Ampol, we believe in the Power of Us - the extraordinary power of people to connect, act, and make a difference. As a leading energy company operating across Australia, New Zealand, Singapore and from the United States, our work spans fuel supply, energy solutions, convenience retail, infrastructure, trading and shipping. Every role at Ampol plays a part in something bigger - powering progress for our customers, communities, and people. Your career here is yours to shape. We back our people with real opportunities, the tools to grow, and a culture that rewards ownership and initiative. Whether you’re deepening your expertise or taking on something new, we’ll support you to power a career that works for you. We’re building a workplace where everyone feels welcome, respected, and valued - because when people are free to be themselves, powerful things happen. About the role The Commercial Insights Analyst sits at the intersection of data, operations and strategy—turning complex financial and commercial inputs into clear, actionable insights that drive decisions across Supply, Trading and Commercial. This is a hands-on role for someone who can dive into the detail while keeping a clear view of the bigger picture: building and refining integrated models, developing robust data pipelines (leveraging Python for automation, analysis and scalability), and delivering sharp visualisations and reporting that cut through noise. You’ll work cross-functionally to answer critical business questions, translating data into clear, compelling narratives that influence performance and growth—combining strong technical execution with the commercial judgement to focus on what matters. This is a permanent, full-time role based in our Alexandria headquarters with a hybrid working arrangement. Key responsibilities * Analyse financial and commercial datasets to deliver actionable insights and recommendations * Validate and investigate enterprise integrated value and EBIT data for accuracy and integrity * Design and develop P&L and EBIT faceplates aligned to organisational structures * Build value-tree profitability drivers across multiple business lenses * Develop, enhance and maintain financial models, data cubes and Power BI reports * Support monthly reporting cycles and dashboard updates for F&I Commercial teams * Present insights to senior stakeholders to support strategic decision-making * Deliver ad-hoc analysis and reports to tight deadlines * Document processes and reporting standards in Confluence Qualifications & Experience * Minimum 5 years’ experience in commercial analysis or finance-related roles * Tertiary qualifications in Finance, Accounting, Marketing, Engineering or equivalent experience * Advanced skills in Excel, SQL, DAX, and Power BI, with proven hands-on experience * Strong experience with SAP and financial reporting environments * Ability to synthesise multiple data sources into clear business insights * Excellent analytical, problem-solving and stakeholder engagement skills * Experience working cross-functionally in fast-paced, complex environments * Python experience essential Benefits * Our total remuneration is competitive. This is across base salary, car allowance, a company performance incentive, employee share offers and a 25% discount on Fuel for two privately used cars! * We are flexible. Many of our teams have embraced hybrid work, balancing time spent remote working, with time spent at an office to connect and work together where it adds value. * Remote Working: Support for up to 3 months remote international working (conditional to 5 days paid leave for every 30 days of remote work). * We value recognition. We have an internal recognition platform amplifying the achievements of those who do great work and demonstrate our capabilities and values. * Career development and learning opportunities including LinkedIn Learning and other tailored training solutions. * Baby Care Package - financial and flexible support for parents transitioning back to work. * Need some wheels? Novated Lease options are available. * Invest in your future with the Employee Share Scheme * Leave Options – Flexible leave options include generous annual leave, optional additional purchased leave and wellbeing days throughout the year. * Care for your Community. Spend one paid day a year volunteering with one of our Ampol Foundation partners. Want to take your career to the next level? Apply today. ## Additional Information By clicking apply, you confirm you have read and agree to our [Ampol Recruitment Privacy Collection Statement](https://c.smartrecruiters.com/sr-company-attachments-prod-aws-dc9/68397163321cc03b6a5d240c/e4090605-2b96-49c6-9240-9213d28366f2?r=s3-ap-southeast-2). We’re an equal opportunity workplace. We not only embrace diversity and inclusion; we celebrate what makes you unique. We welcome applications from people of all ages, cultural backgrounds, and diverse sexualities and genders (including if you identify as transgender). We also highly encourage Aboriginal and Torres Strait Islander peoples to apply for roles with Ampol.", "summaryDescription" : "COMMERCIAL INSIGHTS ANALYST at Ampol. Skills: Commercial insights, Financial modeling, Data analysis, Reporting. Analyze financial and commercial datasets. Deliver actionable insights and recommendations", "postedDate" : "2026-06-12T05:02:17.000", "createdAt" : "2026-06-14T07:21:47.370", "lastUpdated" : "2026-06-15T12:45:59.789", "ingestTimestamp" : "2026-06-14T07:21:47.370", "mongoId" : "6a2caaaf74d8ee00a09ca053", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Financial modeling", "Data analysis", "Profitability drivers", "Value tree analysis", "EBIT data validation", "Commercial insights", "Reporting", "Commercial analysis", "Data pipelines", "Stakeholder engagement", "Energy sector", "Fuel supply", "Energy solutions", "Convenience retail", "Infrastructure", "Trading", "Shipping", "Financial reporting", "Excel", "SQL", "DAX", "Power BI", "SAP", "Confluence" ], "skillCount" : 24, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 624.511, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Energy", "llmIndustryConfidence" : 0.95 }, { "id" : "6a308724f292fd229c0863dc", "title" : "Client Insights Analyst", "company" : "iSeatz", "industry" : "Hospitality", "salary" : { "min" : 77000.0, "max" : 90000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Full-Time Remote (USA)", "locations" : [ "Full-Time Remote (USA)" ], "timestamp" : "2026-06-16T08:42:22.280", "fingerprint" : "f317d1e65bb832dae5c06cb159309f39a2a004a649b31eccca994e5c649fe038", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/iseatz/jobs/5255722008", "externalId" : "5255722008", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL", "professionalSkills" : [ "Client-facing analytics", "Client-facing reporting", "Product analytics", "Conversion analysis", "Digital web analytics" ], "hardSkillsList" : [ "Data validation", "Trend identification", "Result interpretation" ], "hardSkills" : [ { "name" : "Data validation", "level" : "intermediate" }, { "name" : "Trend identification", "level" : "intermediate" }, { "name" : "Result interpretation", "level" : "intermediate" } ], "majorSkills" : "Client Insights, Data Analysis", "majorSkillsList" : [ "Client Insights", "Data Analysis" ], "coreResponsibilities" : "Identify trends, Interpret results, Troubleshoot inconsistencies, Communicate findings", "teamCollaboration" : "Collaboration; Customer focus", "domainKnowledge" : "Travel bookings; Lifestyle bookings; Digital commerce; Travel technology; Loyalty tech", "domainList" : [ "travel-bookings", "lifestyle-bookings", "digital-commerce", "travel-technology", "loyalty-tech" ], "domainSpecificKnowledge" : [ "Travel bookings", "Lifestyle bookings", "Digital commerce", "Travel technology", "Loyalty tech" ], "toolProficiency" : [ "Tableau" ], "communicationSkills" : "Written communication; Verbal communication", "continuousLearning" : "Professional development allowance", "problemSolvingSkills" : "Problem-solving", "qualificationsBasic" : "5+ years experience, SQL proficiency, Analytical skills, Problem-solving skills, Data validation skills", "qualificationsPreferred" : "Experience with Snowflake or similar cloud data platforms, Experience in travel, eCommerce, marketplaces, loyalty, or digital consumer products, Experience supporting client-facing analytics, reporting, or product teams, Exposure to product analytics, conversion analysis, or digital web analytics, Familiarity with data governance concepts, Familiarity with data privacy and security best practices, Tableau experience preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Our Mission iSeatz drives enduring brand loyalty through exceptional, connected experiences. Our digital commerce and technology solutions enable travel and lifestyle bookings for the world’s leading brands in financial services, travel, and hospitality, including American Express, IHG Hotels Tableau experience preferred Strong analytical, problem-solving, and data validation skills, with the ability to identify trends, interpret results, troubleshoot inconsistencies, and communicate findings Strong organizational, written, and verbal communication skills Awareness of responsible data handling practices Alignment with iSeatz core values, including collaboration, accountability, curiosity, and customer focus Bonus Points Experience working with Snowflake or similar cloud data platforms Experience in travel, eCommerce, marketplaces, loyalty, or digital consumer products Experience supporting client-facing analytics, reporting, or product teams Exposure to product analytics, conversion analysis, or digital web analytics Familiarity with data governance concepts and data privacy and security best practices Pay Range for this Position: $77,000—$90,000 USD Location This role is remote and can be located anywhere inside the continental United States. iSeatz is a New Orleans-based company with Central Time Zone business hours, but feel free to work from your home office, from the beach, or from the cottage you rented for the summer! What We Bring To The Table iSeatz has been honored as an Inc. Magazine Best Workplace for the past two years — recognition based on our commitment to transparency, trust, and open communication, as well as our efforts to foster growth for our team members beyond their current roles and responsibilities. We trust our team members to use their expertise and creativity to deliver high-quality results — without micromanagement — and support them in building careers that are as dynamic and multifaceted as the work we do. We believe there's no one-size-fits-all approach to engagement or collaboration. That’s why we strive to provide the tools, autonomy, and support employees need to succeed — while delivering exceptional products and services to our customers. We recognize that great work deserves meaningful support. At iSeatz, we provide competitive compensation and a comprehensive suite of benefits to match. Our team members enjoy robust health insurance, a 401(k) plan with company matching, generous paid time off, and up to eight weeks of paid parental leave for eligible caregivers. We’re a remote-first company that values flexibility and autonomy, and we invest in continuous learning with an annual professional development allowance. Whether you're growing your skills, your family, or your impact — we’re here to support what’s next. We Value A Diverse Workplace We are committed to building and maintaining a culture of support, awareness, and sensitivity about the importance and impact of our differences and leverage these differences to build a stronger iSeatz. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact the People Operations Team at humanresources@iseatz.com. A Note About Joining Our Workforce At iSeatz, we're building a team of bold thinkers, innovative builders, and thoughtful collaborators — people who are excited to make an impact, grow their careers, and help shape the future of travel and loyalty tech. If you're energized by meaningful work, passionate about creating exceptional experiences, and ready to bring your unique perspective to a team that values trust, growth, and transparency — we can't wait to meet you.", "summaryDescription" : "Client Insights Analyst at iSeatz. Skills: Client Insights, Data Analysis. Identify trends. Interpret results", "postedDate" : "2026-06-16T01:22:13.039", "createdAt" : "2026-06-16T01:22:13.039", "lastUpdated" : "2026-06-16T08:42:22.280", "ingestTimestamp" : "2026-06-16T01:22:13.039", "mongoId" : "6a308724f292fd229c0863dc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 77000, "salaryAnnualMax" : 90000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Data validation", "Trend identification", "Result interpretation", "Client Insights", "Data Analysis", "Client-facing analytics", "Client-facing reporting", "Product analytics", "Conversion analysis", "Digital web analytics", "Travel bookings", "Lifestyle bookings", "Digital commerce", "Travel technology", "Loyalty tech", "Tableau" ], "skillCount" : 16, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 620.9308, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "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. 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Work with business leaders", "domainKnowledge" : "Accounts payable automation", "domainList" : [ "accounts-payable-automation" ], "domainSpecificKnowledge" : [ "Accounts payable automation" ], "toolProficiency" : [ "Microsoft Excel", "SQL", "Power BI", "PowerPoint" ], "communicationSkills" : "Communicate complex data", "problemSolvingSkills" : "Problem-solving skills; Intellectual curiosity", "outcomesObjectives" : "Improve processes; Improve bottom line", "qualificationsBasic" : "Bachelor's degree in an analytical discipline, 3+ years of experience in a highly analytical environment, SQL proficiency, Microsoft Excel experience, PowerPoint experience", "qualificationsPreferred" : "Python experience, Executive presence", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About the role: We are looking for a level II Enterprise Data Analyst to drive key enterprise analyses and reporting. You will partner with stakeholders across the business to build a data-driven culture by delivering key insights, strategies, and recommendations that improve AvidXchange’s processes and bottom line. What You’ll Do: Generate actionable insights and recommendations for operational and financial partnersDive cross-functional initiatives from an analytical and subject matter expert perspective, identifying the largest opportunities and implementing the right solutions in partnership with senior leaders Hold partners accountable to use data and make sure it is ingrained in their operational rhythm Communicate complex data and processes in a simple manner to senior audiences Build and maintain automated reporting/dashboards for internal stakeholders to monitor trends and forecast performance for key metrics Work with business leaders to identify key opportunities for improvement through reporting and process What We’re Looking For: Bachelor’s degree in an analytical discipline Experience with Microsoft Excel, SQL, Power BI (or similar), and Power Point 3+ years of experience in a highly analytical environment Executive presence and ability to influence strategic outcomes Strong problem-solving skills and intellectual curiosity Experience with Python About AvidXchange AvidXchange is a leading provider of accounts payable (“AP”) automation software and payment solutions for middle-market businesses and their suppliers. By trade, we are a technology company, but if you ask anyone who works here, they’ll tell you our people are at the core of who we are. At AvidXchange, mindset is everything. We are Connected as People, Growth Minded, and Customer Obsessed. These three mindsets represent our culture – who we are, who we’ve always been, and they guide us to improve every day. Since our founding in 2000 in Charlotte, NC, we’ve created a company of over 1,500 teammates working across the U.S., or remotely. AvidXchange is proud to be Certified™ as a Great Place to Work®. The prestigious recognition is based on anonymous data from our teammates and makes official what our teammates have known for years – that AvidXchange is a Great Place to Work®. Who you are: A go-getter with an entrepreneurial mindset – that means you are not afraid of taking risks, winning big or facing the unknown. Someone who understands that business is people centric. Connecting with others as humans first allows you to develop mutually beneficial working relationships. Focused on making a difference for our customers. AvidXchange exists to help solve complex problems for our customers so we can all realize our potential. What you’ll get: AvidXchange teammates (we call them AvidXers) get the perks and prestige of a growing tech company paired with the flexibility of a founder-led startup. We help our AvidXers develop as professionals and as human beings, providing work/life balance, development programs, and competitive benefits. At AvidXchange, we are building more than a tech company – we are building an experience. We remain committed to a culture where you can fully be 'you’ – connected with others, chasing big goals, and making a meaningful impact. If you want to help us grow while realizing your potential and creating stories you’ll tell for years, you’ve come to the right place. AvidXers enjoy: 18 days PTO* 11 Holidays (8 company recognized & 3 floating holidays) 16 hours per year of paid Volunteer Time Off (VTO) Competitive Healthcare High Deductible Heath Plan Option that has $0 monthly premium for teammate-only coverage 100% AvidXchange paid Dental Base Plan Coverage 100% AvidXchange paid Life Insurance 100% AvidXchange paid Long-Term Disability 100% AvidXchange paid Short-Term Disability Employee Assistance Program (EAP) - Provides counseling services, legal and financial consultations and health advocacy for Teammates and their eligible dependents Onsite Health Clinic with Atrium Health - available to Teammates and their eligible dependents 401(k) Match: 100% match on the first 3% of your salary, plus 50% match on the next 2% Parental Leave: 8 weeks 100% paid by AvidXchange** Discounts on Pet, Home, and Auto insurance WeeCare Childcare Service: helps teammates find affordable daycare, childcare, and tutors 40% less expensive than traditional daycare centers Perks at Work: free discount program that provides teammates the opportunity to save on items from electronics, movie tickets, car buying, vacations, and more Onsite gym fitness center, yoga studio, and basketball court Tuition Reimbursement up to the federal maximum of $5,250*** Hybrid Workplace Flexibility Free parking *Fully granted from beginning of year, pro-rated if hired mid-year **Must be full-time for at least 3 months ***Must be full-time for at least one year Equal Employment Opportunity AvidXchange is an equal opportunity employer. AvidXchange is committed to equal employment opportunity in accordance with applicable federal, state, and local laws. AvidXchange will not discriminate against applicants for employment on any legally recognized basis. This includes, but is not limited to veteran status, race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age and physical or mental disability.", "summaryDescription" : "Business Insights Analyst II at AvidXchange, Inc.. Skills: Data analysis, Reporting, Business intelligence. Generate actionable insights. 