{ "count" : 50658, "data" : [ { "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, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Non-Profit", "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. 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Customer Sales", "postedDate" : "2026-06-16T01:49:20.394", "createdAt" : "2026-06-16T01:49:20.394", "lastUpdated" : "2026-06-16T12:48:19.544", "ingestTimestamp" : "2026-06-16T01:49:20.394", "mongoId" : "6a307f8af292fd229c05a7f3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Manager", "dataQualityScore" : 0.5555556, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustryConfidence" : 0.9 }, { "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" : "fc6ba82f-ae7e-4f6c-b23e-cceb9f318a4e", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 6, "experienceLevel" : "Manager", "technicalSkills" : "Excel, PowerPoint, Word", "professionalSkills" : [ "Market research", "Commercial analytics", "Competitive intelligence", "Qualitative research", "Quantitative research", "Data synthesis", "Business decision-making", "Strategic recommendations", "Resource management" ], "hardSkillsList" : [ "Message testing", "Customer journey analysis", "Brand performance tracking", "Vendor selection", "Timeline management", "Budget management", "Trend identification" ], "hardSkills" : [ { "name" : "Message testing", "level" : "intermediate" }, { "name" : "Customer journey analysis", "level" : "intermediate" }, { "name" : "Brand performance tracking", "level" : "intermediate" }, { "name" : "Vendor selection", "level" : "intermediate" }, { "name" : "Timeline management", "level" : "intermediate" }, { "name" : "Budget management", "level" : "intermediate" }, { "name" : "Trend identification", "level" : "intermediate" } ], "majorSkills" : "Market research, Data analysis, Insight generation", "majorSkillsList" : [ "Market research", "Data analysis", "Insight generation" ], "coreResponsibilities" : "Design primary market research initiatives, Lead primary market research initiatives, Manage end-to-end research projects, Select vendors, Oversee execution, Manage timelines, Manage budgets, Communicate progress to leadership, Leverage secondary data sources, Identify market trends, Support business decision-making, Integrate primary research findings, Generate actionable insights, Generate strategic recommendations, Collaborate with cross-functional stakeholders, Define research priorities, Address ad hoc analytical needs, Evaluate new research methodologies, Introduce new research methodologies, Enhance insight generation, Enhance analytical capabilities, Contribute to annual planning, Contribute to budget allocation, Ensure effective resource management", "teamCollaboration" : "Cross-functional stakeholders; Marketing; Sales; Market Access; Insights teams", "projectManagementSkills" : [ "Vendor management", "Timeline management", "Budget management" ], "domainKnowledge" : "Biopharmaceutical environments; Biotechnology environments; Healthcare data sources; Claims data; Promotional data; Prescription data", "domainList" : [ "biopharmaceutical-environments", "biotechnology-environments", "healthcare-data-sources", "claims-data", "promotional-data", "prescription-data" ], "domainSpecificKnowledge" : [ "Biopharmaceutical environments", "Biotechnology environments", "Healthcare data sources", "Claims data", "Promotional data", "Prescription data" ], "toolProficiency" : [ "Excel", "PowerPoint", "Word" ], "communicationSkills" : "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. Lead primary market research initiatives", "postedDate" : "2026-06-15T10:10:06.604", "createdAt" : "2026-06-15T10:10:06.604", "lastUpdated" : "2026-06-16T13:45:38.605", "ingestTimestamp" : "2026-06-16T03:23:38.625", "mongoId" : "6a305119f292fd229cef9cda", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 116000, "salaryAnnualMax" : 151000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Message testing", "Customer journey analysis", "Brand performance tracking", "Vendor selection", "Timeline management", "Budget management", "Trend identification", "Market research", "Data analysis", "Insight generation", "Commercial analytics", "Competitive intelligence", "Qualitative research", "Quantitative research", "Data synthesis", "Business decision-making", "Strategic recommendations", "Resource management", "Vendor management", "Biopharmaceutical environments", "Biotechnology environments", "Healthcare data sources", "Claims data", "Promotional data", "Prescription data", "Excel", "PowerPoint", "Word" ], "skillCount" : 28, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.97 }, { "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. 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intelligence", "Product strategy", "Go-to-market execution", "Customer insights", "Market research", "Analyst relations", "Competitive intelligence", "Insight generation", "Strategic recommendations" ], "hardSkillsList" : [ "Qualitative research", "Quantitative research", "Win-loss analysis", "Surveys", "Advisory boards", "Market studies", "Competitive analysis", "Strategic planning" ], "softSkillsList" : [ "Leadership", "Mentoring", "Critical thinking" ], "hardSkills" : [ { "name" : "Qualitative research", "level" : "intermediate" }, { "name" : "Quantitative research", "level" : "intermediate" }, { "name" : "Win-loss analysis", "level" : "intermediate" }, { "name" : "Surveys", "level" : "intermediate" }, { "name" : "Advisory boards", "level" : "intermediate" }, { "name" : "Market studies", "level" : "intermediate" }, { "name" : "Competitive analysis", "level" : "intermediate" }, { "name" : "Strategic planning", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" }, { "name" : "Critical thinking" } ], "majorSkills" : "Customer Insights, Market Intelligence, Analyst Relations", "majorSkillsList" : [ "Customer Insights", "Market Intelligence", "Analyst Relations" ], "coreResponsibilities" : "Build Voice of the Market Program, Scale Voice of the Market strategy, Capture customer insights, Capture prospect insights, Capture partner insights, Capture analyst insights, Capture industry insights, Develop feedback collection approaches, Synthesize customer feedback, Operationalize customer feedback, Create repeatable programs, Influence product strategy, Influence positioning, Influence messaging, Influence GTM priorities, Serve as expert on customer needs, Serve as expert on buying behavior, Serve as expert on market trends, Serve as expert on emerging opportunities, Own customer insights research, Design qualitative research programs, Execute qualitative research programs, Design quantitative research programs, Execute quantitative research programs, Conduct customer interviews, Conduct win-loss analysis, Conduct surveys, Conduct advisory boards, Conduct market studies, Identify evolving customer needs, Identify unmet opportunities, Develop customer segmentation, Develop buyer insights, Develop market understanding, Translate research findings, Provide actionable recommendations, Lead analyst relations, Develop analyst relations strategy, Build analyst relationships, Manage analyst briefings, Manage analyst inquiries, Manage analyst reports, Manage strategic engagements, Incorporate analyst perspectives, Maximize analyst coverage, Drive competitive intelligence strategy, Own competitive intelligence program, Lead competitive intelligence execution, Build competitor tracking systems, Track competitor strategy, Track competitor product launches, Track competitor messaging, Track competitor pricing, Track competitor partnerships, Track competitor market movements, Deliver competitive insights, Inform sales enablement, Inform product roadmap decisions, Inform executive planning, Develop competitive assessments, Develop strategic recommendations, Build AI-powered market intelligence function, Leverage AI tools, Automate insight collection, Automate insight analysis, Automate insight synthesis, Automate insight reporting, Create scalable systems, Transform customer conversations, Transform analyst feedback, Transform market research, Transform competitive signals, Develop modern programs", "teamCollaboration" : "Connect Product Marketing; Connect Product; Connect Sales; Connect Customer Success; Connect Executive Leadership; Partner with Product; Partner with Customer Success; Partner with Sales; Partner with Communications; Partner with Marketing; Partner with Operations; Partner with Revenue teams", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "AI marketing; 1:1 personalization; SMS marketing; RCS marketing; Email marketing; Push notifications; Customer relationships; B2B SaaS; Commerce; Marketing technology; Enterprise software", "domainList" : [ "ai-marketing", "1-1-personalization", "sms-marketing", "rcs-marketing", "email-marketing", "push-notifications", "customer-relationships", "b2b-saas", "commerce", "marketing-technology", "enterprise-software" ], "domainSpecificKnowledge" : [ "AI marketing", "1:1 personalization", "SMS marketing", "RCS marketing", "Email marketing", "Push notifications", "Customer relationships", "B2B SaaS", "Commerce", "Marketing technology", "Enterprise software" ], "toolProficiency" : [ "Gong", "Claude", "ChatGPT" ], "communicationSkills" : "Executive presentations; Storytelling", "problemSolvingSkills" : "Analytical skills; Strategic recommendations", "qualificationsBasic" : "Voice of the Market function leadership, Customer needs understanding, Market dynamics translation, Product strategy informing, Go-to-market execution, Customer feedback synthesis, Customer feedback operationalization, Customer needs identification, Market trends identification, Emerging opportunities identification, Analyst relations strategy development, Analyst relationships building, Analyst briefings management, Analyst inquiries management, Analyst reports management, Analyst engagements management, Competitive intelligence vision, Competitive intelligence program leadership, Competitor tracking systems building, AI-powered market intelligence function building", "qualificationsPreferred" : "B2B SaaS experience, Commerce experience, Marketing technology experience, Enterprise software experience, Category creation background, Market development background, Thought leadership initiatives background, Modern research platforms familiarity, Intelligence platforms familiarity, Analytics platforms familiarity, Executive team support experience, Board-level discussions support, Strategic planning processes support", "remoteFriendly" : true, "rawDescription" : "Attentive® is the AI marketing platform for 1:1 personalization redefining the way brands and people connect. We’re the only marketing platform that combines powerful technology with human expertise to build authentic customer relationships. By unifying SMS, RCS, email, and push notifications, our AI-powered personalization engine delivers bespoke experiences that drive performance, revenue, and loyalty through real-time behavioral insights. Recognized as the #1 provider in SMS Marketing by G2, Attentive partners with more than 8,000 customers across 70+ industries. Leading global brands like Crate and Barrel, Urban Outfitters, and Carter’s work with us to enable billions of interactions that power tens of billions in revenue for our customers. With a distributed global workforce and employee hubs in New York City, San Francisco, London, and Sydney, Attentive’s team has been consistently recognized for its performance and culture. We’re proud to be included in Deloitte’s Fast 500 (four years running!), LinkedIn’s Top Startups, Forbes’ Cloud 100 (five years running!), Inc.’s Best Workplaces, and the Human Rights Campaign Foundation's Corporate Equality Index! About the Role We are seeking a strategic and analytically minded Director of Product Marketing, Customer & Market Insights to build and lead our Voice of the Market function. This leader will own the programs, processes, and intelligence systems that help us deeply understand customers, competitors, analysts, and market dynamics—and translate those insights into winning positioning, messaging, thought leadership, product strategy, and go-to-market execution. This role will serve as the connective tissue between Product Marketing, Product, Sales, Customer Success, and Executive Leadership, ensuring that decisions are informed by real customer needs and evolving market conditions. The ideal candidate combines traditional market intelligence expertise with a modern AI-first approach, leveraging technologies such as Gong, Claude, ChatGPT, and other AI-powered research tools to scale insight generation and uncover strategic opportunities. This role will initially manage one direct report, a Senior Product Marketing Manager focused on Competitive Intelligence, with the opportunity to build a broader insights organization over time. What You’ll Accomplish Build and Lead the Voice of the Market Program Establish and scale a company-wide Voice of the Market strategy that captures customer, prospect, partner, analyst, and industry insights. Develop systematic approaches to collecting, synthesizing, and operationalizing customer feedback. Create repeatable programs that ensure customer and market insights directly influence product strategy, positioning, messaging, and GTM priorities. Serve as the organization's expert on customer needs, buying behavior, market trends, and emerging opportunities. Own Customer Insights and Research Design and execute qualitative and quantitative research programs, including customer interviews, win/loss analysis, surveys, advisory boards, and market studies. Partner with Product, Customer Success, and Sales to identify evolving customer needs and unmet opportunities. Develop customer segmentation, buyer insights, and market understanding that inform product and GTM strategy. Translate research findings into actionable recommendations for executives and cross-functional stakeholders. Lead Analyst Relations Develop and execute the company's analyst relations strategy. Build trusted relationships with key industry analysts and influencers. Manage analyst briefings, inquiries, reports, and strategic engagements. Ensure analyst perspectives are incorporated into product strategy, positioning, and executive planning. Partner with Communications and Marketing to maximize analyst coverage and market credibility. Drive Competitive Intelligence Strategy Own the overall competitive intelligence vision and program. Lead and mentor the Senior PMM responsible for day-to-day competitive intelligence execution. Build scalable systems for tracking competitor strategy, product launches, messaging, pricing, partnerships, and market movements. Deliver competitive insights that inform sales enablement, product roadmap decisions, and executive planning. Develop executive-ready competitive assessments and strategic recommendations. Build an AI-Powered Market Intelligence Function Leverage AI tools such as Gong, Claude, ChatGPT, and emerging technologies to automate insight collection, analysis, synthesis, and reporting. Create scalable systems that transform customer conversations, analyst feedback, market research, and competitive signals into actionable intelligence. Partner with Operations and Revenue teams to develop modern workflows that surface insights in real time. Continuously evaluate new technologies and methodologies to increase the speed and quality of market intelligence. Influence Positioning, Messaging, and Thought Leadership Partner with Product Marketing leaders to translate market insights into differentiated positioning and messaging. Identify emerging trends and market shifts that create opportunities for thought leadership. Help shape executive narratives, category creation strategies, and market education efforts. Provide insight-driven recommendations that strengthen the company's market position and competitive advantage. Your Expertise 10+ years of experience in Product Marketing, Market Intelligence, Competitive Intelligence, Analyst Relations, Strategy, or related disciplines. Proven experience building customer insights, market intelligence, or Voice of the Customer/Market programs from the ground up. Strong background in analyst relations and managing relationships with industry analysts. Experience leading competitive intelligence initiatives that drive measurable business impact. Demonstrated success influencing executive decision-making through research and strategic insights. Experience managing and developing high-performing team members. Exceptional communication, storytelling, and executive presentation skills. Strong analytical skills with the ability to connect disparate signals into strategic recommendations. Hands-on experience using AI-powered tools such as Gong, Claude, ChatGPT, and related technologies to accelerate research and insight generation. Ability to thrive in fast-paced, high-growth environments. Preferred Qualifications Experience in B2B SaaS, commerce, marketing technology, or enterprise software. Background in category creation, market development, or thought leadership initiatives. Familiarity with modern research, intelligence, and analytics platforms. Experience supporting executive teams, board-level discussions, and strategic planning processes. You'll get competitive perks and benefits, from health & wellness to equity, to help you bring your best self to work. For US based applicants: The US base salary range for this full-time position is $180,000 - $210,000 annually + equity + benefits Our salary ranges are determined by role, level and location #LI-MM1 By applying for this position, your data will be processed as per Attentive's Privacy Policy. Attentive Company Values Default to Action - Move swiftly and with purpose Be One Unstoppable Team - Rally as each other’s champions Champion the Customer - Our success is defined by our customers' success Act Like an Owner - Take responsibility for Attentive’s success Learn more about AWAKE, Attentive’s collective of employee resource groups. If you do not meet all the requirements listed here, we still encourage you to apply! No job description is perfect, and we may also have another opportunity that closely matches your skills and experience. At Attentive, we know that our Company's strength lies in the diversity of our employees. Attentive is an Equal Opportunity Employer and we welcome applicants from all backgrounds. Our policy is to provide equal employment opportunities for all employees, applicants and covered individuals regardless of protected characteristics. We prioritize and maintain a fair, inclusive and equitable workplace free from discrimination, harassment, and retaliation. Attentive is also committed to providing reasonable accommodations for candidates with disabilities. If you need any assistance or reasonable accommodations, please let your recruiter know.", "summaryDescription" : "Director, Product Marketing - Customer & Market Insights at Attentive. Skills: Customer Insights, Market Intelligence, Analyst Relations. Build Voice of the Market Program. Scale Voice of the Market strategy", "postedDate" : "2026-06-14T03:48:29.297", "createdAt" : "2026-06-14T03:48:29.297", "lastUpdated" : "2026-06-15T12:05:03.578", "ingestTimestamp" : "2026-06-14T03:48:29.297", "mongoId" : "6a2c92b974d8ee00a0986682", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 210000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Qualitative research", "Quantitative research", "Win-loss analysis", "Surveys", "Advisory boards", "Market studies", "Competitive analysis", "Strategic planning", "Leadership", "Mentoring", "Critical thinking", "Customer Insights", "Market Intelligence", "Analyst Relations", "Market intelligence", "Product strategy", "Go-to-market execution", "Customer insights", "Market research", "Analyst relations", "Competitive intelligence", "Insight generation", "Strategic recommendations", "Roadmap planning", "AI marketing", "1:1 personalization", "SMS marketing", "RCS marketing", "Email marketing", "Push notifications", "Customer relationships", "B2B SaaS", "Commerce", "Marketing technology", "Enterprise software", "Gong", "Claude", "ChatGPT" ], "skillCount" : 38, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.97 }, { "id" : "6a306afff292fd229cfceb63", "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" : "2026-06-16T09:18:42.965", "fingerprint" : "afaa085e21ddbf0c4130a3767da4a46bd58a9db2da6ebd7e96afc025017dff0f", "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, 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", "professionalSkills" : [ "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Data engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Data analysis", "Data engineering", "Machine learning", "Business intelligence", "Statistical modeling", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Business intelligence", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data analytics, Machine learning, Business intelligence, Data engineering", "majorSkillsList" : [ "Data analytics", "Machine learning", "Business intelligence", "Data engineering" ], "coreResponsibilities" : "Develop and maintain data pipelines, Build and optimize data models, Design and implement BI solutions, Perform statistical analysis, Develop and deploy machine learning models, Collaborate with stakeholders to understand data needs, Communicate insights and recommendations, Ensure data quality and integrity", "teamCollaboration" : "Cross-functional teams; 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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, "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; Stakeholders", "domainKnowledge" : "Data warehousing; Cloud data stacks; ML frameworks; BI platforms; Statistical modelling", "domainList" : [ "data-warehousing", "cloud-data-stacks", "ml-frameworks", "bi-platforms", "statistical-modelling" ], "domainSpecificKnowledge" : [ "Data warehousing", "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical modelling" ], "toolProficiency" : [ "SQL", "Python", "R", "Spark", "Dbt", "Snowflake", "BigQuery", "Redshift", "Databricks", "Airflow", "Tableau", "Power BI", "Looker", "Scikit-learn", "TensorFlow", "PyTorch" ], "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "5+ years of experience in analytics or data science, Proficiency in SQL, Experience with Python or R, Experience with data visualization tools", "qualificationsPreferred" : "Master's degree in a quantitative field, Experience with cloud platforms (AWS, GCP, Azure), Experience with ML frameworks (scikit-learn, TensorFlow, PyTorch), Experience with data warehousing solutions (Snowflake, BigQuery, Redshift), Experience with BI platforms (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 Science, Data Engineering, Machine Learning, Business Intelligence. Develop and maintain data pipelines. 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, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cc34474d8ee00a0a08de7", "title" : "Product Marketing Manager, Competitive & Market Intelligence", "company" : "Owner", "industry" : "Marketing & Media", "salary" : { "min" : 135000.0, "max" : 165000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Remote - United States", "locations" : [ "Remote - United States", "Remote - Canada" ], "timestamp" : "2026-06-16T00:31:26.590", "fingerprint" : "f9dface505d45fa76341c13a8f02511f80afe8f65d74f878c340f674a948e085", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/owner/e3fef65b-10fe-41e3-b1b4-b7b4758a103f/application", "externalId" : "e3fef65b-10fe-41e3-b1b4-b7b4758a103f", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "professionalSkills" : [ "Market intelligence", "Sales enablement", "Market research", "Competitive analysis", "Strategic recommendations", "Positioning decisions" ], "hardSkillsList" : [ "Win/loss analysis", "Data analysis", "Qualitative analysis", "Quantitative analysis" ], "hardSkills" : [ { "name" : "Win/loss analysis", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Qualitative analysis", "level" : "intermediate" }, { "name" : "Quantitative analysis", "level" : "intermediate" } ], "majorSkills" : "Competitive intelligence, Market insights, Product marketing, Sales enablement", "majorSkillsList" : [ "Competitive intelligence", "Market insights", "Product marketing", "Sales enablement" ], "coreResponsibilities" : "Build competitive intel system, Run competitive intel system, Gather real proof, Turn intel into points of view, Give crisp guidance, Build market intel system, Run market intel system, Ship monthly update, Own win/loss view, Turn intel into deal enablement, Create battlecards, Create objection handling, Create competitive frames, Run trainings, Run enablement sessions, Run recurring market research, Maintain proof points backlog, Drive evidence collection", "teamCollaboration" : "Sales and Sales Enablement; RevOpsizOps; Product", "domainKnowledge" : "AI upside", "domainList" : [ "ai-upside" ], "domainSpecificKnowledge" : [ "AI upside" ], "communicationSkills" : "Deal-ready enablement; Crisp guidance", "documentationSkills" : "Battlecards; Objection handling", "problemSolvingSkills" : "Root cause analysis", "outcomesObjectives" : "Drive more direct orders; Drive more profit", "qualificationsBasic" : "5+ years in Product Marketing, 5+ years competitive intelligence, 5+ years market insights, Proven SaaS marketing experience, Created competitive narratives, Created sales enablement tools, Run repeatable intel cadence, Work with RevOpsizOps, Write with precision", "qualificationsPreferred" : "AI upside obsession", "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 a performant product that restaurant owners love. (Check out our reviews https://www.g2.com/products/owner-com/reviews?utf8=%E2%9C%93&order=most_recent!) The best way to sell Owner isn’t a feature checklist—it’s proof. Restaurant owners don’t want tech jargon. They want a clear, simple case for how Owner will drive more direct orders and more profit. Our market moves fast. Leading competitors change pricing, packaging, and positioning all the time. New plays show up in deals before they show up anywhere else. If we’re late, we end up reacting instead of leading the conversation. That’s where you come in. You’ll build and run our competitive and market intelligence system. You’ll gather real proof (quant + qual), turn it into clear points of view, and give customer-facing teams crisp guidance they can use to win deals. This role is fully remote and can be based out of the United States or Canada. The impact you’ll have - Build and run a competitive + market intel cadence with a proof-backed source of truth. - Ship a monthly “what changed” update that’s evidence-based and easy to learn from. - Partner with RevOps to own a clean win/loss-by-competitor view. E.g., dashboard + monthly readout for leaders. - Turn intel into deal-ready enablement: battlecards, objection handling, and a small set of durable competitive frames that show up on calls. - Run trainings and live enablement sessions that actually change how Sales talks about our product. - Run recurring market research so our messaging stays grounded in what restaurants care about. - Maintain a living “proof points” backlog and drive collection of the evidence we need to win competitive arguments. Who you’ll work with - This role reports to our Director of Product Marketing - Sales and Sales Enablement (your primary partners) - RevOps/BizOps (data, dashboards, definitions) - Product (market signal → positioning and build decisions) What we’re looking for - 5+ years in Product Marketing with a focus in competitive intelligent and market insights. - Proven SaaS marketing experience in product marketing, competitive/market intelligence, sales enablement, or a closely related role. - You’ve created competitive narratives and tools that changed what reps said in deals. - You can run a repeatable intel cadence (capture → analyze → publish → train → refresh) and keep it alive. - You can work with RevOps/BizOps to make win/loss real: clean definitions, usable dashboards, and trusted readouts. - You write with precision: short, specific, and built for a rep mid-call. - You’re comfortable being “the person who knows”: you chase proof, you call issues early, and you push for a response. - You’re obsessed with AI upside. You currently use AI to move faster without sacrificing accuracy. Interview Process Recruiter Screen — 30-minute phone call to align on your background, what you're looking for, and answer any early questions Hiring Manager Screen — 45-minute video interview with the hiring manager to go deeper on your experience, strategic thinking, and how you partner cross-functionally Case Study — A high-level exercise focused on how you approach market research, competitive analysis, and strategic recommendations Paid Project — A compensated project that gives you an opportunity to work through a real-world problem similar to what you’d tackle in the role Marketing Leadership Interview — Video interview with senior marketing leaders covering your skills, approach, how you'd show up in the role, and cross-functional collaboration Final Round — 30-minute conversation with a C-suite executive to discuss vision, team fit, and long-term impact in the role Pay and benefits - The estimated base salary range for this role is $135,000 - $165,000 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" : "Product Marketing Manager, Competitive & Market Intelligence at Owner. Skills: Competitive intelligence, Market insights, Product marketing, Sales enablement. Build competitive intel system. 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Manage customer onboarding. Drive customer adoption", "postedDate" : "2026-06-16T01:47:59.928", "createdAt" : "2026-06-16T01:47:59.928", "lastUpdated" : "2026-06-16T11:31:44.250", "ingestTimestamp" : "2026-06-16T01:47:59.928", "mongoId" : "6a210e4d74d8ee00a0af6c70", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "sales", "jobSubcategory" : "customer_success", "seniorityLevel" : "Mid", "dataQualityScore" : 0.44444445, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "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. 