{ "count" : 69392, "data" : [ { "id" : "6a2cd71e74d8ee00a0a4054f", "title" : "Staff Product Designer, Outcomes", "company" : "Hinge Health", "industry" : "RnD", "salary" : { "min" : 195000.0, "max" : 275000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "San Francisco-HQ", "locations" : [ "San Francisco-HQ" ], "timestamp" : "2026-06-15T03:30:16.578", "fingerprint" : "19f20d584876a00f80311d351326d11e9caafbdb4b2dc98ce9b6ff7b5dc337a1", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/hinge-health/ebb10992-73df-4efb-85b1-979aba7f046d/application", "externalId" : "ebb10992-73df-4efb-85b1-979aba7f046d", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Staff", "technicalSkills" : "UI/UX, Data visualization", "professionalSkills" : [ "Product thinking", "Design strategy", "Design systems", "Systems thinking" ], "hardSkillsList" : [ "Interaction design", "Visual design", "Data analysis" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Interaction design", "level" : "intermediate" }, { "name" : "Visual design", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Product design, Design strategy, User experience", "majorSkillsList" : [ "Product design", "Design strategy", "User experience" ], "coreResponsibilities" : "Lead design vision and strategy, Improve pain data sharing, Create useful feedback loops, Translate complex data into interfaces, Understand trends and next actions, Partner to define hypotheses, Run experiments, Use signals to improve experience, Raise quality bar, Create frameworks and patterns, Influence adjacent teams, Champion accessibility and clarity", "teamCollaboration" : "Partner with Product; Partner with Engineering; Partner with Data; Cross-functional teammates", "domainKnowledge" : "Clinical data; Healthcare system; Digital care", "domainList" : [ "clinical-data", "healthcare-system", "digital-care" ], "domainSpecificKnowledge" : [ "Clinical data", "Healthcare system", "Digital care" ], "communicationSkills" : "Influence skills", "problemSolvingSkills" : "Simplify complex data", "outcomesObjectives" : "Help members see progress; Help members stay engaged; Build member confidence", "qualificationsBasic" : "4-6 years product design experience, Bachelor's Degree in Design, Expertise in interaction and visual design, Experience leading ambiguous problem spaces, Fluency in data-informed design, Excellent communication and influence skills, Demonstrated success mentoring designers, Prototyping and systems-thinking skills", "qualificationsPreferred" : "10+ years product design experience, Bachelor's or Master's degree, Experience designing progress tracking, Experience simplifying complex systems, Proven facilitation skills, Experience shaping design systems, Curiosity about emerging AI tools", "remoteFriendly" : true, "rawDescription" : "ABOUT THE ROLE Hinge Health values design as a strategic partner in shaping product direction and member experience. As a Staff Product Designer on the Outcomes Pod, you will focus on helping people understand, log, and act on their progress over time. At the Staff level, you will lead large ambiguous problem spaces, shape product vision and strategy with partners, and align senior leaders around a clear design point of view. You will partner closely with Product, Engineering, Data, and other cross-functional teammates to turn complex, data-rich, emotionally sensitive moments into simple and motivating experiences. We are looking for a designer with strong UI/UX craft, deep product thinking, and the ability to simplify complex clinical data into comprehensible member-facing insights. This is a high-impact role for someone who wants to shape how Hinge Health helps members see progress, stay engaged, and build confidence in their care journey. Hinge Health is building a new healthcare system, one built around the person, with a mission to revolutionize the treatment and prevention of pain and help move people beyond pain. This position provides a unique opportunity to drive high-impact outcomes during a transformative phase of growth. As we scale with 51% year-over-year revenue gains and a member base expanding by over 47% annually, your leadership will be instrumental in sustaining our momentum and shaping the future of digital care. WHAT YOU'LL ACCOMPLISH - Lead the design vision and strategy for the Outcomes pod’s member-facing experiences, with primary focus on the Progress tab, pain logging, and the broader story members see about their improvement over time. - Improve how and when members share pain data and create useful feedback loops. - Translate complex clinical and behavioral data into simple, motivating interfaces that help members understand trends, next best actions, and the value of staying engaged. - Partner with Product, Engineering, and Data to define hypotheses, run experiments, and use qualitative and quantitative signals to improve member experience and outcomes. - Raise the quality bar across the pod by creating frameworks, patterns, and design principles that make the work more coherent and scalable over time. - Influence adjacent teams when shared surfaces, shared metrics, or shared behaviors affect outcomes-related experiences. - Champion accessibility, clarity, and product quality so members with different needs, contexts, and motivation levels can succeed. BASIC QUALIFICATIONS - At minimum 4-6 years of product design experience, including close partnership with product and engineering teams. - Bachelor’s Degree in Interaction, Industrial, Product, or Service Design, Human-Computer Interaction, or equivalent experience. - Expertise in interaction and visual design, with a track record of advancing craft quality across teams. - Experience leading ambiguous problem spaces, setting vision, and defining design strategy across products or platforms. - Strong fluency in data-informed design, including forming hypotheses, partnering on experiments, facilitating research, and translating insights into action. - Excellent communication and influence skills, with the ability to align cross-functional partners and senior stakeholders around design direction. - Demonstrated success mentoring other designers and elevating the quality and impact of team output. - Strong prototyping and systems-thinking skills, with the ability to create cohesive experiences across flows, components, and product surfaces. PREFERRED QUALIFICATIONS - 10+ years of product design experience, including close partnership with product and engineering teams. - Bachelor’s or Master’s degree in Interaction, Industrial, Product, or Service Design - Experience designing progress tracking, dashboards, data visualization, or other data-rich product experiences. - Experience simplifying complex systems into intuitive consumer-facing experiences, especially in health, wellness, or habit-forming product spaces. - Proven facilitation skills and comfort leading leadership conversations on large,ambiguous, cross-functional initiatives. - Experience contributing to or shaping design systems that scale quality and consistency across products. - Curiosity about emerging AI tools and workflows, and thoughtful judgment about where they can improve design quality or speed. - Passion for helping people live healthier lives through thoughtful design and technology. ABOUT HINGE HEALTH Hinge Health leverages software, including AI, to largely automate care for joint and muscle health, delivering an outstanding member experience, improved member outcomes, and cost reductions for its clients. The company has designed its platform to address a broad spectrum of MSK care—from acute injury, to chronic pain, to post-surgical rehabilitation—and the platform can help to ease members’ pain, improve their function, and reduce their need for surgeries, all while driving health equity by allowing members to engage in their exercise therapy sessions from anywhere. The company is headquartered in San Francisco, California. Learn more at http://www.hingehealth.com/http://www.hingehealth.com WHAT YOU'LL LOVE ABOUT US - Participation in our Employee Stock Purchase Plan (ESPP), allowing you to acquire company stock via payroll at a 15% discount against the lower market price. - Comprehensive and inclusive medical coverage and benefit programs for you and your dependents. - Flexible retirement savings through Traditional or Roth 401(k) investment paths. - Dedicated lifestyle stipends designed to fuel your professional growth and continuous learning. CULTURE AND ENGAGEMENT Hinge Health is an equal opportunity employer and prohibits discrimination and harassment of any kind. We make employment decisions without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, pregnancy, or any other basis protected by federal, state or local law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We provide reasonable accommodations for candidates with disabilities. If you feel you need assistance or an accommodation due to a disability, let us know by reaching out to your recruiter. By submitting your application you are acknowledging we are using your personal data as outlined in the personnel and candidate privacy policy. https://www.hingehealth.com/about/personnel-and-candidate-privacy-policy/ Beware of Phishing Attempts: We've noticed an increase in phishing where fraudsters impersonate employees and send fake job offers to steal sensitive information. We'll never ask for financial details during the hiring process and only use \"@hingehealth.com http://hingehealth.com\" emails. If you receive a suspicious offer, stop communication and report it to the US FBI Internet Crime Complaint Center. To verify an email from our recruiting team, forward it to security@hingehealth.com https://app.ashbyhq.com/admin/organizational-settings/theme#.", "summaryDescription" : "Staff Product Designer, Outcomes at Hinge Health. Skills: Product design, Design strategy, User experience. Lead design vision and strategy. 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550000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Executive Head of Business Value Services in New York, USA, within the SaaS industry, adjusted for company size and seniority." }, "location" : "New York, New York, United States", "locations" : [ "New York", "New York", "United States", "San Francisco", "California", "United States" ], "timestamp" : "2026-06-16T06:12:42.028", "fingerprint" : "1bf4f484212d3a248fd673f6b1dc6667b5270022deafee5272d2eade71018ccb", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/sigmacomputing/jobs/7770270003", "externalId" : "7770270003", "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", "experienceMinYears" : 10, "experienceMaxYears" : 99, "experienceLevel" : "Executive", "technicalSkills" : "CRM, Salesforce", "professionalSkills" : [ "Sales strategy", "Account management", "Negotiation", "Forecasting", "Pipeline management", "Sales enablement", "Market analysis", "Business development" ], "hardSkillsList" : [ "Sales forecasting", "Quota attainment", "Revenue generation", "Deal closure" ], "hardSkills" : [ { "name" : "Sales forecasting", "level" : "intermediate" }, { "name" : "Quota attainment", "level" : "intermediate" }, { "name" : "Revenue generation", "level" : "intermediate" }, { "name" : "Deal closure", "level" : "intermediate" } ], "majorSkills" : "Enterprise software sales, Data analytics sales, Revenue generation", "majorSkillsList" : [ "Enterprise software sales", "Data analytics sales", "Revenue generation" ], "coreResponsibilities" : "Drive revenue growth, Develop and execute sales strategies, Manage the full sales cycle, Build and maintain strong client relationships, Identify and pursue new business opportunities, Collaborate with marketing and product teams, Provide accurate sales forecasts, Achieve and exceed sales quotas", "teamCollaboration" : "Cross-functional teams; Marketing; Product teams", "domainKnowledge" : "Data analytics; Business intelligence; Enterprise software", "domainList" : [ "data-analytics", "business-intelligence", "enterprise-software" ], "domainSpecificKnowledge" : [ "Data analytics", "Business intelligence", "Enterprise software" ], "toolProficiency" : [ "Salesforce" ], "communicationSkills" : "Client presentations; Sales proposals", "problemSolvingSkills" : "Sales strategy development; Client needs analysis", "specialRequirements" : "Travel required", "outcomesObjectives" : "Exceed sales quotas; Drive revenue growth; Expand market share", "qualificationsBasic" : "5+ years of experience in enterprise software sales, Proven track record of exceeding sales quotas, Experience selling data analytics or business intelligence solutions, Bachelor's degree in Business, Marketing, or related field", "qualificationsPreferred" : "MBA or advanced degree, Experience with CRM software (e.g., Salesforce), Experience in a startup environment", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Head of Business Value Services In-Office | Full-Time As the Head of Business Value Services, you will lead and scale the Business Value Services (BVS) function at Sigma. Through the creation and company-wide enablement of value frameworks, methodologies, and resources — paired with direct engagement on strategic opportunities — you will play a critical role in driving net-new logos and the retention, expansion, and growth of our customers. This is a high-impact role focused on strategy, design, go-to-market alignment, and field enablement. Reporting to the Global Head of Strategic Marketing, you will own the vision and roadmap for BVS while operationalizing the Sigma value framework across the customer lifecycle. You will be expected to help the GTM organization meet and exceed revenue and NDR targets, while tracking, analyzing, and communicating key metrics and business trends. This is a cross-functional role, working closely with Sales, Product, Presales, Customer Success, and Enablement. Your ability to lead through influence and cross-functional collaboration will be key to scaling BVS, demonstrating to customers the significant value and returns on investment with Sigma, and positioning Sigma as a key partner in our customers’ digital transformation journeys. What You Will Be Doing Develop and execute the vision and strategy for the Business Value Services organization, advancing the BVS practice through KPIs that track support against revenue and retention outcomes. Develop and continually improve value-selling resources for the GTM organization — including the value framework, playbooks, discovery tools, ROI/TCO models, and reusable templates — and ship Sigma-based tooling that accelerates outputs at scale. Partner with GTM stakeholders (Sales, Presales, Customer Success, Enablement) to build, operationalize, and scale value-based assets that support consistent value messaging and drive revenue growth. Train and support the GTM organization on the value framework and value-selling best practices to drive net-new logos and the retention and expansion of existing customers. Lead pre- and post-sale value-based discovery sessions and executive readouts to win strategic opportunities and quantify realized value. Develop sophisticated, comprehensive value models (TCO, ROI, etc.) to quantify the business value created with an investment in Sigma. Act as a trusted advisor on strategic deals, providing expertise, thought leadership, and insights into micro- and macro-level trends. Build and deliver compelling, CxO-facing value assessment deliverables, actively collaborating across the GTM ecosystem. Complete the feedback loop with Product and Product Marketing, sharing Voice of Field/Customer insights to inform templates, tooling, messaging, and roadmap priorities. Qualifications We Need 10+ years of professional experience in consultative, strategic, and analytical customer-facing roles (e.g., Value Engineering, Business Value Services, Management Consulting, IT Consulting, etc.). Experience in a high-growth B2B SaaS startup environment. Experience with production business intelligence solutions. Demonstrated success in achieving revenue and growth metrics. Strategic mindset and creative problem-solving skills. Strong executive presence and a proven track record of advising C-suite executives toward successful business outcomes. Change management expertise and the ability to influence and motivate change. Exceptional strategic consulting skill set, including discovery, analysis, financial modeling, communication and storytelling, persuasion, and project leadership. Highly proficient in building financial models and presentations for C-suite executives. Experience executing complex enterprise software sales engagements with large enterprises; familiarity with methodologies such as MEDDPICC/MEDDIC and Force Management is a plus. Ability to travel for client-engagements (up to 50%). Bachelor’s degree in business, finance, or a related field required; MBA preferred. About us: Sigma is the AI Apps and agentic analytics platform built on the cloud data warehouse. Business and technical teams use Sigma to explore live data, build intelligent applications, and automate critical workflows all without moving data or breaking governance. Sigma supports a spreadsheet interface, SQL, Python, and native AI in a single governed workspace, giving every team the speed to act and IT the control to scale. Sigma is trusted by more than 2,000 customers, including AMD, Duolingo, Colgate-Palmolive, and JPMorgan Chase. Sigma announced its $80M in Series E financing in May 2026. The round was led by Princeville Capital, with new strategic investors Databricks Ventures, ServiceNow Ventures, and Workday Ventures participating alongside returning investors Altimeter Capital, Avenir Growth Capital, D1 Capital Partners, K5 Global, NewView Capital, Spark Capital, Sutter Hill Ventures, and XN. This milestone follows Sigma reaching $200M in annual recurring revenue in April 2026, with more than 100% year-over-year growth and 1.1 million new active users added in the latest fiscal year. Come join us! Benefits For Our Full-Time Employees: Equity Generous health benefits Flexible time off policy. Take the time off you need! Paid bonding time for all new parents Traditional and Roth 401k Commuter and FSA benefits Lunch Program Dog friendly office Sigma is an equal opportunity employer. We are committed to building a smart and strong team regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, veteran, or any other protected status. We look forward to learning how your experience can enable all of us to grow. Note: We have an in-office work environment in all our offices in SF, NYC, London and Sydney. Our Privacy Practices When you submit a job application on this site, Sigma processes your personal data for the purposes of evaluating your candidacy for employment at Sigma and as otherwise needed throughout the recruitment and hiring process. Please review Sigma’s Candidate Privacy Notice for more details. Please note that your personal data may be transferred to a country other than the one in which it was provided (including to the USA, the UK, and Canada, Australia). Sigma’s use of AI This hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.", "summaryDescription" : "Head of Business Value Services at Sigma Computing. Skills: Enterprise software sales, Data analytics sales, Revenue generation. Drive revenue growth. Develop and execute sales strategies", "postedDate" : "2026-06-14T20:06:18.325", "createdAt" : "2026-06-14T20:06:18.325", "lastUpdated" : "2026-06-16T06:12:42.028", "ingestTimestamp" : "2026-06-14T20:06:18.325", "mongoId" : "6a2c944774d8ee00a098a0b7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 350000, "salaryAnnualMax" : 550000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Sales forecasting", "Quota attainment", "Revenue generation", "Deal closure", "Enterprise software sales", "Data analytics sales", "Sales strategy", "Account management", "Negotiation", "Forecasting", "Pipeline