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Communicate recommendations", "problemSolvingSkills" : "Data analysis; Statistical analysis; Troubleshooting", "qualificationsBasic" : "5+ years of experience in data analytics or related field, Proficiency in SQL, Bachelor's degree in a quantitative field", "qualificationsPreferred" : "Master's degree preferred, Experience with cloud platforms (AWS, GCP, Azure), Experience with ML frameworks (scikit-learn, TensorFlow, PyTorch), Experience with BI tools (Tableau, Power BI, Looker)", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "NBCUniversal is one of the world's leading media and entertainment companies. We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our global theme park destinations, consumer products, and experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, NBC Sports, Telemundo, NBC Local Stations, Bravo, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through our powerhouse film and television studios, including Universal Pictures, DreamWorks Animation, and Focus Features, and the four global television studios under the Universal Studio Group banner, and operate industry-leading theme parks and experiences around the world through Universal Destinations & Experiences, including Universal Orlando Resort, home to Universal Epic Universe, and Universal Studios Hollywood. NBCUniversal is a subsidiary of Comcast Corporation. Visit www.nbcuniversal.com for more information. Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world. About Platform Distribution & Partnerships: Platform Distribution and Partnerships is a division of NBCUniversal's media group responsible for the distribution and monetization of the company’s multi-billion-dollar linear and streaming services portfolio to pay-tv providers, NBC broadcast affiliates, consumer technology platforms and devices, and consumer brands. A key revenue-generator, the division is comprised of content distribution, affiliate relations and strategic partnerships across NBC, Peacock, Bravo, Telemundo and various FAST channels This is a unique and outstanding opportunity that offers exposure to all aspects of the NBC Network. The Affiliate Relations Division liaises between the NBC Network/Peacock and the 200+ NBC Affiliate Local Stations around the US. This includes working with Entertainment, Sports, News and Peacock. The Sr. Manager will lead the insights and analytics function for the division, focusing on the evolution of consumer viewing habits across linear and streaming platforms. The efforts will inform NBC’s broadcast distribution strategy across partners and platforms. The ideal candidate is a self-starter that can leverage a wide range of data tools to support high-visibility projects. Responsibilities * Responsible for supporting all ratings/data requests (recurring and ad-hoc) for Affiliate Relations team and larger Platform Distribution & Partnerships organization * Leverage data sources to develop internal presentations and client sales materials for critical affiliate deals * Develop frameworks for evaluating viewership of NBC/competitor content across platforms (Pay-TV, over-the-air, FAST) to shape competitive positioning * Work with leadership, communications, PR and other teams to support the development of materials for clients and industry platforms * Represent Affiliate Relations/Broadcast perspective when working on initiatives with vendors (i.e. Nielsen) and broader Decision Sciences organization * Work across NBCU departments to manage platforms and databases housing key station/market information such as ratings and clearances * Support Affiliate Reps in managing daily affiliate station relationships, with a focus on driving operational consistency ## Qualifications Qualifications * 6+ years of experience in insights, strategy, consulting or a related function * 3+ years of experience in measurement, analytics or insights at a media company (station, network, data platform) * Expertise in Media research platforms such as Nielsen, comScore, SNL Kagan, Adobe, Antenna * Expert Excel skills and experience compiling, transforming, and modeling stories using large datasets * Experience crafting compelling PowerPoint presentations that tell meaningful stories with data * Familiarity working with visualization tools (ex. Tableau) * Superior organizational and administrative skills with the ability to multi-task and prioritize work required * Excellent verbal and written communication skills with all levels both internal and external Additional Requirements: * Hybrid: This position currently has a hybrid schedule, which requires contributing from the office a minimum of four days per week. The Company reserves the right to change in-office requirements at any time. * This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page of the Careers website. * Sr. Manager Salary range: $120,000 - $145,000 (Bonus Eligible) ## Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to AccessibilitySupport@nbcuni.com.", "summaryDescription" : "Sr Manager, Distribution Insights and Analytics at NBCUniversal. Skills: Data analytics, Machine learning, Business intelligence, Data engineering. Develop and maintain data pipelines. Build and optimize data models", "postedDate" : "2026-06-15T14:25:16.000", "createdAt" : "2026-06-16T00:14:42.954", "lastUpdated" : "2026-06-16T09:18:42.965", "ingestTimestamp" : "2026-06-16T00:14:42.954", "mongoId" : "6a306afff292fd229cfceb63", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 120000, "salaryAnnualMax" : 145000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Data engineering", "Machine learning", "Business intelligence", "Statistical modeling", "A/B testing", "Causal inference", "Data analytics", "Data modeling", "Statistical analysis", "Quantitative analysis", "Data science", "Analytics engineering", "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods", "Modelling skills", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "SQL", "Python", "R", "Spark", "Dbt", "Snowflake", "BigQuery", "Redshift", "Databricks", "Fivetran", "Airflow", "Dbt Cloud", "Delta Lake", "AWS", "GCP", "Azure", "SageMaker", "Vertex AI", "Synapse", "ML Studio", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "Tableau", "Power BI", "Looker" ], "skillCount" : 52, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "_score" : 607.7656, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.95 }, { "id" : "6a304ff3f292fd229ceeb334", "title" : "Sr Manager, Distribution Insights and Analytics", "company" : "NBCUniversal", "industry" : "Entertainment", "salary" : { "min" : 120000.0, "max" : 145000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, NEW YORK, United States", "locations" : [ "New York", "NEW YORK", "United States" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T08:45:12.856", "fingerprint" : "55427dd654eb7d917189288e6c25472957d891875ce5f91427c51d29ab5b8218", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/NBCUniversal3/744000132217389-sr-manager-distribution-insights-and-analytics", "externalId" : "744000132217389", "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", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "SQL, Python, R, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure, SageMaker, Vertex AI, Synapse, ML Studio, Tableau, Power BI, Looker", "professionalSkills" : [ "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Data engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Data analysis", "Data modeling", "Statistical methods", "Machine learning", "Data engineering", "Business intelligence", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Business intelligence", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data Science, Data Engineering, Machine Learning, Business Intelligence", "majorSkillsList" : [ "Data Science", "Data Engineering", "Machine Learning", "Business Intelligence" ], "coreResponsibilities" : "Develop and maintain data pipelines, Build and deploy machine learning models, Create and manage BI dashboards, Perform data analysis and generate insights, Collaborate with stakeholders to understand data needs, Ensure data quality and integrity, Stay current with industry trends and technologies", "teamCollaboration" : "Cross-functional teams; 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We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our global theme park destinations, consumer products, and experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, NBC Sports, Telemundo, NBC Local Stations, Bravo, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through our powerhouse film and television studios, including Universal Pictures, DreamWorks Animation, and Focus Features, and the four global television studios under the Universal Studio Group banner, and operate industry-leading theme parks and experiences around the world through Universal Destinations & Experiences, including Universal Orlando Resort, home to Universal Epic Universe, and Universal Studios Hollywood. NBCUniversal is a subsidiary of Comcast Corporation. Visit www.nbcuniversal.com for more information. Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world. About Platform Distribution & Partnerships: Platform Distribution and Partnerships is a division of NBCUniversal's media group responsible for the distribution and monetization of the company’s multi-billion-dollar linear and streaming services portfolio to pay-tv providers, NBC broadcast affiliates, consumer technology platforms and devices, and consumer brands. A key revenue-generator, the division is comprised of content distribution, affiliate relations and strategic partnerships across NBC, Peacock, Bravo, Telemundo and various FAST channels This is a unique and outstanding opportunity that offers exposure to all aspects of the NBC Network. The Affiliate Relations Division liaises between the NBC Network/Peacock and the 200+ NBC Affiliate Local Stations around the US. This includes working with Entertainment, Sports, News and Peacock. The Sr. Manager will lead the insights and analytics function for the division, focusing on the evolution of consumer viewing habits across linear and streaming platforms. The efforts will inform NBC’s broadcast distribution strategy across partners and platforms. The ideal candidate is a self-starter that can leverage a wide range of data tools to support high-visibility projects. Responsibilities * Responsible for supporting all ratings/data requests (recurring and ad-hoc) for Affiliate Relations team and larger Platform Distribution & Partnerships organization * Leverage data sources to develop internal presentations and client sales materials for critical affiliate deals * Develop frameworks for evaluating viewership of NBC/competitor content across platforms (Pay-TV, over-the-air, FAST) to shape competitive positioning * Work with leadership, communications, PR and other teams to support the development of materials for clients and industry platforms * Represent Affiliate Relations/Broadcast perspective when working on initiatives with vendors (i.e. Nielsen) and broader Decision Sciences organization * Work across NBCU departments to manage platforms and databases housing key station/market information such as ratings and clearances * Support Affiliate Reps in managing daily affiliate station relationships, with a focus on driving operational consistency ## Qualifications Qualifications * 6+ years of experience in insights, strategy, consulting or a related function * 3+ years of experience in measurement, analytics or insights at a media company (station, network, data platform) * Expertise in Media research platforms such as Nielsen, comScore, SNL Kagan, Adobe, Antenna * Expert Excel skills and experience compiling, transforming, and modeling stories using large datasets * Experience crafting compelling PowerPoint presentations that tell meaningful stories with data * Familiarity working with visualization tools (ex. Tableau) * Superior organizational and administrative skills with the ability to multi-task and prioritize work required * Excellent verbal and written communication skills with all levels both internal and external Additional Requirements: * Hybrid: This position currently has a hybrid schedule, which requires contributing from the office a minimum of four days per week. The Company reserves the right to change in-office requirements at any time. * This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page of the Careers website. * Sr. Manager Salary range: $120,000 - $145,000 (Bonus Eligible) ## Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. 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Build and deploy machine learning models", "postedDate" : "2026-06-15T14:25:16.000", "createdAt" : "2026-06-15T21:41:18.491", "lastUpdated" : "2026-06-16T08:45:12.856", "ingestTimestamp" : "2026-06-15T21:41:18.491", "mongoId" : "6a304ff3f292fd229ceeb334", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 120000, "salaryAnnualMax" : 145000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Data modeling", "Statistical methods", "Machine learning", "Data engineering", "Business intelligence", "A/B testing", "Causal inference", "Data Science", "Data Engineering", "Machine Learning", "Business Intelligence", "Statistical analysis", "Quantitative analysis", "Data warehousing", "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical modelling", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "SQL", "Python", "R", "Spark", "Dbt", "Snowflake", "BigQuery", "Redshift", "Databricks", "Airflow", "Tableau", "Power BI", "Looker", "Scikit-learn", "TensorFlow", "PyTorch" ], "skillCount" : 39, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "_score" : 607.2039, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6ddb74d8ee00a0920264", "title" : "Lead Product Analyst", "company" : "Wise", "industry" : "Financial Services", "salary" : { "min" : 75000.0, "max" : 115000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : false }, "location" : "London, United Kingdom", "locations" : [ "London", "United Kingdom" ], "timestamp" : "2026-06-15T08:19:13.840", "fingerprint" : "7493e729df4133654baaa9952380218821353c819b12856f80ebf8476906715e", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Wise/744000131942289-lead-product-analyst-recommend", "externalId" : "744000131942289", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "SQL, Python, R, Dbt", "professionalSkills" : [ "Product analytics", "Marketing strategy", "Data driven insights", "Growth strategy", "Performance optimisation", "Forecasting performance", "Investment framework", "Data products", "Sustainable growth", "Measurement attribution", "Incremental reporting", "RFM analysis", "Lifetime values", "Return on investment", "Marketing concepts", "Payback", "CAC", "LTV", "Contribution Margin" ], "hardSkillsList" : [ "Statistical analysis", "Experimental design", "Data visualisation", "Storytelling with data" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Experimental design", "level" : "intermediate" }, { "name" : "Data visualisation", "level" : "intermediate" }, { "name" : "Storytelling with data", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Product analytics, Recommendation programs, Data driven insights", "majorSkillsList" : [ "Product analytics", "Recommendation programs", "Data driven insights" ], "coreResponsibilities" : "Own Recommend data and analytical domains, Make recommendations based on insights, Contribute to, own, create and track OKRs, Keep team accountable throughout quarter, Own measurement & attribution in Invite, Track and quantify growth channel drives, Quantify how growth is measured, Control for incremental growth, Report on actual performance, Optimise performance per country/program, Run A/B tests, Deep analysis into segments, Improve channel forecasts performance, Input recommendations to investment framework, Own optimisation data products, Identify data and modelling needs, Build data products for growth", "teamCollaboration" : "Work with product team; Partner with marketing teams; Work closely with team", "projectManagementSkills" : [ "OKRs" ], "domainKnowledge" : "Recommendations; Referrals; Invite programs; Marketing channels; Customer lifetime value", "domainList" : [ "recommendations", "referrals", "invite-programs", "marketing-channels", "customer-lifetime-value" ], "domainSpecificKnowledge" : [ "Recommendations", "Referrals", "Invite programs", "Marketing channels", "Customer lifetime value" ], "toolProficiency" : [ "Dbt", "Looker", "PowerBI", "Tableau" ], "communicationSkills" : "Tell a story; Give guidance on strategy", "problemSolvingSkills" : "Deep analysis", "outcomesObjectives" : "Drive strategy and growth; Enable maximal sustainable growth", "qualificationsBasic" : "Advanced SQL, Advanced Python/R skills, Familiar with data pipelines, Successfully set up and run A tests, Understanding of testing and experimental design, Experience with data visualisation tools", "qualificationsPreferred" : "Worked on invite or referral programs, PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : false, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. More about[ our mission](https://wise.jobs/our-mission) and[ what we offer](https://wise.jobs/what-we-offer). We are looking for a Lead Product Analyst to support the biggest driver of new users at Wise, the Recommend channel (think refer-a-friend). You should be passionate about our mission of Money Without Borders as this role can have a critical impact on the mission. You will work with a product team to build scalable recommendation programs and partner up with marketing teams to drive strategy and growth by providing data driven insights and recommendations. In this role, you will have a unique opportunity to work with a rich dataset and uncover insights as well as build tools to help people around the world be aware of Wise. Your mission: At Wise our mission is ‘Building the best way to move and manage the world's money Min fees. Max ease. Full speed.' Whether our customers are sending money to another country, spending money abroad, or making and receiving international business payments, Wise is on a mission to make their lives easier and save them money. Here’s how you’ll be contributing: * Own the Recommend data and analytical domains and proactively make recommendations based on insights with experience in recommendations or referrals advantageous * Contribute to, own, create and track OKRs for your team, keeping them accountable throughout the quarter * Own measurement & attribution in Invite: you collaborate with your team on how to track and quantify the growth your channel drives and how it is measured and controlled for incremental effects; report on actual performance to marketing stakeholders * Optimise performance per country/program by running A/B tests and deep analysis into segments (RFM), lifetime values (LTVs), return on investment etc. * Improve how your channel forecasts performance and inputs recommendations to the investment framework * Own optimisation data products in Recommend by working closely with your team, you identify what data and modelling needs to be collected & automated to build data products that enable maximal sustainable growth. This includes managing data pipelines ## Qualifications A bit about you: * You have a background working in either product analytics and have ideally worked on invite or referral programs before * You have advanced SQL skills; Python/R skills are advantageous; familiar with data pipelines (we use dbt) * You’ve successfully set up and run A/B tests before and have a strong understanding of testing and experimental design * Able to demonstrate that you can tell a story and proactively give guidance on strategy based on insights * You are familiar with common marketing concepts (how different channels work, Payback, CAC, LTV, Contribution Margin, etc.) * You have experience with data visualisation tools (Looker, PowerBI, Tableau etc.) and demonstrate storytelling ability with data ## Additional Information What do we offer: * Salary: £75,000 - £115,000 * [Company Restricted Stock Units](https://www.wise.jobs/2021/03/26/the-true-value-of-stock-in-a-high-growth-company-like-wise/) * [Numerous great benefits in our London office ](https://www.wise.jobs/2020/07/07/benefits-in-our-london-office/) Key benefits: * Hybrid working * Paid annual holiday, sick days, parental leave and other leave opportunities * 6 weeks of paid sabbatical after 4 years at Wise on top of annual leave For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. We're proud to have a truly international team, and we celebrate our differences. Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. If you want to find out more about what it's like to work at Wise visit [Wise.Jobs](https://www.wise.jobs/). Keep up to date with life at Wise by following us on [LinkedIn](https://www.linkedin.com/company/1769571/) and [Instagram](https://www.instagram.com/wisecareers/).", "summaryDescription" : "Lead Product Analyst at Wise. Skills: Product analytics, Recommendation programs, Data driven insights. Own Recommend data and analytical domains. Make recommendations based on insights", "postedDate" : "2026-06-12T16:19:40.000", "createdAt" : "2026-06-14T02:29:04.791", "lastUpdated" : "2026-06-15T08:19:13.840", "ingestTimestamp" : "2026-06-14T02:29:04.791", "mongoId" : "6a2c6ddb74d8ee00a0920264", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Statistical analysis", "Experimental design", "Data visualisation", "Storytelling with data", "Leadership", "Product analytics", "Recommendation programs", "Data driven insights", "Marketing strategy", "Growth strategy", "Performance optimisation", "Forecasting performance", "Investment framework", "Data products", "Sustainable growth", "Measurement attribution", "Incremental reporting", "RFM analysis", "Lifetime values", "Return on investment", "Marketing concepts", "Payback", "CAC", "LTV", "Contribution Margin", "OKRs", "Recommendations", "Referrals", "Invite programs", "Marketing channels", "Customer lifetime value", "Dbt", "Looker", "PowerBI", "Tableau" ], "skillCount" : 35, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "_score" : 606.66486, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305117f292fd229cef9692", "title" : "Brand Insights Manager", "industry" : "Analyst", "salary" : { "min" : 60000.0, "max" : 90000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Brand Insights Manager in Bulgaria, adjusted for mid-seniority and full-time employment." }, "location" : "US", "locations" : [ "US" ], "timestamp" : "2026-06-16T11:24:26.000", "fingerprint" : "98adda4b3ade60bc30f28596f41c6db91ad433fa663dd199c403f8914931cf4f", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/dbb19793-6b0d-4baa-91dc-735a64b40380/apply", "externalId" : "dbb19793-6b0d-4baa-91dc-735a64b40380", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceLevel" : "Manager", "technicalSkills" : "Excel", "professionalSkills" : [ "Data analytics", "Customer insights", "Consulting", "Data interpretation", "Brand performance", "Marketing strategy" ], "hardSkillsList" : [ "Quantitative analysis", "Qualitative understanding" ], "hardSkills" : [ { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Qualitative understanding", "level" : "intermediate" } ], "majorSkills" : "Client presentations, Data storytelling, Client relationship management", "majorSkillsList" : [ "Client presentations", "Data storytelling", "Client relationship management" ], "coreResponsibilities" : "Own and manage a portfolio of client accounts, Ensure engagement, satisfaction, and long-term retention, Conduct regular reviews, Proactive communication with clients, Translate client goals into measurement frameworks, Translate client goals into reporting structures, Translate client goals into actionable insights, Deliver timely, high-quality reports, Deliver performance analyses, Highlight brand impact, Highlight trends, Highlight opportunities for optimization, Act as a trusted advisor to clients, Present insights and recommendations, Shape strategic marketing decisions, Shape communication decisions, Identify upsell opportunities, Identify cross-sell opportunities, Collaborate with sales teams, Support growth initiatives, Support renewals, Maintain accurate client records, Maintain reporting, Maintain documentation within CRM systems, Track account health, Track account risks, Collaborate with internal teams, Share customer feedback, Support product improvements, Contribute to new KPI development, Analyze qualitative data, Analyze quantitative data, Uncover trends, Uncover patterns, Uncover performance drivers", "teamCollaboration" : "Collaborate with sales teams; Collaborate with internal teams", "projectManagementSkills" : [ "Managing multiple projects" ], "domainKnowledge" : "Brand performance; Marketing strategy; Data interpretation", "domainList" : [ "brand-performance", "marketing-strategy", "data-interpretation" ], "domainSpecificKnowledge" : [ "Brand performance", "Marketing strategy", "Data interpretation" ], "toolProficiency" : [ "CRM systems" ], "communicationSkills" : "Client presentations; Storytelling", "documentationSkills" : "Reporting; Documentation", "continuousLearning" : "Learning and development support", "problemSolvingSkills" : "Data interpretation; Actionable recommendations", "qualificationsBasic" : "5+ years of experience in data analytics, 5+ years of experience in customer insights, 5+ years of experience in consulting, 5+ years of experience in data-driven client-facing role, Proficiency in Excel, Experience transforming data into clear, compelling insights and narratives, Proven ability to lead client presentations, Communicate complex findings through storytelling, Relationship-building skills, Stakeholder management skills, Ability to influence clients effectively, Ability to advise clients effectively, Experience managing multiple projects simultaneously, Comfortable working in a consultative, client-facing role, Ability to combine quantitative analysis with qualitative understanding, Deliver actionable recommendations", "qualificationsPreferred" : "Experience in a similar data-driven client-facing role", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Own and manage a portfolio of client accounts, ensuring strong engagement, satisfaction, and long-term retention through regular reviews and proactive communication. Translate client marketing and communication goals into clear measurement frameworks, reporting structures, and actionable insights. Deliver timely, high-quality reports and performance analyses that highlight brand impact, trends, and opportunities for optimization. Act as a trusted advisor to clients, presenting insights and recommendations that shape strategic marketing and communication decisions. Identify upsell and cross-sell opportunities and collaborate with sales teams to support growth initiatives and renewals. Maintain accurate client records, reporting, and documentation within CRM systems while tracking account health and risks. Collaborate with internal teams to share customer feedback, support product improvements, and contribute to new KPI development. Analyze qualitative and quantitative data to uncover trends, patterns, and performance drivers across brand portfolios. Requirements: 5+ years of experience in data analytics, customer insights, consulting, or a similar data-driven client-facing role. Strong analytical skills with proficiency in Excel and experience transforming data into clear, compelling insights and narratives. Proven ability to lead client presentations and communicate complex findings through storytelling at multiple organizational levels. Strong relationship-building and stakeholder management skills, with the ability to influence and advise clients effectively. Experience managing multiple projects simultaneously in fast-paced and evolving environments. Strong curiosity and interest in brand performance, marketing strategy, and data interpretation. Ability to combine quantitative analysis with qualitative understanding to deliver actionable recommendations. Comfortable working in a consultative, client-facing role that blends analysis, strategy, and communication. Benefits: Competitive salary with performance-based compensation (varies by location and experience). Flexible remote work arrangements, with opportunities to collaborate internationally. Comprehensive health, dental, and vision insurance (based on location). Paid time off and holidays to support work-life balance. Learning and development support to encourage continuous growth and skill-building. Exposure to leading global brands in fashion, lifestyle, and beauty industries. Collaborative, people-first culture focused on autonomy, impact, and professional development. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Brand Insights Manager. Skills: Client presentations, Data storytelling, Client relationship management. Own and manage a portfolio of client accounts. Ensure engagement, satisfaction, and long-term retention", "postedDate" : "2026-06-15T15:48:25.672", "createdAt" : "2026-06-15T15:48:25.672", "lastUpdated" : "2026-06-16T11:24:26.000", "ingestTimestamp" : "2026-06-16T03:20:42.612", "mongoId" : "6a305117f292fd229cef9692", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Quantitative analysis", "Qualitative understanding", "Client presentations", "Data storytelling", "Client relationship management", "Data analytics", "Customer insights", "Consulting", "Data interpretation", "Brand performance", "Marketing strategy", "Managing multiple projects", "CRM systems" ], "skillCount" : 13, "jobCategory" : "sales", "jobSubcategory" : "customer_success", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 605.0698, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Marketing", "llmIndustryConfidence" : 0.92 }, { "id" : "6a2c692474d8ee00a090635c", "title" : "Senior Product Manager - Merchant Intelligence and Analytics", "industry" : "Product", "location" : "Remote", "locations" : [ "Remote", "Remote - EMEA" ], "timestamp" : "2026-06-15T09:41:08.681", "fingerprint" : "130ebb148618211b59b3bd68d425e661a4f39b1a3359d54546b1eb6b84dad77d", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/constructor/e7426b59-431b-418b-a501-dde7f13b21bf/application", "externalId" : "e7426b59-431b-418b-a501-dde7f13b21bf", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Data storytelling", "User experience advocacy", "Strategic thinking", "Cross-functional leadership", "Customer research", "Problem solving", "Decision making", "Motivating teams", "Driving outcomes", "Strategic execution", "Product strategy", "Business intelligence", "Reporting design" ], "hardSkillsList" : [ "Qualitative research", "Quantitative research" ], "hardSkills" : [ { "name" : "Qualitative research", "level" : "intermediate" }, { "name" : "Quantitative research", "level" : "intermediate" } ], "majorSkills" : "Product strategy, Business intelligence, Customer insights, Data analysis", "majorSkillsList" : [ "Product strategy", "Business intelligence", "Customer insights", "Data analysis" ], "coreResponsibilities" : "Develop product strategy, Execute product strategy, Define business intelligence metrics, Define insights metrics, Build actionable reporting, Communicate Constructor's impact, Design reporting for personas, Own cross-product revenue breakdown, Surface shopping journey impact, Drive proactive insights, Lead cross-functional team, Scale cross-functional team, Manage product cycle, Conduct customer research, Understand analytics consumption, Understand decision making, Understand value proof, Collaborate with product teams, Ensure data quality, Ensure data actionability, Communicate at all levels, Set expectations, Provide updates", "teamCollaboration" : "Cross-functional teams; Fellow product teams; GTM teams; Internal stakeholders", "projectManagementSkills" : [ "Product cycle management", "Roadmap planning" ], "domainKnowledge" : "Product discovery; E-commerce; Business performance; Return on investment; Shopping journey", "domainList" : [ "product-discovery", "e-commerce", "business-performance", "return-on-investment", "shopping-journey" ], "domainSpecificKnowledge" : [ "Product discovery", "E-commerce", "Business performance", "Return on investment", "Shopping journey" ], "communicationSkills" : "Shareable narratives; Regular updates", "problemSolvingSkills" : "Root cause analysis; Opportunity assessment; Risk assessment; Decision making", "outcomesObjectives" : "Prove Constructor value; Make insights accessible; Make insights actionable; Drive retention; Drive upsells; Drive customer trust; Make ROI visible; Explain revenue drivers; Expand insight reach; Ensure value transparency; Ensure value clarity; Understand business performance; Understand ROI; Deliver compelling narratives; Position Constructor indispensable; Drive e-commerce business; Unify merchandisers; Unify product managers; Unify marketers; Unify analysts; Unify executives; Provide actionable insights; Explain why insights happen; Guide next steps; Launch products; Enable teams; Enable customers; Iterate on results", "qualificationsBasic" : "Customer research competencies, Strategic thinking, Cross-functional leadership, Experience working remotely, Experience in agile software development", "qualificationsPreferred" : "Background in analytics, Background in e-commerce products", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "ABOUT YOU As the Product Manager for Merchant Intelligence & Analytics (MIA), you will lead a cross-functional team building intelligence products that prove the value Constructor brings to e-commerce businesses — making insights from the product discovery journey accessible and actionable for stakeholders from digital merchandisers to executives. You are a data storyteller and user experience advocate who excels at turning fragmented analytics into proactive, guided, and holistic user journeys delivered to the right persona through the right channel at the right time. By leveraging your competencies in customer research, strategic thinking, and cross-functional leadership, you will bridge the gap between raw analytics data and business intelligence that drives retention, upsells, and customer trust. JOB DESCRIPTION Constructor is the only platform that delivers reinforcement-learning-based product discovery that delivers the right product to the right person at the right time in the right context. Our customers need actionable data that proves ROI, informs merchandising strategy, and surfaces opportunities for improvement across the entire product discovery journey. The business impact we deliver to our customers is real — Constructor has never lost an A/B test against competition. The opportunity ahead is to make it continuously visible beyond A/B tests, building an always-on explanation of how product discovery drives revenue. Our customer-facing dashboard already serves merchandisers well, and the next challenge is expanding the reach to every persona responsible for conversion: product managers, marketers, analysts, and executives. Success in this role means ensuring that the massive business value Constructor delivers is fully transparent and clear across our customers' organizations. As a Product Manager leading the MIA team, you will own the customer job of understanding business performance and ROI of product discovery driven by Constructor. This is a high visibility, high impact role that involves conducting deep customer research across multiple personas, finding the right channels to deliver insights, defining metrics for insight quality and adoption, leading your cross-functional team, and ultimately, translating vast and complex data into compelling, shareable narratives for all audiences, from IC merchandisers to executives. WHAT YOU WILL DO - Develop and execute a comprehensive product strategy and metrics for business intelligence and insights that position Constructor as an indispensable product discovery platform for driving e-commerce business. - Build clear and actionable reporting that communicates Constructor's impact on business metrics and is designed to be consumed and shared across multiple personas through the right channels (customer app, email, exports, conversational AI). - Own the cross-product revenue breakdown: surface how each step in the shopping journey drives e-commerce business as the shared mental model that unifies merchandisers, product managers, marketers, analysts, and executives. - Drive proactive, actionable insights at each step of the product discovery journey — not just data on what's happening, but why it's happening and what to do next. - Lead and scale a cross-functional team of engineers and a designer, while owning the full product cycle from discovery to prototyping, implementation, launching, enabling fellow teams and customers, and iterating on results. - Conduct customer research across multiple personas and industries to understand how different stakeholders consume analytics, make decisions, and prove value internally. - Collaborate closely with fellow product teams to ensure data quality and actionability in merchandising, explainability, reporting, and AI agent workflows. - Communicate effectively at all levels to ensure wonderful experience for customers, prospects, GTM teams, and internal stakeholders, by setting the right expectations and providing regular updates on product strategy, roadmap, and progress against key initiatives and team metrics. WHO WE ARE LOOKING FOR - You are a data storyteller — you can take complex e-commerce data and translate it into compelling, value-based, and actionable narratives tailored to different audiences: executives, PMs, merchandisers, marketers. - You are a user experience advocate who turns fragmented workflows into proactive, guided, and holistic experiences. You understand that data is not delivered until it provokes action. - You love doing qualitative and quantitative customer research. You go beyond surface-level requests to understand the underlying business needs behind them. - You are a problem solver who digs into root causes, assesses opportunities and risks, and makes decisions even when faced with uncertainty. - You are able to motivate cross-functional teams and drive outcomes by involving and guiding fellow product and GTM teams. - You think strategically and execute consistently — delivering tangible wins while ensuring focus on long-term objectives. You