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Product teams; Engineering teams; Finance teams; Operations teams", "projectManagementSkills" : [ "Program management", "Project management", "Change management" ], "domainKnowledge" : "Customer support operations; Contact center environments; Consumer electronics; Smart home technology; Subscription services", "domainList" : [ "customer-support-operations", "contact-center-environments", "consumer-electronics", "smart-home-technology", "subscription-services" ], "domainSpecificKnowledge" : [ "Customer support operations", "Contact center environments", "Consumer electronics", "Smart home technology", "Subscription services" ], "toolProficiency" : [ "Amazon Quick Suite", "Bedrock", "PartyRock", "JIRA", "Confluence", "Asana" ], "communicationSkills" : "Executive presentations; Reporting", "documentationSkills" : "Documentation development", "innovationCreativity" : "AI innovation", "problemSolvingSkills" : "Root cause analysis; Data-driven decision making", "outcomesObjectives" : "Reduce friction; Elevate customer experience; Improve efficiency; Reduce delivery timelines", "qualificationsBasic" : "3+ years program/project management, Cross-functional tech/non-tech teams, Use data/metrics for improvements, Apply AI tools to workflows, Analyze operational/business data, Design/implement AI-enabled SOPs, Partner with cross-functional teams, Lead process transitions, Written/verbal communication skills, Present program status to leadership", "qualificationsPreferred" : "Pilot AI-assisted workflows, Business operations background, Define/track operational KPIs, Familiarity with consumer electronics, Lean/Six Sigma experience, Influence senior stakeholders, Assess resource trade-offs, Manage program goals with AI tracking", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Ring and Blink teams are making neighborhoods safer with innovative security products and services — from the Doorbells and Cameras to endless features accessed in the App’s. The Ring and Blink Customer Support teams help bring this mission to life every day by supporting our neighbors at every point in their journey with us. The Customer Experience & Insights Team (CEIT) is pioneering AI-driven customer experience transformation. We leverage artificial intelligence, machine learning, and automation to identify and resolve root causes of customer contacts at scale — from purchase and first product setup, to subscribing to a Protect Plan, and everything in between. By combining AI-powered insights with strategic execution, CEIT drives meaningful improvements that reduce friction and elevate the overall customer experience. As a Program Manager on CEIT, you will be an AI-forward practitioner who sits at the intersection of artificial intelligence, customer insights, and cross-functional execution. This role is responsible for designing and driving resolution of customer contact drivers and pain points through AI-powered data intelligence, machine learning-assisted workflows, scalable automation frameworks, and strategic stakeholder management. You will leverage generative AI tools daily to accelerate decision-making, surface hidden patterns in customer data, and build intelligent workflows that scale across the organization. Your tactical execution and AI-enabled cross-functional collaboration will directly impact Ring and Blink's ability to deliver an exceptional customer experience — at scale. Key job responsibilities AI Strategy & Innovation: Leverage generative AI tools (Amazon Quick Suite, Bedrock, PartyRock) daily to identify root causes, surface insights, and accelerate decision-making. Develop AI-assisted workflows and intelligent automation that scale organization-wide as best practices. Apply machine learning to analyze customer contact data at scale, identifying defects and patterns impossible to detect manually. Pioneer new AI applications within CEIT and contribute to team AI strategy development. Train cross-functional partners on AI adoption and champion AI-forward problem-solving. Stay current on emerging AI/ML technologies to enhance operational efficiency and customer experience Program Management & Execution: Manage small-to-medium programs and complex cross-team projects with limited oversight. Analyze operational data to identify trends, root causes, and improvement opportunities. Drive continuous improvement by identifying inefficiencies, defects, and customer pain points. Define program requirements, mobilize teams, and drive goal achievement. Design scalable SOPs, intake workflows, and program frameworks. Optimize cross-team processes to improve efficiency and delivery timelines. Implement change management strategies and measure performance using KPIs. Balance time, quality, and resource trade-offs while identifying risks and escalating appropriately. Mentor junior team members and build team AI capability through hands-on training. Stakeholder Engagement & Communication: Partner with cross-functional teams (Product, Engineering, Finance, Operations) to align priorities. Prepare executive-level analytics and reporting weekly and monthly for VP and C-suite stakeholders. Lead stakeholders through process transitions with training and documentation. Communicate program status, risks, and decisions to leaders up to three tiers above level. Facilitate meetings, working sessions, and decision-making forums. Build cross-functional partnerships to amplify program impact. Track, analyze, and optimize performance against established goals. Basic Qualifications: - 3+ years of program or project management experience - Experience working cross functionally with tech and non-tech teams - Experience using data and metrics to determine and drive improvements - Hands-on experience applying AI tools (e.g., generative AI, machine learning platforms, automation software) to operational workflows, reporting, or decision-making processes with measurable efficiency gains - Demonstrated ability to analyze operational and business performance data (e.g., KPIs, SLAs, cost metrics) to identify trends, surface root causes, and develop actionable recommendations - Proven experience designing, documenting, and implementing AI-enabled SOPs, intelligent intake workflows, and automated operational frameworks that improve efficiency and reduce friction - Track record of partnering with cross-functional teams (Finance, Product, Engineering, Operations) to align on priorities and drive program outcomes without direct authority - Experience leading teams and stakeholders through process transitions, including training development, documentation, and adoption tracking - Strong written and verbal communication skills with demonstrated ability to present program status, risks, and recommendations to senior leadership (3+ tiers above level) - Proficiency with AI-enhanced project management tools such as JIRA, Confluence, Asana, or equivalent platforms for tracking milestones, dependencies, and deliverables Preferred Qualifications: - Experience contributing to or piloting AI-assisted workflows, automation initiatives, or emerging technology adoption within an operations context - Background in business operations, customer support operations, or contact center environments with measurable impact on efficiency or cost reduction - Metrics & AI-Powered Experience defining and tracking operational KPIs using AI-generated dashboards, machine learning insights, and adjusting programs based on predictive analytics - Familiarity with consumer electronics, smart home technology, subscription services, or similar high-volume customer-facing businesses leveraging AI for customer experience improvement - Exposure to Lean, Six Sigma, or similar continuous improvement methodologies combined with AI/automation applications in business operations - Demonstrated ability to influence senior stakeholders and drive alignment across technical and non-technical audiences in ambiguous, fast-paced environments - Ability to assess resource trade-offs, identify cost-saving opportunities, and communicate financial impact of operational decisions to leadership - Experience managing program goals with AI-powered tracking and delivering weekly/monthly reporting to VP/CEO level stakeholders Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, Hawthorne - 74,200.00 - 129,800.00 USD annually", "summaryDescription" : "Program Manager, Customer Experience and Insights Team at Amazon.com Services LLC. Skills: AI-powered insights, Cross-functional execution, Customer experience transformation. Leverage generative AI tools daily. 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We power more than 300,000 websites globally for organizations including Google, Princeton, Salesloft, Clorox, and the United Nations. Every day, thousands of developers and marketers use our WebOps platform to build, iterate, and scale WordPress, Drupal, and Next.js sites that reach billions of people worldwide. As an employer, we operate with the same philosophy that drives our product: foundation and freedom. Pantheon is a vibrant, remote-forward team of experts who care deeply about their craft and results. Here, you take ownership of work that matters, contribute alongside exceptional people, and see the impact you create. The Role The Pantheon Customer Insights Team is looking for a Software Engineer to build the next generation of customer-facing observability features. In this role, you will create backend systems that transform raw observability data from platforms like New Relic, Grafana, and Cloudflare into clear, actionable insights surfaced directly in our product. You'll work on Portfolio Insights, OpenTelemetry exploration, and product analytics capabilities. This is product engineering work; you're building features customers interact with daily, not internal tooling. You will work primarily in Go, with Python and SQL for data work. What you Need to Succeed Comfort with ambiguity; you'll be defining what \"meaningful insights\" means to customers. Pragmatic approach to balancing performance, cost, and delivery speed. Care about what users see, not just APIs. Good collaboration skills to work with product, design, and cross-functional teams. Desire to learn observability concepts on the job (we have domain experts on the team to teach you). What you Bring to the Table 3+ years of experience building production services and features. Go experience is a plus (or similar systems language). Comfortable working in React and TypeScript and GraphQL. Comfort with BigQuery/SQL and with Python for data work. Experience with observability platforms (New Relic, Grafana, Datadog) Experience with RESTful APIs and distributed systems. What We Offer We have all the usual perks and benefits but what we can really offer you is a fantastic work environment powered by an amazing team. Industry competitive compensation and equity plan Flexible time off, sick days, and 13 paid holidays Comprehensive medical insurance including Health, Dental and Vision Paid parental leave (plus fertility, adoption and other family planning benefits) In-office workspace (San Francisco & Chicago) Monthly allowance for wellness, reading and access to LinkedIn Learning for continued development Events and activities both team-based and company wide that inspire, educate and cultivate Pantheon is an equal opportunity employer and we welcome applications from all backgrounds regardless of race, color, religion, sex, national origin, ancestry, age, marital status, sexual orientation, gender identity, veteran status, disability, or any other classification protected by law. Pantheon complies with federal and local disability laws and makes reasonable accommodations for applicants and employees with disabilities. If you need a reasonable accommodation due to a disability for any part of the interview process, please contact talent@pantheon.io. Pursuant to local and federal regulations, Pantheon will consider qualified applicants with arrest and conviction records for employment. After an offer is made and accepted, E-verify will be utilized to establish your identity and employment eligibility as required by the U. S. Department of Homeland Security. To review the Employee and Applicant's Privacy Policy, click here. The US base salary range for this position in the United States is $116,640 - $145,800 USD per year. Our salary ranges are determined by role, level, and location. At Pantheon, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. Visa Sponsorship is not available at this time. #LI-KM1 #LI-remote", "summaryDescription" : "Software Engineer, Customer Insights at Pantheon Systems, Inc. Skills: Backend development, Cloud infrastructure, DevOps. Design scalable backend services. Develop and maintain cloud infrastructure", "postedDate" : "2026-06-16T01:16:53.432", "createdAt" : "2026-06-16T01:16:53.432", "lastUpdated" : "2026-06-16T13:27:53.744", "ingestTimestamp" : "2026-06-16T01:16:53.432", "mongoId" : "6a3075c5f292fd229c013566", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 116640, "salaryAnnualMax" : 145800, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Software development", "Cloud computing", "DevOps practices", "Data structures", "Algorithms", "Backend development", "Cloud infrastructure", "DevOps", "System design", "API design", "Data modeling", "Agile", "Scrum", "SaaS architecture", "Customer insights", "Data pipelines", "Git", "JIRA", "Datadog", "Prometheus", "Grafana" ], "skillCount" : 21, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3075c5f292fd229c013564", "title" : "Software Engineer - Customer Insights", "company" : "Pantheon Systems, Inc", "industry" : "Technology", "salary" : { "min" : 103000.0, "max" : 129000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Remote", "locations" : [ "Remote" ], "timestamp" : "2026-06-16T11:26:50.191", "fingerprint" : "19157624d10a98ed4b1b9b172e121868012fcbe4130660a9f3eb0319a8a2a186", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://pantheon.io/about/careers/detail?gh_jid=8008258", "externalId" : "8008258", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Pantheon Pantheon WebOps Platform powers the open web, running more than 300,000 sites in the cloud for customers including Google, Princeton, Salesloft and Doctors Without Borders. Every day, thousands of developers and marketers create, iterate, and scale WordPress and Drupal sites to reach billions of people globally. Pantheon’s multitenant, container-based platform enables organizations to manage all of their websites from a single dashboard. Organizations including Clorox and the United Nations drive results through accelerated development and real-time publishing using Pantheon’s collaborative workflows. The Role The Pantheon Customer Insights Team is looking for a Software Engineer to build the next generation of customer-facing observability features. In this role, you will create backend systems that transform raw observability data from platforms like New Relic, Grafana, and Cloudflare into clear, actionable insights surfaced directly in our product. You'll work on Portfolio Insights, OpenTelemetry exploration, and product analytics capabilities. This is product engineering work; you're building features customers interact with daily, not internal tooling. You will work primarily in Go, with Python and SQL for data work. What you Need to Succeed Comfort with ambiguity; you'll be defining what \"meaningful insights\" means to customers. Pragmatic approach to balancing performance, cost, and delivery speed. Care about what users see, not just APIs. Good collaboration skills to work with product, design, and cross-functional teams. Desire to learn observability concepts on the job (we have domain experts on the team to teach you). What you Bring to the Table 3+ years of experience building production services and features. Go experience is a plus (or similar systems language). Comfortable working in React and TypeScript and GraphQL. Comfort with BigQuery/SQL and with Python for data work. Experience with observability platforms (New Relic, Grafana, Datadog) Experience with RESTful APIs and distributed systems. Familiarity with GCP infrastructure primitives, terraform, and container management solutions like kubernetes What We Offer We have all the usual perks and benefits but what we can really offer you is a fantastic work environment powered by an amazing team. Industry competitive compensation and equity plan Paid Time Off (PTO), Paid Sick Leave (PSL) and 12 Paid Company Holidays Full medical coverage (Extended health care, dental, vision) Top-of-line equipment In-office workspace (Vancouver, BC Canada) Monthly allowance for wellness, reading and access to LinkedIn Learning for continued development Events and activities both team-based and company wide that inspire, educate and cultivate Pantheon is an equal opportunity employer and we welcome applications from all backgrounds regardless of race, color, religion, sex, national origin, ancestry, age, marital status, sexual orientation, gender identity, veteran status, disability, or any other classification protected by law. Pantheon complies with federal and local disability laws and makes reasonable accommodations for applicants and employees with disabilities. If you need a reasonable accommodation due to a disability for any part of the interview process, please contact talent@pantheon.io. Pursuant to local and federal regulations, Pantheon will consider qualified applicants with arrest and conviction records for employment. To review the Employee and Applicant's Privacy Policy, click here. Visa Sponsorship is not available at this time. The Canadian base salary range for this position is 103,000- 129,000 CAD per year. Our salary ranges are determined by role, level, and location. At Pantheon, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. #LI-KM1 #LI-remote", "summaryDescription" : "Software Engineer - Customer Insights at Pantheon Systems, Inc", "postedDate" : "2026-06-16T01:19:19.388", "createdAt" : "2026-06-16T01:19:19.388", "lastUpdated" : "2026-06-16T11:26:50.191", "ingestTimestamp" : "2026-06-16T01:19:19.388", "mongoId" : "6a3075c5f292fd229c013564", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.97 }, { "id" : "6a2c6b8074d8ee00a0912de6", "title" : "Senior Market Strategy and Partnerships Manager", "company" : "Fever", "industry" : "Media", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Market Strategy and Partnerships Manager in Athens, Greece, adjusted for the media industry and company size." }, "location" : "Athens", "locations" : [ "Athens" ], "timestamp" : "2026-06-16T07:16:08.693", "fingerprint" : "9453ac42cfff4a2880b778c84c61bee8f2151c39836b61fd832619be49e23c5b", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/feverup/jobs/4896219101", "externalId" : "4896219101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Athens", "state" : "Attica", "country" : "Greece", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "37.9755648,23.7348324" } ], "locationText" : "Athens, Attica, Greece", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Market strategy", "Commercial strategy", "Organizational skills", "Problem-solving" ], "hardSkillsList" : [ "Sales", "Business development", "Partnership management" ], "hardSkills" : [ { "name" : "Sales", "level" : "intermediate" }, { "name" : "Business development", "level" : "intermediate" }, { "name" : "Partnership management", "level" : "intermediate" } ], "majorSkills" : "Market strategy, Partnerships, Sales", "majorSkillsList" : [ "Market strategy", "Partnerships", "Sales" ], "coreResponsibilities" : "Create business relationships, Cultivate business relationships, Develop growth strategy, Deliver growth strategy, Manage commercial strategy, Ensure value creation, Balance client base, Grow client base, Collaborate with stakeholders, Deliver partner growth, Keep up to date, Act as expert", "teamCollaboration" : "Cross functional stakeholders; Marketing; Category Management; Partner Support; Operations; Tech; Product; Finance", "domainKnowledge" : "Entertainment industry trends; Lifestyle trends; Events industry trends", "domainList" : [ "entertainment-industry-trends", "lifestyle-trends", "events-industry-trends" ], "domainSpecificKnowledge" : [ "Entertainment industry trends", "Lifestyle trends", "Events industry trends" ], "toolProficiency" : [ "Microsoft Office", "Google docs", "Sales CRM", "Salesforce" ], "communicationSkills" : "Written communication; Verbal communication", "qualificationsBasic" : "3+ years consulting experience, 5+ years relevant sector experience, Sales success track record, Business development skills, Partnership management skills, Data-driven approach, English and Greek fluency", "qualificationsPreferred" : "Event and entertainment industry experience", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "Hey there! We’re Fever, the world’s leading tech platform for culture and live entertainment. Our mission? To democratize access to culture and entertainment. With our proprietary cutting-edge technology and data-driven approach, we’re revolutionizing the way people engage with live entertainment. Every month, our platform inspires over 300 million people in +55 countries (and counting) to discover unforgettable experiences while also empowering event creators with our data and technology, helping them scale, innovate, and enhance their events to reach new audiences. Our results? We’ve teamed up with major industry leaders like Netflix, F. C. Barcelona, and Primavera Sound, presented international award-winning experiences, and are backed by several leading global investors! Impressive, right? To achieve our mission, we are looking for bar-raisers with a hands-on mindset who are eager to help shape the future of entertainment! Ready to be part of the experience? Now, let’s discuss this role and what you will do to help achieve Fever’s mission. Meet the Team Business Development At Fever, our Business Development team is both the face of Fever in the market and the voice of the market within Fever. Sitting at the core of our platform, they connect the world’s best experiences with the largest audiences, helping the live entertainment industry grow and evolve. Our team builds trusted, long-term partnerships with leading brands across the ecosystem. We work closely with creators, producers, agencies, and cultural leaders to help them make data-driven decisions, expand their portfolios, and scale internationally. In doing so, we play a key role in shaping the future of the entertainment landscape. This role goes far beyond relationship management. It requires strong strategic thinking and problem-solving across a wide range of topics, from marketing and pricing to operations and financing. The most successful team members take full ownership of their partners’ success, acting as true partners and advisors at every stage of growth. Collaboration is at the heart of everything we do. Business Development works hand-in-hand with Marketing, Category Management, Partner Support, Operations, Tech, Product, and Finance to ensure every experience on our platform reaches its full potential. Our team is diverse, entrepreneurial, and dynamic, bringing together talent from consulting, banking, big tech, and startups. We thrive in a fast-paced environment where creativity meets data, and ambition meets execution. Join us if you’re passionate about discovering world-class experiences, building meaningful partnerships, and scaling some of the most exciting concepts across the globe. What You'll Do Create and cultivate deep business relationships with the biggest producers, creators, venues and key stakeholders in the entertainment industry. Develop and deliver a growth strategy for the market, with an innovative and effective approach to scaling Fever's presence in the region Expertly manage commercial strategy with large partners ensuring value creation for both parties Evidence strong organizational skills to effectively balance and grow a large base of clients Collaborate closely with cross functional stakeholders to successfully deliver on partner growth across Greece and internationally Keep up to date with everything cool that’s happening in the entertainment; think of yourself as the expert for new and trending experiences Who you are: At least 3+ years of top tier consulting or equivalent experience, with additional 5+ years of experience in relevant sectors (e. g. corporate management, tech companies, sport / music / arts) Proven track record of sales success in a fast-paced, quota carrying role Strong business development and partnership management skills Self-starter mentality with an ability to work in a demanding, dynamic start-up environment Demonstrated data-driven approach to business and task prioritization Excellent communication skills both written and verbal in English and Greek along with strong attention to detail Comfort in working with Microsoft Office, Google docs, and a Sales CRM (Salesforce is preferred) Knowledge of the city’s entertainment, events, and lifestyle trends Experience in the event and entertaiment industry is a plus but not required Why You’ll Love It Here Attractive compensation package consisting of significant stock package, base salary, and performance-based bonus 40% discount on all Fever events and experiences Responsibility from day one and professional and personal growth Great work environment with a fun, international team of talented people to work with! Opportunity to have a real impact in a high-growth global category leader #LI-Remote Thank you for considering joining Fever. We cannot wait to learn more about you! If you want to learn more about us: Fever's Blog | Tech.Eu |TechCrunch Fever is committed to creating an inclusive and diverse workspace where everyone's background and ideas count. Our main goal is to find the best possible talent regardless of place of birth, racial or ethnic origin, gender, gender identity, religion, opinion, sexual orientation, disability, pregnancy, marital status, age or caring responsibilities. We encourage everyone to apply! If you require any kind of accommodation during the selection process please contact our Talent team so we can help you by providing a welcoming and seamless journey. If you want to know more about how Fever processes your personal data, click here Fever - Candidate Privacy Notice", "summaryDescription" : "Senior Market Strategy and Partnerships Manager at Fever. Skills: Market strategy, Partnerships, Sales. Create business relationships. 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We’re Fever, the world’s leading tech platform for culture and live entertainment. Our mission? To democratize access to culture and entertainment. With our proprietary cutting-edge technology and data-driven approach, we’re revolutionizing the way people engage with live entertainment. Every month, our platform inspires over 300 million people in +55 countries (and counting) to discover unforgettable experiences while also empowering event creators with our data and technology, helping them scale, innovate, and enhance their events to reach new audiences. Our results? We’ve teamed up with major industry leaders like Netflix, F. C. Barcelona, and Primavera Sound, presented international award-winning experiences, and are backed by several leading global investors! Impressive, right? To achieve our mission, we are looking for bar-raisers with a hands-on mindset who are eager to help shape the future of entertainment! Ready to be part of the experience? Now, let’s discuss this role and what you will do to help achieve Fever’s mission. Meet The Team At Fever, our Business Development team is both the face of Fever in the market and the voice of the market within Fever. Sitting at the core of our platform, they connect the world’s best experiences with the largest audiences, helping the live entertainment industry grow and evolve. Our team builds trusted, long-term partnerships with leading brands across the ecosystem. We work closely with creators, producers, agencies, and cultural leaders to help them make data-driven decisions, expand their portfolios, and scale internationally. In doing so, we play a key role in shaping the future of the entertainment landscape. This role goes far beyond relationship management. It requires strong strategic thinking and problem-solving across a wide range of topics, from marketing and pricing to operations and financing. The most successful team members take full ownership of their partners’ success, acting as true partners and advisors at every stage of growth. Collaboration is at the heart of everything we do. Business Development works hand-in-hand with Marketing, Category Management, Partner Support, Operations, Tech, Product, and Finance to ensure every experience on our platform reaches its full potential. Our team is diverse, entrepreneurial, and dynamic, bringing together talent from consulting, banking, big tech, and startups. We thrive in a fast-paced environment where creativity meets data, and ambition meets execution. Join us if you’re passionate about discovering world-class experiences, building meaningful partnerships, and scaling some of the most exciting concepts across the globe. The Role In this role, you will drive Fever’s expansion across the UK's entertainment industry by building and nurturing deep commercial relationships with top producers, creators, venues, and key stakeholders. You will develop and execute an innovative growth strategy to scale our market presence, expertly managing commercial strategies to ensure mutual value creation and build sustainable, long-term partnerships with event organizers. By collaborating closely with cross-functional teams both in the UK and internationally, you will successfully balance a growing client base while serving as our in-house expert on the coolest trends and newest experiences in the entertainment landscape. What You'll Do Create and cultivate deep business relationships with the biggest producers, creators, venues and key stakeholders in the entertainment industry. Develop and deliver a growth strategy for the market, with an innovative and effective approach to scaling Fever's presence in the region Expertly manage commercial strategy with large partners ensuring value creation for both parties, and a sustainable strategic partnership between Fever and event organisers Evidence strong organizational skills to effectively balance and grow a large base of clients Collaborate closely with cross functional stakeholders to successfully deliver on partner growth across the UK and internationally Keep up to date with everything cool that’s happening in the entertainment; think of yourself as the expert for new and trending experiences Who You Are Here’s what you should bring to the table: At least 4+ years of top tier consulting or equivalent experience, with ideally an additional 4+ years of experience in relevant sectors (e. g. corporate management, tech companies, sport / music / arts) Strong business development and partnership management skills Self-starter mentality with an ability to work in a demanding, dynamic start-up environment Demonstrated data-driven approach to business and task prioritization Excellent communication skills both written and verbal along with strong attention to detail Comfort in working with Microsoft Office, Google docs, and a Sales CRM (Sugar CRM is preferred) Knowledge of the city’s entertainment, events, and lifestyle trends Why You'll Love It Here Attractive compensation package, including stock options to reward your contributions and growth. 