management", "Sales enablement", "Market analysis", "Business development", "Data analytics", "Business intelligence", "Enterprise software", "Salesforce" ], "skillCount" : 18, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Executive", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307596f292fd229c0119c3", "title" : "Korean into English Copywriter", "company" : "Welocalize", "industry" : "Global Freelance & Agency Opportunities", "salary" : { "min" : 45000.0, "max" : 75000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Korean into English Copywriter in Europe, adjusted for remote work and the technology industry." }, "location" : "Remote - Europe", "locations" : [ "Remote - Europe", "Remote, Worldwide" ], "timestamp" : "2026-06-16T15:25:58.317", "fingerprint" : "efdbad46b5de060cc8a454135a9e85b042c060e6680284bbab1bddcde91d19f9", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/weloglobal/89f4bd78-d121-4e3d-bc40-69b5272cfe96/apply", "externalId" : "89f4bd78-d121-4e3d-bc40-69b5272cfe96", "industryFunction" : { }, "structuredLocations" : [ { "continent" : "eu", "workMode" : "remote" } ], "locationText" : "", "employmentType" : "CONTRACT", "professionalSkills" : [ "Copy editing", "Translation", "Localization" ], "hardSkillsList" : [ "English copywriting" ], "hardSkills" : [ { "name" : "English copywriting", "level" : "intermediate" } ], "majorSkills" : "Localization, Marketing tone", "majorSkillsList" : [ "Localization", "Marketing tone" ], "coreResponsibilities" : "Create 8 English title options, Develop titles for Korean content, Balance natural English with cultural authenticity, Reflect original Korean title's core meaning, Deliver meaningful titles, Deliver culturally relevant titles, Deliver universally appealing titles, Answer client stakeholder questions, Provide rationales for title choices, Add rationales to exploration documents", "teamCollaboration" : "Client stakeholders; Global production teams; Localization teams", "domainKnowledge" : "Korean content localization; English content localization; Marketing tone; Brand voice; Customer-facing communication", "domainList" : [ "korean-content-localization", "english-content-localization", "marketing-tone", "brand-voice", "customer-facing-communication" ], "domainSpecificKnowledge" : [ "Korean content localization", "English content localization", "Marketing tone", "Brand voice", "Customer-facing communication" ], "communicationSkills" : "Answer questions in English", "documentationSkills" : "Title exploration analysis", "outcomesObjectives" : "Create resonant titles; Deliver meaningful titles; Deliver culturally relevant titles; Deliver universally appealing titles", "qualificationsBasic" : "Native proficiency in English, Excellent command of Korean, 3+ years of professional experience in translation, Degree in Translation, Linguistics, or related field OR 5+ years of professional translation experience without a formal translation degree, Demonstrated experience as copywriter, Understanding of marketing tone, Understanding of brand voice, Understanding of customer-facing communication, Excellent attention to detail, Excellent terminological consistency, Excellent linguistic accuracy, Ability to deliver high-quality copy edits, Meeting deadlines, Flexible, reliable, and responsive, Fast-paced localization environment, Communication skills, Openness to feedback and revisions, Provide rationales for title choices, Write rationales in English and Korean", "qualificationsPreferred" : "Transcreator/copywriter with vast experience, Passion for marketing, Mother tongue language, Bold, brave, effective language, Language that resonates with audience", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Description As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. OVERVIEW MAIN PURPOSE OF THE JOB Welocalize is looking for a Korean into English copywriter with proven experience to join our growing team. This is an on-going freelance and remote position. Project Details Location: Remote Expected Volume: The goal of this project is to create 8 English titles options across two distinct creative exploration groups for Korean content that resonate with both English-speaking and Korean-speaking audiences.Titles should balance natural English with cultural authenticity, reflecting the original Korean title's core meaning and storyline. The focus is on delivering titles that are meaningful, culturally relevant, and universally appealing. There will be some vetting with relevant client stakeholders so candidate must be readily available to answer any questions in English (Korean language support will be provided). Employment Type: Freelance/Independent Contract Task type: Copy-Editing (CE) ## Requirements Native proficiency in English with excellent command of Korean Proven experience with copy editing Korean (ko-KR) to English (en-US) content 3+ years of professional experience in translation with a degree in Translation, Linguistics, or a related field OR 5+ years of professional translation experience without a formal translation degree Demonstrated experience as copywriter Strong understanding of marketing tone, brand voice, and customer‑facing communication Excellent attention to detail, terminological consistency and linguistic accuracy Ability to deliver high‑quality copy edits while meeting deadlines Flexible, reliable, and responsive in a fast‑paced localization environment Strong communication skills and openness to feedback and revisions When requested, the candidate would need to provide rationales for title choices, which should be added to title exploration or analysis documents (ie: for Korean-to-English localization, rationales must be written in both English and Korean) ## WHAT DO WE OFFER Steady volume of projects with the opportunity for a long‑term partnership Collaboration with global production and localization teams Work within a multicultural, international environment covering a wide range of content types and domains On‑time, reliable payments Onboarding and ongoing training Access to well‑defined linguistic assets Exposure to high‑visibility, large‑scale global products ## Additional Information Qualifications Here is how we imagine our ideal candidate: Transcreator/copywriter with vast experience in copywriting; Transcreator/copywriter with passion for marketing and mother tongue language. We also need you to be good at: Teamwork: The end copy must be the result of true collaboration between the different stakeholders involved. Language: must be bold, brave, effective and resonate with audience If this opportunity sounds appealing to you, please apply below. We look forward to hearing from you! Welocalize Talent Management Team Job Reference: #LI-JC1", "summaryDescription" : "Korean into English Copywriter at Welocalize. Skills: Localization, Marketing tone. Create 8 English title options. Develop titles for Korean content", "postedDate" : "2026-06-15T08:30:37.599", "createdAt" : "2026-06-15T08:30:37.599", "lastUpdated" : "2026-06-16T15:25:58.317", "ingestTimestamp" : "2026-06-16T03:26:17.308", "mongoId" : "6a307596f292fd229c0119c3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "English copywriting", "Localization", "Marketing tone", "Copy editing", "Translation", "Korean content localization", "English content localization", "Brand voice", "Customer-facing communication" ], "skillCount" : 9, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306fd4f292fd229cfed769", "title" : "Product Manager, Global Payouts – Cross-Border & Enterprise Capabilities", "company" : "Stripe", "industry" : "FinTech", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Product Manager in the FinTech industry in the United States, adjusted for company size and remote work." }, "location" : "US", "locations" : [ "US" ], "timestamp" : "2026-06-16T11:30:50.320", "fingerprint" : "7585b50c5f6e4b48c91772c41a8a93de5dff189e1eab59bb985ed4c6988b1d13", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://stripe.com/jobs/search?gh_jid=7994443", "externalId" : "7994443", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Product strategy", "Roadmap development", "User story creation", "Cross-functional collaboration", "Strategic vision", "Productization", "Enterprise controls", "Reporting features", "Billing features", "Commercial models", "Product investments", "Industry-specific capabilities" ], "hardSkillsList" : [ "Cross-border payments", "Enterprise billing", "Tax reporting", "Security access controls" ], "hardSkills" : [ { "name" : "Cross-border payments", "level" : "intermediate" }, { "name" : "Enterprise billing", "level" : "intermediate" }, { "name" : "Tax reporting", "level" : "intermediate" }, { "name" : "Security access controls", "level" : "intermediate" } ], "majorSkills" : "Cross-border expansion, Enterprise capabilities, Product strategy, Roadmap execution", "majorSkillsList" : [ "Cross-border expansion", "Enterprise capabilities", "Product strategy", "Roadmap execution" ], "coreResponsibilities" : "Expand cross-border infrastructure, Build out rate locking, Build local bank account coverage, Build cross-border card rails, Lead productization of fee passthrough, Translate bespoke solution into scalable capability, Define advanced controls for operators, Define reporting features for operators, Define billing features for operators, Deliver recipient tax reporting, Deliver two-step confirmation workflows, Deliver enterprise billing models, Deliver robust security access controls, Develop industry-specific capabilities, Own roadmap for global payout infrastructure, Prioritize rate locking, Prioritize local bank coverage, Prioritize cross-border card rails, Productize fee passthrough, Transform custom integration into offering, Drive rapid adoption, Design industry-specific solutions, Root in user research, Align with strategic GTM, Ship enterprise-grade controls, Ship reporting tools, Ship advanced security access controls, Architect enterprise billing primitives, Enable flexible commercial models, Partner with Sales, Partner with Partnerships, Support active enterprise deals, Distill client requirements, Collaborate across Financial Accounts, Collaborate across Connect, Ensure new capabilities integrate cleanly, Define success metrics, Track success metrics, Hold accountable to adoption targets", "teamCollaboration" : "Partner with Sales; Partner with Partnerships; Collaborate across Financial Accounts; Collaborate across Connect; Collaborate across money movement platform", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Global payouts; Cross-border payments; Financial infrastructure; Enterprise controls; Remittance; Fintech; Enterprise billing models; Interchange Plus; Platform fees", "domainList" : [ "global-payouts", "cross-border-payments", "financial-infrastructure", "enterprise-controls", "remittance", "fintech", "enterprise-billing-models", "interchange-plus", "platform-fees" ], "domainSpecificKnowledge" : [ "Global payouts", "Cross-border payments", "Financial infrastructure", "Enterprise controls", "Remittance", "Fintech", "Enterprise billing models", "Interchange Plus", "Platform fees" ], "communicationSkills" : "Written communication; Crisp specs; Clear PRDs", "problemSolvingSkills" : "Analytical instincts", "outcomesObjectives" : "Measurable adoption targets", "qualificationsBasic" : "5+ years product management experience, Own product area end-to-end, Define strategy, Drive execution, Measure outcomes, Ship products across segments, Work with Sales, GTM, or enterprise customers, Translate needs into product investments, Comfort with data and metrics, Build measurement framework before shipping", "qualificationsPreferred" : "Experience in payments, fintech, financial infrastructure, Experience on enterprise or B2B products, Experience productizing custom solutions", "remoteFriendly" : true, "rawDescription" : "About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team Global Payouts empowers Stripe users to move money effortlessly, quickly, and securely to anyone, anywhere. Businesses rely on us to distribute billions of dollars to employees, contractors, sellers, and claimants across our Dashboard, APIs, and platform integrations via Financial Accounts.We are gaining rapid momentum across both self-serve and enterprise segments. Our demand spans high-growth fintechs, leading AI platforms, and some of the world's largest marketplaces. We are now entering a decisive phase of expansion. Over the next 12–18 months, the capabilities we build robust cross-border infrastructure, advanced enterprise controls, and tailored vertical-specific features will determine whether Global Payouts becomes the definitive default for businesses distributing money at scale. This role sits at the absolute center of that mission. What you'll do We are looking for an entrepreneurial Product Manager to spearhead our cross-border expansion and enterprise capabilities. This is a high-impact, broad-scope role where you will set the strategic vision and drive execution across two pillars essential to our hyper-growth: Cross-border: You will expand the reach and competitive edge of our cross-border infrastructure by building out rate locking, local bank account coverage, and cross-border card rails. Crucially, you will lead the productization of fee passthrough—translating a bespoke solution originally built for a major AI platform into a broadly available, highly scalable capability. Enterprise: You will define and deliver the advanced controls, reporting, and billing features required by sophisticated, high-volume operators. This includes recipient tax reporting, two-step confirmation workflows, enterprise billing models (e.g., IC+, platform fees), and robust security access controls. Across both domains, you will partner directly with Sales, Partnerships, and Go-to-Market (GTM) teams to convert active enterprise demand into durable product investments, developing industry-specific capabilities for key verticals like remittance and fintech. Responsibilities Cross-Border Expansion Own the roadmap for global payout infrastructure, prioritizing rate locking, local bank coverage, and cross-border card rails. Productize fee passthrough, transforming a custom integration into a scalable, self-serve offering to drive rapid adoption among new users. Design industry-specific solutions for high-value verticals (e.g., remittance, fintech) rooted in deep user research and strategic GTM alignment. Enterprise Capabilities Ship enterprise-grade controls and reporting tools, including recipient tax reporting, two-step confirmation workflows, and advanced security access controls. Architect enterprise billing primitives—such as Interchange Plus (IC+) and platform fees—to enable flexible, scalable commercial models for large payout operators. Cross-Functional Leadership Partner with Sales and Partnerships to support active enterprise deals and PUA requests, distilling bespoke client requirements into scalable, prioritized product investments. Collaborate seamlessly across Financial Accounts, Connect, and the broader money movement platform to ensure new capabilities integrate cleanly and compound in value over time. Define and track success metrics, holding yourself accountable to measurable adoption targets across both self-serve and enterprise segments. Who you are Minimum requirements 5+ years of product management experience Demonstrated ability to own a product area end-to-end—defining strategy, driving execution, and measuring outcomes Experience shipping products that serve multiple user segments or operate across significant technical or regulatory complexity Proven ability to work with Sales, GTM, or enterprise customers and translate their needs into scalable product investments Strong analytical instincts: comfort with data, metrics, and building the measurement framework before you ship Strong written communication: crisp specs, clear PRDs, and the ability to build alignment across functions and levels Preferred qualifications Experience in payments, fintech, financial infrastructure, or other regulated industries Background working on enterprise or B2B products with complex commercial or compliance requirements Experience productizing bespoke or custom solutions into broadly available features", "summaryDescription" : "Product Manager, Global Payouts – Cross-Border & Enterprise Capabilities at Stripe. Skills: Cross-border expansion, Enterprise capabilities, Product strategy, Roadmap execution. Expand cross-border infrastructure. Build out rate locking", "postedDate" : "2026-06-16T01:15:57.097", "createdAt" : "2026-06-16T01:15:57.097", "lastUpdated" : "2026-06-16T11:30:50.320", "ingestTimestamp" : "2026-06-16T01:15:57.097", "mongoId" : "6a306fd4f292fd229cfed769", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 250000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Cross-border payments", "Enterprise billing", "Tax reporting", "Security access controls", "Cross-border expansion", "Enterprise capabilities", "Product strategy", "Roadmap execution", "Roadmap development", "User story creation", "Cross-functional collaboration", "Strategic vision", "Productization", "Enterprise controls", "Reporting features", "Billing features", "Commercial models", "Product investments", "Industry-specific capabilities", "Roadmap planning", "Global payouts", "Financial infrastructure", "Remittance", "Fintech", "Enterprise billing models", "Interchange Plus", "Platform fees" ], "skillCount" : 27, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3087a4f292fd229c08b1f8", "title" : "Business Analyst, Data Masking and Compliance", "company" : "Capco", "industry" : "Consulting", "salary" : { "min" : 118000.0, "max" : 152000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Canada - Toronto", "locations" : [ "Canada - Toronto" ], "timestamp" : "2026-06-16T12:32:44.174", "fingerprint" : "f519232f48132c719665d37d19932956dfa1532fec2df391bf8a340f99776803", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/capco/jobs/8003346", "externalId" : "8003346", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Toronto", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.6534817,-79.3839347" } ], "locationText" : "Toronto, Ontario, Canada", "employmentType" : "FULL_TIME", "professionalSkills" : [ "Data governance", "Risk remediation", "Stakeholder management", "Data analysis", "Process design", "Process engineering", "Operational improvement" ], "hardSkillsList" : [ "Data masking standards", "Evidence collection", "Compliance reporting", "Governance metrics" ], "hardSkills" : [ { "name" : "Data masking standards", "level" : "intermediate" }, { "name" : "Evidence collection", "level" : "intermediate" }, { "name" : "Compliance reporting", "level" : "intermediate" }, { "name" : "Governance metrics", "level" : "intermediate" } ], "majorSkills" : "Data masking, Compliance, Risk remediation, Data governance", "majorSkillsList" : [ "Data masking", "Compliance", "Risk remediation", "Data governance" ], "coreResponsibilities" : "Assess applications against data masking standards, Identify compliance gaps, Identify remediation requirements, Partner with application owners, Understand application processes, Understand data flows, Understand masking requirements, Design evidence collection processes, Implement evidence collection processes, Demonstrate compliance through objective testing, Facilitate stakeholder discussions, Align business requirements with standards, Support adoption of required controls, Create compliance reporting, Track status, Generate governance metrics", "teamCollaboration" : "Partnering with stakeholders; Bridging business and technology teams; Application owners; Business stakeholders; Senior stakeholders", "projectManagementSkills" : [ "Audit remediation" ], "domainKnowledge" : "Data masking; Data governance; Banking; Payments; Enterprise technology; Risk management; Operational risk", "domainList" : [ "data-masking", "data-governance", "banking", "payments", "enterprise-technology", "risk-management", "operational-risk" ], "domainSpecificKnowledge" : [ "Data masking", "Data governance", "Banking", "Payments", "Enterprise technology", "Risk management", "Operational risk" ], "communicationSkills" : "Stakeholder communication", "continuousLearning" : "Professional development; Industry-leading expertise", "problemSolvingSkills" : "Translating standards; Practical requirements", "outcomesObjectives" : "Strengthen data governance practices; Contribute to risk remediation program", "qualificationsBasic" : "Experience delivering risk, compliance, audit remediation, data governance, or regulatory change initiatives within financial services, Stakeholder management and communication skills, Ability to understand business processes, Experience performing data analysis, Process design, process engineering, or operational improvement experience", "qualificationsPreferred" : "Experience with data masking, Experience with data protection, Experience with privacy controls, Experience with information security programs, Knowledge of banking, Knowledge of payments, Knowledge of enterprise technology environments, Familiarity with audit remediation programs, Familiarity with regulatory examinations, Familiarity with control testing frameworks, Experience designing governance reporting, Experience designing compliance dashboards, Experience designing executive-level status reporting, Understanding of risk management frameworks, Understanding of operational risk practices", "rawDescription" : "Drive Enterprise Risk Remediation Through Data Governance Excellence The Role Capco is seeking a Business Analyst, Data Masking and Compliance to support a critical enterprise audit remediation initiative within a leading financial institution. This newly created role will focus on assessing application compliance against enterprise data masking standards, partnering with stakeholders to drive adoption, and establishing sustainable evidence collection and reporting processes. You will play a key role in bridging business and technology teams, helping application owners understand compliance requirements while ensuring regulatory and audit expectations are met. This is an opportunity to influence enterprise-wide controls, strengthen data governance practices, and contribute to a high-profile risk remediation program. What You’ll Do Assess and prioritize applications requiring review against enterprise data masking standards, identifying compliance gaps and remediation requirements. Partner with application owners and business stakeholders to understand application processes, data flows, and masking requirements. Design and implement evidence collection and validation processes that demonstrate compliance through objective testing rather than attestation alone. Facilitate stakeholder discussions to align business requirements with enterprise standards while supporting adoption of required controls. Create compliance reporting, status tracking, and governance metrics that integrate with broader audit remediation KRIs and KPIs. What We’re Looking For Experience delivering risk, compliance, audit remediation, data governance, or regulatory change initiatives within financial services. Strong stakeholder management and communication skills with the ability to build trust, influence outcomes, and navigate competing priorities. Ability to understand business processes and translate enterprise standards into practical application-level requirements. Experience performing data analysis and interpreting data flows, controls, and compliance requirements. Process design, process engineering, or operational improvement experience with a focus on scalable control frameworks. Bonus Points For Experience with data masking, data protection, privacy controls, or information security programs. Knowledge of banking, payments, and enterprise technology environments. Familiarity with audit remediation programs, regulatory examinations, or control testing frameworks. Experience designing governance reporting, compliance dashboards, and executive-level status reporting. Understanding of risk management frameworks and operational risk practices within large financial institutions. Why Join Capco Work on high-impact regulatory and risk transformation initiatives for leading financial institutions. Partner with senior stakeholders across business, technology, risk, and compliance functions. Join a collaborative, entrepreneurial consulting culture that values innovation and practical problem-solving. Access continuous learning, professional development, and industry-leading expertise. Help shape the future of data governance, compliance, and risk management within the financial services industry. Benefits Comprehensive Benefits Coverage – 100% company-paid health, life, and disability insurance effective from Day 1 of employment. Retirement Savings Program – RRSP with the option of receiving a matching employer contribution. Virtual Health Care and Employee & Family Assistance Program available to employees and their dependents. Enhanced parental leave benefits from Day 1 of employment, plus a company-sponsored new parent gift. Wellness reimbursement and a dedicated Business Coach from Day 1 to support your career growth and development. Why This Role Is Open We are currently hiring for this role due to an existing or newly created vacancy within our organization. This position is open as part of our ongoing business needs, and we are actively reviewing applications to fill this role with a qualified candidate who can make an immediate impact. Inclusion at Capco We’re committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know – we’ll be happy to help. We value each person’s unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration – a mindset that shapes how we work with clients and each other every day. Use of Artificial Intelligence in Talent Acquisition At Capco, we use artificial intelligence (AI) tools to support and enhance several parts of talent acquisition. This includes using AI-enabled features within LinkedIn to help source potential candidates, speeding up routine recruitment communications such as emails and creating compelling and brand-aligned job postings that accurately reflect role requirements, and AI-scheduling applications to improve the efficiency of interview coordination. AI is used as a support tool only. All hiring decisions are made by talent acquisition and hiring teams. Pay Transparency The salary range for this position is listed below. Additionally, this position may also be eligible to receive an annual discretionary/variable bonus payment. Capco is committed to providing fair and equitable compensation to our people. Our compensation policies and salary ranges are designed to allow our people to progress through the salary range as they demonstrate strong performance and develop in their role over time. The base pay offered to selected candidates will be within the salary range and the placement will vary based upon a variety of factors, including, but not limited to job-related knowledge, skills, experience and internal equity. Canada Pay Transparency $118,000—$152,000 CAD", "summaryDescription" : "Business Analyst, Data Masking and Compliance at Capco. Skills: Data masking, Compliance, Risk remediation, Data governance. Assess applications against data masking standards. Identify compliance gaps", "postedDate" : "2026-06-16T01:20:47.212", "createdAt" : "2026-06-16T01:20:47.212", "lastUpdated" : "2026-06-16T12:32:44.174", "ingestTimestamp" : "2026-06-16T01:20:47.212", "mongoId" : "6a3087a4f292fd229c08b1f8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Data masking standards", "Evidence collection", "Compliance reporting", "Governance metrics", "Data masking", "Compliance", "Risk remediation", "Data governance", "Stakeholder management", "Data analysis", "Process design", "Process engineering", "Operational improvement", "Audit remediation", "Banking", "Payments", "Enterprise technology", "Risk management", "Operational risk" ], "skillCount" : 19, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305119f292fd229cef9c97", "title" : "Lead Product Manager, Data and AI", "industry" : "Product", "salary" : { "min" : 85000.0, "max" : 130000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Lead Product Manager, Data and AI in Bulgaria, adjusted for SaaS industry and remote work." }, "location" : "US", "locations" : [ "US" ], "timestamp" : "2026-06-16T13:00:21.262", "fingerprint" : "82fe4f4fdc8ab1372055aa6158ae911736d6dc6afa73b5b74d4c6341bc3b8381", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/f4b9f71e-4327-4077-a695-5a7cf7ad3271/apply", "externalId" : "f4b9f71e-4327-4077-a695-5a7cf7ad3271", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "Machine learning, Generative AI, Large language models, LLMs, Advanced analytics", "professionalSkills" : [ "Product strategy", "Roadmap development", "Product lifecycle management", "Stakeholder management", "Product requirements", "Data-driven decision making" ], "hardSkillsList" : [ "AI development", "Analytics solutions", "Product performance measurement", "Experimentation frameworks" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "AI development", "level" : "intermediate" }, { "name" : "Analytics solutions", "level" : "intermediate" }, { "name" : "Product performance measurement", "level" : "intermediate" }, { "name" : "Experimentation frameworks", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Machine learning, Generative AI, Analytics solutions", "majorSkillsList" : [ "Machine learning", "Generative AI", "Analytics solutions" ], "coreResponsibilities" : "Define product vision and roadmap, Execute product vision and roadmap, Align initiatives with business objectives, Lead development of AI solutions, Lead deployment of AI solutions, Manage product lifecycle, Collaborate with cross-functional stakeholders, Integrate intelligent capabilities into products, Establish frameworks for measuring product performance, Establish frameworks for experimentation, Establish frameworks for business impact, Use data-driven insights for decision-making, Use data-driven insights for optimization, Translate business challenges into product requirements, Act as bridge between technical and non-technical stakeholders, Promote responsible AI development, Partner with governance stakeholders, Partner with privacy stakeholders, Partner with compliance stakeholders, Ensure ethical product outcomes, Ensure secure product outcomes, Ensure reliable product outcomes, Mentor team members, Contribute to product management best practices, Foster culture of innovation, Foster culture of collaboration, Foster culture of continuous improvement", "teamCollaboration" : "Cross-functional stakeholders; Product teams; Engineering teams; Design teams; Operations teams; Business teams; Multidisciplinary teams", "projectManagementSkills" : [ "Roadmap development", "Prioritization", "Execution" ], "domainKnowledge" : "Machine learning concepts; Generative AI technologies; Large language models; LLMs; Advanced analytics; AI infrastructure; Data privacy; Data governance; AI security; Ethical AI principles", "domainList" : [ "machine-learning-concepts", "generative-ai-technologies", "large-language-models", "llms", "advanced-analytics", "ai-infrastructure", "data-privacy", "data-governance", "ai-security", "ethical-ai-principles" ], "domainSpecificKnowledge" : [ "Machine learning concepts", "Generative AI technologies", "Large language models", "LLMs", "Advanced analytics", "AI infrastructure", "Data privacy", "Data governance", "AI security", "Ethical AI principles" ], "communicationSkills" : "Explain technical concepts; Explain trade-offs", "continuousLearning" : "Product management best practices", "innovationCreativity" : "Culture of innovation", "problemSolvingSkills" : "Navigate ambiguity; Prioritize competing objectives; Execute complex initiatives", "qualificationsBasic" : "Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative discipline, 8+ years of product management experience within enterprise SaaS, cloud software, technology, or highly regulated industries, At least 3 years of hands-on experience launching and scaling machine learning, AI, or data-driven products, Deep understanding of machine learning concepts, generative AI technologies, large language models (LLMs), advanced analytics, and the infrastructure required to support AI solutions, Proven ability to develop product strategies, navigate ambiguity, prioritize competing objectives, and successfully execute complex initiatives, Experience working across multidisciplinary teams in fast-paced environments", "qualificationsPreferred" : "Familiarity with regulated industries, Understanding of data privacy, governance, security, and ethical AI principles", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Define and execute a multi-year product vision and roadmap for data and AI platforms, aligning initiatives with business objectives, growth strategies, and operational priorities. Lead the development and deployment of advanced AI, machine learning, generative AI, and analytics solutions, managing the full product lifecycle from ideation and experimentation to scalable production delivery. Collaborate closely with cross-functional stakeholders across product, engineering, design, operations, and business teams to integrate intelligent capabilities into core products and workflows. Establish frameworks for measuring product performance, experimentation, and business impact, using data-driven insights to guide decision-making and optimization efforts. Translate complex business challenges into clear product requirements and act as a bridge between technical specialists and non-technical stakeholders. Promote responsible AI development by partnering with governance, privacy, and compliance stakeholders to ensure ethical, secure, and reliable product outcomes. Mentor team members, contribute to product management best practices, and help foster a culture of innovation, collaboration, and continuous improvement. Requirements Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative discipline. 8+ years of product management experience within enterprise SaaS, cloud software, technology, or highly regulated industries, with a strong track record of delivering large-scale products. At least 3 years of hands-on experience launching and scaling machine learning, AI, or data-driven products. Deep understanding of machine learning concepts, generative AI technologies, large language models (LLMs), advanced analytics, and the infrastructure required to support AI solutions. Proven ability to develop product strategies, navigate ambiguity, prioritize competing objectives, and successfully execute complex initiatives. Strong communication and stakeholder management skills, with the ability to explain technical concepts and trade-offs to executive and non-technical audiences. Experience working across multidisciplinary teams in fast-paced environments and influencing decisions without direct authority. Familiarity with regulated industries and an understanding of data privacy, governance, security, and ethical AI principles is considered a strong advantage. Benefits Annual base salary ranging from $161,000 to $221,500, depending on experience, qualifications, and location. Eligibility for performance-based or discretionary bonus programs. Comprehensive healthcare coverage, including medical, dental, vision, life, and disability insurance options. Flexible spending accounts (FSA) and health savings account (HSA) programs. Access to coaching, therapy, and well-being support services. Equity participation through company stock programs. Generous paid time off, including vacation, sick leave, and company holidays. Paid parental leave. 401(k) retirement plan with company matching contributions. Monthly technology allowance. Additional wellness initiatives, employee events, recognition programs, and community-focused activities. ## 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" : "Lead Product Manager, Data and AI. Skills: Machine learning, Generative AI, Analytics solutions. Define product vision and roadmap. Execute product vision and roadmap", "postedDate" : "2026-06-15T09:26:38.520", "createdAt" : "2026-06-15T09:26:38.520", "lastUpdated" : "2026-06-16T13:00:21.262", "ingestTimestamp" : "2026-06-16T03:24:32.331", "mongoId" : "6a305119f292fd229cef9c97", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "AI development", "Analytics solutions", "Product performance measurement", "Experimentation frameworks", "Leadership", "Mentoring", "Machine learning", "Generative AI", "Product strategy", "Roadmap development", "Product lifecycle management", "Stakeholder management", "Product requirements", "Data-driven decision making", "Prioritization", "Execution", "Machine learning concepts", "Generative AI technologies", "Large language models", "LLMs", "Advanced analytics", "AI infrastructure", "Data privacy", "Data governance", "AI security", "Ethical AI principles" ], "skillCount" : 26, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "6a306647f292fd229cfafc8d", "title" : "Lead Product Manager, Data and AI", "company" : "Lyra Health", "industry" : "Product", "salary" : { "min" : 161000.0, "max" : 221500.