know how to trade off short-term customer requests with strategic bets. - You are comfortable collaborating with technical teams (data engineering, ML, backend) outside your area of expertise to make informed product decisions. - You are naturally curious about new ideas and products. - You seek a fast-moving entrepreneurial environment and thrive in ever-evolving processes. - You have experience of working remotely and in agile software development with empowered cross-functional teams. - Having a background in analytics and/or e-commerce products is a plus.", "summaryDescription" : "Senior Product Manager - Merchant Intelligence and Analytics. Skills: Product strategy, Business intelligence, Customer insights, Data analysis. Develop product strategy. Execute product strategy", "createdAt" : "2026-06-14T04:55:21.210", "lastUpdated" : "2026-06-15T09:41:08.681", "ingestTimestamp" : "2026-06-14T04:55:21.210", "mongoId" : "6a2c692474d8ee00a090635c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "Qualitative research", "Quantitative research", "Product strategy", "Business intelligence", "Customer insights", "Data analysis", "Data storytelling", "User experience advocacy", "Strategic thinking", "Cross-functional leadership", "Customer research", "Problem solving", "Decision making", "Motivating teams", "Driving outcomes", "Strategic execution", "Reporting design", "Product cycle management", "Roadmap planning", "Product discovery", "E-commerce", "Business performance", "Return on investment", "Shopping journey" ], "skillCount" : 24, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Senior", "dataQualityScore" : 0.6666667, "_score" : 603.1687, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305640f292fd229cf26503", "title" : "Lead, Finance Insights", "company" : "Delivery Hero", "industry" : "Internet", "salary" : { "min" : 6000000.0, "max" : 9000000.0, "currency" : "PKR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for E-Commerce in Karachi, Pakistan, adjusted for Lead seniority and full-time employment." }, "location" : "Karachi, PK", "locations" : [ "Karachi", "PK" ], "certifications" : [ "ACCA", "CA" ], "timestamp" : "2026-06-16T07:30:37.079", "fingerprint" : "c71bf2a12138d783572aaebb208ecaa5ea1c604a4a1c90a40bb7560d7fb6f0fc", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/DeliveryHero/744000132119619-lead-finance-insights", "externalId" : "744000132119619", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Karachi", "state" : "Sindh", "country" : "Pakistan", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "24.8546842,67.0207055" } ], "locationText" : "Karachi, Sindh, Pakistan", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Excel, Financial planning systems, Reporting tools", "professionalSkills" : [ "Financial planning", "Analytical skills", "Financial modeling", "Data analysis", "Business partnering", "Stakeholder management", "Presentation abilities", "Communication abilities" ], "hardSkillsList" : [ "Financial analysis", "Performance reporting", "Strategic financial analysis", "Financial governance", "Performance management", "Variance analysis", "Scenario modeling", "Resource allocation", "Financial control", "Process optimization" ], "hardSkills" : [ { "name" : "Financial analysis", "level" : "intermediate" }, { "name" : "Performance reporting", "level" : "intermediate" }, { "name" : "Strategic financial analysis", "level" : "intermediate" }, { "name" : "Financial governance", "level" : "intermediate" }, { "name" : "Performance management", "level" : "intermediate" }, { "name" : "Variance analysis", "level" : "intermediate" }, { "name" : "Scenario modeling", "level" : "intermediate" }, { "name" : "Resource allocation", "level" : "intermediate" }, { "name" : "Financial control", "level" : "intermediate" }, { "name" : "Process optimization", "level" : "intermediate" } ], "majorSkills" : "Financial Planning, Forecasting, Management Reporting, Financial Analysis", "majorSkillsList" : [ "Financial Planning", "Forecasting", "Management Reporting", "Financial Analysis" ], "coreResponsibilities" : "Lead annual budgeting process, Coordinate planning inputs, Develop bottom-up budgets, Analyze budget submissions, Prepare management presentations, Manage periodic forecasting cycles, Review financial performance, Identify performance gaps, Support development of financial KPIs, Prepare monthly financial reports, Lead financial performance reviews, Deliver financial insights, Ensure accuracy of reporting, Conduct ad-hoc financial analyses, Evaluate business initiatives, Support strategic projects, Provide recommendations to optimize profitability, Review month-end financial results, Perform variance analysis, Investigate significant movements, Support balance sheet reviews, Ensure compliance with policies, Drive enhancements in processes, Develop financial models, Maintain planning tools, Support automation initiatives, Contribute to finance transformation, Partner with country leadership, Facilitate alignment between objectives, Provide financial insights", "teamCollaboration" : "Business leaders; Functional stakeholders; Cross-functional teams; Country leadership; Functional heads; Regional finance teams; Shared service teams", "domainKnowledge" : "Financial planning; Budgeting; Forecasting; Performance reporting; Management reviews; Strategic financial analysis; Financial governance; Financial KPIs; Variance analysis; Business case evaluations; Scenario modeling; Investment opportunities; Resource allocation; Month-end close; Financial control; Financial models; Planning tools; Reporting solutions; Finance transformation", "domainList" : [ "financial-planning", "budgeting", "forecasting", "performance-reporting", "management-reviews", "strategic-financial-analysis", "financial-governance", "financial-kpis", "variance-analysis", "business-case-evaluations", "scenario-modeling", "investment-opportunities", "resource-allocation", "month-end-close", "financial-control", "financial-models", "planning-tools", "reporting-solutions", "finance-transformation" ], "domainSpecificKnowledge" : [ "Financial planning", "Budgeting", "Forecasting", "Performance reporting", "Management reviews", "Strategic financial analysis", "Financial governance", "Financial KPIs", "Variance analysis", "Business case evaluations", "Scenario modeling", "Investment opportunities", "Resource allocation", "Month-end close", "Financial control", "Financial models", "Planning tools", "Reporting solutions", "Finance transformation" ], "toolProficiency" : [ "Excel", "Financial planning systems", "Reporting tools" ], "communicationSkills" : "Presentation abilities; Communication abilities", "continuousLearning" : "Expand your skill set; Accelerate your career; Opportunities to learn; Grow", "problemSolvingSkills" : "Problem-solving capability", "outcomesObjectives" : "Achievement of financial targets; Improve business performance; Support strategic decision-making; Optimize profitability; Optimize cash flow; Optimize resource allocation; Make a meaningful impact", "qualificationsBasic" : "5–8 years of experience, Experience in budgeting, Experience in forecasting, Experience in management reporting, Experience in financial modeling, Experience working with senior stakeholders, Experience working with cross-functional teams", "qualificationsPreferred" : "Professional qualification such as ACCA, Professional qualification such as CA, Equivalent preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "foodpanda is part of the Delivery Hero Group, the world’s pioneering local delivery platform, our mission is to deliver an amazing experience—fast, easy, and to your door. We operate in around 65 countries worldwide. Headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index. Job Purpose The Lead, Finance Insights is responsible for driving financial planning, budgeting, forecasting, performance reporting, management reviews, and strategic financial analysis to support business decision-making. The role partners closely with business leaders and functional stakeholders to deliver financial insights, ensure robust financial governance, and enable achievement of financial targets through effective planning and performance management. Key Responsibilities: Financial Planning & Budgeting * Lead the annual budgeting process, including development of timelines, planning assumptions, budgeting templates, and governance frameworks. * Coordinate with business and functional stakeholders to gather planning inputs and ensure alignment with strategic objectives. * Develop and consolidate bottom-up budgets, including P&L, working capital, cash flow, and capital expenditure plans. * Analyze budget submissions, identify risks and opportunities, and recommend gap-closing initiatives. * Prepare management presentations and supporting materials for budget review and approval forums. Forecasting & Financial Performance Management * Manage periodic forecasting cycles, including Monthly and rolling forecasts and Quarterly Targets. * Review financial performance against budget, forecast, prior year, and strategic targets. * Identify performance gaps, key drivers, risks, and opportunities, and provide actionable recommendations. * Support development and monitoring of financial KPIs to improve business performance. Management Reporting & Business Reviews * Prepare monthly financial reports. * Lead financial performance reviews with senior management and business stakeholders. * Deliver meaningful financial insights, variance analysis, and commentary to support strategic decision-making. * Ensure accuracy, consistency, and timely delivery of management reporting packs. Financial Analysis & Business Partnering * Conduct ad-hoc financial analyses, business case evaluations, and scenario modeling. * Partner with commercial, supply chain, operations, and support functions to evaluate business initiatives and investment opportunities. * Support strategic projects and transformation initiatives through financial assessment and performance tracking. * Provide recommendations to optimize profitability, cash flow, and resource allocation. Month-End Close & Financial Governance * Review month-end financial results and validate completeness, accuracy, and consistency of financial information. * Perform variance analysis and investigate significant movements in financial performance. * Support balance sheet reviews, account reconciliations, and financial control activities. * Ensure compliance with internal policies, procedures, and financial governance requirements. Continuous Improvement * Drive enhancements in planning, forecasting, reporting, and financial analysis processes. * Develop and maintain financial models, planning tools, and reporting solutions. * Support automation, standardization, and process optimization initiatives across the finance function. * Contribute to finance transformation projects and implementation of best practices. Stakeholder Management * Partner with country leadership, functional heads, regional finance teams, and shared service teams. * Facilitate alignment between business objectives and financial targets. * Act as a trusted advisor by providing timely financial insights and recommendations. ## Qualifications Qualifications & Experience * Professional qualification such as ACCA, CA or equivalent preferred. * 5–8 years of experience in Financial Planning & Analysis, Commercial Finance, Business Finance, or Controlling. * Strong experience in budgeting, forecasting, management reporting, and financial modeling. * Experience working with senior stakeholders and cross-functional teams. Skills & Competencies * Strong financial planning and analytical skills. * Advanced financial modeling and data analysis capabilities. * Excellent business partnering and stakeholder management skills. * Strong presentation and communication abilities. * Ability to translate financial data into actionable business insights. * High attention to detail and problem-solving capability. * Proficiency in Excel, financial planning systems, and reporting tools ## Additional Information Why Join foodpanda Pakistan? * Our business is focused on growth which offers plenty of opportunities to take ownership, expand your skill set, and accelerate your career * Collaborative, high-performing, and diverse team environment * Flexible working arrangements, including Friday work-from-home * Competitive rewards package, including fuel card, corporate and mobile allowances * Comprehensive healthcare coverage, including OPD and IPD benefits * Opportunities to learn, grow, and make a meaningful impact in a fast-paced business", "summaryDescription" : "Lead, Finance Insights at Delivery Hero. Skills: Financial Planning, Forecasting, Management Reporting, Financial Analysis. Lead annual budgeting process. 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"[Mountain View, CA, USA, [100 Bay Vw Dr, Mountain View, CA 94043, USA], Mountain View, 94043, CA, US]" ], "timestamp" : "2026-06-16T12:39:28.595", "fingerprint" : "479daf96f3cf2c929c7116bc2d6b1b647aa95e7c43996dce6f491b5ee3434f76", "source" : "google", "language" : "en", "externalId" : "115920673452237510", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Mountain View", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3893889,-122.0832101" } ], "locationText" : "Mountain View, California, United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "summaryDescription" : "Senior Software Engineer, Recommendations, Search Intelligence", "postedDate" : "2026-06-16T01:52:13.924", "createdAt" : "2026-06-16T01:52:13.924", "lastUpdated" : "2026-06-16T12:39:28.595", "ingestTimestamp" : "2026-06-16T01:52:13.924", "mongoId" : "6a307f6cf292fd229c059136", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 250000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.5555556, "_score" : 598.5688, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305119f292fd229cef9cda", "title" : "Manager, Market Insights", "industry" : "Analyst", "salary" : { "min" : 116000.0, "max" : 151000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "US", "locations" : [ "US" ], "timestamp" : "2026-06-16T13:45:38.605", "fingerprint" : "d66f1971169ac564a69c18fbdb30288bf744ae50764e73f4ee6cd93e74d98a62", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/fc6ba82f-ae7e-4f6c-b23e-cceb9f318a4e/apply", "externalId" : 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"Storytelling; Presentations", "continuousLearning" : "Introduce new research methodologies; Introduce new tools; Introduce new approaches", "problemSolvingSkills" : "Analytical skills; Problem-solving skills; Data synthesis", "specialRequirements" : "Travel up to 20% domestically", "outcomesObjectives" : "Generate actionable insights; Generate strategic recommendations", "qualificationsBasic" : "Bachelor’s degree in Marketing, Business, Life Sciences, Market Research, or related equivalent experience, 6+ years of experience in market research, commercial analytics, or competitive intelligence within biopharmaceutical or biotechnology environments, Expertise in qualitative and quantitative research methodologies, Experience working with secondary healthcare data sources, Analytical and problem-solving skills, Excellent communication and storytelling skills, Proven ability to manage multiple projects, vendors, timelines, and budgets, Advanced proficiency in Excel, PowerPoint, and Word, Collaboration and stakeholder management skills", "qualificationsPreferred" : "Best practices for generating actionable insights, Ability to synthesize multiple data streams into clear business recommendations, Ability to translate complex findings into clear presentations for senior stakeholders, Attention to detail and organizational skills, Ability to influence across cross-functional teams", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Design and lead primary market research initiatives such as message testing, customer journey analysis, brand performance tracking, and sales force effectiveness studies, ensuring appropriate methodologies are applied to key business questions. Manage end-to-end research projects including vendor selection, execution oversight, timeline and budget management, and regular communication of progress to leadership. Leverage secondary data sources such as claims, promotional data, and internal prescription data to identify market trends and support business decision-making. Integrate primary research findings with secondary data and competitive intelligence to generate actionable insights and strategic recommendations. Collaborate with cross-functional stakeholders across Marketing, Sales, Market Access, and Insights teams to define research priorities and address ad hoc analytical needs. Continuously evaluate and introduce new research methodologies, tools, and approaches to enhance insight generation and analytical capabilities. Contribute to annual planning and budget allocation for insights initiatives, ensuring effective resource management. Requirements: Bachelor’s degree in Marketing, Business, Life Sciences, Market Research, or related field; equivalent experience may be considered. 6+ years of experience in market research, commercial analytics, or competitive intelligence within biopharmaceutical or biotechnology environments. Strong expertise in qualitative and quantitative research methodologies and best practices for generating actionable insights. Experience working with secondary healthcare data sources, including claims, promotional, and prescription data. Strong analytical and problem-solving skills with the ability to synthesize multiple data streams into clear business recommendations. Excellent communication and storytelling skills, with the ability to translate complex findings into clear presentations for senior stakeholders. Proven ability to manage multiple projects, vendors, timelines, and budgets in a fast-paced environment. Advanced proficiency in Excel, PowerPoint, and Word, with strong attention to detail and organizational skills. Strong collaboration and stakeholder management skills, with the ability to influence across cross-functional teams. Ability to travel up to 20% domestically for meetings and company events. Benefits: Competitive base salary range of $116,000 – $151,000, plus short-term incentives and long-term equity compensation opportunities. Comprehensive health coverage including medical, dental, vision, disability, and life insurance for employees and eligible dependents. Retirement savings plan with employer match. Generous paid time off, holidays, and work-life balance programs. Access to wellness programs and employee assistance resources. Opportunity to work in a mission-driven environment focused on rare disease innovation and patient impact. Exposure to high-impact strategic projects with strong cross-functional visibility and leadership engagement. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Manager, Market Insights. Skills: Market research, Data analysis, Insight generation. Design primary market research initiatives. 