40% discount on all Fever events and experiences + free Candlelight voucher. Generous Parental Leave: We go well beyond the UK statutory minimum with 16 weeks of fully paid leave for birthing parents and 8 weeks for non-birthing parents. Future-Proof Pension: We invest in your future with Nest. Fever contributes a generous 10% of your gross salary, with a 4% contribution from you. Private health and dental insurance with Bupa: 100% covered by Fever. CycleSaver & Nursery Support: Save on your commute and childcare through tax-free salary sacrifice schemes for bikes, gear, and nursery costs. Wellhub membership for gym and wellness access: paid by Fever up to the bronze plan. Language learning support: English and Spanish lessons. Dynamic international team: a young, talented group creating a great work environment. #LI-hybrid #LI-fulltime #LI-DP1 Thank you for considering joining Fever. We cannot wait to learn more about you! If you want to learn more about us: Fever's Blog | Tech.Eu |TechCrunch Fever is committed to creating an inclusive and diverse workspace where everyone's background and ideas count. Our main goal is to find the best possible talent regardless of place of birth, racial or ethnic origin, gender, gender identity, religion, opinion, sexual orientation, disability, pregnancy, marital status, age or caring responsibilities. We encourage everyone to apply! If you require any kind of accommodation during the selection process please contact our Talent team so we can help you by providing a welcoming and seamless journey. If you want to know more about how Fever processes your personal data, click here Fever - Candidate Privacy Notice", "summaryDescription" : "Senior Market Strategy and Partnerships Manager at Fever. Skills: Market strategy, Partnership management, Commercial strategy. Build business relationships. Cultivate business relationships", "postedDate" : "2026-06-14T19:09:40.597", "createdAt" : "2026-06-14T19:09:40.597", "lastUpdated" : "2026-06-16T00:42:59.666", "ingestTimestamp" : "2026-06-14T19:09:40.597", "mongoId" : "6a2c6b8074d8ee00a0912de5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Financial modeling", "Market strategy", "Partnership management", "Commercial strategy", "Growth strategy", "Entertainment industry trends", "Live entertainment experiences", "Microsoft Office", "Google Docs", "Sales CRM" ], "skillCount" : 11, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cf9a674d8ee00a0a9b501", "title" : "Senior Manager, Strategic Finance- Insights and Analytics", "company" : "Lightspeed", "industry" : "Operations", "salary" : { "min" : 135000.0, "max" : 195000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Manager, Strategic Finance- Insights and Analytics in Calgary, Canada, adjusted for the SaaS industry and company size." }, "location" : "Calgary", "locations" : [ "Calgary" ], "certifications" : [ "CFA", "CPA", "FRM", "Series 7", "Series 63", "Series 65", "CAIA", "CFP", "ACCA", "ACA" ], "timestamp" : "2026-06-16T06:17:14.426", "fingerprint" : "bf2eadd45eb20fec05667211e5a65d5f39f14156690c86b9ec9cc0d9c7d703dc", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/lightspeedhq/6c5e7594-8c96-4f96-82d5-e9884d61f971/application", "externalId" : "6c5e7594-8c96-4f96-82d5-e9884d61f971", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Calgary", "state" : "Alberta", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "51.0456064,-114.0575410" } ], "locationText" : "Calgary, Alberta, Canada", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "domainKnowledge" : "Financial instruments; Regulatory frameworks; Risk methodologies; Quantitative skills", "domainList" : [ "financial-instruments", "regulatory-frameworks", "risk-methodologies", "quantitative-skills" ], "domainSpecificKnowledge" : [ "Financial instruments", "Regulatory frameworks", "Risk methodologies", "Quantitative skills" ], "remoteFriendly" : false, "rawDescription" : "Hi there! Thanks for stopping by \uD83D\uDC4B Are you actively looking for a new opportunity? Or just checking the market? Well… you might just be in the right place! We’re looking for a Senior Manager, Strategic Finance- Insights and Analytics to join the Strategic Finance & Insights team working closely with the CFO and Executive Leadership Team on capital markets strategy, long-range planning, and multi-year business design. This role contributes directly to that work by leading the analytical layer that connects Lightspeed's revenue streams and by holding the FP&A relationship with data and analytics partners across the company. What you’ll be doing: You will lead the cross-functional analytical work that supports executive decision-making and serve as a partner to the Data Office and adjacent data and analytics teams. The team is anchored by senior individual contributors who own the forecasting and modeling for each of Lightspeed's revenue streams. This role works across them to produce analyses, methodology, and insights that no single revenue stream owner is positioned to deliver alone. You will report to the Director, Strategic Finance & Insights. Your responsibilities will include: - Insights and Analysis: Lead the structuring, execution, and delivery of cross-functional analyses spanning all revenue streams (Software, Payments, Capital, and Hardware). Translate variances, structural shifts, and emerging trends across the business into clear narratives for senior finance leadership. - Data Partnership and Stewardship: Serve as the senior FP&A point of contact for the Data Office, analytics teams, and platform owners across the company. Represent FP&A's position on the definition and integrity of finance-critical metrics, contribute to cross-functional alignment on master data management, standardized reporting dimensions, and data governance frameworks, and translate between technical data discussions and finance audiences. - Forecasting Methodology and Accuracy: Support the evolution of Lightspeed's forecasting methodology and the framework used to assess forecasting accuracy. Identify structural sources of variance and contribute to improvements in how the team forecasts the business. - AI and Innovation: Integrate AI tools, automation, and emerging analytical techniques into the team's analytical workflows where they meaningfully improve quality or efficiency. What you need to bring: - Experience & Education: - Bachelor's degree in Finance, Economics, Business, Engineering, or a related quantitative field. - 7+ years of progressive FP&A, strategic finance, or analytical experience, ideally in a multi-product SaaS or payments environment. - Experience with EPM platforms (Pigment, Adaptive, Anaplan, or similar). - Experience at a public company is preferred. - Track record of producing executive-facing analysis across multiple business lines or revenue streams. - Experience partnering with data, analytics, or BI teams as a primary stakeholder. - Experience with or exposure to master data management, data governance frameworks, or standardized reporting dimensions is a bonus. - CPA or CFA designation is a bonus. - Technical & Analytical Skills: - Deep fluency in SaaS metrics: NRR, ARPU, churn, LTV/CAC, Rule of 40, etc. - Strong financial modeling skills in Google Sheets/Excel. - Familiarity with SQL and modern data tooling sufficient to partner with data teams as a peer and understand what good looks like. Hands-on coding proficiency is not required. - Comfortable building structure across large, messy datasets where processes don't yet exist. - AI fluency. You use LLMs, copilots, and automation tools in your actual workflow, not just as a talking point. Excitement about what's next matters as much as what you already know. - Communication & Collaboration: - Ability to translate complex analysis into simple, actionable narratives for non-finance stakeholders. - Comfort operating with ambiguity and making methodology calls with incomplete information. - Cross-functional fluency. You've worked across Data, Accounting, and business teams, not just within Finance. - Experience presenting to and influencing senior leadership, not just producing deliverables for them. You’ll enjoy: - A flexible work environment that empowers you to do your best work - A culture that celebrates performance - The chance to make an impact in a team that’s big enough for career growth, but lean enough to make your voice heard - Career-defining opportunities Plus benefits designed to keep you happy, healthy and fulfilled. - Flexible paid time off and remote work policies - Equity options, because this is your company too - Contributions to your pension plan. Your future matters - Training opportunities to grow your skills and career - Health and wellness credit so you feel your best - Time off to volunteer and give back to your community - Interest groups, employee led networks, social committees to sponsored sports teams - Computer purchase program to get your personal Macbook - Enhanced parental leave to support growing families #LI-SS3 To all recruitment agencies: Lightspeed does not accept unsolicited agency resumes. If we have not directly engaged your company in writing to supply candidates for a specific vacancy, Lightspeed will not be responsible for any fees related to unsolicited resumes. Lightspeed is a proud equal opportunity employer and we are committed to creating an inclusive and barrier-free workplace. Lightspeed welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. WHERE TO FROM HERE? Obviously, this has to be mutually beneficial: we want you to step into a role you love, and we want to offer you a place you’re proud to come to every day. For a glimpse into our world check out our career page here https://www.lightspeedhq.com/careers/. Lightspeed is building communities through commerce, and we need people from all backgrounds and lived experiences to do that. We were founded in 2005, in Montreal’s gay village and our original members were all part of the LGBTQ+ community. The ethos of our business has been about inclusion from the very beginning, and we strive to provide a workplace where everyone belongs. WHO WE ARE: Powering the businesses that are the backbone of the global economy, Lightspeed's one-stop commerce platform helps merchants innovate to simplify, scale, and provide exceptional customer experiences. Our cloud commerce solution transforms and unifies online and physical operations, multichannel sales, expansion to new locations, global payments, financial solutions, and connection to supplier networks. Founded in Montréal, Canada in 2005, Lightspeed is dual-listed on the New York Stock Exchange (NYSE: LSPD) and Toronto Stock Exchange (TSX: LSPD). With teams across North America, Europe, and Asia Pacific, the company serves retail, hospitality, and golf businesses in over 100 countries. Lightspeed handles your information in accordance with our Applicant Privacy Statement https://www.lightspeedhq.com/legal/applicant-privacy-statement/. ", "summaryDescription" : "Senior Manager, Strategic Finance- Insights and Analytics at Lightspeed", "createdAt" : "2026-06-14T18:35:59.408", "lastUpdated" : "2026-06-16T06:17:14.426", "ingestTimestamp" : "2026-06-14T18:35:59.408", "mongoId" : "6a2cf9a674d8ee00a0a9b501", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Financial instruments", "Regulatory frameworks", "Risk methodologies", "Quantitative skills", "CFA", "CPA", "FRM", "Series 7", "Series 63", "Series 65", "CAIA", "CFP", "ACCA", "ACA" ], "skillCount" : 14, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c6b8074d8ee00a0912de7", "title" : "Senior Market Strategy and Partnerships Manager", "company" : "Fever", "industry" : "Media", "salary" : { "min" : 65000.0, "max" : 95000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Market Strategy and Partnerships Manager in Paris, France, adjusted for the technology industry and company size." }, "location" : "Paris", "locations" : [ "Paris" ], "timestamp" : "2026-06-16T02:08:34.021", "fingerprint" : "8adbe8a58c15e0fa4fb42ea26c48832b29c793c46ddee2548965a2db83108efa", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/feverup/jobs/4896492101", "externalId" : "4896492101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Paris", "country" : "France", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "48.8534951,2.3483915" } ], "locationText" : "Paris, France", "employmentType" : "FULL_TIME", "experienceMinYears" : 4, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Microsoft Office, Google Docs, Sales CRM", "professionalSkills" : [ "Market strategy", "Business development", "Partnership management" ], "majorSkills" : "Market strategy, Partnerships", "majorSkillsList" : [ "Market strategy", "Partnerships" ], "coreResponsibilities" : "Source experiential content, Curate experiential content, Grow experiential content, Scale projects through Fever, Build long-term partnerships, Scale exciting experiences", "teamCollaboration" : "Marketing; User Support; Category Management; Lead Generation; Partner Support; Sales Ops", "domainKnowledge" : "Entertainment trends; Events trends; Lifestyle trends", "domainList" : [ "entertainment-trends", "events-trends", "lifestyle-trends" ], "domainSpecificKnowledge" : [ "Entertainment trends", "Events trends", "Lifestyle trends" ], "toolProficiency" : [ "Salesforce CRM" ], "communicationSkills" : "Written communication; Verbal communication", "qualificationsBasic" : "4+ years consulting experience, 4+ years business development experience, 4+ years partnership management experience, Excellent French communication skills, Excellent English communication skills", "qualificationsPreferred" : "Experience in tech companies, Experience in music/label business, Salesforce CRM proficiency", "remoteFriendly" : false, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Hey there! We’re Fever, the world’s leading tech platform for culture and live entertainment. Our mission? To democratize access to culture and entertainment. With our proprietary cutting-edge technology and data-driven approach, we’re revolutionizing the way people engage with live entertainment. Every month, our platform inspires over 300 million people in +55 countries (and counting) to discover unforgettable experiences while also empowering event creators with our data and technology, helping them scale, innovate, and enhance their events to reach new audiences. Our results? We’ve teamed up with major industry leaders like Netflix, F. C. Barcelona, and Primavera Sound, presented international award-winning experiences, and are backed by several leading global investors! Impressive, right? To achieve our mission, we are looking for bar-raisers with a hands-on mindset who are eager to help shape the future of entertainment! Ready to be part of the experience? Now, let’s discuss this role and what you will do to help achieve Fever’s mission. Meet The Team At Fever, our Business Development team is at the heart of the marketplace, making the discovery of amazing things to do effortless. We are responsible for sourcing, curating, and growing top experiential content across global markets, from immersive pop-ups to headline cultural events.Our mission is to bring the best experiences to the platform while helping partners grow their portfolios, increase turnover, and achieve long-term success. This means working closely with creators, producers, agencies, and cultural leaders to scale their projects through Fever. Collaboration is key: we partner daily with Marketing, User Support, Category Management, Lead Generation, Partner Support, and Sales Ops to ensure every experience added to the marketplace reaches its full potential. Join us if you want to source world-class content, build long-term partnerships, and help scale the most exciting experiences across global markets. The Role We are looking for an exceptional, entrepreneurial Senior Market Strategy think of yourself as the expert for new and trending experiences Who You Are At least 4+ years of top tier consulting or equivalent experience, with ideally an additional 4+ years of experience in relevant sectors (e. g. corporate management, tech companies, music / label) Strong business development and partnership management skills Self-starter mentality with an ability to work in a demanding, dynamic start-up environment Demonstrated data-driven approach to business and task prioritization Excellent communication skills in French and English both written and verbal along with strong attention to detail Comfort in working with Microsoft Office, Google docs, and a Sales CRM (Salesforce CRM is preferred) Knowledge of the city’s entertainment, events, and lifestyle trends Why You'll Love it Here Attractive compensation package consisting of base salary and the potential to earn a significant bonus for top performance. Stock Options Health insurance Transport card and meal vouchers subsidized by the company EGYM Wellpass Opportunity to have a real impact in a high-growth global category leader 40% discount on all Fever events and experiences Responsibility from day one and professional and personal growth Great work environment with a fun, international team of talented people to work with! #LI-hybrid #LI-fulltime #LI-DB1 Thank you for considering joining Fever. We cannot wait to learn more about you! If you want to learn more about us: Fever's Blog | Tech.Eu |TechCrunch Fever is committed to creating an inclusive and diverse workspace where everyone's background and ideas count. Our main goal is to find the best possible talent regardless of place of birth, racial or ethnic origin, gender, gender identity, religion, opinion, sexual orientation, disability, pregnancy, marital status, age or caring responsibilities. We encourage everyone to apply! If you require any kind of accommodation during the selection process please contact our Talent team so we can help you by providing a welcoming and seamless journey. If you want to know more about how Fever processes your personal data, click here Fever - Candidate Privacy Notice", "summaryDescription" : "Senior Market Strategy and Partnerships Manager at Fever. Skills: Market strategy, Partnerships. Source experiential content. 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Thanks for stopping by \uD83D\uDC4B Are you actively looking for a new opportunity? Or just checking the market? Well… you might just be in the right place! We’re looking for a Senior Manager, Strategic Finance- Insights and Analytics to join the Strategic Finance & Insights team working closely with the CFO and Executive Leadership Team on capital markets strategy, long-range planning, and multi-year business design. This role contributes directly to that work by leading the analytical layer that connects Lightspeed's revenue streams and by holding the FP&A relationship with data and analytics partners across the company. What you’ll be doing: You will lead the cross-functional analytical work that supports executive decision-making and serve as a partner to the Data Office and adjacent data and analytics teams. The team is anchored by senior individual contributors who own the forecasting and modeling for each of Lightspeed's revenue streams. This role works across them to produce analyses, methodology, and insights that no single revenue stream owner is positioned to deliver alone. You will report to the Director, Strategic Finance & Insights. Your responsibilities will include: - Insights and Analysis: Lead the structuring, execution, and delivery of cross-functional analyses spanning all revenue streams (Software, Payments, Capital, and Hardware). Translate variances, structural shifts, and emerging trends across the business into clear narratives for senior finance leadership. - Data Partnership and Stewardship: Serve as the senior FP&A point of contact for the Data Office, analytics teams, and platform owners across the company. Represent FP&A's position on the definition and integrity of finance-critical metrics, contribute to cross-functional alignment on master data management, standardized reporting dimensions, and data governance frameworks, and translate between technical data discussions and finance audiences. - Forecasting Methodology and Accuracy: Support the evolution of Lightspeed's forecasting methodology and the framework used to assess forecasting accuracy. Identify structural sources of variance and contribute to improvements in how the team forecasts the business. - AI and Innovation: Integrate AI tools, automation, and emerging analytical techniques into the team's analytical workflows where they meaningfully improve quality or efficiency. What you need to bring: - Experience & Education: - Bachelor's degree in Finance, Economics, Business, Engineering, or a related quantitative field. - 7+ years of progressive FP&A, strategic finance, or analytical experience, ideally in a multi-product SaaS or payments environment. - Experience with EPM platforms (Pigment, Adaptive, Anaplan, or similar). - Experience at a public company is preferred. - Track record of producing executive-facing analysis across multiple business lines or revenue streams. - Experience partnering with data, analytics, or BI teams as a primary stakeholder. - Experience with or exposure to master data management, data governance frameworks, or standardized reporting dimensions is a bonus. - CPA or CFA designation is a bonus. - Technical & Analytical Skills: - Deep fluency in SaaS metrics: NRR, ARPU, churn, LTV/CAC, Rule of 40, etc. - Strong financial modeling skills in Google Sheets/Excel. - Familiarity with SQL and modern data tooling sufficient to partner with data teams as a peer and understand what good looks like. Hands-on coding proficiency is not required. - Comfortable building structure across large, messy datasets where processes don't yet exist. - AI fluency. You use LLMs, copilots, and automation tools in your actual workflow, not just as a talking point. Excitement about what's next matters as much as what you already know. - Communication & Collaboration: - Ability to translate complex analysis into simple, actionable narratives for non-finance stakeholders. - Comfort operating with ambiguity and making methodology calls with incomplete information. - Cross-functional fluency. You've worked across Data, Accounting, and business teams, not just within Finance. - Experience presenting to and influencing senior leadership, not just producing deliverables for them. You’ll enjoy: - A flexible work environment that empowers you to do your best work - A culture that celebrates performance - The chance to make an impact in a team that’s big enough for career growth, but lean enough to make your voice heard - Career-defining opportunities Plus benefits designed to keep you happy, healthy and fulfilled. - Flexible paid time off and remote work policies - Equity options, because this is your company too - Contributions to your pension plan. Your future matters - Training opportunities to grow your skills and career - Health and wellness credit so you feel your best - Time off to volunteer and give back to your community - Interest groups, employee led networks, social committees to sponsored sports teams - Computer purchase program to get your personal Macbook - Enhanced parental leave to support growing families - We got you covered! A variety of snacks, coffee, and teas are always accessible and available in the office kitchen .Tuesday's- Thursday's: Lunch is served, and Thursday’s is Happy hours with a variety of drinks and snacks #LI-SS3 To all recruitment agencies: Lightspeed does not accept unsolicited agency resumes. If we have not directly engaged your company in writing to supply candidates for a specific vacancy, Lightspeed will not be responsible for any fees related to unsolicited resumes. Lightspeed is a proud equal opportunity employer and we are committed to creating an inclusive and barrier-free workplace. Lightspeed welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. WHERE TO FROM HERE? Obviously, this has to be mutually beneficial: we want you to step into a role you love, and we want to offer you a place you’re proud to come to every day. For a glimpse into our world check out our career page here https://www.lightspeedhq.com/careers/. Lightspeed is building communities through commerce, and we need people from all backgrounds and lived experiences to do that. We were founded in 2005, in Montreal’s gay village and our original members were all part of the LGBTQ+ community. The ethos of our business has been about inclusion from the very beginning, and we strive to provide a workplace where everyone belongs. WHO WE ARE: Powering the businesses that are the backbone of the global economy, Lightspeed's one-stop commerce platform helps merchants innovate to simplify, scale, and provide exceptional customer experiences. Our cloud commerce solution transforms and unifies online and physical operations, multichannel sales, expansion to new locations, global payments, financial solutions, and connection to supplier networks. Founded in Montréal, Canada in 2005, Lightspeed is dual-listed on the New York Stock Exchange (NYSE: LSPD) and Toronto Stock Exchange (TSX: LSPD). With teams across North America, Europe, and Asia Pacific, the company serves retail, hospitality, and golf businesses in over 100 countries. Lightspeed handles your information in accordance with our Applicant Privacy Statement https://www.lightspeedhq.com/legal/applicant-privacy-statement/. 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Thanks for stopping by \uD83D\uDC4B Are you actively looking for a new opportunity? Or just checking the market? Well… you might just be in the right place! We’re looking for a Senior Manager, Strategic Finance- Insights and Analytics to join the Strategic Finance & Insights team working closely with the CFO and Executive Leadership Team on capital markets strategy, long-range planning, and multi-year business design. This role contributes directly to that work by leading the analytical layer that connects Lightspeed's revenue streams and by holding the FP&A relationship with data and analytics partners across the company. What you’ll be doing: You will lead the cross-functional analytical work that supports executive decision-making and serve as a partner to the Data Office and adjacent data and analytics teams. The team is anchored by senior individual contributors who own the forecasting and modeling for each of Lightspeed's revenue streams. This role works across them to produce analyses, methodology, and insights that no single revenue stream owner is positioned to deliver alone. You will report to the Director, Strategic Finance & Insights. Your responsibilities will include: - Insights and Analysis: Lead the structuring, execution, and delivery of cross-functional analyses spanning all revenue streams (Software, Payments, Capital, and Hardware). Translate variances, structural shifts, and emerging trends across the business into clear narratives for senior finance leadership. - Data Partnership and Stewardship: Serve as the senior FP&A point of contact for the Data Office, analytics teams, and platform owners across the company. Represent FP&A's position on the definition and integrity of finance-critical metrics, contribute to cross-functional alignment on master data management, standardized reporting dimensions, and data governance frameworks, and translate between technical data discussions and finance audiences. - Forecasting Methodology and Accuracy: Support the evolution of Lightspeed's forecasting methodology and the framework used to assess forecasting accuracy. Identify structural sources of variance and contribute to improvements in how the team forecasts the business. - AI and Innovation: Integrate AI tools, automation, and emerging analytical techniques into the team's analytical workflows where they meaningfully improve quality or efficiency. What you need to bring: - Experience & Education: - Bachelor's degree in Finance, Economics, Business, Engineering, or a related quantitative field. - 7+ years of progressive FP&A, strategic finance, or analytical experience, ideally in a multi-product SaaS or payments environment. - Experience with EPM platforms (Pigment, Adaptive, Anaplan, or similar). - Experience at a public company is preferred. - Track record of producing executive-facing analysis across multiple business lines or revenue streams. - Experience partnering with data, analytics, or BI teams as a primary stakeholder. - Experience with or exposure to master data management, data governance frameworks, or standardized reporting dimensions is a bonus. - CPA or CFA designation is a bonus. - Technical & Analytical Skills: - Deep fluency in SaaS metrics: NRR, ARPU, churn, LTV/CAC, Rule of 40, etc. - Strong financial modeling skills in Google Sheets/Excel. - Familiarity with SQL and modern data tooling sufficient to partner with data teams as a peer and understand what good looks like. Hands-on coding proficiency is not required. - Comfortable building structure across large, messy datasets where processes don't yet exist. - AI fluency. You use LLMs, copilots, and automation tools in your actual workflow, not just as a talking point. Excitement about what's next matters as much as what you already know. - Communication & Collaboration: - Ability to translate complex analysis into simple, actionable narratives for non-finance stakeholders. - Comfort operating with ambiguity and making methodology calls with incomplete information. - Cross-functional fluency. You've worked across Data, Accounting, and business teams, not just within Finance. - Experience presenting to and influencing senior leadership, not just producing deliverables for them. You’ll enjoy: - A flexible work environment that empowers you to do your best work - A culture that celebrates performance - The chance to make an impact in a team that’s big enough for career growth, but lean enough to make your voice heard - Career-defining opportunities Plus benefits designed to keep you happy, healthy and fulfilled. - Flexible paid time off and remote work policies - Equity options, because this is your company too - Contributions to your pension plan. Your future matters - Training opportunities to grow your skills and career - Health and wellness credit so you feel your best - Time off to volunteer and give back to your community - Interest groups, employee led networks, social committees to sponsored sports teams - Computer purchase program to get your personal Macbook - Enhanced parental leave to support growing families At Lightspeed, we carefully consider a wide range of factors when determining compensation, including your skill set, qualifications, experience, and market data. These considerations can cause your compensation to vary. We reasonably expect the total compensation for this position to be in the range of $140,000-180,000k Lightspeed also provides a variety of employee benefits including, but not limited to, medical, dental, wellness, life and disability insurance, RRSP plan and match, paid parental leave top-up, and paid time off. Please note that this compensation information is solely for candidates hired to perform work within Ontario and reflects the amount Lightspeed is willing to pay at the time of this posting. This role represents an existing vacancy at Lightspeed. Lightspeed uses artificial intelligence–enabled tools to support certain aspects of the recruitment process; all hiring decisions are made by our recruiting and hiring teams. #LI-SS3 To all recruitment agencies: Lightspeed does not accept unsolicited agency resumes. If we have not directly engaged your company in writing to supply candidates for a specific vacancy, Lightspeed will not be responsible for any fees related to unsolicited resumes. Lightspeed is a proud equal opportunity employer and we are committed to creating an inclusive and barrier-free workplace. Lightspeed welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. WHERE TO FROM HERE? Obviously, this has to be mutually beneficial: we want you to step into a role you love, and we want to offer you a place you’re proud to come to every day. For a glimpse into our world check out our career page here https://www.lightspeedhq.com/careers/. Lightspeed is building communities through commerce, and we need people from all backgrounds and lived experiences to do that. We were founded in 2005, in Montreal’s gay village and our original members were all part of the LGBTQ+ community. The ethos of our business has been about inclusion from the very beginning, and we strive to provide a workplace where everyone belongs. WHO WE ARE: Powering the businesses that are the backbone of the global economy, Lightspeed's one-stop commerce platform helps merchants innovate to simplify, scale, and provide exceptional customer experiences. Our cloud commerce solution transforms and unifies online and physical operations, multichannel sales, expansion to new locations, global payments, financial solutions, and connection to supplier networks. Founded in Montréal, Canada in 2005, Lightspeed is dual-listed on the New York Stock Exchange (NYSE: LSPD) and Toronto Stock Exchange (TSX: LSPD). With teams across North America, Europe, and Asia Pacific, the company serves retail, hospitality, and golf businesses in over 100 countries. Lightspeed handles your information in accordance with our Applicant Privacy Statement https://www.lightspeedhq.com/legal/applicant-privacy-statement/. 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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. 