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-16T11:46:32.032", "fingerprint" : "7be737cc8ee8a6035793f5d2e69d5f06381cd02b4aff658c15d77ee3e54d1515", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/lyrahealth/e3d731e8-eea0-4ae4-bd9a-5624b91ca129/apply", "externalId" : "e3d731e8-eea0-4ae4-bd9a-5624b91ca129", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "coreResponsibilities" : "Develop product strategy, Define product roadmap, Write user stories, Collaborate with cross-functional teams", "teamCollaboration" : "Cross-functional teams", "remoteFriendly" : true, "rawDescription" : "## Description About Lyra Health Lyra Health is a leading provider of evidence-based mental health care, serving more than 20 million people globally in partnership with employers and more than 100 million through health plan and partner relationships. The company has delivered more than 15 million sessions of mental health care, published more than 35 peer-reviewed studies, and delivered unmatched outcomes in terms of access, clinical effectiveness, and cost efficiency. Extensive peer-reviewed research confirms Lyra’s transformative care model helps people recover twice as fast and results in a 26% annual reduction in overall healthcare claims costs. Lyra is transforming access to life-changing mental health care through Lyra Empower, the only fully integrated, AI-powered platform combining the highest-quality care and technology solutions. ## Responsibilities Product Vision & Strategy: Define and champion a compelling multi-year product vision and roadmap for data and AI platforms, aligning technical milestones with Lyra's business growth, revenue objectives, and clinical goals. GenAI & Modern Lifecycle Management: Drive high-impact opportunities leveraging generative AI, Large Language Models (LLMs), agentic AI, and advanced analytics, managing the entire lifecycle from ideation and rapid experimentation to scalable production deployment. Cross-Functional Leadership: Collaborate extensively across complex matrixed stakeholder groups—including Product, Design, Engineering, Clinical Quality, and GTM teams—to embed smart AI capabilities directly into core member experiences and operations. Responsible AI & Governance: Partner closely with Legal, Privacy, and Clinical leadership to maintain rigorous responsible AI practices Impact Metrics & Optimization: Design robust measurement and experimentation frameworks (such as online controlled A/B testing) to track model effectiveness, quantify business outcomes, and evaluate trade-offs between tactical execution and long-term research. Technical Team Collaboration: Translate unstructured business pain points into crisp, detailed product requirements, acting as a translator between highly technical data disciplines and non-technical business leaders. Mentorship & Culture: Lead by example, mentoring junior team members, sharing technical product management best practices, and actively fostering a highly rigorous, data-driven culture across the product organization. ## Qualifications Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related highly quantitative field. Product Experience: 8+ years (Lead PM) of progressive product management experience within successful enterprise SaaS, cloud-based software, or health tech organizations, with a proven history of launching large-scale products with complex dependencies. Data & AI Expertise: 3+ years of direct experience shipping machine learning and data-driven products at scale. Deep understanding of modern machine learning algorithms, deep learning techniques, generative AI use cases, and the infrastructure needed to deploy LLMs contextually. Communication Skills: Exceptional written and verbal communication, narrative storytelling, and presentation skills; masterful ability to communicate complex algorithmic systems and technical trade-offs to non-technical executive teams and demanding corporate customer audiences. Strategic Execution: Proven capacity to methodically unpack ambiguity, handle competing objectives, establish clear product boundaries, and maintain a calm, execution-oriented mindset in a fast-paced, high-velocity environment. Healthcare Alignment (Nice-to-Have): Prior experience navigating a highly regulated industry (Healthcare Tech, FinTech) with an innate respect for data ethics, privacy constraints, and patient clinical quality. ## Additional Information \"We are an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information or any other category protected by law. By applying for this position, you acknowledge that your personal information will be processed as per the Lyra Health Workforce Privacy Notice. Through this application, to the extent permitted by law, we will collect personal information from you including, but not limited to, your name, email address, gender identity, employment information, and phone number for the purposes of recruiting and assessing suitability, aptitude, skills, qualifications, and interests for employment with Lyra. We may also collect information about your race, ethnicity, and sexual orientation, which is considered sensitive personal information under the California Privacy Rights Act (CPRA) and special category data under the UK and EU GDPR. Providing this information is optional and completely voluntary, and if you provide it you consent to Lyra processing it for the purposes as described at the point of collection, for example for diversity and inclusion initiatives. If you are a California resident and would like to limit how we use this information, please use the Limit the Use of My Sensitive Personal Information form. This information will only be retained for as long as needed to fulfill the purposes for which it was collected, as described above. Please note that Lyra does not “sell” or “share” personal information as defined by the CPRA. Outside of the United States, for example in the EU, Switzerland and the UK, you may have the right to request access to, or a copy of, your personal information, including in a portable format; request that we delete your information from our systems; object to or restrict processing of your information; or correct inaccurate or outdated personal information in our systems. These rights may be subject to legal limitations. To exercise your data privacy rights outside of the United States, please contact globaldpo@lyrahealth.com. For more information about how we use and retain your information, please see our Workforce Privacy Notice.\"", "summaryDescription" : "Lead Product Manager, Data and AI at Lyra Health. Develop product strategy. Define product roadmap", "postedDate" : "2026-06-15T02:55:35.385", "createdAt" : "2026-06-15T02:55:35.385", "lastUpdated" : "2026-06-16T11:46:32.032", "ingestTimestamp" : "2026-06-16T03:24:16.833", "mongoId" : "6a306647f292fd229cfafc8d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 161000, "salaryAnnualMax" : 221500, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c694a74d8ee00a0906c7f", "title" : "Senior Data Scientist - Network Value", "company" : "Plaid", "industry" : "All Departments", "salary" : { "min" : 190800.0, "max" : 262800.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "San Francisco HQ", "locations" : [ "San Francisco HQ", "New York City Office", "Seattle Office" ], "timestamp" : "2026-06-15T07:35:03.365", "fingerprint" : "081f20b6d5016af5a5a8274add33dbc11197fd135e227d046982110c80bcc01b", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/plaid/fe492bdf-699c-4d70-97e3-4fb9d69b1287/application", "externalId" : "fe492bdf-699c-4d70-97e3-4fb9d69b1287", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, SQL, Airflow, Dbt", "professionalSkills" : [ "Analytical thought partner", "Product development", "Data modeling", "Dashboarding", "Experimentation design", "Causal inference modeling" ], "hardSkillsList" : [ "Data analysis", "Statistical modeling", "ML prototyping" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "ML prototyping", "level" : "intermediate" } ], "majorSkills" : "Data Science, Product Analytics, Machine Learning, Causal Inference", "majorSkillsList" : [ "Data Science", "Product Analytics", "Machine Learning", "Causal Inference" ], "coreResponsibilities" : "Champion data-first approach, Be data/analytical thought partner, Translate business questions, Perform ad-hoc analyses, Perform strategic analyses, Build data models, Build dashboards, Create OKRs, Design experiments, Analyze experiments, Build ML prototypes, Build causal inference models", "teamCollaboration" : "Product managers; Engineers; Stakeholders", "domainKnowledge" : "Consumer network; Fintech data", "domainList" : [ "consumer-network", "fintech-data" ], "domainSpecificKnowledge" : [ "Consumer network", "Fintech data" ], "problemSolvingSkills" : "Translate ambiguous questions", "outcomesObjectives" : "Grow size and depth; Support Conversion OKRs; Support Remember Me OKRs", "qualificationsBasic" : "5-8+ years experience, Experimentation experience, Ad-hoc analysis experience, Strategic insights development, SQL skills, Stakeholder alignment metrics, Airflow data pipelines, Dbt data pipelines, Cross-functional partnering, Data-driven user products", "qualificationsPreferred" : "Fintech experience, Raw fintech data experience, Causal inference experience, Machine learning experience, Python experience", "remoteFriendly" : true, "rawDescription" : "We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. The Network Value Data Science team is helping Plaid build an industry-leading fintech consumer network with best-in-class products and user experiences. We are a product analytics team embedded in key product areas across Plaid. We support some of Plaid’s most important OKRs and help execute on product roadmaps. We translate ambiguous product questions into tractable analysis, serve as analytical thought partners throughout the org, identify opportunities to build better products, and champion a data-first decision-making approach everywhere we go. You’ll be a Data Scientist supporting Remember Me. In this role, you’ll become a data and analytical thought partner to product managers and engineers, helping drive data-informed product development for a critical user-facing product. You’ll translate business questions into analytics projects, perform ad-hoc and strategic analysis, improve visibility into core systems through data modeling and dashboarding, create OKRs quantifying progress against business goals, support feature ship decisions through experimentation, and build ML prototypes and causal inference models. Your work will directly support Conversion and Remember Me Enrolled Profile OKRs and help Plaid grow the size and depth of its Consumer Network. RESPONSIBILITIES - Champion a data-first approach toward decision-making across the entire organization - Become the data and analytical thought partner to product managers and engineers - Translate business questions into analytics projects - Perform ad-hoc and strategic analyses to identify opportunities for improved outcomes and support business decisions - Build data models and dashboards to improve visibility into core systems - Create OKRs quantifying progress against business goals - Design and analyze experiments to support feature ship decisions - Build ML prototypes and causal inference models QUALIFICATIONS - 5-8+ years of experience as a Data Scientist or in a related analytics or data-focused role - Experience with experimentation, ad-hoc analysis, and developing strategic insights - Strong SQL skills and experience creating metrics that drive alignment with stakeholders - Experience building data pipelines with Airflow and dbt - Strong communication skills and experience partnering cross-functionally with product managers, engineers, and other stakeholders - Experience driving data-driven performance for user-facing products - Track record of identifying novel ways to impact a top-line OKR and influencing stakeholders on prioritization, roadmapping, and/or execution Nice to have: - Fintech experience and experience working with raw fintech data - Experience with causal inference, machine learning, and Python Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid! Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at accommodations@plaid.com. Please review our Candidate Privacy Notice here https://plaid.com/legal/#candidate-privacy-notice. Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.", "summaryDescription" : "Senior Data Scientist - Network Value at Plaid. Skills: Data Science, Product Analytics, Machine Learning, Causal Inference. Champion data-first approach. Be data/analytical thought partner", "createdAt" : "2026-06-13T22:09:46.381", "lastUpdated" : "2026-06-15T07:35:03.365", "ingestTimestamp" : "2026-06-13T22:09:46.381", "mongoId" : "6a2c694a74d8ee00a0906c7f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 190800, "salaryAnnualMax" : 262800, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Statistical modeling", "ML prototyping", "Data Science", "Product Analytics", "Machine Learning", "Causal Inference", "Analytical thought partner", "Product development", "Data modeling", "Dashboarding", "Experimentation design", "Causal inference modeling", "Consumer network", "Fintech data" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c7ab774d8ee00a0946868", "title" : "Marketing Lead- Capabilities", "company" : "Baringa", "industry" : "Consulting", "salary" : { "min" : 85000.0, "max" : 120000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Marketing role in London, adjusted for the consulting industry and company size." }, "location" : "London", "locations" : [ "London" ], "certifications" : [ "CIM Diploma" ], "timestamp" : "2026-06-15T03:46:26.548", "fingerprint" : "849b06dc81e7d154d231137a5ca129478e86f2aca7200580f894909f4c0c20d7", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/baringa/jobs/4833214101", "externalId" : "4833214101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "professionalSkills" : [ "Brand strategy", "Customer acquisition", "Campaign management", "Growth metrics" ], "hardSkillsList" : [ "Budget management", "Performance monitoring" ], "hardSkills" : [ { "name" : "Budget management", "level" : "intermediate" }, { "name" : "Performance monitoring", "level" : "intermediate" } ], "majorSkills" : "Marketing strategy, Campaign execution, Content integration", "majorSkillsList" : [ "Marketing strategy", "Campaign execution", "Content integration" ], "coreResponsibilities" : "Lead capability marketing plans, Partner with capability leaders, Partner with Sector Marketing BPs, Partner with brand team, Partner with cross-sector team, Support firmwide campaigns, Integrate capability content, Integrate capability messaging, Integrate capability assets, Build understanding of specialisms, Translate specialisms into narratives, Deliver multichannel campaigns, Deliver events, Contribute to content planning, Contribute to thought leadership, Contribute to client storytelling, Manage budget, Monitor campaign performance, Demonstrate commercial impact, Work across C&M function, Ensure alignment, Ensure consistency, Ensure efficient ways of working, Harness CAP BU enthusiasm", "teamCollaboration" : "Capability leaders; Sector Marketing BPs; Brand team; Cross-sector team; C&M function", "domainKnowledge" : "Consulting capabilities", "domainList" : [ "consulting-capabilities" ], "domainSpecificKnowledge" : [ "Consulting capabilities" ], "outcomesObjectives" : "Demonstrate commercial impact", "qualificationsBasic" : "B2B marketing experience, Shape marketing strategies, Deliver multichannel programmes, Relationship-building skills, Stakeholder engagement skills, Degree-level education", "qualificationsPreferred" : "CIM Diploma-qualified", "workSiteFlexibility" : "Hybrid", "rawDescription" : "About Baringa Baringa is a global consulting firm that partners with leaders to drive change and create value. With deep industry expertise, and enabled by advanced technology, the firm helps clients to deliver with greater confidence and certainty. With over 2,000 people across the UK, Europe, North America, Asia and Australia, the firm combines global insight with local understanding. The firm works across energy and resources, financial services, government and public sector, consumer products and retail, pharmaceuticals and life sciences, manufacturing, and technology, media and telecoms, with capabilities spanning strategy, transformation and operational excellence – all powered by advanced technology, data, AI and digital innovation. Clients value Baringa’s collaborative approach and the way its teams integrate seamlessly – all working with a shared understanding of what matters most. The firm is known for its kind, curious experts who listen closely and care deeply about client success as they help clients transform energy markets, modernise financial platforms, expand telecoms and digital networks through advanced data analytics, enable digital services in government, and unlock growth in consumer sectors. Certified as a Great Place to Work around the world, Baringa has been recognised by the Financial Times in 22 categories of its UK Leading Management Consultants rankings, and by Forbes for four consecutive years as one of the World’s Best Management Consulting Firms. Our Clients and Marketing team are looking for an experienced Marketing Lead to join them. Over the past nine months, Clients connecting, commercialising and driving results and engagement to support cross-sell and organic promotion. What you will be doing Leading the planning and execution of capability marketing plans that align with firmwide strategy and support key sector priorities. Partnering closely with capability leaders, Sector Marketing BPs, and the wider brand and cross-sector team to ensure connection in messaging, targeting, and execution. Supporting firmwide campaigns such as Digital & AI, ensuring capability content, messaging, and assets are integrated effectively. Building deep understanding of Baringa’s specialisms and translating them into compelling, differentiated narratives. Delivering multichannel campaigns and events that showcase Baringa and scale across sectors. Contributing to content planning, thought leadership development, and client‑centric storytelling. Budget management and monitoring campaign performance to demonstrate commercial impact. Working across the C&M function to ensure alignment, consistency, and efficient ways of working. Focus on harnessing CAP BU enthusiasm for marketing. Your skills and experience Strong B2B marketing experience, ideally within consulting or capability‑structured organisations. Proven ability to shape marketing strategies and deliver multichannel programmes. Strong relationship‑building and stakeholder engagement skills. Highly self‑sufficient, proactive, and able to work across multiple streams. Degree-level education or equivalent and ideally CIM Diploma‑qualified or equivalent. 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" : "Marketing Lead- Capabilities at Baringa. Skills: Marketing strategy, Campaign execution, Content integration. Lead capability marketing plans. Partner with capability leaders", "postedDate" : "2026-06-13T20:57:24.016", "createdAt" : "2026-06-13T20:57:24.016", "lastUpdated" : "2026-06-15T03:46:26.548", "ingestTimestamp" : "2026-06-13T20:57:24.016", "mongoId" : "6a2c7ab774d8ee00a0946868", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Budget management", "Performance monitoring", "Marketing strategy", "Campaign execution", "Content integration", "Brand strategy", "Customer acquisition", "Campaign management", "Growth metrics", "Consulting capabilities", "CIM Diploma" ], "skillCount" : 11, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c967574d8ee00a098fa07", "title" : "Data Analyst, Value-Based Care Analytics", "company" : "Counterpart Health", "industry" : "Healthcare", "salary" : { "min" : 96000.0, "max" : 125000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Remote - USA", "locations" : [ "Remote - USA" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T01:26:01.010", "fingerprint" : "d341d2b1990bf4e72061c93901aa893f68ab3f3e6434588dd38151101df7c3af", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/counterparthealth/jobs/7985985", "externalId" : "7985985", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL, Python, R, Spark, Snowflake, BigQuery, Redshift, Databricks, Dbt, Fivetran, Airflow, 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" ], "hardSkillsList" : [ "Data analysis", "Data manipulation", "Data visualization", "Statistical modeling", "Machine learning modeling", "ETL processes", "Data warehousing" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data manipulation", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Machine learning modeling", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" } ], "majorSkills" : "Data Analytics, Value-Based Care, SQL, Python", "majorSkillsList" : [ "Data Analytics", "Value-Based Care", "SQL", "Python" ], "coreResponsibilities" : "Develop and maintain data models, Build and optimize ETL/ELT pipelines, Perform complex data analysis, Create insightful data visualizations, Support data-driven decision-making, Collaborate with stakeholders to understand data needs, Ensure data quality and integrity, Develop and implement machine learning models, Monitor and evaluate model performance, Contribute to data strategy and roadmap", "teamCollaboration" : "Cross-functional teams; Stakeholders", "domainKnowledge" : "Value-based care; Healthcare analytics; Healthcare data", "domainList" : [ "value-based-care", "healthcare-analytics", "healthcare-data" ], "domainSpecificKnowledge" : [ "Value-based care", "Healthcare analytics", "Healthcare data" ], "toolProficiency" : [ "SQL", "Python", "R", "Spark", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Fivetran", "Airflow", "AWS", "GCP", "Azure", "SageMaker", "Vertex AI", "Synapse", "ML Studio", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "Tableau", "Power BI", "Looker" ], "documentationSkills" : "Technical documentation", "problemSolvingSkills" : "Data analysis; Troubleshooting", "qualificationsBasic" : "5+ years of experience in data analytics, 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" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Counterpart Health is an AI‑powered physician enablement platform that delivers clinical insights to providers at the point of care. Our flagship product, Counterpart Assistant, is