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Work with design; Work with engineering; Work with marketing; Work with fincrime; Work with operations", "projectManagementSkills" : [ "Roadmap planning", "Prioritization" ], "domainKnowledge" : "Payments; Banking; Cryptocurrency; Trading", "domainList" : [ "payments", "banking", "cryptocurrency", "trading" ], "domainSpecificKnowledge" : [ "Payments", "Banking", "Cryptocurrency", "Trading" ], "toolProficiency" : [ "Figma" ], "innovationCreativity" : "First principles thinking; New approaches; Bold ideas; New concepts; New solutions", "problemSolvingSkills" : "First principles thinking; Questioning assumptions; Creating order out of ambiguity", "specialRequirements" : "Live in UAE, Move to UAE", "outcomesObjectives" : "Ship 10 star experiences; Move needle for users", "qualificationsBasic" : "2–4 years experience in high-growth tech, 2–4 years experience in banking/finance, Higher-education degree in STEM, Analytical and technical acumen, Empathy for users, Entrepreneurial mindset, Track record of leading product development", "qualificationsPreferred" : "Excellent SQL skills, Proficiency in conducting deep analyses, Familiarity with Figma, Familiarity with design principles, Experience coding", "remoteFriendly" : true, "rawDescription" : "THE ROLE To fuel the next stage of our growth journey, Ziina is expanding our world-class Product team: We’re looking for a Payments Experience Product Owner to own the customer’s experience when sending and receiving payments. You'll sit at the core of the most critical part of the Ziina app, defining priorities, identifying opportunities, scoping work, and shipping 10 star experiences that move the needle for our users every single day. This is a hands-on, individual contributor role. You'll be deep in the product yourself, talking to users, defining behaviors and shaping features. We are looking for someone not afraid to try new approaches that delight our customers, always based on first principles thinking. AS A PRODUCT OWNER AT ZIINA YOU WILL: - Define your team's roadmap and success metrics to align with company goals. Monitor results frequently and adjust strategies accordingly. - Understand your customers inside out and stay close to how people actually behave. Run research, watch sessions, dig into the data, and turn insights into product decisions. - Design and implement experiments, initiatives and features from inception to launch by conducting analyses, benchmarking, putting together hypotheses and requirements and working closely with design and engineering teams to develop, launch and iterate the initiative. - Be creative and ambitious: propose bold ideas and create new concepts, always grounded in first principle thinking, your user persona and JTBD. You are biased to create new solutions and not re-implement established recipes. - Build a culture of fast iteration with a quick and efficient turnaround of designing and shipping new experiences in an iterative and automated way, harnessing the best AI tools. - Work alongside top-skilled people in the industry, collaborating closely with every function, including engineering, design, marketing, fincrime and operations, to align product goals with overall business objectives. KEY SKILLS AND CHARACTERISTICS - You have 2–4 years of experience in a high-growth tech company or in a banking/finance-related area such as acquiring, payments, cryptocurrency, or trading. - You have a higher-education degree in a STEM field, with strong analytical and technical acumen. - You have strong empathy for users and are eager to go into the field, conduct user research, and run user testing. - You have an entrepreneurial mindset: you’ve founded something, shipped your own product, or taken initiative to put a solution in front of real users. - You have a track record of leading product development from scratch, ideally in ambiguous or zero-to-one environments. - You use strong business judgment to prioritize based on impact, ROI, and what matters most to users and the business. - You are comfortable creating order out of ambiguity, questioning assumptions, applying first-principles thinking, and using AI and automation tools to deliver more with less. - You live in, or are willing to move to, the UAE. WHAT WOULD AMAZE US - Excellent SQL skills and proficiency in conducting deep analyses. - Familiarity with Figma and design principles. - Experience coding", "summaryDescription" : "Product Owner: Payments Experience at Ziina. Skills: Payments experience, Product roadmap, User insights. Define team roadmap. Define success metrics", "createdAt" : "2026-06-14T20:23:06.311", "lastUpdated" : "2026-06-16T05:59:29.387", "ingestTimestamp" : "2026-06-14T20:23:06.311", "mongoId" : "6a2ce86874d8ee00a0a6aa32", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Product strategy", "Roadmap definition", "User stories", "Scoping work", "Data analysis", "Experiment design", "Feature development", "Payments experience", "Product roadmap", "User insights", "First principles thinking", "User research", "Benchmarking", "Hypothesis generation", "Product development", "Business judgment", "Prioritization", "Roadmap planning", "Payments", "Banking", "Cryptocurrency", "Trading", "Figma" ], "skillCount" : 23, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 592.9305, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca3ba74d8ee00a09ad61c", "title" : "Director Consumer Insights", "company" : "Wizards of the Coast", "salary" : { "min" : 170200.0, "max" : 255300.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-16T02:55:37.773", "fingerprint" : "be7c3f0154ffcaf1dcfd8de811af6c39e8cfe4316c3105fc65f0dfd543895ba3", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/hasbro/jobs/4249817009", "externalId" : "4249817009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "remoteFriendly" : true, "rawDescription" : "We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. At Wizards of the Coast, we connect people around the world through play and imagination. From our genre-defining games like Magic: The Gathering® and Dungeons & Dragons® to our growing multiverse, we continue to innovate and build new ways to foster friendship and connection. That's where you come in! Magic: The Gathering is the world's premier trading card game, with a global community of players, collectors, and fans spanning tabletop and digital experiences. We are seeking a Director of Consumer Insights to serve as a strategic leader and voice of the player within the Magic ecosystem. Embedded within the Magic Product Strategy team, this role is responsible for shaping product, play, and franchise decisions through a deep understanding of players, collectors, and the evolving trading card game landscape. The Director will lead a team of insights professionals and own the end-to-end insights agenda across Magic's portfolio, influencing everything from set design, product design, and packaging to marketing, organized play, and long-term franchise strategy. This role partners closely with Product Strategy, Business and Economics Strategy, Game and Creative Design, Packaging, Marketing, Events, and Franchise teams to ensure that the voice of the player is central to decision-making. The Director will also oversee critical insight systems such as Magic acquisition, play activity tracking, and brand health, while collaborating across the broader Insights organization to deliver best-in-class thinking. The ideal candidate brings a deep passion for Magic: The Gathering, a strong point of view on players and collectors, and the leadership's ability to translate insights into impactful business decisions at the executive level. Key Responsibilities: Strategic Leadership & Partnership Act as the primary insights partner to the Magic Product Strategy team, directly influencing product roadmap, set development, and portfolio strategy. Build strong relationships with senior stakeholders across Game Design, Creative Design, Business and Economics Strategy, Packaging, Marketing, Events/Organized Play, and Franchise to drive insight-led decision making. Serve as a trusted advisor to Magic and Wizards leadership, delivering clear, actionable recommendations to executive audiences. Player, Collector & Ecosystem Understanding Lead the development of a holistic understanding of Magic's audience, including player segmentation, collector behavior, and lifecycle dynamics across formats and play environments. Drive insights into acquisition, onboarding, engagement, and retention, identifying opportunities to grow and sustain the Magic player base. Provide strategic guidance on community health, organized play, and the Local Game Store ecosystem. Insights Systems & Thought Leadership Own and evolve Magic's core insight systems, including Brand Tracker, Play Activity studies, and acquisition measurement frameworks. Translate complex data and research into compelling narratives that inform product design, marketing strategy, and franchise direction. Lead insights for Universes Beyond and Magic IP initiatives, ensuring external partnerships and internal worldbuilding resonate with fans and attract new audiences. Research & Execution Excellence Oversee the design and execution of qualitative and quantitative research across product development, concept testing, packaging, messaging, and campaign effectiveness. Ensure high standards for quality, rigor, and actionability across all deliverables. Integrate primary research with secondary sources and internal analytics to create a comprehensive view of the business. Team Leadership & Development Lead, coach, and develop a high-performing team of ~5 insights managers and analysts, setting a clear vision for how the team drives impact across the Magic business. Foster an inclusive, collaborative, and growth-oriented team culture where diverse perspectives are valued and individuals are empowered to do their best work. Provide ongoing coaching, feedback, and career development to build both technical expertise and strategic influence within the team. Establish high standards for insight quality, storytelling, and stakeholder partnership, ensuring work is actionable and drives measurable business outcomes. Align team priorities and resources to the most critical business needs, enabling agility while maintaining focus on long-term strategic initiatives. Champion ways of working that encourage curiosity, innovation, and continuous improvement across the team. Cross-Functional Collaboration Partner with VIA Hasbro team and other Wizards insights teams to integrate behavioral data, advanced analytics, and broader category learnings into Magic workstreams. Contribute to the evolution of Insights capabilities, tools, and vendor ecosystems across Wizards and Hasbro. Budget & Operations Management Own and manage the Magic Consumer Insights budget, ensuring effective allocation of resources across strategic priorities. Drive financial discipline and decision-making to maximize the impact and efficiency of insights investments. Qualifications and Requirements: 10+ years of experience in Consumer Insights, Market Research, or a related field across gaming, entertainment, or consumer products. Passion for Magic: The Gathering and familiarity with its players, play formats, and ecosystem. Proven ability to translate insights into business impact, influencing product, brand, or customer experience decisions. Experience leading and developing teams, with a focus on coaching and inclusive leadership. Excellent communication and storytelling skills, with the ability to influence senior stakeholders. 5+ years of conducting qualitative, quantitative, and mixed-methods research. Experience managing budgets and prioritizing investments effectively. We encourage candidates from all backgrounds to apply. We value diverse perspectives and recognize that experience can take many forms. Education BA/BS or equivalent experience required, preferably in social sciences, marketing, or a related field. Advanced degree a plus. We are an Equal Opportunity Employer Wizards of the Coast is committed to equality of opportunity in all aspects of employment. We are committed to making all employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, or any other legally protected status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. If you have a disability and require assistance in this application process and need to request an accommodation, please contact your recruiter or coordinator. #Wizards The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package. Pay Range $170,200—$255,300 USD Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.", "summaryDescription" : "Director Consumer Insights at Wizards of the Coast", "postedDate" : "2026-06-14T20:07:37.957", "createdAt" : "2026-06-14T20:07:37.957", "lastUpdated" : "2026-06-16T02:55:37.773", "ingestTimestamp" : "2026-06-14T20:07:37.957", "mongoId" : "6a2ca3ba74d8ee00a09ad61c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 170200, "salaryAnnualMax" : 255300, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "_score" : 592.68335, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305fc5f292fd229cf808fe", "title" : "Contribution Trade Operations Associate", "company" : "Human Interest", "industry" : "FinTech", "salary" : { "min" : 36000.0, "max" : 54000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Contribution Trade Operations Associate in the FinTech industry in Bulgaria, adjusted for remote work and company size." }, "location" : "Remote", "locations" : [ "Remote" ], "timestamp" : "2026-06-16T06:49:07.897", "fingerprint" : "a0f42a57bfa736c236677eac747a9f7b4aff6576dabf1c5f6db970eb5bad8689", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/humaninterest/jobs/8002856", "externalId" : "8002856", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Human Interest is on a mission to ensure that people in all lines of work have access to retirement benefits. More than half of all working Americans are not saving enough for their future. Too often, it’s because they are employed by a company that doesn’t offer a retirement plan. Human Interest is changing that by making it affordable and accessible for small and medium-sized businesses to offer employees a path to financial independence through retirement savings. We’re a high-growth fintech company changing the retirement industry. We are backed by a number of investors. This includes funding from Marshall Wace and Baillie Gifford, as well as top investors such as BlackRock, TPG (The Rise Fund), SoftBank, Glynn Capital, NewView Capital, USVP, Wing, Uncork, and more. About the role As a member of the Contribution Trade Operations team, you will play a key role in supporting day-to-day operations at a rapidly scaling startup. Organized, detail-oriented, and adaptable, you will ensure accurate and timely payroll processing while helping to build and refine processes from the ground up. You will gain in-depth knowledge of various payroll systems and integrations to ensure contributions are processed correctly and on time. Your role will also involve troubleshooting integration issues, maintaining accurate records, and collaborating with internal teams to optimize processes and communicate trends and metrics. About the team This team serves as a critical driver of operational excellence and data integrity, managing nearly 30,000 payrolls per month and ensuring the precise oversight of millions of dollars in monthly capital. In this role, the team reviews and verifies customer and account data to guarantee absolute accuracy, minimize errors, and maintain strict compliance with industry regulations and company standards. By continuously optimizing contribution processing workflows, they increase transaction speed and accuracy while actively identifying automation opportunities to eliminate manual tasks. The team leverages detailed analysis and validation to resolve complex issues, ensuring accurate reporting and safeguarding data integrity. Collaborating closely with cross-functional partners, they address customer needs, contribute to product enhancements, and share vital operational insights to guide internal decision-making. Additionally, the team manages key strategic projects, aligning resources and timelines with broader business goals to ensure seamless, timely delivery. What you get to do every day Ensure that all data is reviewed for accuracy and discrepancies are identified and escalated, contributing to accurate and compliant customer accounts. Achieve consistent, timely processing of contributions, meeting deadlines and ensuring customers’ contributions are correctly applied without delays. Proactively identify discrepancies and correct errors, ensuring high-quality, consistent data for reporting and operational purposes. Support a smooth flow of information between teams to resolve customer inquiries quickly and contribute ideas to streamline workflows, improving overall operational efficiency. Gain proficiency in the company's operational processes, becoming a trusted point of contact for day-to-day support and offering insights on how to enhance these processes. Assist in the successful completion of key projects by contributing to tasks on time, supporting project leads, and ensuring high standards of quality in project deliverables. This position's duties and assignments are subject to modification based on organizational needs. What you bring to the role Strong attention to detail Good organizational skills Clear communication skills, both verbal and written Ability to work efficiently in a fast-paced environment Comfortable working both independently and as part of a team Strong aptitude for working with numbers Time management skills to prioritize tasks effectively Basic problem-solving abilities Interest in research and learning Willingness to identify and suggest process improvements 1-2 years of experience in Accounting or 401(k) Recordkeeping Bachelor's Degree Basic reconciliation skills Why you will love working at Human Interest Human Interest is tackling one of our country's biggest challenges - closing the retirement gap. You'll be instrumental in architecting and scaling solutions that bring financial security to employees at small and medium-sized businesses nationwide. We’ve made significant progress, but there is still growth ahead, offering you a unique opportunity to solve complex problems, drive innovation, and advance your career alongside a dedicated, mission-driven team. We value hard work and recognize that our team's contributions are key to our continued success. Join Human Interest and make a lasting impact by shaping the future of retirement. Our operating principles define how we work together as a team. They reflect Human Interest’s unique view on what’s important and what’s right. Documenting this core aspect of our culture helps employees make good decisions on their own. It also helps candidates considering career opportunities critically evaluate whether they will thrive at Human Interest. Customer obsession: We're all about creating amazing experiences for our customers. We put their needs first and go the extra mile to make them smile. Long-Term Orientation: We're not just playing for today; we're building a legacy. We think big, plan strategically, and invest in our future. Autonomous and Accountable Teams: We trust our team members to take ownership and make smart decisions. We empower you to be your best self! An Escalating Bar for Talent and Performance: We're constantly raising the bar and challenging ourselves to be better. We believe in growth and continuous improvement. Fundamental