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"timestamp" : "2026-06-15T05:30:38.045", "fingerprint" : "737d99f0ecbd367773e7e0b150c46aab09bd6cc0dcb47b3e5bcb9c4bc61ab181", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3073811/apply", "externalId" : "67fc366e-6490-4a9b-b3d7-01ae4a830300", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Vancouver", "state" : "British Columbia", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "49.2608724,-123.1139520" } ], "locationText" : "Vancouver, British Columbia, Canada", "employmentType" : "FULL_TIME", "technicalSkills" : "GenAI, LLMs, Python", "professionalSkills" : [ "Financial analysis", "Accounting", "Business intelligence" ], "hardSkillsList" : [ "Machine learning", "Data mining", "Statistical algorithms", "Anomaly detection", "Model development", "Model validation", "Model fine-tuning", "Agentic solutions" ], "softSkillsList" : [ "Written communication", "Verbal communication" ], "hardSkills" : [ { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Data mining", "level" : "intermediate" }, { "name" : "Statistical algorithms", "level" : "intermediate" }, { "name" : "Anomaly detection", "level" : "intermediate" }, { "name" : "Model development", "level" : "intermediate" }, { "name" : "Model validation", "level" : "intermediate" }, { "name" : "Model fine-tuning", "level" : "intermediate" }, { "name" : "Agentic solutions", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Written communication" }, { "name" : "Verbal communication" } ], "majorSkills" : "Machine learning, GenAI, LLMs, Financial insights", "majorSkillsList" : [ "Machine learning", "GenAI", "LLMs", "Financial insights" ], "coreResponsibilities" : "Leverage GenAI/LLMs build agentic solutions, Build AI trust and safety, Establish scalable, efficient, automated processes, Develop training/evaluation datasets, Collaborate with engineering productionalize research, Develop anomaly detection models, Build multi-agent systems, Fine-tune LLMs provide recommendations", "teamCollaboration" : "Domain experts; Engineers; Scientists; Product Managers; Accounting stakeholders", "domainKnowledge" : "Financial domain; Accounting processes", "domainList" : [ "financial-domain", "accounting-processes" ], "domainSpecificKnowledge" : [ "Financial domain", "Accounting processes" ], "communicationSkills" : "Written communication; Verbal communication", "innovationCreativity" : "Scientific research; Publishing papers", "problemSolvingSkills" : "Business problems", "qualificationsBasic" : "3+ years business problems ML, 3+ years programming Java, C++, Python, PhD or Master's degree, 4+ years CS, CE, ML experience, Experience algorithms and data structures, Experience parsing, Experience numerical optimization, Experience data mining, Experience parallel and distributed computing, Experience high-performance computing, Experience patents or publications", "qualificationsPreferred" : "PhD preferred, Experience applying theoretical models", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you interested in changing the way accounting and finance works at Amazon? We are a science and engineering team leveraging ML models and GenAI/LLMs to solve real-world problems faced by accountants and financial analysts. We are part of the Amazon Financials Foundation Services (AFFS) organization. AFFS is responsible for processing and managing billions of financially relevant transactions sent globally from across Amazon each day, including orders, shipments, payments, and inventory movements. AFFS is at the center of Amazon's key initiatives and fuels the growth of Amazon's businesses worldwide by ensuring that businesses can easily integrate with our services and that accountants and financial analysts have the right tools to use our data. As an Applied Scientist, you'll work alongside domain experts, engineers, and other scientists to understand business problems, propose scientific solutions, and deploy them to production. You'll work on scientific initiatives for accelerating reconciliation, standardization, and onboarding. This includes: - Leveraging GenAI/LLMs to build agentic solutions to accelerate accounting-related research/tasks and produce proactive insights. - Building AI trust and safety in the financial domain. - Establishing scalable, efficient, automated processes for large-scale data analysis, machine learning model development, model validation, and serving. - Developing training/evaluation datasets for model fine-tuning. - Collaborating with engineering to productionalize research. Specific examples of this work include developing anomaly detection models to identify deviations in payments, building multi-agent systems to perform financial research or onboard new businesses, and fine-tuning LLMs to provide recommendations on next steps. As an interdisciplinary team, we maintain a balance between scientific research and productionalization. This means, you'll get a unique opportunity to influence the global scientific community by publishing papers externally and internally while also seeing your work used across Amazon. You will need to have a start-up like mindset, as you will be working an in a highly iterative and collaborative environment with SDEs, Product Managers, and Accounting stakeholders to propose ideas, experiment, and scale rapidly. You should have a keen eye for what a good user experience should look like, possess excellent written and verbal communication, and have a keen interest in learning about accounting and financial processes. Basic Qualifications: - 3+ years of solving business problems through machine learning, data mining and statistical algorithms experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience in patents or publications at top-tier peer-reviewed conferences or journals - 3+ years of programming in Java, C++, Python or related language experience - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Preferred Qualifications: - Experience applying theoretical models in an applied environment Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary for this position ranges from $149,300/year up to $249,300/year. Salary is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. Applicants should apply via our internal or external career site.", "summaryDescription" : "Applied Scientist, Financial Insights and Actions at Amazon Development Centre Canada ULC. Skills: Machine learning, GenAI, LLMs, Financial insights. Leverage GenAI/LLMs build agentic solutions. Build AI trust and safety", "postedDate" : "2026-06-13T17:08:05.421", "createdAt" : "2026-06-13T17:08:05.421", "lastUpdated" : "2026-06-15T05:30:38.045", "ingestTimestamp" : "2026-06-13T17:08:05.421", "mongoId" : "68c2e425f8b1b0376634c612", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3073811/apply", "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Machine learning", "Data mining", "Statistical algorithms", "Anomaly detection", "Model development", "Model validation", "Model fine-tuning", "Agentic solutions", "Written communication", "Verbal communication", "GenAI", "LLMs", "Financial insights", "Financial analysis", "Accounting", "Business intelligence", "Financial domain", "Accounting processes" ], "skillCount" : 18, "jobCategory" : "data", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "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, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Food & Beverage", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c5e4974d8ee00a08e2c07", "title" : "Vice President, Research and Insights", "company" : "Prosek Partners", "industry" : "Communications", "salary" : { "min" : 150000.0, "max" : 175000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, NY, United States", "locations" : [ "New York", "NY", "United States" ], "timestamp" : "2026-06-15T00:27:53.965", "fingerprint" : "9a0d6c270c8fc505dc7f79202eb8b0b81ee17c3d0e6d83ce709aeacc3f97639b", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/prosek/jobs/7733556", "externalId" : "7733556", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "experienceMinYears" : 10, "experienceMaxYears" : 99, "experienceLevel" : "Executive", "technicalSkills" : "AI, Python, SQL", "professionalSkills" : [ "Data-driven planning", "Client counseling", "Research methodologies", "Predictive risk", "Crisis assessment", "Whitespace analyses", "Narrative intelligence", "Influencer identification", "Audience analysis", "New business proposals", "Data integration", "Data visualization" ], "hardSkillsList" : [ "Quantitative research", "Statistical analysis", "Writing skills", "Presentation skills" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Quantitative research", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Writing skills", "level" : "intermediate" }, { "name" : "Presentation skills", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Research and analytics, AI analytics, Data insights", "majorSkillsList" : [ "Research and analytics", "AI analytics", "Data insights" ], "coreResponsibilities" : "Lead integrated client teams, Ensure data-driven planning, Ensure data-driven execution, Ensure data-driven content development, Serve as strategic counselor, Lead day-to-day client contact, Oversee research projects, Manage research projects, Create measurement frameworks, Implement measurement frameworks, Create research methodologies, Implement research methodologies, Conduct global qualitative research, Conduct global quantitative research, Analyze research results, Monitor media, Assess predictive risk, Assess crisis risk, Conduct whitespace analyses, Perform competitive analysis, Perform media landscape analysis, Analyze narrative intelligence, Identify influencers, Vet influencers, Analyze audiences, Develop new business proposals, Present data, Present insights, Develop reports, Mentor reports, Provide feedback, Hold reports accountable, Conduct reviews, Oversee professional development, Oversee budget creation, Monitor program budgets, Review written materials, Edit written materials, Manage flow of account work, Ensure client objectives are met, Champion the team, Motivate team members, Engage team members, Work to potential, Give team members feedback, Contribute to new business development, Lead RFP responses, Write proposals, Pitch clients, Prospect clients, Recruit new hires, Evaluate potential new hires", "teamCollaboration" : "Integrated client teams; Cross-functional teams; Digital teams; Creative teams; Content teams; PR teams", "projectManagementSkills" : [ "RFP responses", "Proposal writing" ], "domainKnowledge" : "Communications channels; Financial services; Professional services; B2B communications", "domainList" : [ "communications-channels", "financial-services", "professional-services", "b2b-communications" ], "domainSpecificKnowledge" : [ "Communications channels", "Financial services", "Professional services", "B2B communications" ], "toolProficiency" : [ "Talkwalker", "SignalAI", "StatSocial", "Microsoft Suite", "Looker", "Tableau", "PowerBI" ], "communicationSkills" : "Presenting data; Writing skills; Presentation skills", "continuousLearning" : "Custom career opportunities", "innovationCreativity" : "Brainstorming; Creative strategy planning", "problemSolvingSkills" : "Extrapolating data; Data-driven decision making", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Who is Prosek? We are entrepreneurial. Prosek is one of the largest independent communications and marketing firms in the U.S., with offices and strategic partners across the country and worldwide. We are specialized. Prosek provides unparalleled expertise for some of the most notable brands in financial services, professional services, and beyond. We are people centric. Our teams work together in a collegial atmosphere that breeds professional respect and friendship. We are award-winning. Join an \"Army of Entrepreneurs\" that was recently named 2026Global Agency of the Year by PRovoke Media. Overview: We're currently seeking a Vice President to join our growing Data and Analytics team. The Vice President (VP) plays a critical leadership role on the team and across the firm. You are expected to have the skills and behaviors needed to up-level client work, build culture and drive growth for the firm. While you should be a big-picture thinker, you also need to be able to lead and inspire teams to turn big ideas into action. Most of all, you need to be an incredible people manager who enjoys developing and mentoring junior staff, a critical aspect of our growing team. In this role, you must be an expert in research and analytics across communications channels, skilled at leveraging AI and adept at extrapolating data to find the “so what” for clients. This candidate will be expected to conduct primary and secondary research to inform strategy, monitor earned, social and owned activity across relevant platforms and develop insightful and actionable reports for executives. At Prosek, everyone is expected to be a strong team player, participating in brainstorming and creative strategy planning for clients and internal projects. Our culture is built around being an \"Army of Entrepreneurs,\" and we encourage everyone to embrace that and be the \"writer of their own story.\" What you'll be doing: Lead integrated client teams to ensure data-driven planning, execution and content development Serve as a strategic counselor and lead day-to-day client contact for key client relationships Oversee and manage research and analytics projects independently including, but not limited to: Creation and implementation of measurement frameworks and research methodologies Global qualitative and quantitative research studies (i.e., writing questionnaires, overseeing data collection, analyzing results) Media monitoring, predictive risk and crisis assessment Whitespace analyses (i.e., competitive and media landscape analysis) Narrative intelligence Influencer identification and vetting Audience analysis AI analytics Development of new business proposals Presenting data and insights to tell a clear and compelling story of impact Develop and mentor reports through coaching, consistently providing feedback, holding them accountable, conducting their reviews, and overseeing their professional development Demonstrate an expert understanding of the data oversee creation and ongoing monitoring of program budgets Be responsible for reviewing and editing all written materials developed by account team and assist team members with fine-tuning their writing skills Manage the flow of account work among junior team members to ensure that client objectives are met Act as \"champion\" of the team and ensure that the staff is motivated, engaged and working to potential and proactively give team members feedback Contribute to new business development, including leading RFP responses, proposal writing, client pitches and prospecting Become involved in recruiting and evaluate potential new hires to determine if they would work well with Prosek What makes you qualified: 10-12 years of experience Strong command of data & analytics measurement and monitoring tools (including Talkwalker/SignalAI or similar platforms, StatSocial) Expert understanding of primary quantitative research Strong statistical, writing and presentation skills Strong eye for detail Experience in financial services, professional services, technology and/or B2B communications Ability to manage cross-functional integrated teams and form relationships across digital, creative, content and PR Adept in Microsoft Suite (Outlook, Excel, PowerPoint, etc.) Experience vetting and selecting research vendors and managing project budgets Experience in data integration and visualization platforms and practices preferred, but not required (Looker, Tableau, PowerBI, Python, etc.) Readiness to deliver excellent client service and be a member of a growing team Ability to maintain and grow the collective culture and value of the Data and Analytics team and Prosek as a whole What are the perks? 401(k) employer match: There is no time like the present to prepare for your future! Premium healthcare plans, including medical, dental and vision coverage: Your health comes first. Hybrid work model: 2 days in the office, 3 days from home - Pick your own schedule. 2 weeks of remote work per year: You do you! Generous Paid Time Off (PTO) package including birthday PTO: Enjoy life's moments. Custom career opportunities: Choose your own adventure! Our Core Values: Chemistry, Collaboration and Belonging: Our collegial culture inspires people with different perspectives and backgrounds to work towards common goals as we brainstorm, plan and execute on behalf of our clients and to build our business together. Grit and Hustle: We work hard. We roll up our sleeves. We are not precious or pretentious. We do not take short cuts. Instead, we put in the work and do what it takes to get the job done. The Excitement of New Challenges: We view challenges as opportunities and embrace them. They motivate us to learn and grow so that we can be the best versions of ourselves, for our clients and each other. A Workplace with Humanity: We recognize the rigor and demand of our work. We also recognize that life inside and outside of Prosek can be stressful. We work very hard to run our business with a heavy dose of humanity and to make Prosek a safe place where people enjoy the work and each other. Our Beliefs on Culture, Diversity & Belonging: We are committed to building a diverse workforce reflecting and embracing diversity of all kinds - diversity of geography, cognitive diversity, race, ethnicity, age, gender identity, sexual orientation, political affiliation, socioeconomic backgrounds. We believe having teams that represent the broader communities where we live and work creates a culture that celebrates creativity, inclusiveness and teamwork and helps us offer our global clientele of mature and emerging businesses counsel that is dynamic, rich and nuanced. The anticipated salary range for this position is $150,000-175,000. An employee's salary is determined by a range of factors including but not limited to relevant experience, qualifications, skills, seniority, geographic location, performance, and business or organizational needs. The range listed is one component of Prosek's total compensation package for employees. Other rewards may include medical, dental and vision coverage, 401(k) matching, new business commission, paid time off, and other benefits. Prosek Partners provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Follow us: Website | Twitter | LinkedIn | Facebook | Instagram #LI-HYBRID", "summaryDescription" : "Vice President, Research and Insights at Prosek Partners. Skills: Research and analytics, AI analytics, Data insights. Lead integrated client teams. Ensure data-driven planning", "postedDate" : "2026-06-12T21:57:18.569", "createdAt" : "2026-06-12T21:57:18.569", "lastUpdated" : "2026-06-15T00:27:53.965", "ingestTimestamp" : "2026-06-12T21:57:18.569", "mongoId" : "6a2c5e4974d8ee00a08e2c07", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 150000, "salaryAnnualMax" : 175000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Quantitative research", "Statistical analysis", "Writing skills", "Presentation skills", "Leadership", "Mentoring", "Research and analytics", "AI analytics", "Data insights", "Data-driven planning", "Client counseling", "Research methodologies", "Predictive risk", "Crisis assessment", "Whitespace analyses", "Narrative intelligence", "Influencer identification", "Audience analysis", "New business proposals", "Data integration", "Data visualization", "RFP responses", "Proposal writing", "Communications channels", "Financial services", "Professional services", "B2B communications", "Talkwalker", "SignalAI", "StatSocial", "Microsoft Suite", "Looker", "Tableau", "PowerBI" ], "skillCount" : 34, "jobCategory" : "other", "jobSubcategory" : "dna", "dataQualityScore" : 0.8888889, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Communications" }, { "id" : "6a2135ba74d8ee00a0b8847f", "title" : "Media Monitoring and Real-Time Insights Specialist", "company" : "TruePoint Communications", "industry" : "Media", "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-16T04:51:38.299", "fingerprint" : "cd477b964e79e47aa246e3314df97930915aa5481c61ccdee6aec5a934767ee9", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://truepoint-communications.breezy.hr/p/6e72aba2060f-media-monitoring-and-real-time-insights-specialist", "externalId" : "6e72aba2060f", "industryFunction" : { }, "structuredLocations" : [ { "country" : "united states", "source" : "country_code_strategy", "geo" : "39.8283,-98.5795" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "rawDescription" : "Our product is our people, and we’re committed to propelling them forward! Are you the next great TruePointer to join our team? Do you enjoy working in a fast-paced environment where you’re doing valuable work and discovering something new every day—even if you have a tenured career?  You’re a True", "summaryDescription" : "Media Monitoring and Real-Time Insights Specialist at TruePoint Communications", "createdAt" : "2026-06-14T20:27:27.489", "lastUpdated" : "2026-06-16T04:51:38.299", "ingestTimestamp" : "2026-06-14T20:27:27.489", "mongoId" : "6a2135ba74d8ee00a0b8847f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Mid", "dataQualityScore" : 0.5555556, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.0 }, { "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, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "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. 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Defence equipment; Weapon systems; Defence procurement; Geopolitical factors; Military factors; Economic factors", "domainList" : [ "aerospace-and-defence", "defence-equipment", "weapon-systems", "defence-procurement", "geopolitical-factors", "military-factors", "economic-factors" ], "domainSpecificKnowledge" : [ "Aerospace and Defence", "Defence equipment", "Weapon systems", "Defence procurement", "Geopolitical factors", "Military factors", "Economic factors" ], "toolProficiency" : [ "Microsoft Excel", "Microsoft Word", "Microsoft PowerPoint", "Power BI" ], "communicationSkills" : "Written communication; Verbal communication", "documentationSkills" : "Documentation", "continuousLearning" : "LinkedIn Learning", "problemSolvingSkills" : "Problem solving", "qualificationsBasic" : "2+ years experience, Advanced Microsoft Excel, Advanced Microsoft Word, Advanced Microsoft PowerPoint, Postgraduate degree", "qualificationsPreferred" : "Experience in Aerospace and Defence, Experience in visualization tools, Degree in defense studies, Technical business background", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Janes Introduction: Janes equips defence, government, and industry leaders with objective, accurate, and shareable data and analysis. Our experts combine advanced technology with proven tradecraft to deliver validated and contextual intelligence to assess threats, accelerate decisions, and anticipate change with confidence. We deliver our intelligence with the flexibility to fuse it with multiple sources in any system, enrich AI solutions, or access it through our portal. Job purpose: Jane’s delivers best in class defence forecasting through data driven identification of global market opportunities. By applying a rigorous bottom-up methodology with fully documented sources, comments, and assumptions, our dataset ensures that customer can confidently: Identify and capture new opportunities with data driven forecasts which allow you to uncover market growth Stay ahead of the competition with expert assessments of global contract opportunities that are yet to be announced Analyse market trends and drivers to shape your go-to-market strategy We are now recruiting for a Research Analyst in the domain of Aerospace & Defence, who will be responsible for maintaining and updating market forecast and company intelligence databases in an analytically rigorous fashion, taking into account industry insight, as well as related geopolitical, military, and economic factors. How you will contribute at Janes: Conduct market research (qualitative and quantitative), statistical analyses, and business intelligence to support extrapolation of market forecast. To be able to establish linkages and relationships between various defence equipment and weapon systems in terms of form fit, pricing, requirement and operability. Identifying and analyzing contracts in aerospace and defence domain. Monitoring news insights and press releases with respect to opportunities of defence procurement and policies. To be able to identify gaps in the existing database and be able to conduct monthly audits with respect to various parameters of the database. To be able to sift through large amount of data in excel and be able to parse information. Prepare monthly reports documenting specific database changes and maintain worklogs. The ideal skills and experience for this role are: 2+ years of experience in the domain of market forecast and open-source intelligence with a view of tracking contracts, tenders, price information. Past experience in the domain of Aerospace and Defence will be considered as an added advantage. Experience of working within a data environment (databases, data transformation, data validation or similar). Computer competency that includes an advanced working knowledge of Microsoft Excel, Word and PowerPoint applications. Experience in visualization tools such as Power BI would be an added advantage. Proven record of undertaking project orientated work to strict deadlines. Ability to quickly adapt and work with new information technology applications. Excellent written and verbal communication skills. Excellent attention to detail and a logical approach to problem solving. A must have. Qualification – Postgraduate. Degree in defense studies or related field with combination of technical/business background will be an added advantage. Benefits India Annual health checkup National Pension scheme Meal Card (Sodexo) Healthy Half (0.5 day leave every 6 months for wellbeing) 22 days of annual leave Transportation allowance Day care / Creche Reimbursement Group Medical Claim Access to LinkedIn Learning Life at Janes We believe Janes is truly a great place to work. Our values and leadership code drive everything we do, and we understand that the right behaviours and culture will always result in the best outcomes for our customers, our colleagues, our shareholders, and our business. We provide a supportive, stretching, and dynamic environment with the ability for you to grow rapidly, both personally and professionally. Janes is an inclusive and equal opportunities employer and encourages applications regardless of age, race, disability, religion / belief, sexual orientation, gender reassignment, marriage or civil partnership, pregnancy/maternity, or gender. Although this role is advertised as full time, Janes believed that flexibility at work can provide many significant benefits both to our colleagues and the business. We already work in a hybrid style across all offices and regions and can support different ways of working and offer different flexible working arrangements. So, if you are interested and have any requirements or needs in the way you would like to work, please apply, and speak to us about this. We will always consider part time or flexible applications Job Applicants - Privacy Policy Know your rights document", "summaryDescription" : "Research Analyst - Defence Industry and Market Forecast at Janes. Skills: Market forecast, Data analysis, Defence industry. Maintain market forecast databases. Update company intelligence databases", "postedDate" : "2026-06-14T21:47:03.810", "createdAt" : "2026-06-14T21:47:03.810", "lastUpdated" : "2026-06-16T03:29:08.884", "ingestTimestamp" : "2026-06-14T21:47:03.810", "mongoId" : "6a2c6bce74d8ee00a0914af2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Quantitative analysis", "Market forecast", "Open-source intelligence", "Contract tracking", "Tender tracking", "Price information", "Database management", "Data analysis", "Geopolitical analysis", "Military analysis", "Economic analysis", "Defence industry", "Market research", "Statistical analysis", "Business intelligence", "Data validation", "Data transformation", "Project management", "Aerospace and Defence", "Defence equipment", "Weapon systems", "Defence procurement", "Geopolitical factors", "Military factors", "Economic factors", "Microsoft Excel", "Microsoft Word", "Microsoft PowerPoint", "Power BI" ], "skillCount" : 29, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Defense", "llmIndustryConfidence" : 0.95 }, { "id" : "6a1683dd58b93c861eae69cb", "title" : "Voice and Chat Customer Support", "company" : "Support Services Group", "salary" : { "min" : 1080000.0, "max" : 1560000.0, "currency" : "JMD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Entry-level voice and chat customer support roles in Kingston, Jamaica, typically range from JMD 1,080,000 to JMD 1,560,000 annually, based on 2024-2025 market data for the customer support industry." }, "location" : "Kingston, JM", "locations" : [ "Kingston", "JM" ], "timestamp" : "2026-06-15T22:52:29.391", "fingerprint" : "4f6ae0e296beb50910f2a62d0981c4c812e73f3e568ae5acf3f7d6192512de0d", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://ssg-corp.breezy.hr/p/134045a3cb25-voice-and-chat-customer-support", "externalId" : "134045a3cb25", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Kingston", "state" : "Saint Andrew", "country" : "Jamaica", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "17.9841723,-76.8057525" } ], "locationText" : "Kingston, Saint Andrew, Jamaica", "employmentType" : "FULL_TIME", "coreResponsibilities" : "Field customer inquiries, Address customer pain points, Maintain product knowledge", "outcomesObjectives" : "Drive customer satisfaction", "qualificationsBasic" : "Extensive product knowledge", "workSiteFlexibility" : "Onsite", "rawDescription" : "Support Services Group is looking for customer service representatives to join our team in our Kingston, Jamaica office. This person will drive customer satisfaction by fielding inquiries, addressing pain points, and maintaining extensive product knowledge. This role would include email, voice and", "summaryDescription" : "Voice and Chat Customer Support at Support Services Group. Field customer inquiries. Address customer pain points", "createdAt" : "2026-06-14T21:53:59.292", "lastUpdated" : "2026-06-15T22:52:29.391", "ingestTimestamp" : "2026-06-14T21:53:59.292", "mongoId" : "6a1683dd58b93c861eae69cb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "sales", "jobSubcategory" : "customer_success", "seniorityLevel" : "Entry", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Customer Support", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2176ba74d8ee00a0c1ab40", "title" : "Sr. Data Engineer, Deal Tooling and Insights, Strategic Customer Engagements", "company" : "Amazon Web Services, Inc.", "industry" : "Data Science, Data Engineering, Cloud Computing", "salary" : { "min" : 154600.0, "max" : 209100.