embedded into clinicians’ workflows and integrates with EHR systems, helping care teams drive value-based outcomes, close care gaps, and proactively manage chronic disease. As we expand across Medicare Advantage and other value-based care programs, we need analytical talent that can translate complex clinical and financial data into narratives that drive action, for both our internal teams and our payer and provider customers. You will be part of the analytical engine behind Counterpart Health’s value-based care performance insights. This role sits at the intersection of risk adjustment, quality measurement, utilization management, and cost analytics, and you will be expected to own the metrics that matter most to our payer and provider partners. Beyond the numbers, you are a storyteller: you turn dense claims and clinical data into clear, compelling narratives that help customers understand performance, identify opportunities, and take action. You will work closely with Customer Success, Clinical, and Product teams to ensure our analytics are accurate, trusted, and decision-ready. As a Data Analyst, you will: Build and maintain core Value-Based Care (VBC) performance metrics across risk, quality, utilization, and cost domains, including HCC capture rates, RAF scores, PMPM trends, and inpatient/ED utilization rates. Develop customer-facing analytics, reports, and dashboards that surface actionable performance insights for payer and provider partners in a clear, narrative-driven format. Analyze Medicare Advantage performance data, including risk adjustment, quality bonus payments, and benchmark performance, to identify gaps, trends, and opportunities at the patient, provider, and market level. Translate complex data findings into executive-ready narratives: written summaries, slide-ready visuals, and structured QBR materials that tell a coherent story about performance and next steps. Conduct deep-dive utilization and cost analyses, including high-cost claimant reviews, avoidable utilization patterns, and specialty/pharmacy spend trends, to identify levers for improvement. Partner with Customer Success and Provider Operations teams to prepare and deliver performance reviews (QBRs, monthly reporting packages) that communicate value and surface priority action areas for each customer. Collaborate with Data Engineering to validate claims and clinical data pipelines, flag anomalies, and ensure metric consistency across customer populations. Contribute to the development of scalable analytics infrastructure: reusable SQL libraries, metric definitions, and documentation that enable the team to move faster. You should get in touch if you have: 4+ years of hands-on healthcare data analytics experience, with direct exposure to payer or provider customers in a value-based care context. Deep familiarity with VBC metrics: risk adjustment (HCC coding, RAF scores), utilization (IP admissions, ED visits, readmissions), and cost (PMPM, total cost of care, benchmark vs. actual). Strong SQL skills, able to write complex queries across claims, eligibility, and clinical datasets in cloud-based warehouses (BigQuery, Snowflake, or similar). Exceptional data storytelling ability: you can translate analytical findings into clear narratives and visuals that resonate with both clinical and non-technical audiences. Experience building customer-facing reports and dashboards; comfortable presenting findings to external stakeholders (health plans, provider groups, ACOs). Preferred Qualifications: Medicare Advantage experience, including familiarity with CMS risk adjustment models (CMS-HCC v24/v28), Star Ratings methodology, and MA quality bonus payment structures. Familiarity with clinical terminologies: ICD-10, CPT/HCPCS, NDC, SNOMED, LOINC. Experience using Python or R for data manipulation, cohort analysis, or statistical modeling. Background working with EHR or clinical data alongside claims (e.g., for care gap closure, chronic condition identification, or attribution logic). Prior experience in a health plan, risk-bearing provider group, ACO, or health tech company supporting VBC programs. Benefits Overview: Financial Well-Being: Our commitment to attracting and retaining top talent begins with a competitive base salary and equity opportunities. Additionally, we offer a performance-based bonus program, 401k matching, and regular compensation reviews to recognize and reward exceptional contributions. Physical Well-Being: We prioritize the health and well-being of our employees and their families by providing comprehensive medical, dental, and vision coverage. Your health matters to us, and we invest in ensuring you have access to quality healthcare. Mental Well-Being: We understand the importance of mental health in fostering productivity and maintaining work-life balance. To support this, we offer initiatives such as No-Meeting Fridays, monthly company holidays, access to mental health resources, and a generous flexible time-off policy. Additionally, we embrace a remote-first culture that supports collaboration and flexibility, allowing our team members to thrive from any location. Professional Development: Developing internal talent is a priority for Clover. We offer learning programs, mentorship, professional development funding, and regular performance feedback and reviews. Additional Perks: Employee Stock Purchase Plan (ESPP) offering discounted equity opportunities Reimbursement for office setup expenses Monthly cell phone & internet stipend Remote-first culture, enabling collaboration with global teams Paid parental leave for all new parents And much more! About Counterpart Health: In 2018, Clover Health set out to do something unprecedented: build a clinically intuitive, AI-enabled solution that fits within physicians' workflows to help support the earlier diagnosis and management of chronic conditions. Years later, that vision is a reality, with thousands of practitioners using Counterpart Assistant during patient visits to improve disease management, reduce medical expenses, and drive success in value-based care. With an exceptional team of value-based care and technology experts, Counterpart Health is driving value-based care at the speed of software. Counterpart Health is a subsidiary of Clover Health. From Clover’s inception, Diversity & Inclusion have always been key to our success. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences, perspectives, opinions, and backgrounds, who share a passion for improving people's lives. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of one’s identity. All of our employee’s points of view are key to our success, and inclusion is everyone's responsibility. #LI-REMOTE Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. We are an E-Verify company. Final pay is based on several factors including but not limited to internal equity, market data, and the applicant’s education, work experience, certifications, etc. A reasonable estimate of the base salary range for this role is: $96,000—$125,000 USD", "summaryDescription" : "Data Analyst, Value-Based Care Analytics at Counterpart Health. Skills: Data Analytics, Value-Based Care, SQL, Python. Develop and maintain data models. Build and optimize ETL/ELT pipelines", "postedDate" : "2026-06-14T20:06:25.639", "createdAt" : "2026-06-14T20:06:25.639", "lastUpdated" : "2026-06-16T01:26:01.010", "ingestTimestamp" : "2026-06-14T20:06:25.639", "mongoId" : "6a2c967574d8ee00a098fa07", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 96000, "salaryAnnualMax" : 125000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Data manipulation", "Data visualization", "Statistical modeling", "Machine learning modeling", "ETL processes", "Data warehousing", "Data Analytics", "Value-Based Care", "SQL", "Python", "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Data engineering", "Value-based care", "Healthcare analytics", "Healthcare data", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "R", "Spark", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Fivetran", "Airflow", "AWS", "GCP", "Azure", "SageMaker", "Vertex AI", "Synapse", "ML Studio", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "Tableau", "Power BI", "Looker" ], "skillCount" : 49, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "69fda4e54c40e2acd1b999ed", "title" : "Healthcare and Life Sciences Value and Transformation Lead, HCLS Value & Transformation", "company" : "Amazon Web Services, Inc.", "industry" : "Business Merchant Development, Business/Merchant Development, Cloud Computing", "salary" : { "min" : 70000.0, "max" : 220200.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "San Francisco, California, USA", "locations" : [ "San Francisco, California, USA" ], "timestamp" : "2026-06-15T05:44:40.917", "fingerprint" : "1b90e62183e14d25fc6821bd974daa7728e8ccfdcf27f82da89946e074469de6", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10412856/apply", "externalId" : "67947b07-c5b1-4a54-95de-c11d21dc950a", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "Python, AWS", "professionalSkills" : [ "Strategic planning", "Management consulting", "Executive facilitation", "Human-centered design", "Digital innovation", "Business development", "Sales", "Portfolio management" ], "hardSkillsList" : [ "Value creation", "Transformation strategy", "Customer engagement", "Innovation pipeline management", "Investment proposals", "Market trend analysis", "Strategic roadmap development", "Content creation" ], "hardSkills" : [ { "name" : "Value creation", "level" : "intermediate" }, { "name" : "Transformation strategy", "level" : "intermediate" }, { "name" : "Customer engagement", "level" : "intermediate" }, { "name" : "Innovation pipeline management", "level" : "intermediate" }, { "name" : "Investment proposals", "level" : "intermediate" }, { "name" : "Market trend analysis", "level" : "intermediate" }, { "name" : "Strategic roadmap development", "level" : "intermediate" }, { "name" : "Content creation", "level" : "intermediate" } ], "majorSkills" : "Value and Transformation, Customer C-suite engagement", "majorSkillsList" : [ "Value and Transformation", "Customer C-suite engagement" ], "coreResponsibilities" : "Serve as a force multiplier, Deliver results and velocity to value for customers, Build repeatable mechanisms/frameworks, Serve as a trusted strategic advisor, Engage select customer C-suite leaders, Reimagine how AWS/Amazon can accelerate customer missions, Ideate, co-design, prioritize, and deliver innovation pipeline, Manage collaborative creation of internal/external documents, Present opportunities and investment proposals, Lead cross-cutting engagements, Activate multiple customers, Raise brand awareness, Capture voice of customers, Inform new solutions and refinements, Serve as forums for customers to connect, Lead multidisciplinary teams, Produce and facilitate engagements, Develop and facilitate execution of multi-year strategies, Deliver on strategic WWPS HCLS priorities, Create shared baseline understanding, Synthesize voice of customers, Articulate aligned vision, mission, and decision-making, Chart a shared roadmap, Prioritize mechanisms and investments, Create content to help customers understand value, Build customer references and use cases", "teamCollaboration" : "Sales; Executive Advisors; Industry Business Development; Customer C-suite; Partners; Leadership teams; Marketing; Multidisciplinary teams; Internal AWS/Amazon teams", "projectManagementSkills" : [ "Strategic planning", "Portfolio management" ], "domainKnowledge" : "Healthcare; Life Sciences; Cloud maturity; Cloud-native architecture", "domainList" : [ "healthcare", "life-sciences", "cloud-maturity", "cloud-native-architecture" ], "domainSpecificKnowledge" : [ "Healthcare", "Life Sciences", "Cloud maturity", "Cloud-native architecture" ], "toolProficiency" : [ "Analytical tools" ], "communicationSkills" : "Executive presentations; Thought leadership; White papers; Case studies; Use cases", "continuousLearning" : "Annual and ongoing learning experiences; Mentorship programme", "problemSolvingSkills" : "Data interpretation; Business recommendations", "qualificationsBasic" : "5+ years Python, 5+ years experience interpreting data, Experience identifying, negotiating, and executing complex legal agreements, Experience designing, implementing, and scaling workforce development programs, Experience interpreting data and making business recommendations, Experience using analytical tools for workforce metrics and reporting", "qualificationsPreferred" : "Proven track record of building and managing a large pipeline of opportunities", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "As a Healthcare & Life Sciences (HCLS) Value and Transformation Lead for Amazon Web Services (AWS), you will have the exciting opportunity to serve as a force multiplier for both AWS Worldwide Public Sector (WWPS) Healthcare & Life Sciences business (internal) and mission-driven customers served (external). You will learn, contribute, and grow by serving as a: frontline partner in delivering results and velocity to value for customers at varying levels of cloud maturity, builder of repeatable mechanisms/frameworks that enable impact at scale, and trusted strategic advisor to inform prioritization and focus decisions for the business. You will have the opportunity to align your expertise and experience across three core functional areas: First, the Customer Transformation function works hand-in-hand with Sales, Executive Advisors, and Industry Business Development to engage select customer’ C-suite leaders with tailored offerings. These engagements range from foundational visioning and executive activation to comprehensive strategic collaboration engagements. You will be responsible for working alongside customer C-suite, executives and partners, to reimagine how AWS/Amazon can accelerate and support our customers in achieving their missions and visions. More specifically, you will work with customers to ideate, co-design, prioritize, and deliver on a diversified innovation pipeline. You will manage collaborative creation of internal/external documents to present opportunities and investment proposals to leadership teams and other stakeholders. Next, the Strategic Engagement function collaborates with Sales, Executive Advisors, and Marketing to lead cross-cutting engagements that concurrently activate multiple customers. These 1-few and 1-many customer engagements raise brand awareness, capture the voice of our customers, inform new solutions and refinements to existing AWS offerings, and serve as forums for customers to connect and collaborate on best practices. You will be responsible for leading multidisciplinary teams—including leadership, subject matter experts, marketing and partners—in the end-to-end production and facilitation of these engagements. Finally, the Strategy function is responsible for developing and facilitating execution of multi-year strategies and initiatives that are informed by market trends and analysis, delivering on strategic WWPS HCLS priorities, and allowing the Sales and Industry Business Development functions to look around corners on behalf of our customers. You will be responsible for collaborating with leadership and multidisciplinary teams to: create shared baseline understanding including the synthesis of voice of customers, emerging trends, and industry and competitor landscape; articulate aligned vision, mission, and decision-making tenets; chart a shared roadmap alongside strategic growth levers; and prioritize mechanisms and investments required to translate strategy into action. Moreover, you will create content to help customers better understand the value of AWS/Amazon offerings, including: thought leadership, white papers, case studies, use cases, pilots, proofs of concept, and demonstrations. The ideal candidate will have a combination of vertical HCLS industry experience and cross-cutting skills, including: strategic planning, management consulting, executive facilitation, human-centered design, digital innovation, business development, sales, and/or portfolio management. They will be willing and able to execute on strategic plans and drive actions to a successful completion. This person will leverage their deep industry background to engage and communicate effectively on a wide range of business and technical discussions with customers, partners, and internal AWS/Amazon teams. Successful candidates will identify cross-cutting opportunities that can serve multiple customers and build customer references and use cases to support future engagements. Having a proven and successful track record of building and managing a large pipeline of opportunities is a plus. Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and we host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. We value work-life harmony. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future. About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance 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. Basic Qualifications: - Bachelor's degree - Experience developing strategies that influence leadership decisions at the organizational level - Experience managing programs across cross functional teams, building processes and coordinating release schedules - Experience selling enterprise software or cloud-based applications - Experience in written and verbal communication with the ability to present complex technical information in a clear and concise manner to executives and non-technical leaders - Experience conveying complex technical concepts to both technical and business audiences - Experience in ownership of projects and communicating timelines and executing independently Preferred Qualifications: - Master's degree in business, data science, public administration, finance, engineering, human resources, or related field, or PMP certificate - Experience interpreting data and making business recommendations - Experience identifying, negotiating, and executing complex legal agreements - Experience designing, implementing, and scaling workforce development programs across large-scale operations, including forecasting workforce needs and leveraging analytics to drive program decisions - Experience interpreting data and making business recommendations across leadership and cross-functional teams - Experience using analytical tools for workforce metrics and reporting Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, San Francisco - 162,700.00 - 220,200.00 USD annually", "summaryDescription" : "Healthcare and Life Sciences Value and Transformation Lead, HCLS Value & Transformation at Amazon Web Services, Inc.. Skills: Value and Transformation, Customer C-suite engagement. Serve as a force multiplier. Deliver results and velocity to value for customers", "postedDate" : "2026-06-13T10:54:24.985", "createdAt" : "2026-06-13T10:54:24.985", "lastUpdated" : "2026-06-15T05:44:40.917", "ingestTimestamp" : "2026-06-13T10:54:24.985", "mongoId" : "69fda4e54c40e2acd1b999ed", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10412856/apply", "salaryAnnualMin" : 70000, "salaryAnnualMax" : 220200, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Value creation", "Transformation strategy", "Customer engagement", "Innovation pipeline management", "Investment proposals", "Market trend analysis", "Strategic roadmap development", "Content creation", "Value and Transformation", "Customer C-suite engagement", "Strategic planning", "Management consulting", "Executive facilitation", "Human-centered design", "Digital innovation", "Business development", "Sales", "Portfolio management", "Healthcare", "Life Sciences", "Cloud 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Accelerate platform adoption, Blend process expertise, Blend industry expertise, Blend consulting skill set, Identify high-impact Celonis use cases, Build demos for new customers, Build business cases for new customers, Undertake