Optimism: We see the glass as half full (and then we fill it up with more amazing ideas!). We believe in the power of positivity and the potential for greatness. Compensation - At Human Interest, there are a number of factors that are used to determine the appropriate pay range for each position. We take into account the cost of labor for each position in various markets across the U. S. The base salary for this position spans $20.67 - $24.00 per hour and represents the minimum in our lowest geographic region to a maximum in our highest geographic region. The salary we offer to a new employee within this range is based on their location within the U.S., their relevant job-related skills, and experience. At Human Interest, base salary is one component of the overall total rewards package. Depending on the position, additional compensation components such as bonuses, commissions, and equity may be offered. All of our employees are offered a robust suite of physical, financial, and mental wellness benefits. In compliance with applicable laws, we do not inquire about salary history, or about criminal history prior to a conditional offer of employment. Benefits - A great 401(k) plan: Our own! Our 401(k) includes a dollar-for-dollar employer match up to 4% of compensation (immediately vested) and $0 plan fees Top-of-the-line health plans, as well as dental and vision insurance Competitive time off and parental leave Addition Wealth: Unlimited access to digital tools, financial professionals, and a knowledge center to help you understand your equity and support your financial wellness Lyra: Enhanced Mental Health Support for Employees and dependents Carrot: Fertility healthcare and family forming benefits Candidly: Student loan resource to help you and your family plan, borrow, and repay student debt Monthly work-from-home stipend; quarterly lifestyle stipend Engaging team-building experiences, ranging from virtual social events to team offsites, promoting collaboration and camaraderie. We’re a great place to work (but don’t take our word for it) Here’s a list of our awards and accolades: Certified as a Great Place To Work® (2023-2025) Fortune Best Place to Work in the Bay Area (2024) Best Places to Work by Built In (2023-2024) America’s Best Startup Employers by Forbes (2020-2022, 2024) A Top Company by Y Combinator (2020-2023) Inc. Fastest Growing Companies (2021) Human Interest is an equal opportunity employer. All applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran or military status, pregnancy, or any other characteristics protected under federal, state, or local laws. Employment with Human Interest is at-will, meaning either you or the company may terminate employment at any time, with or without cause or notice, except as otherwise provided by law or written agreement. We are committed to making every stage of our application process fully accessible to all individuals. If you need a reasonable accommodation at any point in the process, please let us know at applicantaccommodations@humaninterest.com. Protect yourself against fraud and identity theft. Apply to our open positions directly via our careers page on Greenhouse. Human Interest will never ask applicants for their financial or banking information as part of our application process. All legitimate communication will come from a @humaninterest.com email address. If you have questions, please reach out to us directly at careers@humaninterest.com Please note Human Interest does not accept unsolicited resumes from any source other than directly from candidates. We will not consider resumes from vendors, including and without limitation search firms, staffing agencies, fee-based referral services, and recruiting agencies. Pursuant to the San Francisco Fair Chance Ordinance, we will consider employment-qualified applicants with arrest and conviction records. We comply with CCPA guidelines. See more: https://humaninterest.com/disclosures", "summaryDescription" : "Contribution Trade Operations Associate at Human Interest", "postedDate" : "2026-06-15T23:26:34.013", "createdAt" : "2026-06-15T23:26:34.013", "lastUpdated" : "2026-06-16T06:49:07.897", "ingestTimestamp" : "2026-06-15T23:26:34.013", "mongoId" : "6a305fc5f292fd229cf808fe", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Junior", "dataQualityScore" : 0.6666667, "_score" : 591.31464, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.92 }, { "id" : "6a3079aef292fd229c034403", "title" : "Retail Data & Consumer Insights Intern", "company" : "Umami", "industry" : "Work-Based Learning", "salary" : { "min" : 15.0, "max" : 15.0, "currency" : "USD", "frequency" : "per-hour-wage" }, "location" : "Bentonville, AR", "locations" : [ "Bentonville, AR" ], "timestamp" : "2026-06-16T12:03:59.337", "fingerprint" : "6e536fffe8e3ec6e34e36a6a3478d006e6cd30d3a0d3d1e5023943cea511c667", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/acds/f1b59e1c-6037-430d-8bcd-38f63c131057/apply", "externalId" : "f1b59e1c-6037-430d-8bcd-38f63c131057", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bentonville", "state" : "Arkansas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "36.3728608,-94.2087870" } ], "locationText" : "Bentonville, Arkansas, United States", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Clippr plugin", "professionalSkills" : [ "Consumer insights", "Product insights", "Data collection", "Data entry", "Data analysis", "Reporting", "Competitive benchmarking", "Assortment mapping", "Consumer sentiment analysis", "Innovation pipeline prioritization", "Brand health analysis", "Opportunity sizing", "Workflow optimization", "Process improvements", "Database maintenance", "Knowledge repositories" ], "hardSkillsList" : [ "Data visualization", "Reporting" ], "hardSkills" : [ { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Reporting", "level" : "intermediate" } ], "majorSkills" : "Retail data, Consumer insights, AI", "majorSkillsList" : [ "Retail data", "Consumer insights", "AI" ], "coreResponsibilities" : "Capture product data, Capture pricing data, Capture packaging data, Capture assortment data, Maintain accuracy, Maintain consistency, Identify anomalies, Identify gaps, Identify trends, Flag data entry issues, Use Clippr plugin, Scrape retail product information, Tag retail product information, Organize retail product information, Execute standardized workflows, Support category scans, Support competitive benchmarking, Support assortment mapping, Structure data for analytics, Structure data for reporting, Gather review-based consumer sentiment data, Decode consumer pain points, Decode unmet needs, Decode competitive strengths, Decode competitive weaknesses, Support creation of category snapshots, Support creation of opportunity maps, Support creation of concept inputs, Support preparation of reports, Analyze patterns across retailers, Analyze patterns across categories, Analyze patterns across consumer feedback, Contribute to innovation pipeline prioritization, Organize data inputs, Synthesize data inputs, Assist with ad hoc research, Support internal documentation, Support workflow optimization, Participate in team meetings, Contribute to process improvements, Maintain internal databases, Maintain knowledge repositories, Provide general operational support", "teamCollaboration" : "Innovation team; Insights team; Product team", "domainKnowledge" : "CPG innovation; AI; Retail data; Product development", "domainList" : [ "cpg-innovation", "ai", "retail-data", "product-development" ], "domainSpecificKnowledge" : [ "CPG innovation", "AI", "Retail data", "Product development" ], "toolProficiency" : [ "Clippr plugin", "Microsoft Excel", "Google Sheets", "Tableau", "Power BI", "Looker Studio" ], "communicationSkills" : "Written communication; Verbal communication", "documentationSkills" : "Internal documentation", "continuousLearning" : "Learning new technologies", "problemSolvingSkills" : "Identify anomalies; Identify gaps; Identify trends; Decode consumer pain points; Decode unmet needs; Decode competitive strengths; Decode competitive weaknesses", "specialRequirements" : "No future visa sponsorship", "qualificationsBasic" : "Attention to detail, Proficiency with Microsoft Excel, Proficiency with Google Sheets, Ability to identify patterns, Ability to identify trends, Ability to identify inconsistencies in data, Ability to work independently, Ability to manage multiple projects, Ability to meet deadlines, Current Arkansas state resident, Ability to pass a standard background check, Ability to work 40 hours a week, Ability to work full-time in the United States, Technical aptitude", "qualificationsPreferred" : "Familiarity with data visualization tools, Familiarity with reporting tools, Curious about CPG innovation, Excited to work at the intersection of AI, retail data, and product development, Interest in learning new technologies, Interest in growing IT career, Interest in starting IT career, Ability to communicate technical aptitude", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "## Description Apprenticely is working with our company partner, the Umami to add an Retail Data & Consumer Insights Intern to their team in Bentonville, Arkansas! Our Apprenticely Internship Program is a three-month program that places selected candidates with employers across Arkansas in IT positions to gain experience under the guidance of a professional mentor/IT support team. Internships are designed as an on-ramp to an IT career and can roll into full-time positions based on employer demand. About Umami: Umami is an AI-enabled, customer-driven Food & Beverage innovation platform built to analyze customer feedback and company advantages to generate strategic product insights for innovators within consumer-driven brands. We combine machine learning, consumer data, and brands’ unique advantages—from insight to innovation. FIELDBOOK, a studio operated by Alloy Partners, is dedicated to creating and accelerating advantaged “retail value chain” startups. We are launching Umami out of Fieldbook Studio—backed by the Walton Family Foundation and the Arkansas Development Finance Authority (ADFA). About the Role: The Intern will support Umami’s retail data collection and consumer insights workflows using the Clippr plugin and related internal tools. This role is ideal for someone who is detail‑oriented, curious about CPG innovation, and excited to work at the intersection of AI, retail data, and product development. ## Intern Responsibilities Capture product, pricing, packaging, and assortment data across assigned retailers and categories Maintain accuracy and consistency across large datasets Identify anomalies, gaps, or trends during data entry and flag them for review Use the Clippr plugin to scrape, tag, and organize retail product information Execute standardized workflows to support category scans, competitive benchmarking, and assortment mapping Ensure data is properly structured for downstream analytics and reporting Assist in gathering review-based consumer sentiment data aligned with Umami’s methodology (real reviews, not social media) Help decode consumer pain points, unmet needs, and competitive strengths/weaknesses Support the creation of category snapshots, opportunity maps, and early-stage concept inputs Support the preparation of internal and client-facing reports, including charts, summaries, and insights Help analyze patterns across retailers, categories, and consumer feedback Contribute to innovation pipeline prioritization work by organizing and synthesizing data inputs Collaborate with the Innovation, Insights, and Product teams as needed Assist with ad hoc research tasks related to brand health, innovation reports, and opportunity sizing Support internal documentation and workflow optimization Participate in team meetings and contribute to process improvements Help maintain internal databases and knowledge repositories Provide general operational support as the company scales its AI-powered product development platform ## Qualifications of an ideal candidate Strong attention to detail with the ability to maintain accuracy across large datasets. Proficiency with Microsoft Excel and/or Google Sheets. Familiarity with data visualization and reporting tools such as Tableau, Power BI, Looker Studio, or similar platforms. Excellent organizational and time management skills. Strong written and verbal communication skills. Ability to identify patterns, trends, and inconsistencies in data. Comfortable learning new software tools and technology platforms. Ability to work independently while managing multiple projects and deadlines. ## Additional Details Pay Range: $15/hr Schedule: 40-hour week: typically 8 a.m. - 5 p.m. Monday-Friday Length of Internship: 3 months with the potential to convert to a full-time opportunity based on employer demand Location: Bentonville, Arkansas ## Our Must Haves Current Arkansas state resident Ability to pass a standard background check Ability to work 40 hours a week, following the three-month internship Ability to work full-time in the United States without a current or future need for visa sponsorship High curiosity and interest in learning new technologies and growing or starting your IT career Technical aptitude exhibited through projects, experience, or online learning and the ability to communicate what you know ## Additional Information How does the interview process work? Apprenticely will conduct an initial phone interview and assessment. Apprenticely will send selected resumes to companies that match the candidate’s skills and interests. Our employer partners will decide who to interview and select the final candidates for the internship program. Meet the Apprenticely team and join our upcoming virtual webinars via zoom; dates and details are on our events page. Check out our YouTube page for past webinars and career tips! Learn more about us @ www.acds.co & LinkedIn, Facebook, Instagram & Twitter The Arkansas Center for Data Sciences dba Apprenticely will not discriminate against apprenticeship applicants or apprentices based on RACE, COLOR, RELIGION, NATIONAL ORIGIN, SEX (INCLUDING PREGNANCY AND GENDER IDENTITY), SEXUAL ORIENTATION, GENETIC INFORMATION, OR BECAUSE THEY ARE AN INDIVIDUAL WITH A DISABILITY OR A PERSON 40 YEARS OLD OR OLDER. Apprenticely will take affirmative action to provide equal opportunity in apprenticeship and will operate the apprenticeship program as required under Title 29 of the Code of Federal Regulations, part 30 SMS terms: Arkansas Center for Data Sciences (ACDS) DBA Apprenticely offers you the option to engage in SMS text conversations about your application for jobs and training programs. By participating, you also understand that message frequency may vary depending on the status of your job application, and that message and data rates may apply. Please consult your carrier for further information on applicable rates and fees. Carriers are not liable for delayed or undelivered messages. Reply STOP to cancel and HELP for help. View our Privacy & SMS Policy: https://apprenticely.org/privacy-policy/", "summaryDescription" : "Retail Data & Consumer Insights Intern at Umami. Skills: Retail data, Consumer insights, AI. Capture product data. Capture pricing data", "postedDate" : "2026-06-15T14:23:33.187", "createdAt" : "2026-06-15T14:23:33.187", "lastUpdated" : "2026-06-16T12:03:59.337", "ingestTimestamp" : "2026-06-16T03:26:12.618", "mongoId" : "6a3079aef292fd229c034403", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMax" : 15, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Data visualization", "Reporting", "Retail data", "Consumer insights", "AI", "Product insights", "Data collection", "Data entry", "Data analysis", "Competitive benchmarking", "Assortment mapping", "Consumer sentiment analysis", "Innovation pipeline prioritization", "Brand health analysis", "Opportunity sizing", "Workflow optimization", "Process improvements", "Database maintenance", "Knowledge repositories", "CPG innovation", "Product development", "Clippr plugin", "Microsoft Excel", "Google Sheets", "Tableau", "Power BI", "Looker Studio" ], "skillCount" : 27, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "_score" : 588.68726, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Food & Beverage", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c8cff74d8ee00a0977e00", "title" : "Member of Technical Staff (ML Engineer, Recommendations & User Modeling)", "company" : "Perplexity", "industry" : "AI", "salary" : { "min" : 220000.0, "max" : 405000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "San Francisco", "locations" : [ "San Francisco", "Palo Alto" ], "timestamp" : "2026-06-15T09:10:50.352", "fingerprint" : "b7f2cc360ed70e8e2bab9411c4facd6607717368e624f072b4dc99eeb31fb5c3", "source" : "ashby", "applyUrl" : "https://jobs.ashbyhq.com/perplexity/affd3040-91e4-4e0c-bd2f-4b022c613f91/application", "externalId" : "affd3040-91e4-4e0c-bd2f-4b022c613f91", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 6, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "LLMs, recommendation systems, user modeling, ranking", "professionalSkills" : [ "ML fundamentals, covering areas such as engagement modeling, model calibration, offline and online metrics, and online experimentation. Experience integrating LLMs into ranking, retrieval, or personalization pipelines. Background in user understanding, feed ranking, notifications, growth, or lifecycle modeling." ], "hardSkillsList" : [ "production recommendation systems", "production ranking systems", "production personalization systems", "engagement modeling", "model calibration", "offline metrics", "online metrics", "online experimentation", "integrating LLMs into ranking", "integrating LLMs into retrieval", "integrating LLMs into personalization pipelines", "large-scale ranking infrastructure", "large-scale training infrastructure", "multi-stage retrieval", "multi-stage ranking", "feature stores", "real-time serving", "user understanding", "feed ranking", "notifications", "growth modeling", "lifecycle modeling" ], "softSkillsList" : [ "ownership, entrepreneurship, scholarship, partnership" ], "hardSkills" : [ { "name" : "production recommendation systems", "level" : "intermediate" }, { "name" : "production ranking systems", "level" : "intermediate" }, { "name" : "production personalization systems", "level" : "intermediate" }, { "name" : "engagement modeling", "level" : "intermediate" }, { "name" : "model calibration", "level" : "intermediate" }, { "name" : "offline metrics", "level" : "intermediate" }, { "name" : "online metrics", "level" : "intermediate" }, { "name" : "online experimentation", "level" : "intermediate" }, { "name" : "integrating LLMs into ranking", "level" : "intermediate" }, { "name" : "integrating LLMs into retrieval", "level" : "intermediate" }, { "name" : "integrating LLMs into personalization pipelines", "level" : "intermediate" }, { "name" : "large-scale ranking infrastructure", "level" : "intermediate" }, { "name" : "large-scale training infrastructure", "level" : "intermediate" }, { "name" : "multi-stage retrieval", "level" : "intermediate" }, { "name" : "multi-stage ranking", "level" : "intermediate" }, { "name" : "feature stores", "level" : "intermediate" }, { "name" : "real-time serving", "level" : "intermediate" }, { "name" : "user understanding", "level" : "intermediate" }, { "name" : "feed ranking", "level" : "intermediate" }, { "name" : "notifications", "level" : "intermediate" }, { "name" : "growth modeling", "level" : "intermediate" }, { "name" : "lifecycle modeling", "level" : "intermediate" } ], "softSkills" : [ { "name" : "ownership, entrepreneurship, scholarship, partnership" } ], "majorSkills" : "ML Engineer, Recommendations, User Modeling, LLMs, ranking systems", "majorSkillsList" : [ "ML Engineer, Recommendations, User Modeling, LLMs, ranking systems" ], "coreResponsibilities" : "Own the personalization and ranking behind key product surfaces to make Perplexity more useful and drive impact on core user and business metrics. Build user modeling that captures intent, preference, and propensity, and powers more relevant, more personalized experiences. Design the decision layer that balances competing objectives to produce the best overall experience for the user. Build the data and evaluation foundations that let these systems learn and improve with usage. Help shape the technical direction of ranking, recommendations, and personalization at Perplexity.", "teamCollaboration" : "Partnership. We amplify each others’ strengths, break down silos, and give selflessly to help our colleagues deliver excellence.", "continuousLearning" : "Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending.", "innovationCreativity" : "Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they’ve learned. Makers need tools to create their products, their companies, their reality.", "problemSolvingSkills" : "system design; debugging", "specialRequirements" : "For tech leadership roles, we will also look for prior experience setting technical direction for recommendation/ranking projects.", "outcomesObjectives" : "Own the personalization and ranking behind key product surfaces to make Perplexity more useful and drive impact on core user and business metrics. Design the decision layer that balances competing objectives to produce the best overall experience for the user. Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways. Repeat. For curious people this is a cycle that never ends.", "qualificationsBasic" : "Deep, hands-on experience building production recommendation, ranking, or personalization systems at scale. ML fundamentals, covering areas such as engagement modeling, model calibration, offline and online metrics, and online experimentation. Experience integrating LLMs into ranking, retrieval, or personalization pipelines. Taste and judgment for how personalization should work in an LLM-native product, and curiosity about reimagining it from first principles.", "qualificationsPreferred" : "Experience with large-scale ranking and training infrastructure (multi-stage retrieval and ranking, feature stores, real-time serving). Background in user understanding, feed ranking, notifications, growth, or lifecycle modeling.", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Perplexity is seeking experienced ML engineers to design, build, and optimize the recommendation systems that power core experiences on Perplexity. Perplexity builds AI for those who expect more. Our products are designed to help people find answers, make their most consequential decisions, and complete increasingly ambitious work. Across these use cases, the Perplexity experience must feel deeply personal. Great recommendations and user understanding are central to delighting and delivering for each user. To do this, we are reimagining recommendation systems for the LLM era. Our goal is to combine the intelligence of frontier LLMs, the personalization context that comes from real product usage, and the continual learning capabilities of modern recommendation systems. We build systems that draw on past context and connected data sources to deeply understand each user's needs and recommend the actions that help them get the most out of Perplexity. WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both AI native and AI curious users. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others’ strengths, break down silos, and give selflessly to help our colleagues deliver excellence. WHAT YOU'LL DO - Own the personalization and ranking behind key product surfaces to make Perplexity more useful and drive impact on core user and business metrics. - Build user modeling that captures intent, preference, and propensity, and powers more relevant, more personalized experiences. - Design the decision layer that balances competing objectives to produce the best overall experience for the user. - Build the data and evaluation foundations that let these systems learn and improve with usage. - Help shape the technical direction of ranking, recommendations, and personalization at Perplexity. WHAT WE'RE LOOKING FOR - Deep, hands-on experience building production recommendation, ranking, or personalization systems at scale. - Strong ML fundamentals, covering areas such as engagement modeling, model calibration, offline and online metrics, and online experimentation. - Experience integrating LLMs into ranking, retrieval, or personalization pipelines. - Taste and judgment for how personalization should work in an LLM-native product, and curiosity about reimagining it from first principles. - For tech leadership roles, we will also look for prior experience setting technical direction for recommendation/ranking projects. NICE TO HAVE - Experience with large-scale ranking and training infrastructure (multi-stage retrieval and ranking, feature stores, real-time serving). - Background in user understanding, feed ranking, notifications, growth, or lifecycle modeling. OUR MISSION Perplexity’s mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating. Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending. Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they’ve learned. Makers need tools to create their products, their companies, their reality. Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways. Repeat. For curious people this is a cycle that never ends.", "summaryDescription" : "Member of Technical Staff (ML Engineer, Recommendations & User Modeling) at Perplexity. Skills: ML Engineer, Recommendations, User Modeling, LLMs, ranking systems. Own the personalization and ranking behind key product surfaces to make Perplexity more useful and drive impact on core user and business metrics. Build user modeling that captures intent, preference, and propensity, and powers more relevant, more personalized experiences. Design the decision layer that balances competing objectives t", "createdAt" : "2026-06-14T17:53:51.450", "lastUpdated" : "2026-06-15T09:10:50.352", "ingestTimestamp" : "2026-06-14T17:53:51.450", "mongoId" : "6a2c8cff74d8ee00a0977e00", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 220000, "salaryAnnualMax" : 405000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "production recommendation systems", "production ranking systems", "production personalization systems", "engagement modeling", "model calibration", "offline metrics", "online metrics", "online experimentation", "integrating LLMs into ranking", "integrating LLMs into retrieval", "integrating LLMs into personalization pipelines", "large-scale ranking infrastructure", "large-scale training infrastructure", "multi-stage retrieval", "multi-stage ranking", "feature stores", "real-time serving", "user understanding", "feed ranking", "notifications", "growth modeling", "lifecycle modeling", "ownership, entrepreneurship, scholarship, partnership", "ML Engineer, Recommendations, User Modeling, LLMs, ranking systems", "ML fundamentals, covering areas such as engagement modeling, model calibration, offline and online metrics, and online experimentation. Experience integrating LLMs into ranking, retrieval, or personalization pipelines. Background in user understanding, feed ranking, notifications, growth, or lifecycle modeling." ], "skillCount" : 25, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 581.26465, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.97 }, { "id" : "6a2d6c5874d8ee00a0bdce18", "title" : "Consumer Insights Researcher", "company" : "Sandisk", "industry" : "Computer Hardware", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Consumer Insights Researcher in Milpitas, CA, adjusted for the technology industry and company size." }, "location" : "Milpitas, CA, United States", "locations" : [ "Milpitas", "CA", "United States" ], "timestamp" : "2026-06-16T01:35:35.302", "fingerprint" : "1062f7812f723683c64814784419945100c450757ff7f5571e040b1ffc18d431", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Sandisk/744000131807280-consumer-insights-researcher", "externalId" : "744000131807280", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Milpitas", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.4332273,-121.8989248" } ], "locationText" : "Milpitas, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "mid", "technicalSkills" : "SPSS", "professionalSkills" : [ "Research design", "Data analysis", "Stakeholder consulting", "Business strategy", "Portfolio strategy", "Pricing strategy", "Marketing strategy", "Shopper experience", "Customer understanding" ], "hardSkillsList" : [ "Quantitative research", "Qualitative research", "Statistical testing", "Segmentation analysis", "Advanced analytics" ], "hardSkills" : [ { "name" : "Quantitative research", "level" : "intermediate" }, { "name" : "Qualitative research", "level" : "intermediate" }, { "name" : "Statistical testing", "level" : "intermediate" }, { "name" : "Segmentation analysis", "level" : "intermediate" }, { "name" : "Advanced analytics", "level" : "intermediate" } ], "majorSkills" : "Consumer insights, Market research, Quantitative research, Qualitative research", "majorSkillsList" : [ "Consumer insights", "Market research", "Quantitative research", "Qualitative research" ], "coreResponsibilities" : "Lead end-to-end primary research projects, Recommend appropriate methodologies, Design questionnaires, Design discussion guides, Design sampling plans, Design research approaches, Manage external research vendors, Manage fieldwork partners, Manage sample providers, Evaluate research quality, Identify risks, Identify limitations, Identify opportunities for improvement, Analyze quantitative data, Analyze qualitative data, Uncover consumer behaviors, Uncover consumer motivations, Uncover consumer needs, Uncover market opportunities, Integrate findings across multiple data sources, Develop comprehensive consumer understanding, Translate research findings into business implications, Translate research findings into strategic recommendations, Identify emerging consumer trends, Identify emerging opportunities, Partner with product teams, Partner with marketing teams, Partner with sales teams, Partner with strategy teams, Partner with commercial teams, Understand business challenges, Define research needs, Recommend research approaches, Guide stakeholders through interpretation of findings, Present insights to stakeholders, Present recommendations to stakeholders, Educate stakeholders on consumer behavior, Educate stakeholders on research methodologies, Educate stakeholders on best practices, Manage multiple concurrent research initiatives, Balance speed, quality, and business impact, Maintain research documentation, Contribute to knowledge management, Support continuous improvement of research standards, Support continuous improvement of research tools, Support continuous improvement of research processes, Stay current on evolving research methodologies, Stay current on analytical techniques, Stay current on consumer insights best practices", "teamCollaboration" : "Partner with product; Partner with marketing; Partner with sales; Partner with strategy; Partner with commercial teams; Cross-functional stakeholders", "projectManagementSkills" : [ "End-to-end project management" ], "domainKnowledge" : "Consumer behavior; Market research methodologies; Pricing research; Shopper experience; Customer experience", "domainList" : [ "consumer-behavior", "market-research-methodologies", "pricing-research", "shopper-experience", "customer-experience" ], "domainSpecificKnowledge" : [ "Consumer behavior", "Market research methodologies", "Pricing research", "Shopper experience", "Customer experience" ], "toolProficiency" : [ "SPSS" ], "communicationSkills" : "Present insights; Present recommendations", "documentationSkills" : "Maintain research documentation", "continuousLearning" : "Stay current on evolving research methodologies; Stay current on analytical techniques; Stay current on consumer insights best practices", "problemSolvingSkills" : "Data analysis; Translate research findings; Identify emerging trends", "outcomesObjectives" : "Improve business outcomes; Improve consumer satisfaction", "qualificationsBasic" : "Bachelor's degree in Market Research, Psychology, Sociology, Statistics, Behavioral Science, Marketing, Business, or related field, 4-7 years of experience in consumer insights, market research, customer insights, or related research disciplines, Demonstrated experience independently leading end-to-end primary research projects, Expertise in quantitative and qualitative research methodologies, Advanced proficiency in SPSS, Data cleaning and preparation, Weighting and sample management, Cross-tabulation", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today’s needs and tomorrow’s next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we’re living in and that we have the power to shape. Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality. Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward. The Consumer Insights Researcher is responsible for leading primary consumer research that drives business decisions across product innovation, portfolio strategy, pricing, marketing, shopper experience, and customer understanding. This role serves as a strategic partner to cross-functional stakeholders by transforming consumer insights into actionable recommendations that improve business outcomes and consumer satisfaction. The ideal candidate is an experienced researcher with strong expertise in both quantitative and qualitative methodologies. They are capable of independently managing end-to-end research projects, applying statistical rigor to data analysis, and effectively communicating insights to stakeholders at multiple levels of the organization. ESSENTIAL DUTIES AND RESPONSIBILITIES: Research Design & Execution * Lead end-to-end primary research projects from business question development through final recommendation. * Recommend appropriate methodologies based on business objectives, including surveys, focus groups, in-depth interviews, concept testing, product testing, segmentation, pricing, shopper, and customer experience research. * Design questionnaires, discussion guides, sampling plans, and research approaches that ensure methodological rigor and actionable outcomes. * Manage external research vendors, fieldwork partners, and sample providers to ensure project quality, timeliness, and budget adherence. * Evaluate research quality and proactively identify risks, limitations, and opportunities for improvement. Analysis & Insight Development * Analyze quantitative and qualitative data to uncover meaningful consumer behaviors, motivations, needs, and market opportunities. * Utilize SPSS to conduct data cleaning, weighting, statistical testing, segmentation analyses, and advanced analytical techniques. * Integrate findings across multiple data sources to develop comprehensive consumer understanding. * Translate research findings into clear business implications and strategic recommendations. * Identify emerging consumer trends and opportunities that can inform future business decisions. Stakeholder Consulting & Influence * Partner with product, marketing, sales, strategy, and commercial teams to understand business challenges and define research needs. * Serve as a trusted advisor by recommending research approaches and guiding stakeholders through interpretation of findings. * Present insights and recommendations to cross-functional stakeholders and leadership audiences. * Educate stakeholders on consumer behavior, research methodologies, and best practices for evidence-based decision-making. Operational Excellence * Manage multiple concurrent research initiatives while balancing speed, quality, and business impact. * Maintain research documentation and contribute to knowledge management efforts across the Consumer Insights organization. * Support continuous improvement of research standards, tools, and processes. * Stay current on evolving research methodologies, analytical techniques, and consumer insights best practices. ## Qualifications * Bachelor's degree in Market Research, Psychology, Sociology, Statistics, Behavioral Science, Marketing, Business, or related field. * 4-7 years of experience in consumer insights, market research, customer insights, or related research disciplines. * Demonstrated experience independently leading end-to-end primary research projects. * Strong expertise in quantitative and qualitative research methodologies. * Advanced proficiency in SPSS, including: * Data cleaning and preparation * Weighting and sample management * Cross-tabulation and significance testing * Regression analysis * Factor analysis * Cluster analysis and segmentation * Strong survey design and questionnaire-writing skills. * Experience synthesizing complex datasets into actionable business recommendations. * Excellent written, verbal, and presentation communication skills. * Ability to manage multiple projects simultaneously in a fast-paced environment. ## Additional Information Sandisk is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person’s gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person’s assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the \"[Know Your Rights: Workplace Discrimination is Illegal](https://www.eeoc.gov/sites/default/files/2023-06/22-088EEOCKnowYourRights6.12.pdf)” poster. Our pay transparency policy is available [here](https://www.dol.gov/sites/dolgov/files/OFCCP/pdf/pay-transp%20EnglishformattedESQA508c.pdf). Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [jobs.accommodations@sandisk.com](mailto:jobs.accommodations@sandisk.com) to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Based on our experience, we anticipate that the application deadline will be 09/11/2026 (3 months from posting), although we reserve the right to close the application process sooner if we hire an applicant for this position before the application deadline. If we are not able to hire someone from this role before the application deadline, we will update this posting with a new anticipated application deadline. #LI-KH1 Compensation & Benefits Details * An employee’s pay position within the salary range may be based on several factors including but not limited to (1) relevant education; qualifications; certifications; and experience; (2) skills, ability, knowledge of the job; (3) performance, contribution and results; (4) geographic location; (5) shift; (6) internal and external equity; and (7) business and organizational needs. * The salary range is what we believe to be the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range and this range is only applicable for jobs to be performed in California, Colorado, New York or remote jobs that can be performed in California, Colorado and New York. This range may be modified in the future. * You will be eligible to participate in Sandisk's Short-Term Incentive (STI) Plan, which provides incentive awards based on Company and individual performance. Depending on your role and your performance, you may be eligible to participate in our annual Long-Term Incentive (LTI) program, which consists of restricted stock units (RSUs) or cash equivalents, pursuant to the terms of the LTI plan. Please note that not all roles are eligible to participate in the LTI program, and not all roles are eligible for equity under the LTI plan. RSU awards are also available to eligible new hires, subject to Sandisk's Standard Terms and Conditions for Restricted Stock Unit Awards. * We offer a comprehensive package of benefits including paid vacation time; paid sick leave; medical/dental/vision insurance; life, accident and disability insurance; tax-advantaged flexible spending and health savings accounts; employee assistance program; other voluntary benefit programs such as supplemental life and AD&D, legal plan, pet insurance, critical illness, accident and hospital indemnity; tuition reimbursement; transit; the Applause Program, employee stock purchase plan, and the Sandisk's Savings 401(k) Plan. * Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.", "summaryDescription" : "Consumer Insights Researcher at Sandisk. Skills: Consumer insights, Market research, Quantitative research, Qualitative research. Lead end-to-end primary research projects. Recommend appropriate methodologies", "postedDate" : "2026-06-12T02:56:58.000", "createdAt" : "2026-06-14T18:52:53.192", "lastUpdated" : "2026-06-16T01:35:35.302", "ingestTimestamp" : "2026-06-14T18:52:53.192", "mongoId" : "6a2d6c5874d8ee00a0bdce18", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 95000, "salaryAnnualMax" : 135000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Quantitative research", "Qualitative research", "Statistical testing", "Segmentation analysis", "Advanced analytics", "Consumer insights", "Market research", "Research design", "Data analysis", "Stakeholder consulting", "Business strategy", "Portfolio strategy", "Pricing strategy", "Marketing strategy", "Shopper experience", "Customer understanding", "End-to-end project management", "Consumer behavior", "Market research methodologies", "Pricing research", "Customer experience", "SPSS" ], "skillCount" : 22, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 581.0457, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c70fb74d8ee00a092d242", "title" : "Consumer Insights Researcher", "company" : "Sandisk", "industry" : "Computer Hardware", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for a Mid-level Consumer Insights Researcher in Milpitas, California, adjusted for the technology industry and company size." }, "location" : "Milpitas, CA, United States", "locations" : [ "Milpitas", "CA", "United States" ], "timestamp" : "2026-06-15T07:30:39.714", "fingerprint" : "fcb0a281843298f6c130401cf4ddeedfd6ee0e8bd04ad51fe1950e955802d2cd", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Sandisk/744000131807280-consumer-insights-researcher", "externalId" : "744000131807280", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Milpitas", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.4332273,-121.8989248" } ], "locationText" : "Milpitas, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "mid", "technicalSkills" : "SPSS", "professionalSkills" : [ "Consumer insights", "Market research", "Customer insights", "Portfolio strategy", "Pricing strategy", "Shopper experience", "Customer understanding", "Business outcomes", "Consumer satisfaction", "Research design", "Methodology recommendation", "Data analysis", "Insight development", "Stakeholder consulting", "Business challenges", "Research needs", "Evidence-based decision-making", "Research initiatives", "Knowledge management", "Research standards", "Analytical techniques" ], "hardSkillsList" : [ "Quantitative research", "Qualitative research", "Statistical testing", "Segmentation analyses", "Advanced analytical techniques", "Data cleaning", "Weighting", "Sample management", "Cross-tabulation", "Significance testing", "Regression analysis", "Factor analysis", "Cluster analysis", "Segmentation" ], "hardSkills" : [ { "name" : "Quantitative research", "level" : "intermediate" }, { "name" : "Qualitative research", "level" : "intermediate" }, { "name" : "Statistical testing", "level" : "intermediate" }, { "name" : "Segmentation analyses", "level" : "intermediate" }, { "name" : "Advanced analytical techniques", "level" : "intermediate" }, { "name" : "Data cleaning", "level" : "intermediate" }, { "name" : "Weighting", "level" : "intermediate" }, { "name" : "Sample management", "level" : "intermediate" }, { "name" : "Cross-tabulation", "level" : "intermediate" }, { "name" : "Significance testing", "level" : "intermediate" }, { "name" : "Regression analysis", "level" : "intermediate" }, { "name" : "Factor analysis", "level" : "intermediate" }, { "name" : "Cluster analysis", "level" : "intermediate" }, { "name" : "Segmentation", "level" : "intermediate" } ], "majorSkills" : "Consumer insights, Market research, Quantitative research, Qualitative research", "majorSkillsList" : [ "Consumer insights", "Market research", "Quantitative research", "Qualitative research" ], "coreResponsibilities" : "Lead end-to-end primary research projects, Recommend appropriate methodologies, Design questionnaires, discussion guides, sampling plans, Manage external research vendors, Evaluate research quality, Analyze quantitative and qualitative data, Utilize SPSS to conduct data cleaning, Integrate findings across multiple data sources, Translate research findings into business implications, Identify emerging consumer trends, Partner with product, marketing, sales, strategy, and commercial, Serve as a trusted advisor, Present insights and recommendations to stakeholders, Educate stakeholders on consumer behavior, Manage multiple concurrent research initiatives, Maintain research documentation, Contribute to knowledge management efforts, Support continuous improvement of research standards, Stay current on evolving research methodologies", "teamCollaboration" : "Partner with product teams; Partner with marketing teams; Partner with sales teams; Partner with strategy teams; Partner with commercial teams; Present to leadership audiences", "projectManagementSkills" : [ "End-to-end research projects", "Manage multiple projects" ], "domainKnowledge" : "Consumer behavior; Flash memory technologies; Advanced memory technologies; 4IR innovations; Sustainability Lighthouses; Global supply chain", "domainList" : [ "consumer-behavior", "flash-memory-technologies", "advanced-memory-technologies", "4ir-innovations", "sustainability-lighthouses", "global-supply-chain" ], "domainSpecificKnowledge" : [ "Consumer behavior", "Flash memory technologies", "Advanced memory technologies", "4IR innovations", "Sustainability Lighthouses", "Global supply chain" ], "toolProficiency" : [ "SPSS" ], "communicationSkills" : "Presentation communication; Verbal communication; Written communication", "documentationSkills" : "Research documentation", "continuousLearning" : "Stay current on evolving research methodologies; Stay current on analytical techniques; Stay current on consumer insights best practices", "innovationCreativity" : "Innovate to deliver solutions; Groundbreaking innovations", "problemSolvingSkills" : "Transforming insights into recommendations; Uncover meaningful consumer behaviors; Develop comprehensive consumer understanding; Identify emerging consumer trends; Define research needs", "outcomesObjectives" : "Improve business outcomes; Improve consumer satisfaction", "qualificationsBasic" : "Bachelor's degree in Market Research, Psychology, Sociology, Statistics, Behavioral Science, Marketing, Business, or related field, 4-7 years of experience in consumer insights, market research, customer insights, or related research disciplines, Demonstrated experience independently leading end-to-end primary research projects, Expertise in quantitative and qualitative research methodologies, Advanced proficiency in SPSS, Survey design and questionnaire-writing skills, Experience synthesizing complex datasets into actionable business recommendations, Excellent written, verbal, and presentation communication skills, Ability to manage multiple projects simultaneously in a fast-paced environment", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today’s needs and tomorrow’s next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we’re living in and that we have the power to shape. Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality. Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward. The Consumer Insights Researcher is responsible for leading primary consumer research that drives business decisions across product innovation, portfolio strategy, pricing, marketing, shopper experience, and customer understanding. This role serves as a strategic partner to cross-functional stakeholders by transforming consumer insights into actionable recommendations that improve business outcomes and consumer satisfaction. The ideal candidate is an experienced researcher with strong expertise in both quantitative and qualitative methodologies. They are capable of independently managing end-to-end research projects, applying statistical rigor to data analysis, and effectively communicating insights to stakeholders at multiple levels of the organization. ESSENTIAL DUTIES AND RESPONSIBILITIES: Research Design & Execution * Lead end-to-end primary research projects from business question development through final recommendation. * Recommend appropriate methodologies based on business objectives, including surveys, focus groups, in-depth interviews, concept testing, product testing, segmentation, pricing, shopper, and customer experience research. * Design questionnaires, discussion guides, sampling plans, and research approaches that ensure methodological rigor and actionable outcomes. * Manage external research vendors, fieldwork partners, and sample providers to ensure project quality, timeliness, and budget adherence. * Evaluate research quality and proactively identify risks, limitations, and opportunities for improvement. Analysis & Insight Development * Analyze quantitative and qualitative data to uncover meaningful consumer behaviors, motivations, needs, and market opportunities. * Utilize SPSS to conduct data cleaning, weighting, statistical testing, segmentation analyses, and advanced analytical techniques. * Integrate findings across multiple data sources to develop comprehensive consumer understanding. * Translate research findings into clear business implications and strategic recommendations. * Identify emerging consumer trends and opportunities that can inform future business decisions. Stakeholder Consulting & Influence * Partner with product, marketing, sales, strategy, and commercial teams to understand business challenges and define research needs. * Serve as a trusted advisor by recommending research approaches and guiding stakeholders through interpretation of findings. * Present insights and recommendations to cross-functional stakeholders and leadership audiences. * Educate stakeholders on consumer behavior, research methodologies, and best practices for evidence-based decision-making. Operational Excellence * Manage multiple concurrent research initiatives while balancing speed, quality, and business impact. * Maintain research documentation and contribute to knowledge management efforts across the Consumer Insights organization. * Support continuous improvement of research standards, tools, and processes. * Stay current on evolving research methodologies, analytical techniques, and consumer insights best practices. ## Qualifications * Bachelor's degree in Market Research, Psychology, Sociology, Statistics, Behavioral Science, Marketing, Business, or related field. * 4-7 years of experience in consumer insights, market research, customer insights, or related research disciplines. * Demonstrated experience independently leading end-to-end primary research projects. * Strong expertise in quantitative and qualitative research methodologies. * Advanced proficiency in SPSS, including: * Data cleaning and preparation * Weighting and sample management * Cross-tabulation and significance testing * Regression analysis * Factor analysis * Cluster analysis and segmentation * Strong survey design and questionnaire-writing skills. * Experience synthesizing complex datasets into actionable business recommendations. * Excellent written, verbal, and presentation communication skills. * Ability to manage multiple projects simultaneously in a fast-paced environment. ## Additional Information Sandisk is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person’s gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person’s assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the \"[Know Your Rights: Workplace Discrimination is Illegal](https://www.eeoc.gov/sites/default/files/2023-06/22-088EEOCKnowYourRights6.12.pdf)” poster. Our pay transparency policy is available [here](https://www.dol.gov/sites/dolgov/files/OFCCP/pdf/pay-transp%20EnglishformattedESQA508c.pdf). Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [jobs.accommodations@sandisk.com](mailto:jobs.accommodations@sandisk.com) to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Based on our experience, we anticipate that the application deadline will be 09/11/2026 (3 months from posting), although we reserve the right to close the application process sooner if we hire an applicant for this position before the application deadline. If we are not able to hire someone from this role before the application deadline, we will update this posting with a new anticipated application deadline. #LI-KH1 Compensation & Benefits Details * An employee’s pay position within the salary range may be based on several factors including but not limited to (1) relevant education; qualifications; certifications; and experience; (2) skills, ability, knowledge of the job; (3) performance, contribution and results; (4) geographic location; (5) shift; (6) internal and external equity; and (7) business and organizational needs. * The salary range is what we believe to be the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range and this range is only applicable for jobs to be performed in California, Colorado, New York or remote jobs that can be performed in California, Colorado and New York. This range may be modified in the future. * You will be eligible to participate in Sandisk's Short-Term Incentive (STI) Plan, which provides incentive awards based on Company and individual performance. Depending on your role and your performance, you may be eligible to participate in our annual Long-Term Incentive (LTI) program, which consists of restricted stock units (RSUs) or cash equivalents, pursuant to the terms of the LTI plan. Please note that not all roles are eligible to participate in the LTI program, and not all roles are eligible for equity under the LTI plan. RSU awards are also available to eligible new hires, subject to Sandisk's Standard Terms and Conditions for Restricted Stock Unit Awards. * We offer a comprehensive package of benefits including paid vacation time; paid sick leave; medical/dental/vision insurance; life, accident and disability insurance; tax-advantaged flexible spending and health savings accounts; employee assistance program; other voluntary benefit programs such as supplemental life and AD&D, legal plan, pet insurance, critical illness, accident and hospital indemnity; tuition reimbursement; transit; the Applause Program, employee stock purchase plan, and the Sandisk's Savings 401(k) Plan. * Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.", "summaryDescription" : "Consumer Insights Researcher at Sandisk. Skills: Consumer insights, Market research, Quantitative research, Qualitative research. Lead end-to-end primary research projects. Recommend appropriate methodologies", "postedDate" : "2026-06-12T02:56:58.000", "createdAt" : "2026-06-13T16:46:08.794", "lastUpdated" : "2026-06-15T07:30:39.714", "ingestTimestamp" : "2026-06-13T16:46:08.794", "mongoId" : "6a2c70fb74d8ee00a092d242", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 95000, "salaryAnnualMax" : 135000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Quantitative research", "Qualitative research", "Statistical testing", "Segmentation analyses", "Advanced analytical techniques", "Data cleaning", "Weighting", "Sample management", "Cross-tabulation", "Significance testing", "Regression analysis", "Factor analysis", "Cluster analysis", "Segmentation", "Consumer insights", "Market research", "Customer insights", "Portfolio strategy", "Pricing strategy", "Shopper experience", "Customer understanding", "Business outcomes", "Consumer satisfaction", "Research design", "Methodology recommendation", "Data analysis", "Insight development", "Stakeholder consulting", "Business challenges", "Research needs", "Evidence-based decision-making", "Research initiatives", "Knowledge management", "Research standards", "Analytical techniques", "End-to-end research projects", "Manage multiple projects", "Consumer behavior", "Flash memory technologies", "Advanced memory technologies", "4IR innovations", "Sustainability Lighthouses", "Global supply chain", "SPSS" ], "skillCount" : 44, "jobCategory" : "research", "jobSubcategory" : "research", "dataQualityScore" : 1.0, "_score" : 581.0457, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a0de17858b93c861eb7984b", "title" : "Principal Insights Analyst", "company" : "Plexure", "industry" : "Technology", "salary" : { "min" : 145000.0, "max" : 210000.0, "currency" : "NZD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Principal Insights Analyst in Auckland, New Zealand, adjusted for lead seniority in the technology industry." }, "location" : "Auckland, NZ", "locations" : [ "Auckland", "NZ" ], "timestamp" : "2026-06-16T01:13:58.171", "fingerprint" : "e2203d7ffde01fcb7e930863eff20593bc09c5ebaaf2a5322294f62ae1e394de", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://plexure.breezy.hr/p/e3c344ba9d4a-principal-insights-analyst", "externalId" : "e3c344ba9d4a", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Auckland", "country" : "New Zealand", "continent" : "oc", "source" : "llm", "workMode" : "onsite", "geo" : "-36.8520950,174.7631803" } ], "locationText" : "Auckland, New Zealand", "employmentType" : "FULL_TIME", "rawDescription" : "We", "summaryDescription" : "Principal Insights Analyst at Plexure", "createdAt" : "2026-06-14T20:31:28.409", "lastUpdated" : "2026-06-16T01:13:58.171", "ingestTimestamp" : "2026-06-14T20:31:28.409", "mongoId" : "6a0de17858b93c861eb7984b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Lead", "dataQualityScore" : 0.6666667, "_score" : 578.54663, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "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, "_score" : 577.86053, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true } ], "status" : 200, "message" : "OK", "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 40933, "totalPages" : 819, "hasNext" : true, "hasPrevious" : false } }

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