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T02:43:46.876", "fingerprint" : "c76a879dbeb4f0eeb72cf66e4c547429421b00054afd935d73d1f1a16fec4b89", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10439451/apply", "externalId" : "fc4812aa-f855-45de-94e4-9841e411fe26", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AWS, GenAI, LLM, Python, Java, Scala, NodeJS, Hadoop, Hive, Spark, EMR", "professionalSkills" : [ "Data modeling", "Data warehousing", "ETL pipeline development", "Data architecture", "Data transformation", "Data quality", "Data pipelines", "Feature stores", "Data products" ], "hardSkillsList" : [ "Data engineering", "Data modeling", "Data warehousing", "ETL pipelines", "SQL", "Scripting language", "Programming language", "Data infrastructure", "Data models", "Data quality monitoring", "Data validation", "Data auditing", "Data pipelines", "LLM data pipelines", "Data products", "Feature stores", "GenAI applications" ], "hardSkills" : [ { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "ETL pipelines", "level" : "intermediate" }, { "name" : "SQL", "level" : "intermediate" }, { "name" : "Scripting language", "level" : "intermediate" }, { "name" : "Programming language", "level" : "intermediate" }, { "name" : "Data infrastructure", "level" : "intermediate" }, { "name" : "Data models", "level" : "intermediate" }, { "name" : "Data quality monitoring", "level" : "intermediate" }, { "name" : "Data validation", "level" : "intermediate" }, { "name" : "Data auditing", "level" : "intermediate" }, { "name" : "Data pipelines", "level" : "intermediate" }, { "name" : "LLM data pipelines", "level" : "intermediate" }, { "name" : "Data products", "level" : "intermediate" }, { "name" : "Feature stores", "level" : "intermediate" }, { "name" : "GenAI applications", "level" : "intermediate" } ], "majorSkills" : "Data engineering, Data platform development, GenAI data solutions", "majorSkillsList" : [ "Data engineering", "Data platform development", "GenAI data solutions" ], "coreResponsibilities" : "Build backend data infrastructure, Maintain backend data infrastructure, Ensure data is clean, Ensure data is fresh, Optimize data for consumption, Lead architectural improvements, Simplify complex data systems, Simplify data transformations, Address data infrastructure deficiencies, Translate business problems to requirements, Partner with BIEs and product management, Define data products, Ensure data quality, Monitor data pipelines, Validate data pipelines, Audit data pipelines, Document data pipelines, Document data sources, Leverage AWS services, Leverage GenAI, Build next-generation data solutions, Improve efficiency, Unlock analytical capabilities, Build LLM data pipelines, Create data products for GenAI, Create feature stores for GenAI, Serve GenAI applications, Lead design reviews, Participate in design reviews", "teamCollaboration" : "Collaboration with Product Managers; Collaboration with BIEs; Collaboration with business partners; Partnering with stakeholders", "domainKnowledge" : "AWS services; GenAI; LLM", "domainList" : [ "aws-services", "genai", "llm" ], "domainSpecificKnowledge" : [ "AWS services", "GenAI", "LLM" ], "toolProficiency" : [ "AWS services", "GenAI" ], "communicationSkills" : "Business communication skills", "documentationSkills" : "Documentation of pipelines; Documentation of data sources", "innovationCreativity" : "Build next-generation data solutions; Unlock new analytical capabilities", "problemSolvingSkills" : "Translate business problem statements; Address deficiencies", "qualificationsBasic" : "5+ years data engineering, Data modeling experience, Warehousing experience, Building ETL pipelines, SQL experience, Python, Java, Scala, or NodeJS experience, Mentoring team members", "qualificationsPreferred" : "Big data technologies experience, Hadoop experience, Hive experience, Spark experience, EMR experience, Large data warehouses experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you passionate about leveraging data to deliver actionable insights that impact the daily business decisions of AWS? Do you want to have an impact on making strategic deals come to life? If so, we are looking for a Sr. Data Engineer to join the Strategic Customer Engagements team to develop a scalable data analytics platform. The Strategic Customer Engagements Deal Team works with our customers on commercial private pricing opportunities to meet their desired business outcomes while ensuring alignment with AWS business objectives. In this role, you will be responsible for end-to-end development of data engineering solutions from the ground up. You should have expertise in the creation and management of datasets and the proven ability to translate data into meaningful insights through collaboration with Product Managers, Business Intelligence Engineers (BIEs), and business partners. You should be passionate about designing scalable analytics solutions for a fast-growing business. This is a high-visibility role. The right candidate will possess excellent business and communication skills, be able to work with business owners to translate business problem statements into technical requirements. You should have a solid understanding of how to build efficient and scalable data infrastructure and data models. The role will leverage generative AI and AWS services to raise the bar on how the team consumes and acts on data and build the next generation of AI-enabled data platform. Key job responsibilities - Build and maintain backend data infrastructure for analytical platforms and applications, ensuring data is clean, fresh, and optimized for downstream consumption - Lead architectural improvements that simplify complex data systems and transformations and proactively address deficiencies that create bottlenecks in the data infrastructure - Translate business problem statements into technical data requirements, partnering with BIEs and product management and stakeholders to define what data products to build - Ensure data quality through monitoring, validation, auditing, and documentation of pipelines and data sources - Leverage AWS services and GenAI to build next-generation data solutions that improve efficiency and unlock new analytical capabilities - Build data pipelines purpose-built for LLM consumption and create data products and feature stores that serve GenAI applications in near real-time - Lead design reviews for your team's data architecture and actively participate in design reviews of related software and data systems Basic Qualifications: - 5+ years of data engineering experience - Experience with data modeling, warehousing and building ETL pipelines - Experience with SQL - Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS - Experience mentoring team members on best practices Preferred Qualifications: - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR - Experience operating large data warehouses 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 - 170,000.00 - 230,000.00 USD annually USA, VA, Arlington - 154,600.00 - 209,100.00 USD annually USA, WA, Seattle - 154,600.00 - 209,100.00 USD annually", "summaryDescription" : "Sr. Data Engineer, Deal Tooling and Insights, Strategic Customer Engagements at Amazon Web Services, Inc.. Skills: Data engineering, Data platform development, GenAI data solutions. Build backend data infrastructure. Maintain backend data infrastructure", "postedDate" : "2026-06-13T05:06:17.324", "createdAt" : "2026-06-13T05:06:17.324", "lastUpdated" : "2026-06-15T02:43:46.876", "ingestTimestamp" : "2026-06-13T05:06:17.324", "mongoId" : "6a2176ba74d8ee00a0c1ab40", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10439451/apply", "salaryAnnualMin" : 154600, "salaryAnnualMax" : 209100, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data engineering", "Data modeling", "Data warehousing", "ETL pipelines", "SQL", "Scripting language", "Programming language", "Data infrastructure", "Data models", "Data quality monitoring", "Data validation", "Data auditing", "Data pipelines", "LLM data pipelines", "Data products", "Feature stores", "GenAI applications", "Data platform development", "GenAI data solutions", "ETL pipeline development", "Data architecture", "Data transformation", "Data quality", "AWS services", "GenAI", "LLM" ], "skillCount" : 26, "jobCategory" : "data", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a3058bdf292fd229cf43fac", "title" : "Customer Service and Sales Representative - Seasonal", "company" : "Sourcefit", "salary" : { "min" : 315000.0, "max" : 420000.0, "currency" : "PHP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Entry-level Customer Service and Sales Representative in Quezon City, Philippines, adjusted for the Outsource industry and contract employment type." }, "location" : "Bridgetowne Quezon City, PH", "locations" : [ "Bridgetowne Quezon City", "PH" ], "timestamp" : "2026-06-16T08:09:38.877", "fingerprint" : "63ce3206f04ba697035ba2fdcc8e0d767f715cfef9fdb34af6e47343613b1625", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://sourcefit.breezy.hr/p/01cfd0244d48-customer-service-and-sales-representative-seasonal", "externalId" : "01cfd0244d48", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Quezon City", "state" : "Metro Manila", "country" : "Philippines", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "14.6510546,121.0486254" } ], "locationText" : "Quezon City, Metro Manila, Philippines", "employmentType" : "CONTRACT", "coreResponsibilities" : "Provide customer service, Process sales orders, Handle customer inquiries, Upsell products and services, Meet sales targets", "communicationSkills" : "Customer service; Sales", "outcomesObjectives" : "Meet sales targets", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "summaryDescription" : "Customer Service and Sales Representative - Seasonal at Sourcefit. 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Headquarters 1 (HCA_HQ1)
3161 Michelson Dr. Ste 1900
Irvine, 92612

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Builds and oversees the full ecosystem of customer feedback to uncover actionable insights, identify experience gaps, and guide business stakeholders toward data-driven, customer-focused improvements.", "teamCollaboration" : "Facilitate cross-functional alignment and embed customer-driven decision-making.", "toolProficiency" : [ "Glassbox, Microsoft Office" ], "communicationSkills" : "executive-level communication; storytelling; executive presentation", "problemSolvingSkills" : "analytical; problem-solving", "specialRequirements" : "Work model is onsite 4 days a week. Compliance with all applicable federal, state, and local equal employment opportunity laws. California Privacy Notice provided.", "outcomesObjectives" : "Identify customer pain points and journey friction by connecting insights across touchpoints, behavioral data, and feedback signals. Develop dashboards, scorecards, and executive reporting that shift from reactive reporting to proactive, predictive CX management. Establish proactive monitoring and predictive analytics to detect emerging CX risks. Design and manage closed-loop feedback systems to ensure resolution and measurable improvements.", "qualificationsBasic" : "8+ years in customer insights, CX analytics, research, VoC, or CX strategy. 3+ years of leadership experience. Predictive analytics experience related to customer behavior or journey risk. Experience managing qualitative, quantitative, and behavioral research programs. Proven ability to influence senior stakeholders and lead cross-functional initiatives. Executive-level communication experience. Bachelor’s degree in relevant field required.", "qualificationsPreferred" : "Advanced degree preferred. Familiarity with CX tools (e.g., Glassbox).", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Job Title: Sr. Manager, Customer Performance & Insights Hyundai Capital America (HCA) helps people move forward. Through Hyundai Motor Finance, Genesis Finance, and Kia Finance, we deliver innovative financing, leasing, and insurance solutions to more than 3 million customers and businesses nationwide. We’re a company driven by growth, innovation, and people. At HCA, you’ll find opportunities to build new skills, expand your career, and make a real impact—while working in a diverse, inclusive, and values driven environment. We’re proud to support our communities through volunteerism, philanthropy, and engaged Employee Resource Groups. If you’re looking for a fast paced, collaborative workplace where your ideas matter, join us as we lead the future of financing freedom of movement. Apply today. WORK MODEL #LI-OnSite (4 days a week) WHAT YOU WILL DO The Sr. Manager, Customer Performance & Insights is a strategic analytics leader responsible for delivering a comprehensive, real-time view of customer experience performance across the enterprise. This role builds and oversees the full ecosystem of customer feedback—both stated and unstated—to uncover actionable insights, identify experience gaps, and guide business stakeholders toward data-driven, customer-focused improvements. HOW YOU WILL MAKE AN IMPACT Own and evolve the enterprise CX Health measurement framework, integrating feedback across channels to deliver a holistic view of customer experience Identify customer pain points and journey friction by connecting insights across touchpoints, behavioral data, and feedback signals Develop dashboards, scorecards, and executive reporting that shift from reactive reporting to proactive, predictive CX management Lead customer research and analytics programs, translating findings into actionable, prioritized recommendations Integrate insights from social media, call centers, complaints, operational data, and tools like Glassbox Establish proactive monitoring and predictive analytics to detect emerging CX risks Facilitate cross-functional alignment and embed customer-driven decision-making Design and manage closed-loop feedback systems to ensure resolution and measurable improvements Influence senior stakeholders through storytelling and data-backed recommendations Lead, mentor, and develop a high-performing team WHAT YOU WILL BRING TO THE ROLE Experience: 8+ years in customer insights, CX analytics, research, VoC, or CX strategy 3+ years of leadership experience Predictive analytics experience related to customer behavior or journey risk Experience managing qualitative, quantitative, and behavioral research programs Proven ability to influence senior stakeholders and lead cross-functional initiatives Executive-level communication experience Education: Bachelor’s degree in relevant field required Advanced degree preferred Skills & Knowledge: Expertise in customer insights, VoC, and CX measurement Strong analytical and problem-solving skills Experience with SQL, Python, or predictive modeling tools Ability to translate data into actionable strategies Familiarity with CX tools (e.g., Glassbox) Strong storytelling and executive presentation skills Stakeholder management in matrixed environments Advanced Excel and Microsoft Office skills Strong communication and leadership abilities WE TAKE CARE OF OUR PEOPLE Along with competitive pay, as an employee of HCA, you are eligible for: · Medical, dental, and vision plans with no-cost and low-cost options · Annual employer HSA contribution · 401(k) matching and immediate vesting · Vehicle purchase and lease discounts, plus monthly vehicle allowances by job level: o Associate / Sr. Associate: $350 o Manager / Sr. Manager: $600 o Director: $800 o Executive Director: $900 o VP or Above: $1,000 · 100% employer-paid life and disability insurance · No-cost health and wellbeing programs, including a gym benefit · Six weeks of paid parental leave · Paid Volunteer Time Off, plus a company donation to a charity of your choice WHAT HAPPENS NEXT Express your interest by submitting an application. Our recruiting team will review your application to assess alignment with the role. Visit our careers page to learn more about our culture. OTHER DETAILS Work Environment & Physical Requirements: Extended sitting, standing, and screen time in a hybrid work environment (office and remote). Our Company is an equal opportunity employer committed to fostering a diverse, inclusive, and respectful workplace—because we believe diversity builds stronger teams. We comply with all applicable federal, state, and local equal employment opportunity laws and do not discriminate on the basis of race, religion or creed, color, national origin, ancestry, caste, citizenship, sex or gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, medical condition, genetic information, marital status, family care or medical leave status, military or veteran status, political affiliation, or any other characteristic protected by law. Information provided during the application process is requested in good faith and will be used solely in accordance with applicable employment laws. California Privacy Notice This notice only applies to our applicants who reside in the State of California. The latest version of our Privacy Policy can be found here . This Privacy Policy provides you with notice, at or before the point of collection, about the categories of personal information to be collected from you, the purposes for which your personal information is collected or used, and whether that information is sold or shared, so that you can exercise meaningful control over our use of your personal information. We are providing this notice to comply with the California Consumer Privacy Act of 2018, as amended as amended by the California Privacy Rights Act of 2020 (“CCPA”). If you have any questions about CCPA regarding California residents or HCA team members, please contact the Privacy Team at Privacy2@hcs.com . United States-California-Irvine", "summaryDescription" : "Sr. Manager, Customer Performance & Insights at Hyundai Capital America. Skills: customer insights, CX analytics, predictive analytics, stakeholder management, leadership. Responsible for delivering a comprehensive, real-time view of customer experience performance across the enterprise. Builds and oversees the full ecosystem of customer feedback to uncover actionable insights, identify experience gaps, and guide business stakeholders toward data-driven, customer-focused improvements.", "createdAt" : "2026-06-14T20:47:45.690", "lastUpdated" : "2026-06-15T13:57:07.233", "ingestTimestamp" : "2026-06-14T20:47:45.690", "mongoId" : "6a0f529b58b93c861e052fca", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "SQL", "Python", "leadership", "customer insights, CX analytics, predictive analytics, stakeholder management, leadership", "Customer experience, financing, leasing, insurance solutions.", "Glassbox, Microsoft Office" ], "skillCount" : 6, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.95 }, { "id" : "6a25145a74d8ee00a00bb4fb", "title" : "Data 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"Manager", "technicalSkills" : "Redshift, ETL, ELT, Data modeling, Python, Java, Scala, NodeJS, Hadoop, Hive, Spark, EMR, AWS, S3, EC2, Lambda, GenAI, ML", "professionalSkills" : [ "Data governance", "Data quality", "Data reliability", "Business intelligence", "Data architecture", "Pipeline solutions", "Audience segmentation", "Content analysis", "Experimentation automation", "Marketing optimization", "Audience strategy", "Programming decisions" ], "hardSkillsList" : [ "Data pipeline development", "Data infrastructure management", "Platform capabilities", "Performance optimization", "Cost efficiency", "Scalability management", "Monitoring implementation", "Alerting implementation", "SLA implementation", "Data quality frameworks", "Cross-functional partnership", "Roadmap reviews", "Incident response", "Continuous improvement" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Data pipeline development", "level" : "intermediate" }, { "name" : "Data infrastructure management", "level" : "intermediate" }, { "name" : "Platform capabilities", "level" : "intermediate" }, { "name" : "Performance optimization", "level" : "intermediate" }, { "name" : "Cost efficiency", "level" : "intermediate" }, { "name" : "Scalability management", "level" : "intermediate" }, { "name" : "Monitoring implementation", "level" : "intermediate" }, { "name" : "Alerting implementation", "level" : "intermediate" }, { "name" : "SLA implementation", "level" : "intermediate" }, { "name" : "Data quality frameworks", "level" : "intermediate" }, { "name" : "Cross-functional partnership", "level" : "intermediate" }, { "name" : "Roadmap reviews", "level" : "intermediate" }, { "name" : "Incident response", "level" : "intermediate" }, { "name" : "Continuous improvement", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Data Engineering, AI/ML, Data Platform, Team Leadership", "majorSkillsList" : [ "Data Engineering", "AI/ML", "Data Platform", "Team Leadership" ], "coreResponsibilities" : "Lead and develop senior data engineers, Hire senior data engineers, Mentor senior data engineers, Set technical direction, Manage performance of engineers, Manage growth opportunities for engineers, Own data platform strategy, Own data platform roadmap, Manage Redshift infrastructure, Optimize Redshift infrastructure, Ensure Redshift performance, Ensure Redshift cost efficiency, Ensure Redshift availability, Ensure Redshift scalability, Own data pipelines for AI tools, Ensure reliable data flows, Ensure high-quality data flows, Drive data engineering for applications, Establish data governance standards, Enforce data governance standards, Establish data quality standards, Enforce data quality standards, Establish data reliability standards, Enforce data reliability standards, Implement monitoring, Implement alerting, Implement SLAs, Implement data quality frameworks, Partner cross-functionally, Translate business requirements, Design scalable data architecture, Design pipeline solutions, Represent data engineering in forums, Contribute to annual planning, Contribute to QBRs, Contribute to roadmap reviews, Communicate trade-offs, Communicate capacity constraints, Communicate investment needs, Drive operational excellence, Own on-call processes, Manage incident response, Manage COE follow-ups, Improve operational posture", "teamCollaboration" : "Product managers; Data scientists; Analytics; BI engineers; Software engineers; Content programmers; Marketing strategists; Senior leadership", "projectManagementSkills" : [ "Roadmap planning", "Annual planning", "QBRs" ], "domainKnowledge" : "Prime Video; Audience Insights; Streaming services; Content programming; Marketing optimization; Audience growth; AI Tooling; Automation; Audience Infrastructure; Customer journey; Marketplace intelligence; Competitive intelligence; Digital creative production; Ad serving; Cross-channel attribution; Media analytics", "domainList" : [ "prime-video", "audience-insights", "streaming-services", "content-programming", "marketing-optimization", "audience-growth", "ai-tooling", "automation", "audience-infrastructure", "customer-journey", "marketplace-intelligence", "competitive-intelligence", "digital-creative-production", "ad-serving", "cross-channel-attribution", "media-analytics" ], "domainSpecificKnowledge" : [ "Prime Video", "Audience Insights", "Streaming services", "Content programming", "Marketing optimization", "Audience growth", "AI Tooling", "Automation", "Audience Infrastructure", "Customer journey", "Marketplace intelligence", "Competitive intelligence", "Digital creative production", "Ad serving", "Cross-channel attribution", "Media analytics" ], "toolProficiency" : [ "Redshift clusters", "Jenkins", "Bamboo", "TeamCity", "Code Deploy", "GitLab" ], "communicationSkills" : "Verbal communication; Written communication", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "specialRequirements" : "On-call processes", "qualificationsBasic" : "7+ years data engineering experience, Experience managing data/BI team, 5+ years processing data with massively parallel technology, 3+ years developing/operating large-scale data structures for BI analytics, Experience leading/influencing data/BI strategy, Experience communicating to senior management, Experience communicating to customers, Experience in scripting or programming language", "qualificationsPreferred" : "Experience with big data technologies, Experience with AWS Tools, Experience working with Data & AI technologies, Knowledge of digital creative production, Knowledge of ad serving, Knowledge of cross-channel attribution, Knowledge of media analytics, Experience developing cloud native CI/CD workflows", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming across thousands of devices, from award-winning Amazon MGM Studios originals to live sports, channels, and TVOD. Behind the content our customers love is a team shaping what gets released, when, and for whom. The US Planning & Audience Insights team is where strategy meets data meets AI: we build the tools and intelligence that power programming decisions, audience growth, and marketing optimizations. We’re looking for a Data Engineering Manager to lead the Data Engineering function within Prime Video’s US Planning & Audience Insights team. This team defines Prime Video’s north star (long-term strategy, priority audiences, and growth objectives) and delivers the customer intelligence, analytics, and AI-powered solutions that enable the organization to achieve them. You’ll lead a team of senior data engineers and own the data infrastructure, pipelines, and platform capabilities that power our analytics, AI tools, and business-critical applications. Your team’s work directly enables content programming, marketing optimization, and audience strategy for one of the world’s largest streaming services. This requires you to balance competing priorities, manage complex stakeholder relationships, and work shoulder-to-shoulder with product managers, data scientists, and analytics to deliver scalable data solutions at pace. Key job responsibilities • Lead and develop a team of senior data engineers, hiring, mentoring, setting technical direction, managing performance and growth opportunities. • Own the data platform strategy and roadmap for the team’s portfolio, including multiple Redshift clusters, ETL/ELT pipelines, and data models that serve analytics, data science, and business stakeholders. • Manage and optimize Redshift infrastructure, ensuring performance, cost efficiency, availability, and scalability across multiple clusters serving diverse business lines. • Own data pipelines for AI-powered tools, ensuring reliable, high-quality data flows that power the team’s GenAI and ML applications including content analysis, audience segmentation, and experimentation automation. • Drive data engineering for business-critical applications, including dashboards and other internal self developed software products. • Establish and enforce data governance, quality, and reliability standards, implementing monitoring, alerting, SLAs, and data quality frameworks across the team’s data assets. • Partner cross-functionally with product managers, data scientists, BI engineers, and software engineers to translate business requirements into scalable data architecture and pipeline solutions. • Represent data engineering in planning and leadership forums, contributing to annual planning, QBRs, and roadmap reviews. Communicate trade-offs, capacity constraints, and investment needs clearly to senior leadership. • Drive operational excellence, owning on-call processes, incident response, COE follow-ups, and continuous improvement of the team’s operational posture. About the team The US Planning & Audience Insights team sits within US Prime Video. We operate across six functions: Business Planning, Product-Tech, Analytics, Data Science, Data Engineering, and Research. Our stakeholders span content programming, content acquisition, marketing, and PV senior leadership. Our 2026 roadmap is anchored in two investment themes (AI Tooling & Automation and Audience Infrastructure & Insights) spanning content optimization, experimentation, marketing, customer journey, marketplace, and competitive intelligence. Our products serve content programmers, marketing strategists, and senior leadership. We build tools that help PV decide what to release, when to release it, who to target, and how to measure success at scale. Basic Qualifications: - 7+ years of data engineering experience - Experience managing a data or BI team - 5+ years of processing data with a massively parallel technology (such as Redshift, Teradata, Netezza, Spark or Hadoop based big data solution) experience - 3+ years of developing and operating large-scale data structures for business intelligence analytics (using ETL/ELT processes) experience - Experience leading and influencing the data or BI strategy of your team or organization - Experience communicating to senior management and customers verbally and in writing - Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS Preferred Qualifications: - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR - Experience with AWS Tools and Technologies (Redshift, S3, EC2) - Experience working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage - Knowledge of digital creative production, ad serving, cross-channel attribution, and media analytics - Experience developing cloud native CI/CD workflows and tools, such as Jenkins, Bamboo, TeamCity, Code Deploy (AWS) or GitLab Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, Culver City - 170,000.00 - 230,000.00 USD annually USA, WA, SEATTLE - 170,000.00 - 230,000.00 USD annually", "summaryDescription" : "Data Engineering Manager, Planning and Audience Insights at Amazon.com Services LLC. Skills: Data Engineering, AI/ML, Data Platform, Team Leadership. Lead and develop senior data engineers. Hire senior data engineers", "postedDate" : "2026-06-13T10:46:12.112", "createdAt" : "2026-06-13T10:46:12.112", "lastUpdated" : "2026-06-15T03:17:28.355", "ingestTimestamp" : "2026-06-13T10:46:12.112", "mongoId" : "6a25145a74d8ee00a00bb4fb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10441155/apply", "salaryAnnualMin" : 170000, "salaryAnnualMax" : 230000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data pipeline development", "Data infrastructure management", "Platform capabilities", "Performance optimization", "Cost efficiency", "Scalability management", "Monitoring implementation", "Alerting implementation", "SLA implementation", "Data quality frameworks", "Cross-functional partnership", "Roadmap reviews", "Incident response", "Continuous improvement", "Leadership", "Mentoring", "Data Engineering", "AI/ML", "Data Platform", "Team Leadership", "Data governance", "Data quality", "Data reliability", "Business intelligence", "Data architecture", "Pipeline solutions", "Audience segmentation", "Content analysis", "Experimentation automation", "Marketing optimization", "Audience strategy", "Programming decisions", "Roadmap planning", "Annual planning", "QBRs", "Prime Video", "Audience Insights", "Streaming services", "Content programming", "Audience growth", "AI Tooling", "Automation", "Audience Infrastructure", "Customer journey", "Marketplace intelligence", "Competitive intelligence", "Digital creative production", "Ad serving", "Cross-channel attribution", "Media analytics", "Redshift clusters", "Jenkins", "Bamboo", "TeamCity", "Code Deploy", "GitLab" ], "skillCount" : 56, "jobCategory" : "data", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2c6cbf74d8ee00a091b219", "title" : "Administrative and Customer Support Specialist", "company" : "HealtheConnections", "industry" : "Healthcare", "salary" : { "min" : 48000.0, "max" : 62500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Syracuse ", "locations" : [ "Syracuse" ], "timestamp" : "2026-06-15T09:41:31.881", "fingerprint" : "68efb734d64390993858c498d24c3c2ed8f743f7c17ed0ea8814721fbc7cd9e4", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.healtheconnections.org/jobs/?gh_jid=5257248008", "externalId" : "5257248008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Syracuse", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.0481221,-76.1474244" } ], "locationText" : "Syracuse, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "CRM, Ticketing platforms, Customer support platforms", "professionalSkills" : [ "Workflow oversight", "Special project execution", "Customer guidance", "Process management", "Customer onboarding", "Credentialing", "Compliance support", "Customer experience initiatives" ], "hardSkillsList" : [ "Troubleshooting", "System documentation" ], "softSkillsList" : [ "Critical thinking", "Flexibility", "Adaptability" ], "hardSkills" : [ { "name" : "Troubleshooting", "level" : "intermediate" }, { "name" : "System documentation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Critical thinking" }, { "name" : "Flexibility" }, { "name" : "Adaptability" } ], "majorSkills" : "Customer support, Customer relationships, Customer retention, Customer satisfaction", "majorSkillsList" : [ "Customer support", "Customer relationships", "Customer retention", "Customer satisfaction" ], "coreResponsibilities" : "Serve as primary point of contact, Handle customer inquiries, Handle service requests, Handle support issues, Deliver exceptional customer experience, Be subject matter expert, Troubleshoot complex issues, Resolve complex issues, Ensure timely follow-up, Ensure timely resolution, Support categorization of tickets, Support triage of tickets, Support escalation of tickets, Support management of tickets, Maintain accurate customer records, Maintain user accounts, Maintain system documentation, Support customer onboarding, Support credentialing, Support compliance, Support customer experience initiatives", "teamCollaboration" : "Work closely with customers; Work closely with team members; Collaborative team environment", "domainKnowledge" : "Health information exchange; Health IT; Healthcare administration", "domainList" : [ "health-information-exchange", "health-it", "healthcare-administration" ], "domainSpecificKnowledge" : [ "Health information exchange", "Health IT", "Healthcare administration" ], "toolProficiency" : [ "CRM", "Ticketing systems", "Business systems" ], "communicationSkills" : "Written communication; Verbal communication", "documentationSkills" : "System documentation", "problemSolvingSkills" : "Problem-solving; Troubleshooting; Root cause analysis", "qualificationsBasic" : "5+ years customer service, 5+ years customer support, 5+ years client services, Experience with CRM, Experience with ticketing platforms, Experience with customer support platforms, Excellent written communication, Excellent verbal communication, Analytical abilities, Problem-solving abilities, Technical aptitude, Ability to learn applications, Ability to learn systems, Ability to work under pressure, Ability to meet deadlines, Ability to ensure accuracy, Proven ability to follow procedures, Experience working independently, Experience working collaboratively", "qualificationsPreferred" : "Associate's degree in Business, Associate's degree in Communications, Associate's degree in Healthcare Administration, Associate's degree in Information Technology, Equivalent experience strongly preferred, Experience in healthcare, Experience in health information exchange, Experience in health IT, Experience in medical administration, Experience in technical support", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Who: HealtheConnections, a respected national leader in providing health information exchange (HIE) services for 26 counties of NYS. What: Hiring an experienced, customer-focused professional to provide advanced support and operational leadership through troubleshooting, workflow oversight, training support, special project execution, and more across HealtheConnections’ technology services. About the Job: In this role, you will use your experience and critical thinking skills to work closely with customers to understand their needs, provide guidance on our systems and services, manage important processes, and serve as a trusted resource. This team supports one of the largest and most multi-faceted health information exchanges in the country and serves as a key resource for both customers and internal teams. Administrative and Customer Support Specialists have varied responsibilities. You will work closely with customers and team members to ensure a high-quality customer experience while supporting onboarding, compliance, customer service operations, and continuous improvement initiatives. Primary Responsibilities: Serve as a primary point of contact for customer inquiries, service requests, and support issues, delivering an exceptional customer experience through phone, email, and tickets Be a subject matter expert for Customer Services processes and how HealtheConnections’ services work. Troubleshoot and resolve complex customer issues while ensuring timely follow-up and resolution. Support the categorization, triage, escalation, and management of customer support tickets using our CRM and other business systems Maintain accurate customer records, user accounts, and system documentation. Support customer onboarding, credentialing, compliance, and customer experience initiatives. Experience Needed: Please send us a cover letter with your application. 