Value Assessments, Undertake Proof-of-Value Projects, Communicate value opportunity to C-Level, Communicate strategic roadmap to C-Level, Facilitate business value workshops, Identify opportunities for process enhancement, Qualify opportunities for process enhancement, Derive improvement measures, Initiate improvement actions, Initiate enterprise-wide change initiatives, Present results to senior management, Present realized value to senior management, Present results to C-level executives, Present realized value to C-level executives, Manage end-to-end customer value journey, Manage customer landing, Manage customer expansion, Manage customer adoption, Manage customer renewal, Build strategic expansion roadmap, Embed Celonis as strategic platform, Drive adoption and expansion, Provide feedback to product development, Enhance Celonis platform based on use cases", "teamCollaboration" : "Partner with Celonis Sales Teams; Collaborate with partners; Collaborate with Celonis Services; Collaborate with IT teams; Collaborate with product development teams", "projectManagementSkills" : [ "Project management", "Manage project scopes", "Manage project expectations", "Manage project timelines", "Manage multiple projects" ], "domainKnowledge" : "Process Intelligence; Process Mining; Manufacturing; Production; Business Software; SaaS applications; SAP; RPA; BI Tools; Dashboards; Apps; Action Flows; Business process improvement", "domainList" : [ "process-intelligence", "process-mining", "manufacturing", "production", "business-software", "saas-applications", "sap", "rpa", "bi-tools", "dashboards", "apps", "action-flows", "business-process-improvement" ], "domainSpecificKnowledge" : [ "Process Intelligence", "Process Mining", "Manufacturing", 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Consulting, Experience in Sales Engineering, Experience in IT/Management Consulting, Experience with Business Software / SaaS, Experience with RPA, Experience with BI Tools, Experience building Dashboards, Experience building Apps, Experience building Action Flows, Knowledge of Python, Knowledge of SQL, Experience collaborating with IT teams, Experience identifying use cases for business process improvement, Experience deploying improvement measures, Experience as a change agent, Experience training users/process owners, Experience planning project scopes, Experience managing project scopes, Experience managing project expectations, Experience managing project timelines, Experience preparing roadmaps for stakeholders, Experience communicating roadmaps to stakeholders, Experience preparing results for stakeholders, Experience communicating results to stakeholders", "qualificationsPreferred" : "Customer-facing role in Consultancy, Inhouse role in Center of Excellence, Experience with SAP, Experience with implementing RPA, Experience with BI Tools, Experience building Dashboards, Experience building Apps, Experience building Action Flows, Experience with Python, Experience with SQL, Experience in collaborating with IT teams, Experience in identifying use cases for business process improvement, Experience in deploying improvement measures, Experience being a change agent, Experience training users/process owners, Experience in planning and managing project scopes, Experience managing multiple projects, Leverage partners from Celonis Ecosystem", "workSiteFlexibility" : "Flexible", "rawDescription" : "Celonis is the global leader in Process Intelligence and the pioneer of Process Mining technology. As one of the world’s fastest-growing enterprise SaaS companies, we are changemakers pushing the boundaries of what’s possible. We invest heavily in advanced AI capabilities—specifically our Process Intelligence Graph—to turn data insights into immediate business action. We believe there is a massive opportunity to unlock global productivity and sustainability by placing intelligence at the core of every business process. Join our mission to make processes work for people, companies, and the planet. The position of the Principal Value Engineeris a trusted advisor helping customers achieve their strategic goals and realise significant value using the Celonis Process Intelligence Platform. A Value Engineer has full responsibility for the end-to-end value journey of our customers – landing, expanding, adopting and renewing. Responsibilities include translating customers’ objectives into value assessments or proof-of-value projects, building specific Celonis business cases and demos, running value workshops, and engaging with multiple senior stakeholders to deliver value driven results and secure long term partnership agreements. The Role: You are spearheading our mission of data-driven business transformation with our customers. You will work in partnership with the Celonis Sales Teams and have full responsibility for the end-to-end value journey of our customers. You are our customers' trusted advisor and help them achieve their strategic goals and realize significant value using Celonis Process Intelligence Platform. In collaboration with our partners and Celonis Services, you will drive measurable business impact across various processes and industries and accelerate the adoption of our platform. You will blend deep process and industry expertise with a proven consulting skill set with strong analytical skills at the forefront of one of the fastest-growing tech companies worldwide. Native-level German proficiency is required for this role. Candidates must be able to lead customer workshops, conduct executive presentations, and manage stakeholder interactions in German.The work you’ll do: Identify & Frame Value Discover and translate customers’ strategic priorities into high-impact Celonis use cases Build demos and business cases, leveraging industry benchmarks and best practices in order to win new customers Undertake Value Assessments or Proof-of-Value Projects and communicate the value opportunity and strategic roadmap to C-Level executive Realize Value Facilitate business value workshops and use Celonis to identify and qualify opportunities for process enhancement Derive improvement measures in core business functions and initiate improvement actions and enterprise-wide change initiatives Present results and realized value to senior management and C-level executives Scale Value Responsible for the end-to-end customer value journey, landing, expanding, adoption and renewing Build a strategic expansion roadmap for customers embedding Celonis Process Intelligence as a strategic business transformation platform in their organization and therefore drive adoption and expansion Provide feedback to our product development teams to enhance the Celonis platform and Apps based on new use cases The qualifications you need: Live for Customer Value: Experience in an analytical role with the objective to demonstrate or secure value through business data analysis, business process improvement and respective Software deployment. Ideally in a customer-facing role in Solution Consulting, Sales Engineering or IT/Management Consulting with a Business Software / SaaS Provider or a Consultancy. Alternatively in an Inhouse role (e. g. Center of Excellence for Data Mining / Analytics / Intelligence) within an Enterprise. Data, Analytics, Applications & IT: Good knowledge of Business Software / SaaS applications (e. g. SAP), experience with implementing RPA and/or BI Tools and/or building Dashboards, Apps and Action Flows. Knowledge of Python and/or SQL. Experience in collaborating with IT teams. Process Improvement & Value Realization: Experience in identifying use cases for business process improvement and deploying improvement measures, being a change agent and training users/process owners to realize value Project Management: Experience in planning and managing project scopes, expectations and timelines. You will manage multiple projects across your aligned accounts that will be at different parts of the value journey. Also, you will leverage partners from the Celonis Ecosystem wherever possible. Executive Stakeholder Management: Experience in preparing and communicating (value) roadmaps and results to stakeholders and management, both internally and externally. Excellent communication and presentation skills. Business Domain Expertise: Understanding of the Finance and/or Supply Chain domain as well as strategic transformation initiatives (e. g. Shared Services Transformation or System Transformation) Industry Expertise: Ideally expertise in one or more industries (e. g. Manufacturing, Automotive, Consumer, Retail, Pharmaceuticals, Chemicals) and the ability to develop a deep understanding of industry trends and strategic opportunities Degree: In Technology & Management, Industrial/Business Engineering, Business Informatics, Computer Science, Mathematics, Economics or a comparable degree program Native-level or near-native German language skills (written and spoken), with the ability to confidently engage German-speaking customers, facilitate workshops, and present to executive stakeholders. What Celonis can offer you: Pioneer Innovation: Work with the global leader in Process Mining and the Process Intelligence Graph to shape the future of AI-driven business operations. Ownership from Day 1: Every full-time \"Celonaut\" is an owner, receiving Restricted Stock Units (RSUs) and merit-based refresh grants. Unrivaled Family Support: Benefit from our inclusive parental leave policy—24 weeks of fully paid leave for primary carers and 12 weeks for supporting carers, available from your first day of employment. Work-Life Integration: Enjoy Unlimited PTO (in applicable regions) and generous PTO globally, as well as a flexible hybrid work model that balances remote focus with vibrant office collaboration. Continuous Growth: Elevate your skills through our 70-20-10 learning framework, mentorship programs, and access to a dedicated learning platform. Holistic Well-being: Prioritize your health with subsidized Wellhub memberships, mental health counseling, and dedicated \"Wellness Weeks\" that prioritize work/life balance. Drive Sustainability: Participate in annual Impact Days, where you receive paid time off to volunteer for community and environmental causes with your local office, or virtually. Global Inclusion & Belonging: Find community through our Inclusion Think Tank and participate in our annual Inclusion Days, ensuring every voice is heard and valued. Value-Driven Impact: Join a mission-led organization where our core values—Live for Customer Value, The Best Team Wins, We Own It, and Earth Is Our Future—drive every decision. About Us: Celonis makes processes work — for people, companies, and the planet. Powered by process mining and AI, the Celonis Process Intelligence Platform integrates process data and business context to create a living digital twin of business operations. We enable thousands of companies worldwide to understand how their business actually runs and, together with their partners, build intelligent solutions that transform and continuously improve the way they operate — unlocking billions in value. Celonis is headquartered in Munich, Germany, and New York City, USA, with more than 20 offices worldwide. Get familiar with the Celonis Process Intelligence Platform by watching this video. Celonis Inclusion Statement: At Celonis, we believe our people make us who we are and that “The Best Team Wins”. We know that the best teams are made up of people who bring different perspectives to the table. And when everyone feels included, able to speak up and knows their voice is heard - that's when creativity and innovation happen. Your Privacy: Any information you submit to Celonis as part of your application will be processed in accordance with Celonis’ Accessibility and Candidate Notices By submitting this application, you confirm that you agree to the storing and processing of your personal data by Celonis as described in our Privacy Notice for the Application and Hiring Process. Please be aware of common job offer scams, impersonators and frauds. Learn more here.", "summaryDescription" : "Principal Value Engineer at Celonis. Skills: Process Intelligence, Value Engineering, Business Process Improvement, Stakeholder Management. Advise customers on strategic goals. Realize value using Celonis Platform", "postedDate" : "2026-06-15T23:27:56.491", "createdAt" : "2026-06-15T23:27:56.491", "lastUpdated" : "2026-06-16T09:33:29.874", "ingestTimestamp" : "2026-06-15T23:27:56.491", "mongoId" : "6a305ae9f292fd229cf571f2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Business process analysis", "Software deployment", "Project planning", "Project management", "Stakeholder communication", "Process Intelligence", "Value Engineering", "Business Process Improvement", "Stakeholder Management", "Process Mining", "Business transformation", "Business cases", "Value assessments", "Proof-of-value projects", "Value workshops", "Business process improvement", "Enterprise-wide change", "Strategic roadmap", "Stakeholder management", "Manage project scopes", "Manage project expectations", "Manage project timelines", "Manage multiple projects", "Manufacturing", 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Disease Strategies, Ensure deep understanding of patient experience data, Identify how patient data drives pipeline value, Understand patient care pathways, Understand integrated patient journeys, Establish systematic patient informed evidence generation, Link evidence generation to clinical trials, Integrate TVP/TPP/TPL into PDS, Integrate iEGPs into PDS, Analyze/translate elements into PDS, Integrate PDS into key actions, Integrate PDS into key implications, Identify external engagement activities, Develop new external engagement activities, Represent shared value creation, Build internal collaborations, Integrate PDS into global strategies, Integrate PDS into local strategies, Support differentiation, Support acceleration, Support access, Support awareness, Lead external partnerships initiatives, Increase scientific innovation, Improve R&D decision making, Lead innovative value development, Assess digital capacities, Assess real world data, Understand real world patients experiences, Contribute to regulatory submission dossiers, Contribute to payer submission dossiers", "teamCollaboration" : "Global Project Team; Cross-functional development; Cross-functional regulatory; Cross-functional market access; Cross-functional medical; Cross-functional commercial; Cross-functional public affairs; Patient Advocacy Groups; Patient community representatives", "projectManagementSkills" : [ "Roadmap planning", "Strategic planning" ], "domainKnowledge" : "Drug Development; Patient Experience; Clinical Trials; Regulatory Affairs; Market Access; Healthcare Payer; Standards of Care; Real World Data; Health Technology Assessment", "domainList" : [ "drug-development", "patient-experience", "clinical-trials", "regulatory-affairs", "market-access", "healthcare-payer", "standards-of-care", "real-world-data", "health-technology-assessment" ], "domainSpecificKnowledge" : [ "Drug Development", "Patient Experience", "Clinical Trials", "Regulatory Affairs", "Market Access", "Healthcare Payer", "Standards of Care", "Real World Data", "Health Technology Assessment" ], "toolProficiency" : [ "Digital Tools", "Large Language Models", "Social Media Listening" ], "communicationSkills" : "Executive presentations; Regulatory discussions; Payer discussions", "documentationSkills" : "Regulatory dossiers; Clinical documentation; Target product label", "continuousLearning" : "Learning and development opportunities", "innovationCreativity" : "Scientific innovation; Innovative value development; Innovative Patient Disease Strategies", "problemSolvingSkills" : "Root cause analysis; Data-driven decision making", "outcomesObjectives" : "Maximize opportunities; Maximize pipeline value recognition; Accelerate time to market; Build meaningful awareness; Build access enablers; Refine scientific innovation; Align scientific priorities; Address unmet needs; Drive meaningful differentiation; Accelerate development; Improve R&D decision making", "qualificationsBasic" : "Minimum Bachelor in Science or health related field, Minimum 10 years drug development experience, Experience spanning preclinical to registration, Minimum 10 years of drug development experience", "qualificationsPreferred" : "Experience in Real World investigations, Knowledge of patient preference research, Familiar with Digital Tools, Familiar with Large Language Models, Familiar with Social Media Listening, Understanding of payers’ environment, Understanding of evolving external patient landscape, Understanding of evolving regulatory landscape, Understanding of evolving payer landscape, Understanding of early clinical development evidentiary needs", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "_**Job title:**_ Health Value Translation Lead * **Location:** Gentilly, France # ** _About the Job_** Are you ready to shape the future of medicine? The race is on to speed up drug discovery and development to find answers for patients and caregivers. Your skills could be critical in helping our teams accelerate progress. Within Sanofi R&D, **The Health Value Translation (HVT) Lea** d sits in the Patient Driven Medicines Development department. HVT lead is responsible to represent, holistically, the department at the Global Project Team and is accountable for the disease related, patient integrated disease strategy (PDS) within and across assets addressing their assigned indications. The position ensures the PDS is fully integrated cross functionally at the global team, and facilitating the strategy to the local levels via the patient engagement lead team members, to maximize the opportunities and pipeline value recognition. Establishing strategic, mutually beneficial collaborations with Patient Advocacy, and other relevant patient organizations, is essential to ensure end to end R&D programs fully reflect patient relevant differentiation by addressing key data generation needs, are poised to accelerate time to market and build meaningful awareness and access enablers. Co-creation and co-identification, with patient community representatives and cross functional team members, of patient relevant value are at the core of the PDS. Initiating the PDS during the pre-clinical stages enables Discovery Research teams to refine scientific innovation that aligns with the greatest unmet needs facing patient and healthcare communities. Aligning scientific priorities supports internal pipeline and portfolio decision making and establishes target product profiles, target value propositions and early target product label strategies to address the greatest areas of unmet need. In an end-to-end approach, comprehensive and novel value creation recognized by patient, healthcare, payer and societal stakeholders, along with deep understanding of benefit-risk and positioning against existing and emerging standards of care, is expected to drive meaningful differentiation, development acceleration as well as awareness and access to clinical trials, and future medical products. As the department’s primary point of contact for the respective indications and programs, the HVT lead is accountable to ensure the PDS is integrated into the near-, mid- and long-term strategic plans of cross-functional team members. The HVT lead is also accountable to ensure the relevant team members from across PID&HVT are also integrated into various sub-teams and cross functional meetings. Additionally, integration of the local priorities from key markets (eg, HTA value drivers, alignment with standards of care) is a key responsibility of the HVT lead. # _**About Sanofi**_ We’re an R&D-driven, AI-powered biopharma company committed to improving people’s lives and delivering compelling growth. Our deep understanding of the immune system – and innovative pipeline – enables us