5+ years of customer service, customer support, client services, or related experience. Experience with CRM, ticketing, or customer support platforms. Excellent written and verbal communication skills. Strong analytical and problem-solving abilities. Strong technical aptitude and ability to quickly learn new applications and systems. Ability to work under pressure, meet deadlines, and ensure accuracy. Proven ability to follow established procedures. Experience working independently and collaboratively within a team environment. Experience in healthcare, health information exchange, health IT, medical administration, or a technical support environment is a strong plus. Associate's or higher degree in Business, Communications, Healthcare Administration, Information Technology, or equivalent experience strongly preferred Not sure you meet all qualifications? Research shows that women and members of other under-represented groups tend to not apply to jobs when they think they may not meet every qualification, when, in fact, they do! We are committed to creating a diverse and inclusive environment and strongly encourage you to apply. You’re a great fit for us if you’re good at… Methodical, detail-oriented tasks Being flexible and adaptable to shifting priorities Following procedures carefully Helping someone get to the root of a problem We’re a great fit for you if you’re looking for… A high-performance, high-energy, collaborative environment. One of the best things about working here is our team. They’re smart, supportive, passionate, and among the best in the business. A dynamic industry. Health information exchange has exciting opportunities on the horizon as the healthcare industry evolves, both within NYS and on the national stage. Strong benefits. We cover the cost of medical insurance for employees along with a full suite of benefits, including 401k matching, generous vacation/holiday time, unlimited sick time, flexibility in work hours and hybrid/remote work, and more. Work that makes a difference in your community. We’re proud to make an impact on the daily lives of health professionals and support improved health outcomes for individuals right here in New York State. We like to say that we’re “casually competent” – we’re not pretentious, but we know our stuff. Our people are talented, our culture is vibrant, and our work is at the top of its class. Even better, our customers genuinely like working with us, and we’ve seen firsthand how what we do has made a positive impact on our community. $48,000-$62,500 is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. An employee’s pay position within the salary range will be based on several factors including, but not limited to, the prevailing minimum wage for the location, relevant education, qualifications, certifications, experience, skills, and seniority.", "summaryDescription" : "Administrative and Customer Support Specialist at HealtheConnections. Skills: Customer support, Customer relationships, Customer retention, Customer satisfaction. Serve as primary point of contact. Handle customer inquiries", "postedDate" : "2026-06-14T03:28:34.645", "createdAt" : "2026-06-14T03:28:34.645", "lastUpdated" : "2026-06-15T09:41:31.881", "ingestTimestamp" : "2026-06-14T03:28:34.645", "mongoId" : "6a2c6cbf74d8ee00a091b219", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 48000, "salaryAnnualMax" : 62500, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Troubleshooting", "System documentation", "Critical thinking", "Flexibility", "Adaptability", "Customer support", "Customer relationships", "Customer retention", "Customer satisfaction", "Workflow oversight", "Special project execution", "Customer guidance", "Process management", "Customer onboarding", "Credentialing", "Compliance support", "Customer experience initiatives", "Health information exchange", "Health IT", "Healthcare administration", "CRM", "Ticketing systems", "Business systems" ], "skillCount" : 23, "jobCategory" : "sales", "jobSubcategory" : "customer_success", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2176c774d8ee00a0c1adbc", "title" : "Data Engineer, WW Promotions Data and Insights", "company" : "Amazon Development Centre Canada ULC", "industry" : "Data Science, Data Engineering, north america stores", "salary" : { "min" : 103300.0, "max" : 172600.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Vancouver, British Columbia, CAN", "locations" : [ "Vancouver, British Columbia, CAN" ], "timestamp" : "2026-06-15T03:12:51.771", "fingerprint" : "be379a15adb0d165f4e7fbac44c1dc26058391c402487f29249070d19d908bff", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10438823/apply", "externalId" : "88a730ec-f4bb-4fe3-bfe8-4633080161a6", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Vancouver", "state" : "British Columbia", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "49.2608724,-123.1139520" } ], "locationText" : "Vancouver, British Columbia, Canada", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "AWS, Redshift, S3, Glue, EMR, Kinesis, Lambda, Python, Scala, Airflow", "professionalSkills" : [ "Data modeling", "Data warehousing", "ETL pipelines", "Infrastructure-as-code", "CI/CD" ], "hardSkillsList" : [ "Data processing systems", "Data pipeline performance", "Data reliability", "Cost-efficiency" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Data processing systems", "level" : "intermediate" }, { "name" : "Data pipeline performance", "level" : "intermediate" }, { "name" : "Data reliability", "level" : "intermediate" }, { "name" : "Cost-efficiency", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "Data engineering, AWS services, Data pipelines", "majorSkillsList" : [ "Data engineering", "AWS services", "Data pipelines" ], "coreResponsibilities" : "Design data processing systems, Build data processing systems, Operate data processing systems, Leverage expertise in Python, Develop custom data processing frameworks, Develop automation tools, Collaborate with data scientists, Collaborate with analysts, Collaborate with product managers, Optimize data pipeline performance, Optimize data pipeline reliability, Optimize data pipeline cost-efficiency, Mentor junior engineers, Share knowledge of data engineering, Stay up-to-date with big data technologies, Stay up-to-date with architectural patterns, Drive adoption of innovative solutions", "teamCollaboration" : "With data scientists; With analysts; With product managers", "domainKnowledge" : "Promotions data; Promotional strategies; Selling Partners; Big data technologies; Architectural patterns", "domainList" : [ "promotions-data", "promotional-strategies", "selling-partners", "big-data-technologies", "architectural-patterns" ], "domainSpecificKnowledge" : [ "Promotions data", "Promotional strategies", "Selling Partners", "Big data technologies", "Architectural patterns" ], "toolProficiency" : [ "Airflow", "Redshift", "S3", "Glue", "EMR", "Kinesis", "Lambda" ], "continuousLearning" : "Stay up-to-date with technologies; Drive adoption of solutions", "innovationCreativity" : "Drive adoption of innovative solutions", "problemSolvingSkills" : "Translate business requirements", "qualificationsBasic" : "3+ years of data engineering experience, Experience with data modeling, Experience with warehousing, Experience building ETL pipelines", "qualificationsPreferred" : "Experience with AWS technologies, Experience with non-relational databases, Usage of generative AI tools, Willingness to learn AI prompting, Ability to recognize AI opportunities", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you passionate about developing the next generation of data infrastructure capable of handling complex, mission-critical data pipelines and analytics workloads? Do you want to build next generation data engineering solutions that leverage the latest AWS technologies to process a broad range of business and customer data? Join our WW Promotions Data and Insights team, where you'll have the opportunity to continuously improve the systems that enable Amazon's promotional strategies across every major shopping event worldwide. Key job responsibilities 1. Design, build, and operate highly scalable, fault-tolerant data processing systems using modern AWS services like Redshift, S3, Glue, EMR, Kinesis, and Lambda, and orchestration systems using Airflow 2. Leverage your expertise in Python, Scala, or other modern programming languages to develop custom data processing frameworks and automation tools 3. Collaborate closely with data scientists, analysts, and product managers to understand business requirements and translate them into technical solutions 4. Continuously optimize data pipeline performance, reliability, and cost-efficiency using best practices in CI/CD and infrastructure-as-code 5. Mentor junior engineers and share your knowledge of data engineering best practices 6. Stay up-to-date with the latest big data technologies and architectural patterns, and drive the adoption of innovative solutions About the team Promotions reinforce a positive perception of Amazon’s price leadership with shoppers by complementing our everyday great prices with time-bound discounts on a broad selection of high-quality products. For Selling Partners (SPs), promotions create incremental demand for their products and increase their share of voice, clear inventory, and drive traffic to new selection. WW Promotions owns the sourcing and execution of promotions at Amazon and we are their data & analytics team. We serve as the central stewards of promotions data, delivering trusted and governed datasets that power product development, machine learning models, and business analytics across the organization. Basic Qualifications: - 3+ years of data engineering experience - Experience with data modeling, warehousing and building ETL pipelines Preferred Qualifications: - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions - Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases) - Usage of generative AI tools to enhance workflow efficiency, with a willingness to learn effective prompting and evaluation practices. - Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status. CAN, BC, Vancouver - 103,300.00 - 172,600.00 CAD annually", "summaryDescription" : "Data Engineer, WW Promotions Data and Insights at Amazon Development Centre Canada ULC. Skills: Data engineering, AWS services, Data pipelines. Design data processing systems. Build data processing systems", "postedDate" : "2026-06-13T09:12:42.868", "createdAt" : "2026-06-13T09:12:42.868", "lastUpdated" : "2026-06-15T03:12:51.771", "ingestTimestamp" : "2026-06-13T09:12:42.868", "mongoId" : "6a2176c774d8ee00a0c1adbc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10438823/apply", "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Data processing systems", "Data pipeline performance", "Data reliability", "Cost-efficiency", "Mentoring", "Data engineering", "AWS services", "Data pipelines", "Data modeling", "Data warehousing", "ETL pipelines", "Infrastructure-as-code", "CI/CD", "Promotions data", "Promotional strategies", "Selling Partners", "Big data technologies", "Architectural patterns", "Airflow", "Redshift", "S3", "Glue", "EMR", "Kinesis", "Lambda" ], "skillCount" : 25, "jobCategory" : "data", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "68c2e425f8b1b0376634c611", "title" : "Sr. Applied Scientist, Financial Insights and Actions", "company" : "Amazon Development Centre Canada ULC", "industry" : "Data Science, Applied Science, ecp", "salary" : { "min" : 195900.0, "max" : 327200.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Vancouver, British Columbia, CAN", "locations" : [ "Vancouver, British Columbia, CAN" ], "timestamp" : "2026-06-15T02:50:50.803", "fingerprint" : "90ec9c441a06a19c5d2b4c2a3d8d852aae8f09a90723afa93c472a9806b6e615", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3073810/apply", "externalId" : "657e7d3d-2f15-4c56-8767-ceeeb2f6db26", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Vancouver", "state" : "British Columbia", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "49.2608724,-123.1139520" } ], "locationText" : "Vancouver, British Columbia, Canada", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Java, C++, Python, Neural deep learning, Machine learning, R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, Hadoop, Spark, GenAI, LLMs", "professionalSkills" : [ "Financial Insights", "Financial Actions", "Accounting research", "Financial research", "Financial domain" ], "hardSkillsList" : [ "Data analysis", "Model development", "Model validation", "Model serving", "Anomaly detection", "Multi-agent systems", "LLM fine-tuning" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Model development", "level" : "intermediate" }, { "name" : "Model validation", "level" : "intermediate" }, { "name" : "Model serving", "level" : "intermediate" }, { "name" : "Anomaly detection", "level" : "intermediate" }, { "name" : "Multi-agent systems", "level" : "intermediate" }, { "name" : "LLM fine-tuning", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "Machine learning, GenAI, LLMs, Financial analysis", "majorSkillsList" : [ "Machine learning", "GenAI", "LLMs", "Financial analysis" ], "coreResponsibilities" : "Leverage GenAI/LLMs build agentic solutions, Build AI trust safety, Establish scalable automated processes, Develop training evaluation datasets, Collaborate with engineering productionalize research, Define science direction, Influence senior leadership, Mentor grow scientists, Develop anomaly detection models, Build multi-agent systems, Fine-tune LLMs provide recommendations", "teamCollaboration" : "Domain experts; Engineers; Scientists; SDEs; Product Managers; Accounting stakeholders", "domainKnowledge" : "Accounting; Finance; Financial transactions; Financial processes", "domainList" : [ "accounting", "finance", "financial-transactions", "financial-processes" ], "domainSpecificKnowledge" : [ "Accounting", "Finance", "Financial transactions", "Financial processes" ], "toolProficiency" : [ "scikit-learn", "Spark MLLib", "Tensorflow", "Hadoop", "Spark" ], "communicationSkills" : "Written communication; Verbal communication", "innovationCreativity" : "Scientific research; Publishing papers", "problemSolvingSkills" : "Scientific solutions", "qualificationsBasic" : "3+ years ML models business application, PhD or Master's degree, 6+ years applied research experience, Experience programming Java, C++, Python, Experience neural deep learning methods, Experience machine learning", "qualificationsPreferred" : "Experience modeling tools R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, Experience large scale distributed systems Hadoop, Spark", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you interested in changing the way accounting and finance works at Amazon? We are a science and engineering team leveraging ML models and GenAI/LLMs to solve real-world problems faced by accountants and financial analysts. We are part of the Amazon Financials Foundation Services (AFFS) organization. AFFS is responsible for processing and managing billions of financially relevant transactions sent globally from across Amazon each day, including orders, shipments, payments, and inventory movements. AFFS is at the center of Amazon's key initiatives and fuels the growth of Amazon's businesses worldwide by ensuring that businesses can easily integrate with our services and that accountants and financial analysts have the right tools to use our data. As an Sr. Applied Scientist, you'll work alongside domain experts, engineers, and other scientists to understand business problems, propose scientific solutions, and deploy them to production. You'll work on scientific initiatives for accelerating reconciliation, standardization, and onboarding. This includes: - Leveraging GenAI/LLMs to build agentic solutions to accelerate accounting-related research/tasks and produce proactive insights. - Building AI trust and safety in the financial domain. - Establishing scalable, efficient, automated processes for large-scale data analysis, machine learning model development, model validation, and serving. - Developing training/evaluation datasets for model fine-tuning. - Collaborating with engineering to productionalize research. - Defining the science direction of the organization and influencing/interacting with senior leadership across Amazon. - Mentoring and growing scientists within the team. Specific examples of this work include developing anomaly detection models to identify deviations in payments, building multi-agent systems to perform financial research or onboard new businesses, and fine-tuning LLMs to provide recommendations on next steps. As an interdisciplinary team, we maintain a balance between scientific research and productionalization. This means, you'll get a unique opportunity to influence the global scientific community by publishing papers externally and internally while also seeing your work used across Amazon. You will need to have a start-up like mindset, as you will be working an in a highly iterative and collaborative environment with SDEs, Product Managers, and Accounting stakeholders to propose ideas, experiment, and scale rapidly. You should have a keen eye for what a good user experience should look like, possess excellent written and verbal communication, and have a keen interest in learning about accounting and financial processes. Basic Qualifications: - 3+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning Preferred Qualifications: - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary for this position ranges from $195,900/year up to $327,200/year. Salary is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. Applicants should apply via our internal or external career site.", "summaryDescription" : "Sr. Applied Scientist, Financial Insights and Actions at Amazon Development Centre Canada ULC. Skills: Machine learning, GenAI, LLMs, Financial analysis. Leverage GenAI/LLMs build agentic solutions. Build AI trust safety", "postedDate" : "2026-06-13T07:38:09.940", "createdAt" : "2026-06-13T07:38:09.940", "lastUpdated" : "2026-06-15T02:50:50.803", "ingestTimestamp" : "2026-06-13T07:38:09.940", "mongoId" : "68c2e425f8b1b0376634c611", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3073810/apply", "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Model development", "Model validation", "Model serving", "Anomaly detection", "Multi-agent systems", "LLM fine-tuning", "Mentoring", "Machine learning", "GenAI", "LLMs", "Financial analysis", "Financial Insights", "Financial Actions", "Accounting research", "Financial research", "Financial domain", "Accounting", "Finance", "Financial transactions", "Financial processes", "scikit-learn", "Spark MLLib", "Tensorflow", "Hadoop", "Spark" ], "skillCount" : 26, "jobCategory" : "data", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a0e760b58b93c861edbe8f5", "title" : "Voice and Chat Customer Support", "company" : "Support Services Group", "salary" : { "min" : 1080000.0, "max" : 1560000.0, "currency" : "JMD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Entry-level voice and chat customer support roles in Kingston, Jamaica, typically range from JMD 1,080,000 to JMD 1,560,000 annually, based on 2024-2025 market data for the customer support industry." }, "location" : "Kingston, JM", "locations" : [ "Kingston", "JM" ], "timestamp" : "2026-06-15T08:38:15.924", "fingerprint" : "005a438ed672d309cded51adbfcfc44b56712211b99a1647fd942b516accd38d", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://jamaica-ssg.breezy.hr/p/134045a3cb25-voice-and-chat-customer-support", "externalId" : "134045a3cb25", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Kingston", "state" : "Saint Andrew", "country" : "Jamaica", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "17.9841723,-76.8057525" } ], "locationText" : "Kingston, Saint Andrew, Jamaica", "employmentType" : "FULL_TIME", "professionalSkills" : [ "Customer satisfaction", "Value realization" ], "majorSkills" : "Customer support, Customer retention", "majorSkillsList" : [ "Customer support", "Customer retention" ], "coreResponsibilities" : "Field customer inquiries, Address customer pain points, Maintain product knowledge, Provide email support, Provide voice support, Provide chat support", "outcomesObjectives" : "Drive customer satisfaction", "qualificationsBasic" : "Extensive product knowledge", "workSiteFlexibility" : "Onsite", "rawDescription" : "Support Services Group is looking for customer service representatives to join our team in our Kingston, Jamaica office. This person will drive customer satisfaction by fielding inquiries, addressing pain points, and maintaining extensive product knowledge. This role would include email, voice and", "summaryDescription" : "Voice and Chat Customer Support at Support Services Group. Skills: Customer support, Customer retention. Field customer inquiries. Address customer pain points", "createdAt" : "2026-06-14T06:41:04.768", "lastUpdated" : "2026-06-15T08:38:15.924", "ingestTimestamp" : "2026-06-14T06:41:04.768", "mongoId" : "6a0e760b58b93c861edbe8f5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Customer support", "Customer retention", "Customer satisfaction", "Value realization" ], "skillCount" : 4, "jobCategory" : "sales", "jobSubcategory" : "customer_success", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Customer Support", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3056bdf292fd229cf2dd26", "title" : "Customer Success Manager, Mid-Market", "company" : "AlertMedia", "salary" : { "min" : 105000.0, "max" : 145000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-Market Customer Success Manager in Austin, adjusted for mid-seniority and a SaaS company in the United States." }, "location" : "Austin, Texas, United States", "locations" : [ "Austin", "Texas", "United States" ], "timestamp" : "2026-06-16T08:46:38.744", "fingerprint" : "b0ffbc0a67db0dc8021ecc0eb0bd30e30588300bdce8743c481d4ec8e07f7095", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/alertmedia/jobs/8583654002", "externalId" : "8583654002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "30.2711286,-97.7436995" } ], "locationText" : "Austin, Texas, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "remoteFriendly" : true, "rawDescription" : "Do work that matters. At AlertMedia, everything we do supports our mission: To save lives and minimize loss by identifying active threats globally and facilitating timely communications when an emergency threatens personal safety and business continuity. Our core values drive us in our important mission of keeping people safe & informed: We’re humans not robots Customers always come first We work better together Simplicity is our strength Our reputation is priceless Hard work pays off As one of the fastest growing SaaS start-up companies in the nation, we’re focused on finding the best talent and building the best team to continue accelerating our rapid growth to keep up with our demand. Our Customer Success Manager takes ownership of AlertMedia’s customer relationships, which we value above all else. They focus on strategic accounts to provide the highest level of consultative partnership. Working closely with our Implementations Team, Customer Support, Marketing, and Sales Teams, they are responsible for executing strategic guidance, driving adoption, conducting effective QBRs, supporting customer health, retention, and growth. CSMs approach each relationship with a “partnership” mentality and employ a consultative and tailored approach to ensure each customer successfully meets their goals.  Who you are:   You are an accomplished Customer Success Manager with proven success working with customers through a strategic lens. You think critically to drive adoption, retain, and expand your accounts. You are a thought leader in managing strategic accounts and enjoy working with your colleagues to develop innovative strategies. You enjoy identifying themes across your customer based to better inform a proactive and thoughtful 1x1 approach to Customer Success. You value a \"we're all in this together\" mentality.    What you get to every day:   Build strong relationships with our customers  Identify, measure, and execute against customers’ positive business outcomes to cultivate more realized value for your customers Evaluate risk management for each customer and proactively strive for value propositions and utilize best practices to drive retention  Align with the Customer Success organization and Account Management Team to support initiatives to grow and expand existing accounts through adoption, cross-sell, and upsell opportunities   Manage a series of personal and automated touchpoints and to drive ongoing customer experiences  Conduct effective Quarterly Business Reviews to highlight the customer’s realized value and communicate recommendations and new features  Consult with customers to determine the best data automation option for their needs and be able to support configurations for matrixed organizations  Respond to all customer inquiries in a thoughtful and timely manner  Keep track of new product developments and strategically inform/train customers on them   Communicate desired software requirements to product management team in a cross-functional feedback loop  Effectively track all customer communication in Gainsight  Diligently manage Gainsight and Salesforce data to effectively manage your book of business  Contribute to AlertMedia’s culture, values, and vision for the future   What you bring to the role:   2-3 years’ experience as a Customer Success Manager   Experience with Salesforce, Excel & Gainsight (a plus) Desire to work with demanding, multi-national customers  Established CSM who is self-motivated and customer-focused  Outstanding verbal and written communication skills Strong listening skills with the ability to work with a variety of customer profiles    Excellent project management skills with proven ability to prioritize    Strong analytical, negotiation, and creative problem-solving skills   Proven ability to work with all members of our team (business development, software development, and product management)   The desire and ability to learn and be coached   Location: This is an in office, hybrid position (2 days a week) in our downtown Austin, Texas headquarters Sponsorship: AlertMedia does not sponsor candidates Why you’ll love working at AlertMedia: At AlertMedia, you won’t just build your career — you’ll be part of something meaningful, surrounded by people who genuinely care about the work and each other. Competitive base salary + Company-wide bonus program  Generous and flexible time off and parental leave policies  Health benefits - Medical, Dental, Vision and Life Insurance are 100% paid for employees!  401K with generous company match  Amazing rewards and incentives – we love celebrating each other!  Commitment to community service with opportunities to give back   A Best Places to Work company 10 years in a row and numerous other awards  Access to new downtown office with 360 views of Austin, high-tech building gym and nearby running trails  Ongoing career development opportunities through our Learning & Development team  You'll do meaningful work—while growing your career in a fast-moving, global company with an award-winning culture About AlertMedia:  AlertMedia, backed by Vista Equity Partners, helps organizations protect their people and businesses through all phases of an emergency. Our award-winning threat intelligence, emergency communication, and travel risk management solutions help companies of all sizes identify, respond to, and recover from critical events faster and more confidently. AlertMedia supports essential communication for thousands of leading businesses—including JetBlue, Coca-Cola Bottling, and Walmart—in more than 150 countries.  We are an equal opportunity employer focused on creating a collaborative and exciting place for all to work. Ensuring a diverse, inclusive, and equitable workplace for all people is key to our success and core to our values. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.    This is an amazing opportunity to be part of our wave of momentum and take our company, and your career, to the next growth stage. We'd love to get to know you better and share how we serve our amazing customers. For more information, please visit www.alertmedia.com    By applying for the role, you agree that Alert Media will use your Personal Information in connection with the recruitment process and in accordance with our Privacy Policy – https://www.alertmedia.com/legal/privacy-policy/  ", "summaryDescription" : "Customer Success Manager, Mid-Market at AlertMedia", "postedDate" : "2026-06-15T23:22:47.040", "createdAt" : "2026-06-15T23:22:47.040", "lastUpdated" : "2026-06-16T08:46:38.744", "ingestTimestamp" : "2026-06-15T23:22:47.040", "mongoId" : "6a3056bdf292fd229cf2dd26", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 105000, "salaryAnnualMax" : 145000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "sales", "jobSubcategory" : "customer_success", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cb2f174d8ee00a09e3225", "title" : "Director, Customer and Growth Product Marketing", "company" : "Glean", "industry" : "SaaS", "salary" : { "min" : 220000.0, "max" : 320000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Director, Customer and Growth Product Marketing in Mountain View, United States, adjusted for SaaS industry and company size." }, "location" : "Mountain View, California, United States", "locations" : [ "Mountain View", "California", "United States", "San Francisco", "California", "United States" ], "timestamp" : "2026-06-15T23:01:19.902", "fingerprint" : "1abed4451df59ccaa2829cbad887dbe34f53ae9344ee2c077bda37e1cd018a53", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/gleanwork/jobs/4705577005", "externalId" : "4705577005", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Mountain View", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.3893889,-122.0832101" } ], "locationText" : "Mountain View, California, United States", "experienceLevel" : "Director", "professionalSkills" : [ "Customer marketing", "Lifecycle growth marketing", "Revenue marketing", "Segmentation", "Testing", "Automation", "Multi-touch journeys" ], "hardSkillsList" : [ "Behavioral data analysis" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Behavioral data analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Customer marketing, Lifecycle marketing, Growth marketing", "majorSkillsList" : [ "Customer marketing", "Lifecycle marketing", "Growth marketing" ], "coreResponsibilities" : "Own post-sale marketing strategy, Design segmented lifecycle campaigns, Accelerate time-to-value, Increase adoption of workflows, Improve retention, Partner with Customer Success and Sales, Develop upsell, cross-sell, expansion campaigns, Use experimentation and behavioral data, Optimize onboarding, adoption, growth, Leverage AI for speed and scale, Serve as cross-functional lead, Define measurement, Improve lifecycle strategy, Scale repeatable programs, Build and mentor AI native team, Execute programs directly", "teamCollaboration" : "Partnering with Product; Partnering with Marketing; Partnering with Sales; Partnering with Customer Success; Partnering with RevOps", "domainKnowledge" : "Work AI; Enterprise search; AI Assistant; AI agents; Enterprise Graph; Personal Knowledge Graph; Agentic capabilities; Agentic AI", "domainList" : [ "work-ai", "enterprise-search", "ai-assistant", "ai-agents", "enterprise-graph", "personal-knowledge-graph", "agentic-capabilities", "agentic-ai" ], "domainSpecificKnowledge" : [ "Work AI", "Enterprise search", "AI Assistant", "AI agents", "Enterprise Graph", "Personal Knowledge Graph", "Agentic capabilities", "Agentic AI" ], "communicationSkills" : "Executive-ready insights", "continuousLearning" : "Annual education stipend", "problemSolvingSkills" : "Root cause analysis", "specialRequirements" : "4 days a week in office", "outcomesObjectives" : "Drive adoption, retention, expansion; Impact product usage; Impact renewals; Impact NRR; Impact expansion pipeline", "qualificationsBasic" : "8+ years B2B SaaS marketing experience, Proven success driving adoption, retention, expansion, AI fluent, Deep expertise customer and lifecycle marketing, Analytical, written, communication skills", "qualificationsPreferred" : "Experience with AI tools", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company. About the Role: Glean is seeking a Director, Growth Product Marketing to lead how we engage, grow, and retain customers after the initial sale. In this role, you will combine customer marketing and lifecycle growth marketing to turn our install base into a durable engine for activation, adoption and expansion across our customer base. You will design the systems, programs, and operating rhythm that make the post-sale journey more systematic, measurable, and scalable as Glean grows. You will: Own the end-to-end post-sale marketing strategy across onboarding, activation, adoption, renewal and expansion with clear lifecycle stages, goals, and success metrics. Design and implement segmented lifecycle campaigns across email, in-product, and other channels to accelerate time-to-value, increase adoption of priority workflows, and improve retention. Partner closely with Customer Success and Sales on signal-based programs for at-risk accounts, renewal readiness, win-back, and expansion opportunities. Develop upsell, cross-sell, and expansion campaigns aligned to sales plays and account plans, using experimentation and behavioral data to optimize onboarding, adoption, and growth, and leveraging AI to build speed and scale into the process. Serve as the cross-functional lead for post-sale marketing, partnering with Product, Marketing, Sales, Customer Success, and RevOps to define measurement, improve lifecycle strategy, and scale repeatable programs. Build and mentor a small AI native team focused on customer marketing and lifecycle growth, while remaining comfortable rolling up your sleeves to execute programs directly. About you: 8+ years of B2B SaaS marketing experience across customer, lifecycle, growth, or revenue marketing, with a strong focus on post-sale outcomes. Proven success driving adoption, retention, and expansion within an installed base, with measurable impact on product usage, renewals, NRR, or expansion pipeline. Strong operator who can balance strategy, hands-on execution, and analytics in a fast-moving environment. AI fluent, using the latest AI tools as a natural and integral part of everyday work. Deep expertise and hands-on execution experience in customer and lifecycle marketing, including segmentation, testing, automation, and multi-touch journeys across email and in-product channels. Strong analytical, written, and communication skills, with the ability to turn customer behavior and performance data into clear programs, narratives, and executive-ready insights. Highly collaborative builder with a bias toward action, strong cross-functional influence, and interest in AI and agentic workflows. Location: This role is hybrid (4 days a week in our Mountain View or San Francisco office) Compensation & Benefits: The standard base salary range for this position is $220,000 - $300,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused. We’re committed to building and sustaining a diverse, inclusive workplace. We strive to attract and retain people with a wide range of backgrounds, experiences, and perspectives, and we do not discriminate on the basis of gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. #LI-HYBRID AI-First Mindset at Glean: At Glean, AI fluency is core to how we work and we're committed to ensuring every new hire feels confident integrating AI into their everyday work. As part of the interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about, design, and use AI to drive impact in your role. Feel free to reference any tools, platforms, or workflows you use today — prior Glean experience isn't required. Global Data Privacy Notice for Job Candidates and Applicants: Depending on your location, the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), or other privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available in our Privacy Policy. By submitting your application, you are agreeing to our use and processing of your data as required. US applicants and their applications are subject to arbitration of disputes as outlined in our Applicant Arbitration Agreement. By clicking “Submit Application,” I confirm that I have read the Global Data Privacy Notice and the Applicant Arbitration Agreement, and I agree to the terms.", "summaryDescription" : "Director, Customer and Growth Product Marketing at Glean. Skills: Customer marketing, Lifecycle marketing, Growth marketing. Own post-sale marketing strategy. Design segmented lifecycle campaigns", "postedDate" : "2026-06-14T20:16:24.824", "createdAt" : "2026-06-14T20:16:24.824", "lastUpdated" : "2026-06-15T23:01:19.902", "ingestTimestamp" : "2026-06-14T20:16:24.824", "mongoId" : "6a2cb2f174d8ee00a09e3225", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 220000, "salaryAnnualMax" : 320000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Behavioral data analysis", "Leadership", "Customer marketing", "Lifecycle marketing", "Growth marketing", "Lifecycle growth marketing", "Revenue marketing", "Segmentation", "Testing", "Automation", "Multi-touch journeys", "Work AI", "Enterprise search", "AI Assistant", "AI agents", "Enterprise Graph", "Personal Knowledge Graph", "Agentic capabilities", "Agentic AI" ], "skillCount" : 19, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca5d874d8ee00a09b852e", "title" : "Customer Service, Dispatch, and Sales", "company" : "HELP", "industry" : "null", "salary" : { "min" : 48000.0, "max" : 68000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on the market baseline for a Mid-level Customer Service, Dispatch, and Sales role in Cincinnati, United States, with adjustments for industry and company size." }, "location" : "Cincinnati, OH ", "locations" : [ "Cincinnati", "OH" ], "timestamp" : "2026-06-15T09:21:49.007", "fingerprint" : "dbd96bf28c2605ad763748464f3e284bb7c690462410e31f71c23ea69ed7a5ba", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/help/jobs/4666626008", "externalId" : "4666626008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Cincinnati", "state" : "Ohio", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.1012809,-84.5127405" } ], "locationText" : "Cincinnati, Ohio, United States", "majorSkills" : "Customer Service, Dispatch, Sales", "majorSkillsList" : [ "Customer Service", "Dispatch", "Sales" ], "domainKnowledge" : "HVAC services; Plumbing services; Electrical services", "domainList" : [ "hvac-services", "plumbing-services", "electrical-services" ], "domainSpecificKnowledge" : [ "HVAC services", "Plumbing services", "Electrical services" ], "continuousLearning" : "Professional growth; Advancement opportunities", "qualificationsBasic" : "Experienced Customer Service professionals, Experienced Dispatch professionals, Experienced Sales professionals", "qualificationsPreferred" : "Customer-focused individuals, Interested in career growth, Interested in professional development", "workSiteFlexibility" : "null", "rawDescription" : "Join Our Talent Network – Future Opportunities in Customer Service, Dispatch, and Sales! Are you a skilled Customer Service, Dispatch, or salesperson looking for your next career move? HELP is always looking for top talent to join our growing teams! While we may not have an immediate opening, we’re actively building a network of qualified professionals for upcoming opportunities. Benefits: Competitive pay Health insurance: Comprehensive medical, dental, and vision coverage. Retirement plan: 401(k) with company match. Paid time off: Generous vacation, holidays, and sick leave. Training and development: Ongoing opportunities for professional growth and advancement. Company culture: A supportive, inclusive, and dynamic work environment focusing on teamwork and employee satisfaction. Why Join Our Talent Pool? ✅ Be the first to hear about new job openings ✅ Get exclusive updates on company news & hiring events ✅ Fast-track your application when positions open up Who Should Apply? ✔ Experienced Customer Service, Dispatch, and Sales professionals ✔ Customer-focused individuals who take pride in quality workmanship ✔ Those interested in career growth and professional development How to Apply Submit your resume today, and we’ll reach out when a role that matches your skills and experience becomes available! About HELP For more than 80 years, HELP has provided HVAC, plumbing, and electrical services to families throughout Cincinnati, Northern Kentucky, and Southeast Indiana. To ensure that our clients’ expectations are exceeded, HELP takes great care when selecting individuals to join the team. Our employees embrace our commitment to do the job right the first time with good equipment and materials, with honesty and without shortcuts. By embracing this policy, our employees prosper right along with the company and enjoy solid job security. Not a heating, cooling, plumbing or electrical expert? Don’t worry. We can teach you everything you need to know! We are an equal-opportunity employer committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic outlined by federal, state, or local laws. Privacy Policy", "summaryDescription" : "Customer Service, Dispatch, and Sales at HELP. Skills: Customer Service, Dispatch, Sales", "postedDate" : "2026-06-14T03:51:48.817", "createdAt" : "2026-06-14T03:51:48.817", "lastUpdated" : "2026-06-15T09:21:49.007", "ingestTimestamp" : "2026-06-14T03:51:48.817", "mongoId" : "6a2ca5d874d8ee00a09b852e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 48000, "salaryAnnualMax" : 68000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Customer Service", "Dispatch", "Sales", "HVAC services", "Plumbing services", "Electrical services" ], "skillCount" : 6, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Services", "llmIndustryConfidence" : 0.85 }, { "id" : "6a2ce86574d8ee00a0a6a957", "title" : "Senior Customer and Product Marketing Manager", "company" : "Replicant", "industry" : "Marketing", "salary" : { "min" : 145000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Customer and Product Marketing Manager in the US SaaS industry, adjusted for seniority and remote work." }, "location" : "United States", "locations" : [ "United States", "Canada" ], "timestamp" : "2026-06-16T01:34:22.013", "fingerprint" : "7525b67b5c3294507ec0c39ecbb4ad351ee5be1ae9a291cfed8e7b8e38e6f853", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/replicant/4c2a3fd2-95ec-4516-9957-65f7e483c0b1/application", "externalId" : "4c2a3fd2-95ec-4516-9957-65f7e483c0b1", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "coreResponsibilities" : "Develop and execute marketing strategies, Drive customer acquisition, Manage marketing campaigns, Analyze growth metrics, Optimize marketing spend, Develop brand positioning, Conduct market research, Collaborate with product teams", "teamCollaboration" : "Cross-functional teams; Product teams", "domainKnowledge" : "Brand strategy; Customer acquisition; Growth metrics", "domainList" : [ "brand-strategy", "customer-acquisition", "growth-metrics" ], "domainSpecificKnowledge" : [ "Brand strategy", "Customer acquisition", "Growth metrics" ], "outcomesObjectives" : "Achieve customer acquisition targets; Improve growth metrics; Enhance brand positioning", "remoteFriendly" : true, "rawDescription" : "At Replicant, we believe AI should work for people, starting with customer service. That’s why we built a platform that helps contact centers resolve more requests, proactively identify issues, and improve agent performance with AI-powered conversation intelligence and AI agents that act like your best reps. Our AI agents handle millions of calls every month for Fortune 500 companies and high-growth innovators. From processing payments to booking appointments and authenticating users, they help customers get what they need instantly, 24/7. Meanwhile, our real-time conversation insights help contact center leaders coach better and improve every interaction. We’re leading the shift from legacy systems to AI-first service, powered by large language models (LLMs) and designed for enterprise scale, security, and empathy. If you’re excited by the potential of LLMs, voice AI, and building category-defining technology with a kind, ambitious team, you’ll love it here. Replicant is looking for a Senior Product & Customer Marketing Senior Manager to drive industry positioning, solution messaging, customer advocacy, and go-to-market storytelling. This role will combine strategic product marketing responsibilities with customer marketing initiatives to help strengthen pipeline generation, customer engagement, retention, and expansion. The role will work closely with Sales, Engagement Managers, Product Management, and Marketing to connect customer insights, use cases, and success stories to Replicant’s broader go-to-market strategy. What You’ll Do - Industry and Solutions Marketing - Develop industry messaging, solution positioning, and use-case narratives aligned with Replicant’s platform and product strategy. Create vertical-focused content and sales materials that support pipeline generation, expansion opportunities, and strategic customer conversations. - Product Launches and GTM Execution - Lead cross-functional launch planning and execution, including enablement, GTM coordination, and post-launch optimization. Partner closely with Product, Sales, Engagement Managers, and Marketing to drive adoption across existing customers and successfully launch new solutions. - Customer Advocacy and Storytelling - Build and manage customer advocacy initiatives, including customer references, external case studies, internal “pocket stories,” and customer proof points that support Sales and Marketing efforts. - Customer Programs and Engagement - Plan and support customer-facing programs, events, and customer speaking opportunities designed to strengthen customer relationships, engagement, retention, and expansion. - GTM Customer Activation - Partner with Sales and Marketing to prepare customers for sales calls, events, and strategic conversations. Ensure customer stories and insights are effectively integrated into go-to-market initiatives. - Content and Cross-Functional Collaboration - Partner with Brand and Demand Generation to amplify customer and industry narratives across campaigns, launches, and GTM programs. Build content that supports awareness, credibility, pipeline generation, and customer engagement. - Technical and Solution Storytelling - Translate technical and product capabilities into clear customer narratives, industry messaging, and sales content that resonate with technical and business audiences. Partner with Product, Solutions, and GTM teams to communicate complex technology in a credible, customer-focused way. What You'll Bring - Passion for customer storytelling, product marketing, and creating impactful go-to-market programs. - 5+ years of experience in Product Marketing, Customer Marketing, or Solutions Marketing roles within SaaS, AI, or Contact Center technology. - Strong experience developing industry messaging, customer stories, and sales enablement content. - Proven ability to work cross-functionally with Sales, Engagement Manager, and Marketing teams. - Ability to translate complex technical concepts into customer narratives - Excellent verbal and written communication skills with a strong customer-facing presence. - Experience supporting customer advocacy programs, customer events, and reference management. - Strong organizational and project management skills with the ability to manage multiple priorities. - Data-driven mindset with the ability to identify opportunities that support retention, expansion, and pipeline growth. - Ability to thrive in a collaborative, fast-moving environment with strong ownership and accountability. For all full-time employees, we offer: \uD83C\uDF34 In-person connection that counts: company-wide offsites and smaller team gatherings designed to make remote work feel personal \uD83D\uDDA5️ Tech & learning stipend: Conferences, books, courses — interested? We’ll fund them \uD83D\uDCCD Remote by design: We’re distributed — no guilt about life events, we trust you to manage your calendar \uD83C\uDFCB️ Health & wellness: Flexible vacations, paid sabbatical after 5 years, comprehensive benefits, plus a stipend to support your physical and mental well-being \uD83D\uDCB8 Compensation that matches your impact: competitive salaries in the company you’re helping to build \uD83D\uDCC8 Equity with upside: We believe in shared ownership—You’ll own a real piece of a fast-growing AI company Our Values Replicant has three core values. It is critical that everyone who joins the team feels excited and moved by these values as every new team member makes an impact on our culture. Blade Runners: We take ownership and pride to influence the outcomes of our goals. We are successful, and like a Blade Runner, use the tools at our disposal to reach our objectives. We value open and honest communication and proactively seek feedback along the way. We are a company driven to grow and achieve both individually and as a team. Bread Makers: We are humble and strive toward an egalitarian culture. No task is too big or too small. We work together to achieve our goals and develop our company mission. We believe that the whole is greater than the sum of its parts in everything that we do. Självdistans (Self-Distance): Självdistans is Swedish for self-distance. It's the ability to critically reflect on oneself and one's relations from an external perspective. With this in mind, we act with objectivity and always remember that we are not our work. There's no perfect science to growing a team or business, but we trust everyone at Replicant to point out our blind spots and humbly admit their own. Replicant is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at talent@replicant.ai hr@replicant.ai and we’ll work to meet your needs.", "summaryDescription" : "Senior Customer and Product Marketing Manager at Replicant. Develop and execute marketing strategies. Drive customer acquisition", "createdAt" : "2026-06-14T19:17:22.319", "lastUpdated" : "2026-06-16T01:34:22.013", "ingestTimestamp" : "2026-06-14T19:17:22.319", "mongoId" : "6a2ce86574d8ee00a0a6a957", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 210000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Brand strategy", "Customer acquisition", "Growth metrics" ], "skillCount" : 3, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cd4cd74d8ee00a0a397f6", "title" : "WA Area Highway and Roadway Market Sector Leader", "company" : "HDR", "industry" : "Consulting", "salary" : { "min" : 144438.0, "max" : 260640.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Multiple Locations", "locations" : [ "Multiple Locations" ], "timestamp" : "2026-06-16T03:19:16.175", "fingerprint" : "351a0c09df221328cb22f7258295bc2486bcda5872cfce99035e887dd21ca912", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=782734", "externalId" : "782734", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "professionalSkills" : [ "Client management", "Project management" ], "majorSkills" : "Market Sector Leadership, Business Development, Client Relations", "majorSkillsList" : [ "Market Sector Leadership", "Business Development", "Client Relations" ], "coreResponsibilities" : "Collaborate with Area Roadway Business Class Lead, Collaborate with Structures, Traffic, and Roadway Business Class, Identify and develop new clients, Collaborate with regional and national Market Sector Directors, Facilitate knowledge transfer, Facilitate best practice transfer, Facilitate staff workshare, Serve as client manager, Serve as project manager, Identify and qualify pursuit opportunities, Plan all aspects of key projects, Direct all aspects of key projects, Monitor all aspects of key projects, Assess the marketplace, Determine approach to secure contracts, Promote marketing of HDR services, Promote delivery of HDR services, Develop market sector growth initiatives, Implement market sector growth initiatives, Work with pursuit teams, Develop client strategies, Develop pursuit strategies, Participate in industry associations, Participate in community organizations, Identify key investments, Develop relationships with senior leadership, Monitor market sector performance indicators, Achieve Area Market Sector NFB Goals, Engage project management talent, Engage technical talent, Support pursuit teams, Develop persuasive proposal materials, Develop persuasive interview materials, Perform quality reviews of proposal materials, Perform quality reviews of interview materials, Facilitate debriefs, Recognize pursuit successes, Celebrate pursuit milestones, Support development of content marketing campaigns, Perform other duties as assigned", "teamCollaboration" : "Cross-discipline teams; Leadership partnership", "projectManagementSkills" : [ "Scope management", "Schedule management", "Budget management" ], "domainKnowledge" : "Highway design; Roadway design; Transportation infrastructure", "domainList" : [ "highway-design", "roadway-design", "transportation-infrastructure" ], "domainSpecificKnowledge" : [ "Highway design", "Roadway design", "Transportation infrastructure" ], "communicationSkills" : "Client presentations; Proposal writing; Interview preparation", "documentationSkills" : "Proposal documentation", "continuousLearning" : "Tuition reimbursement", "outcomesObjectives" : "Achieve Area Market Sector NFB Goals", "qualificationsBasic" : "5+ years Project Management Experience, Experience managing projects for clients in WA, Experience delivering projects with traffic signals, Experience delivering projects with structures, Experience delivering projects with roadways/highways", "qualificationsPreferred" : "Maintain engineering registration", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "At HDR, our employee-owners are fully engaged in creating a welcoming environment where each of us is valued and respected, a place where everyone is empowered to bring their authentic selves and novel ideas to work every day. As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world? Watch Our Story: ' https://www.hdrinc.com/our-story' We believe transportation is more than movement, it’s the foundation of connected, thriving communities. As part of HDR’s Transportation Business Group, you’ll help shape the systems that move people and goods safely, efficiently, and sustainably. From designing resilient highways and iconic bridges to advancing transit, passenger and freight rail, aviation, federal transportation ports and marine infrastructure, your work will directly support economic vitality, public safety, sustainable and resilient communities and quality of life. We bring together planners, engineers, architects, construction management staff, environmental, strategic communications, economists, management consultants and specialists across disciplines to solve complex mobility challenges with innovation, technical excellence, and a deep understanding of community needs. Whether you're modernizing aging infrastructure or pioneering next-generation transportation solutions, your contributions will help define the future of mobility. This isn’t just a job, it’s a chance to lead progress, drive meaningful impact, and leave a legacy of smarter, more connected transportation networks. We are all employee-owners at HDR, which is the foundation of our collaborative culture that connects employees around the world. Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world. In the role of WA Area Highway and Roadway Market Sector Leader, we'll count on you to: Collaborate with the Area Roadway Business Class Lead for Roadway group management. Collaborate with the Structures, Traffic, and Roadway Business Class Leads for pursuit strategy and project delivery. Identify and develop new clients for HDR. Collaborate with regional and national Market Sector Directors and facilitate knowledge /best practice transfer, and staff workshare to support pursuits/projects. Serve as a client manager and project manager for key clients in the area Identify and qualify pursuit opportunities Plan, direct, and monitor all aspects of key projects to support a positive client experience Assess the marketplace and determining the best approach to secure contracts Promote the marketing and delivery of all HDR services to clients Develop and implement market sector growth initiatives in partnership with leadership and client service managers. Work with pursuit teams to develop client and pursuit strategies based on proven capture techniques Participate in industry associations and community organizations to elevate HDR's brand in target markets. Identify key investments (talent, acquisitions and technology) to improve our industry leadership position Develop relationships with senior leadership in key client organizations Partner with leadership on recruiting key talent Monitor market sector performance indicators, including NFE, NFB, profits, positive equity, AR, losses and investments. Achieve Area Market Sector NFB Goals Engage the appropriate project management and technical talent in pursuit teams Support pursuit teams in developing persuasive proposal and interview materials Support Perform quality reviews of proposal and interview materials Facilitate debriefs to identify improvement opportunities and to measure overall competitiveness Recognize and celebrate pursuit successes and milestones Support the development of content marketing campaigns to strengthen our brand, increase our visibility, and showcase our thought leaders Perform other duties as assigned. Preferred Qualifications If an engineer, maintain engineering registration 5+ years of Project Management Experience (Scope, Schedule, Budget) Experience managing projects for clients in WA Experience delivering projects with traffic signals, structures, and roadways/highways. #LI-CV1 We provide a comprehensive benefits package that promotes employee ownership, employee health, performance, and success, which includes medical, dental, vision, short and long-term disability, life insurance, an employee assistance program, paid time away, parental leave, paid holidays, a retirement savings plan with employer match, employee referral bonus and tuition reimbursement. The expected compensation range for this position depends upon skills, experience, education and geographical location. (Stated benefits are for full-time regular positions. Temporary and part-time roles eligible for limited benefits.) {Bellevue/Seattle/Everett, WA}: %24182,448- %24260,640 {Spokane, WA}: %24144,438- %24206,340 {Olympia, WA}: %24152,040- %24217,200", "summaryDescription" : "WA Area Highway and Roadway Market Sector Leader at HDR. Skills: Market Sector Leadership, Business Development, Client Relations. Collaborate with Area Roadway Business Class Lead. Collaborate with Structures, Traffic, and Roadway Business Class", "createdAt" : "2026-06-14T19:50:31.794", "lastUpdated" : "2026-06-16T03:19:16.175", "ingestTimestamp" : "2026-06-14T19:50:31.794", "mongoId" : "6a2cd4cd74d8ee00a0a397f6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 144438, "salaryAnnualMax" : 260640, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Market Sector Leadership", "Business Development", "Client Relations", "Client management", "Project management", "Scope management", "Schedule management", "Budget management", "Highway design", "Roadway design", "Transportation infrastructure" ], "skillCount" : 11, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Engineering", "llmIndustryConfidence" : 0.95 }, { "id" : "69d5e4972beec4dd3d931a47", "title" : "AIT Audit Manager III, Audits and Insights Team", "company" : "ADCI HYD 13 SEZ", "industry" : "Project/Program/Product Management--Non-Tech, Risk Family, customer trust and partner support", "salary" : { "min" : 2400000.0, "max" : 3600000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for E-Commerce in Hyderabad, India, adjusted for Manager seniority and company size." }, "location" : "Hyderabad, Telangana, IND", "locations" : [ "Hyderabad, Telangana, IND" ], "certifications" : [ "PMP" ], "timestamp" : "2026-06-15T02:08:54.028", "fingerprint" : "889b56089f59325ee3ef46d2923bbfbec4f06a762119d69831ffabd8b5fb62b0", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10384848/apply", "externalId" : "2a5a65f1-0959-4053-a463-bc67a4ae79ed", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hyderabad", "state" : "Telangana", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "17.3605890,78.4740613" } ], "locationText" : "Hyderabad, Telangana, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 6, "experienceLevel" : "Manager", "professionalSkills" : [ "Risk management", "Process improvement", "Organizational transformation", "Change management" ], "hardSkillsList" : [ "Audit metrics analysis", "Workforce planning", "Regulatory compliance" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Audit metrics analysis", "level" : "intermediate" }, { "name" : "Workforce planning", "level" : "intermediate" }, { "name" : "Regulatory compliance", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Audit operations management, Stakeholder management, Continuous improvement", "majorSkillsList" : [ "Audit operations management", "Stakeholder management", "Continuous improvement" ], "coreResponsibilities" : "Develop strategic audit initiatives, Execute strategic audit initiatives, Lead audit organization, Ensure high performance standards, Drive organizational transformation, Drive change management initiatives, Establish governance frameworks, Establish quality assurance programs, Build stakeholder relationships, Maintain stakeholder relationships, Influence policy decisions, Influence strategic direction, Oversee complex audit programs, Ensure timely completion of deliverables, Monitor audit metrics, Analyze audit metrics, Provide reports to senior management, Manage resource allocation, Manage workforce planning, Drive continuous improvement initiatives, Drive process optimization, Collaborate to address audit findings, Implement corrective actions, Ensure compliance with regulatory requirements, Ensure compliance with internal standards, Drive meeting insights, Convert findings into trends, Convert findings into KPI, Convert findings into metrics, Lead Kingpin goals, Own Kingpin goals", "teamCollaboration" : "Senior stakeholders across business", "projectManagementSkills" : [ "PMP", "Lean principles", "Six Sigma" ], "domainKnowledge" : "Account enforcements; Listing enforcements; Appeals decisions; Reinstatement decisions; Perfect Order Experience; Selling Partner Risk; Abuse prevention; Financial disincentives; Automated Brand Protection; Product Review Abuse; Restricted Products; Safety compliance; Know Your Customer; Product Safety Compliance", "domainList" : [ "account-enforcements", "listing-enforcements", "appeals-decisions", "reinstatement-decisions", "perfect-order-experience", "selling-partner-risk", "abuse-prevention", "financial-disincentives", "automated-brand-protection", "product-review-abuse", "restricted-products", "safety-compliance", "know-your-customer", "product-safety-compliance" ], "domainSpecificKnowledge" : [ "Account enforcements", "Listing enforcements", "Appeals decisions", "Reinstatement decisions", "Perfect Order Experience", "Selling Partner Risk", "Abuse prevention", "Financial disincentives", "Automated Brand Protection", "Product Review Abuse", "Restricted Products", "Safety compliance", "Know Your Customer", "Product Safety Compliance" ], "toolProficiency" : [ "Microsoft Office" ], "communicationSkills" : "Executive-level communication", "problemSolvingSkills" : "Root cause analysis", "outcomesObjectives" : "Improve enforcement accuracy; Improve appeal handling accuracy; Improve First Contact Resolution rate; Reduce Seller enforcements; Reduce Seller appeals", "qualificationsBasic" : "6+ years compliance experience, 6+ years audit experience, 6+ years risk management experience, Advanced Microsoft Office proficiency, Bachelor's degree", "qualificationsPreferred" : "PMP certification, Lean principles implementation, Six Sigma methodologies implementation, Master's degree", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Audits and Insights team (AIT) – SPT Audit program measures accuracy of account enforcements, listing enforcements, all appeals and reinstatement decisions through audits on a statistically significant sample across Perfect Order Experience, Selling Partner Risk & Abuse, Financial Disincentives, Automated Brand Protection, Andon, Product Review Abuse, Restricted Products, Safety, Know Your Customer & Product Safety & Compliance (PSC) to name a few. We perform audits and measure the coverage and accuracy via director level goals and generate actionable insights from our audits to improve enforcement accuracy, appeal handling accuracy, First Contact Resolution (FCR) rate and eliminate unnecessary Seller friction by identifying ways to reduce Seller enforcements and appeals. We are committed to maintaining and advancing the trust of our Sellers by raising the bar through our Audits. The Audit Manager III is a senior leadership position responsible for directing and managing a large-scale audit operation with oversight of 120-150 auditors. This role requires strategic vision, executive-level communication skills, and the ability to drive organizational change while ensuring operational excellence. Key job responsibilities • Develop and execute strategic audit initiatives aligned with organizational objectives • Lead a large-scale audit organization, including managers and senior auditors, ensuring high performance standards and professional growth • Drive organizational transformation and change management initiatives • Establish governance frameworks and quality assurance programs • Build and maintain relationships with senior stakeholders across the business to shape audit process and risk management approaches • Influence policy decisions and strategic direction at an organizational level • Oversee complex audit programs and ensure timely completion of deliverables • Monitor and analyze audit metrics, providing regular reports to senior management • Manage resource allocation and workforce planning for optimal operational efficiency • Drive continuous improvement initiatives and process optimization • Collaborate with stakeholders to address audit findings and implement corrective actions • Ensure compliance with regulatory requirements and internal standards . Drive meeting insights through the output of the audit data. Convert findings into meaning full trends, KPI and metrics. Lead and Own Kingpin goals Basic Qualifications: - 6+ years of compliance, audit or risk management experience - Knowledge of Microsoft Office products and applications at an advanced level - Bachelor's degree or equivalent Preferred Qualifications: - Project Management Professional (PMP) or equivalent certification - Experience leveraging technology and implementing lean principles / Six Sigma methodologies to drive process improvements or equivalent - Master's degree or equivalent Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "AIT Audit Manager III, Audits and Insights Team at ADCI HYD 13 SEZ. Skills: Audit operations management, Stakeholder management, Continuous improvement. Develop strategic audit initiatives. Execute strategic audit initiatives", "postedDate" : "2026-06-13T17:52:22.470", "createdAt" : "2026-06-13T17:52:22.470", "lastUpdated" : "2026-06-15T02:08:54.028", "ingestTimestamp" : "2026-06-13T17:52:22.470", "mongoId" : "69d5e4972beec4dd3d931a47", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10384848/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Audit metrics analysis", "Workforce planning", "Regulatory compliance", "Leadership", "Audit operations management", "Stakeholder management", "Continuous improvement", "Risk management", "Process improvement", "Organizational transformation", "Change management", "PMP", "Lean principles", "Six Sigma", "Account enforcements", "Listing enforcements", "Appeals decisions", "Reinstatement decisions", "Perfect Order Experience", "Selling Partner Risk", "Abuse prevention", "Financial disincentives", "Automated Brand Protection", "Product Review Abuse", "Restricted Products", "Safety compliance", "Know Your Customer", "Product Safety Compliance", "Microsoft Office" ], "skillCount" : 29, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305649f292fd229cf26d97", "title" : "Senior PMT-ES, AWS FinOps Agent, AWS Insights and Optimizations", "company" : "Amazon Development Center U.S., Inc.", "industry" : "Project/Program/Product Management--Technical, Product Management - Technical, Cloud Computing", "salary" : { "min" : 152000.0, "max" : 205900.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-16T06:14:21.185", "fingerprint" : "c09644b23ae41d38c2d5557de8b78c7739ca9c79fba6a93020d8916eab26c079", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10448908/apply", "externalId" : "158e8c88-1366-4b0e-86fd-016d9ff23c4b", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AWS, FinOps", "professionalSkills" : [ "Product strategy", "Roadmap development", "User story creation" ], "majorSkills" : "Product Management, AWS, FinOps", "majorSkillsList" : [ "Product Management", "AWS", "FinOps" ], "coreResponsibilities" : "Define product strategy, Develop product roadmaps, Create user stories, Collaborate with cross-functional teams, Drive product adoption, Monitor product performance, Identify product improvements, Manage product lifecycle", "teamCollaboration" : "Cross-functional teams", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "AWS FinOps; Cloud cost optimization", "domainList" : [ "aws-finops", "cloud-cost-optimization" ], "domainSpecificKnowledge" : [ "AWS FinOps", "Cloud cost optimization" ], "toolProficiency" : [ "AWS FinOps Agent", "AWS Insights" ], "qualificationsBasic" : "5+ years of experience in product management, Experience with AWS, Experience with FinOps", "qualificationsPreferred" : "Experience with AWS FinOps Agent, Experience with AWS Insights and Optimizations", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We're building the future of cloud financial management by making FinOps autonomous, intelligent, and agent-native. The AWS Billing organization processes millions of events per second to deliver cost, usage, and optimization insights that power the financial decisions of the world's largest enterprises. We're now transforming how customers interact with this data, moving from dashboards and reports to agentic experiences that continuously understand, control, and optimize AWS spend on their behalf. As Senior Product Manager - Technical, you'll own the product strategy and execution for AWS FinOps Agent, building agentic workflows and expanding its cloud financial management capabilities, with responsibility for defining and driving their evolution as the technology landscape advances. You'll determine how millions of customers and AI agents discover, analyze, and act on AWS cost and usage data through AWS FinOps Agent. In this role, you'll drive the vision for making AWS the most agent-friendly cloud for financial management, define the product strategy that governs how generative AI transforms cost management workflows, and own the measurement and continuous improvement of the AI-powered FinOps experience across AWS. You'll evaluate emerging agent frameworks, reasoning models, and interface patterns, determining when to adopt, extend, or build new approaches to maintain AWS's leadership in autonomous cloud economics. You'll work at the intersection of generative AI, cloud infrastructure, and enterprise finance to pioneer the next generation of FinOps. You'll collaborate with engineering teams, applied scientists, and product teams across AWS to ensure AWS FinOps Agent delivers measurable value to customers, from individual developers optimizing a single account to enterprise CFOs managing billions in cloud spend. This role requires deep technical understanding of generative AI, agent architectures, and AWS cloud financial management, combined with the ability to influence without authority across a large, distributed organization. If you're passionate about making cloud financial management autonomous and excited about defining how generative AI transforms enterprise FinOps, this role offers the opportunity to shape AWS's agent-first cost intelligence strategy. Key job responsibilities * Create the product vision, and strategy for internal and external customers. * Engage with customers through a variety of channels and serve as the voice of the customer internally. * Gain feedback from customers to ensure right focus in building our products * Manage the entire product life cycle from strategic planning to tactical execution. * Partner with engineering teams to deliver on the product roadmap. * Establish goals and review metrics to identify opportunities and measure the success of the product features. * Define and maintain a product roadmap with inputs from all stakeholders. * Provide effective written and verbal updates on the products and key projects to senior leadership and stakeholders. Basic Qualifications: - 5+ years of technical product management with internet business experience - 5+ years of working as a Technical Product Manager experience - 3+ years of technical (software development, network development, IT, other related) experience - 7+ years of full product life cycle experience - 5+ years of P&L management and pricing experience - 5+ years of creating written docs for development of new products experience - 5+ years of enterprise security product experience - 5+ years of product management in the cloud computing technology space experience - Bachelor's degree in computer science, engineering, math, finance, or economics - Experience in taking a product from conception & definition phase through engineering design and taking it to market - Experience delivering large-scale SaaS, PaaS or LaaS products where you are responsible for the full product lifecycle, from concept through GTM (go to market) Preferred Qualifications: - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - Experience working within teams delivering software products and features using agile methodologies 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, WA, Seattle - 152,200.00 - 205,900.00 USD annually", "summaryDescription" : "Senior PMT-ES, AWS FinOps Agent, AWS Insights and Optimizations at Amazon Development Center U.S., Inc.. Skills: Product Management, AWS, FinOps. Define product strategy. 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At the center of this shift is token economics, the emerging discipline of understanding, measuring, and optimizing the cost of every token consumed across models, applications, and business functions. The AWS Billing organization is uniquely positioned to help customers navigate this transformation, providing the cost visibility, allocation models, and optimization tools that make AI spending as manageable as any other workload. We're building the financial intelligence layer that enables enterprises to scale AI investment with confidence. As Senior Product Manager - Technical, you'll own the product strategy and execution for FinOps for AI across AWS, defining how customers understand, allocate, monitor, control, and optimize their AI and ML spend. You'll be at the forefront of token economics, building the cost management primitives that give finance teams, ML platform engineers, and business leaders visibility into the true cost of their AI workloads. As AI workloads shift from experimentation to production, you'll define how organizations budget, forecast, and govern token consumption at enterprise scale. In this role, you'll drive the vision for making AWS the platform for AI cost intelligence, define the product strategy that governs how AI workload costs are measured, attributed, and optimized, and own the frameworks that connect token-level spending to business outcomes. You'll evaluate emerging patterns in AI infrastructure and determine how billing and cost management must evolve to serve them. You'll pioneer the tooling that transforms token economics into a manageable, optimizable discipline for every enterprise running AI on AWS. You'll collaborate with engineering teams, applied scientists, and product teams across AWS (including Bedrock, AgentCore, SageMaker, EC2, and Trainium/Inferentia) to ensure customers have end-to-end cost visibility and optimization for their AI workloads. This role requires deep technical understanding of AI/ML infrastructure economics, token pricing models, cloud billing systems, and enterprise financial planning, combined with the ability to influence across organizational boundaries to deliver a unified cost experience. If you're passionate about making AI economically sustainable at scale and excited about defining the discipline of token economics for the world's largest cloud, this role offers the opportunity to shape AWS's FinOps for AI strategy from the ground up. Key job responsibilities * Create the product vision, and strategy for internal and external customers. * Engage with customers through a variety of channels and serve as the voice of the customer internally. * Gain feedback from customers to ensure right focus in building our products * Manage the entire product life cycle from strategic planning to tactical execution. * Partner with engineering teams to deliver on the product roadmap. * Establish goals and review metrics to identify opportunities and measure the success of the product features. * Define and maintain a product roadmap with inputs from all stakeholders. * Provide effective written and verbal updates on the products and key projects to senior leadership and stakeholders. Basic Qualifications: - 5+ years of technical product management with internet business experience - 5+ years of working as a Technical Product Manager experience - 3+ years of technical (software development, network development, IT, other related) experience - 7+ years of full product life cycle experience - 5+ years of P&L management and pricing experience - 5+ years of creating written docs for development of new products experience - 5+ years of enterprise security product experience - 5+ years of product management in the cloud computing technology space experience - Bachelor's degree in computer science, engineering, math, finance, or economics - Experience in taking a product from conception & definition phase through engineering design and taking it to market - Experience delivering large-scale SaaS, PaaS or LaaS products where you are responsible for the full product lifecycle, from concept through GTM (go to market) Preferred Qualifications: - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - Experience working within teams delivering software products and features using agile methodologies 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, WA, Seattle - 152,200.00 - 205,900.00 USD annually", "summaryDescription" : "Senior PMT-ES, FinOps for AI, AWS Insights and Optimizations at Amazon Development Center U.S., Inc.. Focus on product strategy. Develop roadmap", "postedDate" : "2026-06-15T00:00:00.000", "createdAt" : "2026-06-15T21:58:12.707", "lastUpdated" : "2026-06-16T06:28:19.840", "ingestTimestamp" : "2026-06-15T21:58:12.707", "mongoId" : "6a305649f292fd229cf26d99", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10448907/apply", "salaryAnnualMin" : 152000, "salaryAnnualMax" : 205900, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "69fe94fc4c40e2acd1121725", "title" : "Software Development Engineer, AWS Insights and Optimizations", "company" : "Amazon Development Center U.S., Inc.", "industry" : "Software Development, Cloud Computing", "salary" : { "min" : 158000.0, "max" : 213800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-15T02:09:57.003", "fingerprint" : "324ed28eb3aa231d5d5c907f3de178db6d3fe16d86b5245da8a375d9689c6309", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10415439/apply", "externalId" : "2878face-e9f9-418b-9dd5-9c9a98f1d4b9", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "C#, C++, Java, Perl, GenAI, ML", "professionalSkills" : [ "System design", "Reliability", "Scaling", "Cost management", "Cost optimization", "Cost forecasting", "Cost estimation" ], "hardSkillsList" : [ "Distributed systems", "High-availability systems", "Automated ticket triage", "Pipeline remediation", "Test generation", "Deployment validation" ], "hardSkills" : [ { "name" : "Distributed systems", "level" : "intermediate" }, { "name" : "High-availability systems", "level" : "intermediate" }, { "name" : "Automated ticket triage", "level" : "intermediate" }, { "name" : "Pipeline remediation", "level" : "intermediate" }, { "name" : "Test generation", "level" : "intermediate" }, { "name" : "Deployment validation", "level" : "intermediate" } ], "majorSkills" : "AWS, Cost management, Distributed systems", "majorSkillsList" : [ "AWS", "Cost management", "Distributed systems" ], "coreResponsibilities" : "Design distributed services, Build distributed services, Operate distributed services, Improve operational health, Resolve tickets, Respond to on-call, Drive engineering efficiency, Automate ticket triage, Automate pipeline remediation, Automate test generation, Automate deployment validation, Contribute to S-Team commitments, Collaborate with science teams, Productionize research innovations, Write clean code, Write efficient code, Write well-tested code, Deliver scalable systems, Demonstrate ownership of problems", "teamCollaboration" : "Cross-functional teams; Science teams; Applied Scientists", "domainKnowledge" : "AWS Billing; Cost management; Cost anomaly detection; Pricing calculator; Alerts; Forecasting; Heimdall; AWS partitions; FinOps", "domainList" : [ "aws-billing", "cost-management", "cost-anomaly-detection", "pricing-calculator", "alerts", "forecasting", "heimdall", "aws-partitions", "finops" ], "domainSpecificKnowledge" : [ "AWS Billing", "Cost management", "Cost anomaly detection", "Pricing calculator", "Alerts", "Forecasting", "Heimdall", "AWS partitions", "FinOps" ], "continuousLearning" : "Learn Gen AI/ML technologies; Learn engineering best practices", "innovationCreativity" : "Experiment; Innovate", "problemSolvingSkills" : "Complex technical problems", "specialRequirements" : "On-call response", "qualificationsBasic" : "3+ years software development experience, 2+ years system design/architecture experience, 1+ years software development engineer experience, 1+ years designing distributed software applications, Experience with full SDLC, Bachelor's degree or foreign equivalent", "qualificationsPreferred" : "3+ years full SDLC experience, Bachelor's degree in computer science, Experience with AI/ML technologies, Familiarity with cost management domains, Familiarity with billing domains, Familiarity with FinOps domains", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are looking for a Software Development Engineer to join the Hex team within AWS Insights and Optimizations. This team owns the execution plane and data plane for AWS Billing and cost management — the services that power Budgets, Cost Anomaly Detection, Pricing Calculator, Alerts, Forecasting, and Heimdall across all AWS partitions globally. You will work on high-scale, high-availability distributed systems that process cost data for millions of AWS accounts. The services you own directly impact how customers monitor, control, and optimize their AWS spending. You will also have the opportunity to apply GenAI tooling to reduce operational toil, improve pipeline health, and build automation that scales the team's impact Key job responsibilities What you'll do * Design, build, and operate distributed services that power AWS cost management across all 8 AWS partitions * Own and improve the operational health of high-volume services — pipeline deployments, ticket resolution, on-call response, and automated testing * Drive engineering efficiency through automation — automated ticket triage, pipeline remediation, test generation, and deployment validation * Contribute to our S-Team commitments for Cost Monitoring and Estimation Products * Collaborate with science teams on ML-powered cost forecasting and anomaly detection models * Write clean, efficient, and well-tested code while collaborating with cross-functional teams to deliver scalable systems. * Collaborate with Applied Scientists to productionize research innovations while ensuring system reliability, performance, and cost efficiency. * Demonstrate strong ownership of complex technical problems spanning multiple services and teams. * Continuously learn new Gen AI/ML technologies and engineering best practices while demonstrating Amazon's Leadership Principles, particularly Ownership and Deliver Results, in daily work. About the team We are a collaborative, highly-motivated group within AWS Insights & Organizations. We are entrepreneurial with a high degree of ownership and a commitment to experiment and innovate. We encourage diversity of opinion and welcome dissent with respect and thoughtful debate as we search for the best solutions - and we'd love to hear yours. This is an opportunity to think about big problems that impact millions of our AWS customers and solve them with our collective ingenuity, all while engaging various teams across our broader org. You will join a team at the center of AWS cost management — the services that every customer interacts with when they set budgets, receive anomaly alerts, or forecast their AWS spend. Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 1+ years of software development engineer or related occupational experience - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - Experience with AI/ML technologies - Familiarity with cost management, billing, or FinOps domains Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, NY, New York - 158,100.00 - 213,800.00 USD annually", "summaryDescription" : "Software Development Engineer, AWS Insights and Optimizations at Amazon Development Center U.S., Inc.. Skills: AWS, Cost management, Distributed systems. Design distributed services. Build distributed services", "postedDate" : "2026-06-13T02:16:11.198", "createdAt" : "2026-06-13T02:16:11.198", "lastUpdated" : "2026-06-15T02:09:57.003", "ingestTimestamp" : "2026-06-13T02:16:11.198", "mongoId" : "69fe94fc4c40e2acd1121725", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10415439/apply", "salaryAnnualMin" : 158000, "salaryAnnualMax" : 213800, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Distributed systems", "High-availability systems", "Automated ticket triage", "Pipeline remediation", "Test generation", "Deployment validation", "AWS", "Cost management", "System design", "Reliability", "Scaling", "Cost optimization", "Cost forecasting", "Cost estimation", "AWS Billing", "Cost anomaly detection", "Pricing calculator", "Alerts", "Forecasting", "Heimdall", "AWS partitions", "FinOps" ], "skillCount" : 22, "jobCategory" : "engineering", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "69fa9cc04c40e2acd174f904", "title" : "Software Development Engineer II, Digital Pricing and Competitive Intelligence (D-PRICIQ )", "company" : "ADCI MAA 15 SEZ", "industry" : "Software Development, entertainment", "salary" : { "min" : 1650000.0, "max" : 2550000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Software Development Engineer II in Chennai, India, adjusted for the Technology industry and a large company size." }, "location" : "Chennai, Tamil Nadu, IND", "locations" : [ "Chennai, Tamil Nadu, IND" ], "timestamp" : "2026-06-15T07:32:59.884", "fingerprint" : "424131360fe9f21c7c7d051a0f08e3c5dde7a2e91f5d4572b3920edea8dc90e6", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10411915/apply", "externalId" : "dce6cb36-5da4-452d-9344-ab6998081fce", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Chennai", "state" : "Tamil Nadu", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "13.0836939,80.2701860" } ], "locationText" : "Chennai, Tamil Nadu, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "AWS, AI, Machine Learning, LLMs, GenAI, Neural networks", "professionalSkills" : [ "Pricing strategies", "System design", "Distributed systems" ], "hardSkillsList" : [ "Object-oriented design", "Data structures", "Algorithms" ], "hardSkills" : [ { "name" : "Object-oriented design", "level" : "intermediate" }, { "name" : "Data structures", "level" : "intermediate" }, { "name" : "Algorithms", "level" : "intermediate" } ], "majorSkills" : "AI, Machine Learning, Pricing systems", "majorSkillsList" : [ "AI", "Machine Learning", "Pricing systems" ], "coreResponsibilities" : "Develop pricing systems, Process prices daily, Design distributed systems, Implement AI solutions, Optimize model performance, Develop pricing systems", "domainKnowledge" : "Digital pricing; Competitive intelligence", "domainList" : [ "digital-pricing", "competitive-intelligence" ], "domainSpecificKnowledge" : [ "Digital pricing", "Competitive intelligence" ], "continuousLearning" : "AI/ML training programs; Conference opportunities; Innovation time", "innovationCreativity" : "Explore new technologies", "problemSolvingSkills" : "Solve complex challenges", "qualificationsBasic" : "3+ years software development experience, 2+ years design or architecture experience, Experience programming one language, Experience with AWS or cloud technologies, Knowledge of computer science fundamentals", "qualificationsPreferred" : "Experience with AI/ML technologies, Understanding of AI model optimisation, Experience with large language models, Familiarity with machine learning frameworks", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We invite you to be part of a high-impact team that is shaping the future of pricing at Amazon. The Digital Pricing team is at the forefront of leveraging AI and machine learning to compute millions of prices across our digital products. We are looking for a Software Development Engineer to help design and build the next generation of our AI-powered pricing systems. As a SDE, You'll will develop next generation pricing systems that process millions of prices daily. Our platform combines pricing strategies with advanced AI models, including Large Language Models (LLMs), GenAI and custom neural networks, to make real-time pricing decisions that directly impact our business and customers. Joining the Digital Pricing team means taking on a role where technical expertise meets real-world impact. From the outset, you’ll work with advanced AI technologies to develop solutions that power pricing across Amazon’s extensive digital products. This team is not only building innovative pricing systems—but also redefining how millions of customers experience Amazon’s digital products. The technical challenges you'll tackle are unique. You'll work with advanced AWS infrastructure, design distributed systems at massive scale, and implement AI solutions that directly impact Amazon's digital business. Whether you're optimising model performance, or developing new pricing systems, you'll have the resources and support to succeed. By joining Digital Pricing, you're not just changing teams – you're accelerating your career while solving complex challenges that matter. We're committed to helping you become the best engineer you can be, all while working on systems that shape Amazon's future. A day in the life We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. Your growth matters to us. You will have a structured path to achieve your career aspirations, backed by dedicated mentorship from senior technical leaders. You'll have access to specialised AI/ML training programs, conference opportunities, and innovation time to explore new technologies. Our engineers regularly present their innovations, and work to senior leadership. Our team's culture emphasises both individual growth and collective success. Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language - Experience with AWS or cloud technologies - Knowledge of computer science fundamentals (e.g., data structures & algorithms, OO design) Preferred Qualifications: - Experience with AI/ML technologies - Understanding of AI model optimisation techniques - Experience with large language models (LLMs) - Familiarity with machine learning frameworks (PyTorch, TensorFlow) Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Software Development Engineer II, Digital Pricing and Competitive Intelligence (D-PRICIQ ) at ADCI MAA 15 SEZ. Skills: AI, Machine Learning, Pricing systems. Develop pricing systems. 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