to invent medicines and vaccines that treat and protect millions of people around the world. Together, we chase the miracles of science to improve people’s lives. **Main Responsibilities:** * Represent PID&HVT at the global project team ensuring that the relevant team members are effectively integrated across milestones, decision making forums and sub-teams * Develop and implement innovative Patient Disease Strategies starting in research that are carried across all development stages. This includes ensuring a deep understanding of patient experience data and where it drives value to the pipeline (eg, regulatory dossiers and discussions), patient care pathways/integrated patient journeys to identify how patients are diagnosed, treated and are best supported on treatments, establishing systematic patient informed evidence generation that is linked to the clinical trials, TVP/TPP/TPL and iEGPs. These elements, among others, are then meaningfully analyzed/translated and systematically integrated into key actions and implications within the PDS * Identify and integrate existing, or develop new, external engagement activities with relevant Patient Advocacy Groups in key countries in a manner that represents shared value creation * Build internal collaborations with cross functional development, regulatory, market access, medical, commercial, public affairs functions to fully integrate the PDS into global and local strategies that support differentiation, acceleration, access and awareness * Lead external partnerships initiatives that increase scientific innovation and improve R&D decision making * Lead innovative value development through systematic assessment of digital capacities and real world data to understand real world patients experiences * Contribute to the regulatory and payer submission dossiers**** # _**What we offer you**_ A fixed salary over 12 months, supplemented by a short-term incentive as well as a collective variable compensation based on Sanofi Group results. Because taking care of our employees is also our mission: • **Benefits & Well-being:** Quality health insurance, extended maternity/parental leave (18/14 weeks), enhanced support in case of illness, teleconsultation and second medical opinion covered by Sanofi, as well as many other wellness programs to discover here. • **Work-Life Balance:** 31 days of paid leave + RTT depending on your status, remote work up to 2 days/week • **Transportation:** Public transport coverage up to 80% • **Savings & Retirement:** Group Savings Plan and PERCOL with employer matching, and PERO • **Professional Development:** Internal and international mobility opportunities, learning & development opportunities • **And more:** platforms dedicated to peer-to-peer recognition & service exchanges between Sanofi employees (carpooling, home exchanges, etc.), numerous CSE benefits... # _**About You**_ **Key skills and competencies:** * Ability to focus on impact and conceptualize bold innovative opportunities that drive value creation for the pipeline and patient communities * Excellent communication that has demonstrated effective collaborations with internal and external partners * Cross functional leadership skills, both strategic and hands on (implementation) * Analytics and problem-solving skills “think strategically” * Innovative/out-of-the-box thinker, able to simplify complex problems and lead trade off discussions * Team player, open, honest * Experienced in clinical development with a minimum of 5 years of experience in Pharma * Basic experience in Real World investigations, knowledge of patient preference research * Familiar with the Digital Tools, Large Language Models, Social Media Listening, etc * Understanding of payers’ environment in key markets * Understanding of evolving external patient, regulatory and payer landscape and its implications starting in the early clinical development evidentiary needs **Education:** * Minimum Bachelor in Science or health related field (eg, public health) with minimum 10 years of drug development experience spanning preclinical to registration # **_Why choose us?_** * Bring the miracles of science to life alongside a supportive, future-focused team * Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally * Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact * Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention, and wellness programs and at least 14 weeks’ gender-neutral parental leave. **Pursue** _Progress_. **Discover** _Extraordinary_. Join Sanofi and step into a new era of science - where your growth can be just as transformative as the work we do. We invest in you to reach further, think faster, and do what's never-been-done-before. You'll help push boundaries, challenge convention, and build smarter solutions that reach the communities we serve. Ready to chase the miracles of science and improve people's lives? Let’s Pursue Progress and Discover Extraordinary – together. At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, protected veteran status or other characteristics protected by law. #LI-FRA #LI-Hybrid #LI-DNI # Pursue _progress_ , discover _extraordinary_ Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people. At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity. Watch our [ALL IN video](https://www.youtube.com/watch?v=SkpDBZ-CJKw&t=67s) and check out our Diversity Equity and Inclusion actions at [sanofi.com](https://www.sanofi.com/en/our-responsibility/equality-and-inclusiveness)! The salary range for this position is :€89 200,00 - €118 933 Final compensation will be determined based on demonstrated experience, skills, location, and other relevant factors. Employees may be eligible to participate in Company employee benefit programs.", "summaryDescription" : "Health Value Translation Lead at Sanofi. Skills: Health Value Translation, Patient Disease Strategy, Cross-functional Integration, External Partnerships. Represent PID&HVT at global project team. Integrate team members across milestones", "postedDate" : "2026-06-12T05:05:23.490", "createdAt" : "2026-06-12T05:05:23.469", "lastUpdated" : "2026-06-14T23:34:00.190", "ingestTimestamp" : "2026-06-12T05:05:23.469", "mongoId" : "6a2b2def74d8ee00a07845eb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://sanofi.wd3.myworkdayjobs.com/SanofiCareers/job/Gentilly/Health-Value-Translation-Lead_R2830848-1", "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Value Recognition", "Benefit-Risk Assessment", "Standards of Care", "Patient Experience Data", "Evidence Generation", "External Engagement", "Internal Collaboration", "Global Strategies", "Local Strategies", "Scientific Innovation", "R&D Decision Making", "Value Development", "Digital Capacities", "Real World Data", "Regulatory Submission", "Payer Submission", "Leadership", "Health Value Translation", "Patient Disease Strategy", "Cross-functional Integration", "External Partnerships", "Disease Strategy", "Value Creation", "Product Development", "Market Access", "Regulatory Affairs", "Clinical Trials", "Drug Discovery", "Pipeline Value", "Target Product Profile", "Target Value Proposition", "Target Product Label", "Real World Investigations", "Patient Preference Research", "Regulatory Dossiers", "Patient Journeys", "Roadmap planning", "Strategic planning", "Drug Development", "Patient Experience", "Healthcare Payer", "Health Technology Assessment", "Digital Tools", "Large Language Models", "Social Media Listening" ], "skillCount" : 45, "jobCategory" : "healthcare", "seniorityLevel" : "mid", "dataQualityScore" : 1.0, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare" }, { "id" : "6a3063d6f292fd229cf9ef61", "title" : "Value Chain Analyst", "company" : "Pivotage Consulting", "industry" : "Banking", "salary" : { "min" : 199000.0, "currency" : "NGN", "frequency" : "yearly", "is_estimated" : false }, "location" : "Lagos, LA, NG", "locations" : [ "Lagos", "LA", "NG" ], "timestamp" : "2026-06-16T07:38:07.319", "fingerprint" : "174bce7c974d15accf071b903927893e10d71ebb96f1311ca2f89d35b620c0cd", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/PivotageConsulting/744000132238659-value-chain-analyst-ijeshatedo-ojuelegba-eric-moore-", "externalId" : "744000132238659", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Lagos", "state" : "Lagos", "country" : "Nigeria", "continent" : "af", "source" : "llm", "workMode" : "onsite", "geo" : "6.4550575,3.3941795" } ], "locationText" : "Lagos, Lagos, Nigeria", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "professionalSkills" : [ "Value chain development", "Market systems" ], "hardSkillsList" : [ "Data analysis", "Report preparation" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Report preparation", "level" : "intermediate" } ], "majorSkills" : "Value chain coordination, Stakeholder engagement, Market assessment", "majorSkillsList" : [ "Value chain coordination", "Stakeholder engagement", "Market assessment" ], "coreResponsibilities" : "Support value chain development initiatives, Support project implementation, Build relationships with value chain actors, Maintain relationships with partners, Conduct market assessments, Identify business opportunities, Facilitate linkages between producers, Facilitate linkages between suppliers, Facilitate linkages between processors, Facilitate linkages between buyers, Monitor value chain activities, Prepare progress reports, Provide technical support, Provide capacity-building to stakeholders, Collect data on value chain performance, Analyze data on value chain performance, Report data on value chain performance", "teamCollaboration" : "Engage with producers; Engage with processors; Engage with buyers; Engage with other actors", "domainKnowledge" : "Value chain development; Agribusiness; Market systems", "domainList" : [ "value-chain-development", "agribusiness", "market-systems" ], "domainSpecificKnowledge" : [ "Value chain development", "Agribusiness", "Market systems" ], "toolProficiency" : [ "Microsoft Office" ], "documentationSkills" : "Progress reports", "problemSolvingSkills" : "Address challenges", "outcomesObjectives" : "Improve productivity; Improve market access; Improve profitability for stakeholders; Enhance value chain performance", "qualificationsBasic" : "Bachelor's degree or HND, Relevant experience in value chain development, Agribusiness or market systems experience, Must not be older than 29 years old, Communication skills, Analytical skills, Stakeholder engagement skills, Proficiency in Microsoft Office applications", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Pivotage Consulting is a HR consulting firm. Our services includes recruitment, training and development, background checks, manpower outsourcing and HR Advisory The Value Chain Officer is responsible for supporting the development, coordination, and strengthening of value chain activities to improve productivity, market access, and profitability for stakeholders. The role involves engaging with producers, processors, buyers, and other actors to identify opportunities, address challenges, and enhance value chain performance. Key Responsibilities: * Support the implementation of value chain development initiatives and projects. * Build and maintain relationships with value chain actors and partners. * Conduct market assessments and identify business opportunities. * Facilitate linkages between producers, suppliers, processors, and buyers. * Monitor value chain activities and prepare progress reports. * Provide technical support and capacity-building to stakeholders. * Collect, analyze, and report data on value chain performance. ## Qualifications Requirement: * Bachelor's degree or HND in any discipline (minimum of 2:2 or lower credit) * Relevant experience in value chain development, agribusiness, or market systems. * Must not be older than 29 years old * Strong communication, analytical, and stakeholder engagement skills. * Proficiency in Microsoft Office applications. ## Additional Information Remuneration: 199,000 (net) + HMO, Pension and 13th month salary", "summaryDescription" : "Value Chain Analyst at Pivotage Consulting. Skills: Value chain coordination, Stakeholder engagement, Market assessment. Support value chain development initiatives. Support project implementation", "postedDate" : "2026-06-15T15:48:22.000", "createdAt" : "2026-06-15T23:52:29.901", "lastUpdated" : "2026-06-16T07:38:07.319", "ingestTimestamp" : "2026-06-15T23:52:29.901", "mongoId" : "6a3063d6f292fd229cf9ef61", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Report preparation", "Value chain coordination", "Stakeholder engagement", "Market assessment", "Value chain development", "Market systems", "Agribusiness", "Microsoft Office" ], "skillCount" : 9, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.92 }, { "id" : "6a2c8b7c74d8ee00a0972f1c", "title" : "Staff Product Marketing Manager, Payer - Clinical Value", "company" : "Headway", "industry" : "All Cost Centers", "salary" : { "min" : 190400.0, "max" : 238000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Remote", "locations" : [ "Remote" ], "timestamp" : "2026-06-16T07:48:51.093", "fingerprint" : "b999ca731c3c70855883903a185f309a831c15c16af7bd4d1b3ca9844dd7451f", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/headway/3191abb0-3f37-4ec6-a9ef-2012bdbc4c6e/application", "externalId" : "3191abb0-3f37-4ec6-a9ef-2012bdbc4c6e", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Competitive intelligence", "Narrative building", "Data translation" ], "hardSkillsList" : [ "Evidence-based storytelling" ], "softSkillsList" : [ "Relationship-obsessed" ], "hardSkills" : [ { "name" : "Evidence-based storytelling", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Relationship-obsessed" } ], "majorSkills" : "Product marketing, Payer marketing, Clinical value narrative", "majorSkillsList" : [ "Product marketing", "Payer marketing", "Clinical value narrative" ], "coreResponsibilities" : "Own value translation to payer narrative, Position as critical partner to payers, Translate clinical/network data into stories, Inspire payers to bring Headway examples first, Partner with clinical team to source data, Build narrative around data, Build competitive intelligence capability, Surface insights to product and GTM, Shape positioning against alternatives, Ensure narrative consistency across materials, Equip sales, BD, account teams, Provide story, data, talking points", "teamCollaboration" : "Partner with clinical team; Partner with other PMMs/marketers; Partner with Head of Brand & Product Marketing; Partner with CPO; Partner with Chief Commercial Officer", "domainKnowledge" : "Mental healthcare system; Payer clinical narrative; Mental health quality", "domainList" : [ "mental-healthcare-system", "payer-clinical-narrative", "mental-health-quality" ], "domainSpecificKnowledge" : [ "Mental healthcare system", "Payer clinical narrative", "Mental health quality" ], "communicationSkills" : "Storytelling", "continuousLearning" : "Training and professional development", "qualificationsBasic" : "7+ years product marketing experience, Marketing to payers or enterprise buyers, Built audience-facing narratives from data, Comfortable with clinical lead and data scientist, Point of view on clinical/scientific storytelling, Track record of quantifiable results", "qualificationsPreferred" : "Experience in healthcare, fintech, or regulated industry", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "1 in 4 people in the US have a treatable mental health condition, but most providers don't accept insurance, making therapy too expensive for most people. Headway’s mission is to fix this by building a new mental healthcare system everyone can access. We started by solving the biggest barrier to care: insurance. The admin work - credentialing, claims, payment reconciliation - is a nightmare. We've automated that. But we're going further. Over 75,000 providers across all 50 states run their practice on our software, serving over 1 million patients. We are building the best tools for therapists to run their entire practice, reimagining the experience of finding a therapist, and investing in the platform foundations to enable this at scale. We aren't just a billing layer; we are becoming the platform where care actually happens. We're a Series D company with $325M+ in funding (a16z, Accel, Spark Capital, etc.), looking for exceptional people to help us achieve this mission. We want your time here to be the most meaningful experience of your career. Join us, and help change mental healthcare for the better. About the Role Payers are foundational to Headway's mission. We can't expand access to mental healthcare without winning the trust of the plans who pay for it, and that trust gets built through a clear, evidence-backed story about clinical quality and outcomes. As our Staff Product Marketing Manager, Payer - Clinical Value, you'll own that story. You'll source the data, build the narrative, and partner with our clinical team to make Headway the most credible voice in the room when payers talk about mental health quality. You'll also own competitive intelligence for the payer audience, keeping us on offense in a market that's getting more crowded every quarter. You'll sit on a small, focused Payer Marketing team. Your peer Payer PMM owns field marketing and the content library, so you can stay focused on narrative and competitive work. You'll report up to the Head of Payer Marketing and partner closely with the Head of Brand & Product Marketing, the CPO, and the Chief Commercial Officer. You Will... - Own how we translate the value of our network into a narrative that positions us as a critical partner to payers in driving quality mental health outcomes. - Translate Headway's clinical and network data into evidence-backed stories - that inspire payers to bring Headway examples first, when in their own the payer clinical and value narrative . Partner with our clinical team to source the data, then build the narrative around it. - Build a competitive intelligence capability that surfaces insights to product and GTM and shapes how we position against alternatives. - Partner with other PMMs/marketers to ensure that the narrative shows up consistently across pitch decks, one-pagers, RFPs, and events. - Equip our sales, BD, and account teams with the story, the data, and the talking points they need to win. You’d be a great fit if... - You have 7+ years of product marketing experience, ideally marketing to payers or enterprise buyers in healthcare, fintech, or another highly regulated industry. - You've built audience-facing narratives from data. You're comfortable sitting with a clinical lead, a data scientist, and a deck at the same time. - You have a point of view on what good clinical or scientific storytelling looks like. - You're empathetic and relationship-obsessed, both with internal collaborators and customers. - You're a strong storyteller and narrative-builder. - You have a strong track record of quantifiable results. - You want an environment with open feedback and high autonomy. - You're motivated by the chance to make an impact on one of our generation's defining problems, accessible mental healthcare. Compensation and Benefits: The expected base pay range for this position is $190,400 - $238,000, based on a variety of factors including qualifications, experience, and geographic location. In addition to base salary, this role may be eligible for an equity grant, depending on the position and level. We are committed to offering a comprehensive and competitive total rewards package, including robust health and wellness benefits, retirement savings, and meaningful ownership opportunities through equity. Compensation decisions are made holistically, ensuring fairness and alignment with market benchmarks while recognizing individual contributions and potential. - Benefits offered include: - Equity compensation - Medical, Dental, and Vision coverage - HSA / FSA - 401K - Work-from-Home Stipend - Therapy Reimbursement - 16-week parental leave for eligible employees - Carrot Fertility annual reimbursement and membership - 13 paid holidays each year as well as a Holiday Break during the week between December 25th and December 31st - Flexible PTO - Employee Assistance Program (EAP) - Training and professional development We believe a team's strength is in its people, and we cannot achieve this mission without a team that reflects the diversity of this problem – across race, ethnicity, gender, sexuality, age, national origin, religion, family status, disability, military status, and experience. Headway is committed to the full inclusion of all qualified individuals. As part of this commitment, Headway will ensure that persons with disabilities are provided with reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or receive other benefits and privileges of employment, please inform the recruiter when they contact you to schedule your interview. Headway participates in E-Verify. To learn more, click here. https://www.e-verify.gov/sites/default/files/everify/posters/EVerifyParticipationPoster.pdf A notice to Headway applicants: To protect yourself against phishing and recruitment fraud, please note that Headway only accepts applications through our official careers page at https://headway.co/careers. Headway will never refer you to external websites, ask for payment or personal information, or conduct interviews via messaging apps. All official communication will come from a @findheadway.com http://findheadway.com email address. If you are contacted by someone claiming to be from Headway via an unofficial channel, please do not share any information and report it as spam.", "summaryDescription" : "Staff Product Marketing Manager, Payer - Clinical Value at Headway. Skills: Product marketing, Payer marketing, Clinical value narrative. Own value translation to payer narrative. Position as critical partner to payers", "createdAt" : "2026-06-14T21:49:56.541", "lastUpdated" : "2026-06-16T07:48:51.093", "ingestTimestamp" : "2026-06-14T21:49:56.541", "mongoId" : "6a2c8b7c74d8ee00a0972f1c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 190400, "salaryAnnualMax" : 238000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Evidence-based storytelling", "Relationship-obsessed", "Product marketing", "Payer marketing", "Clinical value narrative", "Competitive intelligence", "Narrative building", "Data translation", "Mental healthcare system", "Payer clinical narrative", "Mental health quality" ], "skillCount" : 11, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.97 }, { "id" : "6a307ecdf292fd229c0528ca", "title" : "Data Product Manager", "company" : "Chainalysis", "industry" : "Corporate Functions", "salary" : { "min" : 115000.0, "max" : 165000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Data Product Manager in the Technology industry in Canada, adjusted for remote work and company size." }, "location" : "Ontario", "locations" : [ "Ontario" ], "timestamp" : "2026-06-16T10:45:00.669", "fingerprint" : "58e233bcf18706acbae2c92e471a596308ff4239b251e62d76bc87670271a132", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/chainalysis-careers/dfe62aae-2b72-4593-8a59-fafc1e03785a/application", "externalId" : "dfe62aae-2b72-4593-8a59-fafc1e03785a", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Canada", "continent" : "na", "workMode" : "remote" } ], "locationText" : "Canada", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL, Python, AWS Redshift, Databricks, Databricks Genie, Git, Github Enterprise, Dbt, Tableau, DataGrip", "professionalSkills" : [ "Product strategy", "Roadmap development", "User story creation", "Metric definition", "Semantic layer establishment", "Business logic", "Data modeling", "Stakeholder management", "Problem analysis" ], "hardSkillsList" : [ "Data warehousing", "Data modeling", "Analytics workflows", "Business metrics", "SQL optimization" ], "softSkillsList" : [ "Communication skills" ], "hardSkills" : [ { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Analytics workflows", "level" : "intermediate" }, { "name" : "Business metrics", "level" : "intermediate" }, { "name" : "SQL optimization", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Communication skills" } ], "majorSkills" : "Data Product Management, Data Strategy, Analytics, Product Thinking", "majorSkillsList" : [ "Data Product Management", "Data Strategy", "Analytics", "Product Thinking" ], "coreResponsibilities" : "Own design of data products, Own discovery of data products, Own operationalization of data products, Translate business needs into data assets, Ensure data product quality, Ensure data product usability, Ensure data product adoption, Partner with Data Engineering, Partner with Data Operations, Partner with business stakeholders, Define data models, Standardize metrics, Maintain documentation, Translate business problems into use cases, Translate business problems into data solutions, Define metric definitions, Standardize semantic layers, Establish business logic, Establish calculation rules, Establish hierarchies, Design scalable datasets, Build scalable datasets, Optimize scalable datasets, Consolidate data, Refresh data, Make data accessible, Manage operational lifecycle, Manage updates, Manage issue resolution, Manage performance tracking, Drive adoption of datasets, Create documentation, Create examples, Create enablement materials", "teamCollaboration" : "Cross-functional teams; Data Engineering; Data Operations; Business stakeholders", "projectManagementSkills" : [ "Agile environments" ], "domainKnowledge" : "Enterprise SaaS; Go-To-Market processes; Quote-to-Cash processes; Data governance; Business metrics; ARR; Churn; NRR; LTV:CAC", "domainList" : [ "enterprise-saas", "go-to-market-processes", "quote-to-cash-processes", "data-governance", "business-metrics", "arr", "churn", "nrr", "ltv-cac" ], "domainSpecificKnowledge" : [ "Enterprise SaaS", "Go-To-Market processes", "Quote-to-Cash processes", "Data governance", "Business metrics", "ARR", "Churn", "NRR", "LTV:CAC" ], "toolProficiency" : [ "Confluence", "Databricks", "Snowflake", "Dbt", "Tableau", "Looker", "Salesforce", "NetSuite", "Jira" ], "communicationSkills" : "Stakeholder communication", "documentationSkills" : "Documentation creation; Documentation maintenance", "problemSolvingSkills" : "Analytical; Problem-solving; Data-driven mindset", "qualificationsBasic" : "Experience as Data Product Manager, Experience as Data Strategist, Experience in product-oriented, data-focused environment, Understanding of data ecosystems, Understanding of data warehousing, Understanding of data modeling, Understanding of analytics workflows, Experience with cross-functional teams, Experience with Data Engineering, Experience with business stakeholders, Experience translating business problems, Experience creating documentation, Experience maintaining documentation, Analytical skills, Problem-solving skills, Experience driving product adoption, Experience measuring impact", "qualificationsPreferred" : "Experience in enterprise SaaS environments, Knowledge of Go-To-Market processes, Knowledge of Quote-to-Cash processes, Familiarity with Databricks, Familiarity with Snowflake, Familiarity with dbt, Familiarity with Tableau, Familiarity with Looker, Experience with AI-powered analytics tools, Exposure to data governance, Exposure to data catalog tools, Technical background in SQL, Technical background in analytics engineering, Familiarity with Salesforce, Familiarity with NetSuite, Familiarity with GTM systems, Familiarity with Finance systems, Experience in Agile environments", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Job Title: Data Product Manager Location: Canada (Remote, East Coast) The Enterprise Data and Analytics (ED&A) team is responsible for unlocking the value in Chainalysis’ corporate data. We work with internal stakeholders in GTM, Operations and Finance. Our goal is to accelerate Chainalysis’ growth and empower our employees to do their best work. We are looking for a Data Product Manager to support the Data Products team by owning the design, discovery, and operationalization of data products. This role will be responsible for translating business needs into scalable, well-defined data assets and ensuring their ongoing quality, usability, and adoption. The ideal candidate will partner closely with Data Engineering, Data Operations, and business stakeholders to define data models, standardize metrics, and maintain high-quality documentation, ensuring enterprise data products are reliable, consistent, and usable. They will bring experience at the intersection of data, analytics, and product thinking, and are comfortable translating ambiguous stakeholder needs into structured, scalable data solutions while maintaining strong operational rigor. In this role, you’ll: - Partner with stakeholders to translate business problems into clear data product use cases and scalable data solutions - Define and standardize metric definitions and semantic layers by establishing clear business logic, calculation rules, and hierarchies to ensure consistency, accuracy, and alignment across reporting - Collaborate with Data Engineering to design, build, and optimize scalable, reusable datasets that consolidate, refresh, and make data easily accessible to stakeholders - Manage the operational lifecycle of data products, including updates, issue resolution, and performance tracking - Drive adoption of standardized datasets by creating clear documentation, examples, and enablement materials We’re looking for candidates who have: - Experience working as Data Product Manager, Data Strategist, or in a product-oriented, data-focused environment - Strong understanding of data ecosystems, including data warehousing, modeling, and analytics workflows - Experience working with cross-functional teams including Data Engineering and business stakeholders - Experience translating complex business problems into clear product requirements and scalable data solutions - Strong understanding business metrics (eg: ARR, Churn, NRR, LTV:CAC) and how they are used in decision making - Experience creating and maintaining documentation in tools like Confluence - Excellent stakeholder management and communication skills - Strong analytical and problem-solving skills with a data-driven mindset - Experience driving product adoption and measuring impact Nice to have experience: - Experience in enterprise SaaS environments with knowledge of Go-To-Market and Quote-to-Cash processes - Familiarity with tools such as Databricks, Snowflake, dbt, Tableau or Looker - Experience working with AI-powered analytics tools (e.g., Databricks Genie or similar) - Exposure to data governance, or data catalog tools - Technical background in SQL or analytics engineering - Familiarity with Salesforce, NetSuite, or other GTM/Finance systems - Experience working in Agile environments using tools like Jira Systems/Tools we use: - Marketo - Salesforce - NetSuite - Adaptive Insights - Pendo - Fivetran - Dagster - AWS Redshift - Databricks & Databricks Genie - Git / Github Enterprise - SQL - dbt - Python - Tableau - DataGrip - Jira - Confluence About Chainalysis Blockchain technology is powering a growing wave of innovation. Businesses and governments around the world are using blockchains to make banking more efficient, connect with their customers, and investigate criminal cases. As adoption of blockchain technology grows, more and more organizations seek access to all this ecosystem has to offer. That’s where Chainalysis comes in. We provide complete knowledge of what’s happening on blockchains through our data, services, and solutions. With Chainalysis, organizations can navigate blockchains safely and with confidence. You belong here. At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you. ", "summaryDescription" : "Data Product Manager at Chainalysis. Skills: Data Product Management, Data Strategy, Analytics, Product Thinking. Own design of data products. Own discovery of data products", "createdAt" : "2026-06-16T01:59:53.009", "lastUpdated" : "2026-06-16T10:45:00.669", "ingestTimestamp" : "2026-06-16T01:59:53.009", "mongoId" : "6a307ecdf292fd229c0528ca", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Data warehousing", "Data modeling", "Analytics workflows", "Business metrics", "SQL optimization", "Communication skills", "Data Product Management", "Data Strategy", "Analytics", "Product Thinking", "Product strategy", "Roadmap development", "User story creation", "Metric definition", "Semantic layer establishment", "Business logic", "Stakeholder management", "Problem analysis", "Agile environments", "Enterprise SaaS", "Go-To-Market processes", "Quote-to-Cash processes", "Data governance", "ARR", "Churn", "NRR", "LTV:CAC", "Confluence", "Databricks", "Snowflake", "Dbt", "Tableau", "Looker", "Salesforce", "NetSuite", "Jira" ], "skillCount" : 36, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cb0a074d8ee00a09da8cd", "title" : "Data Analyst, Product (Banking and Payments)", "company" : "Float", "industry" : "Engineering", "salary" : { "min" : 85000.0, "max" : 115000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Data Analyst in Toronto, Canada, adjusted for the FinTech industry." }, "location" : "Toronto, Canada", "locations" : [ "Toronto, Canada" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-15T09:59:32.239", "fingerprint" : "65c7c3cf1af669b1473ccf3c86e34b76d1974972fe922fa8e068937d0c9e71da", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/float/097f849c-765d-4cac-acf7-898cfa66c20d/application", "externalId" : "097f849c-765d-4cac-acf7-898cfa66c20d", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Toronto", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.6534817,-79.3839347" } ], "locationText" : "Toronto, Ontario, Canada", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL, Python, Dbt, Snowflake, BigQuery, Redshift, Databricks, AWS, GCP, Azure, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow", "professionalSkills" : [ "Product analytics", "Measurement frameworks", "Experiment design", "Data quality audit", "Cohort analysis", "Retention analysis", "Statistical rigor", "Business context" ], "hardSkillsList" : [ "Statistical analysis", "A/B testing", "Causal inference", "Regression analysis", "Classification", "Clustering", "Time-series analysis", "Data modelling", "SQL optimization", "Data pipeline debugging" ], "softSkillsList" : [ "Learning velocity", "Character" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" }, { "name" : "Regression analysis", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "Data modelling", "level" : "intermediate" }, { "name" : "SQL optimization", "level" : "intermediate" }, { "name" : "Data pipeline debugging", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Learning velocity" }, { "name" : "Character" } ], "majorSkills" : "Product analytics, Data engineering, Machine learning, Business intelligence", "majorSkillsList" : [ "Product analytics", "Data engineering", "Machine learning", "Business intelligence" ], "coreResponsibilities" : "Define measurement requirements, Support instrumentation for measurement, Design measurement frameworks, Align on measurement frameworks, Design A/B tests, Size experiments for power, Interpret experiment results, Own metrics and dashboards, Ensure dbt model accuracy, Own data quality, Audit dbt models, Write analytics engineering briefs, Flag data gaps, Run cohort analysis, Run retention analysis, Diagnose metric drivers, Debug ambiguous numbers, Write expert SQL, Apply statistical rigor, Construct cohorts, Calculate retention, Apply confidence intervals, Perform significance testing, Use AI for analysis, Write SQL with LLMs, Draft frameworks with LLMs, Structure analysis with LLMs", "teamCollaboration" : "Embedded in product teams; Work with engineering; Collaborate with product; Work with design; Collaborate with product marketing; Hold ground respectfully", "projectManagementSkills" : [ "Roadmap decisions" ], "domainKnowledge" : "Banking infrastructure; Payments; Fintech; Attach rate; Payment rails; KYC; AP workflows; Pre-authorized payments; Balance/deposit metrics; Churn dynamics", "domainList" : [ "banking-infrastructure", "payments", "fintech", "attach-rate", "payment-rails", "kyc", "ap-workflows", "pre-authorized-payments", "balance-deposit-metrics", "churn-dynamics" ], "domainSpecificKnowledge" : [ "Banking infrastructure", "Payments", "Fintech", "Attach rate", "Payment rails", "KYC", "AP workflows", "Pre-authorized payments", "Balance/deposit metrics", "Churn dynamics" ], "toolProficiency" : [ "Metabase", "Looker", "Tableau", "Sigma", "Snowflake", "Dbt Cloud" ], "communicationSkills" : "Translate roadmap decisions; Present findings; Respectful disagreement", "problemSolvingSkills" : "Debug ambiguous numbers; Root cause analysis", "qualificationsBasic" : "2-4+ years product analytics, SQL proficiency, Dbt-comfortable, Metabase, Looker, Tableau, Sigma experience", "qualificationsPreferred" : "PhD preferred, Fintech familiarity, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, Dbt Certified", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "ABOUT FLOAT Float is on a mission to simplify finance for Canadian businesses, empowering them to eliminate complexity and unlock new opportunities. Through our innovative platform, Float enables businesses to streamline financial operations and optimize cash flow, so they can focus on what matters most: growth. As one of Canada’s fastest growing companies https://www.theglobeandmail.com/business/rob-magazine/top-growing-companies/article-ranking-canadas-top-growing-companies-of-2024/ and top-rated startups in 2025 https://www.linkedin.com/posts/floatfinancial_were-proud-to-share-that-float-has-been-activity-7387093684720300032-2DDz/, 2024 https://www.linkedin.com/pulse/linkedin-top-startups-2024-15-canadian-companies-rise-linkedin-news-llihe/ and 2023 https://lnkd.in/TSU23CA, Float is customer-obsessed, passionate and entrepreneurial, with a team that includes leaders from Uber, Stripe, Shopify, Top Hat, Ada, Doordash, Snowflake, and Wealthsimple. At Float, everyone is an owner, bringing their unique perspective to our team and product. Your voice is important, and we take having a culture based on feedback seriously. We openly share our thoughts and differing opinions so we can continue to improve. We do our best to keep our decision-making decentralized so that all team members feel ownership in our success. OUR PRODUCT Float is Canada's complete business finance platform, combining modern financial services and software to help businesses spend, save, and grow. Trusted by 6000+ Canadian companies, Float provides high-limit corporate cards, automated expense management, next-day bill payments, high-yield accounts and fast, friendly support—all built in Canada, for Canada. Float is backed by world-class venture and fintech investors, including Growth Equity at Goldman Sachs Alternatives and OMERS Ventures, partners behind our $70 million Series B raise https://floatfinancial.com/we-raised-70-million-to-fix-canadas-business-banking-problem/. Our team is a collection of ambitious, collaborative and mission-driven people from all walks of life but with one goal: helping Canadian companies not just survive but thrive. And we’re looking for bold innovators to help shape the future of business finance in Canada. AI USE IN OUR HIRING PROCESS We use technology, including artificial intelligence (AI), to support parts of our hiring process. This may include AI-assisted scheduling and candidate communications, and AI-generated interview notes, guides or summaries to help our team focus on the conversation. All hiring decisions are made by our hiring team. ABOUT THE ROLE Float is building the financial operating system for Canadian businesses — corporate cards, business bank accounts, bill payments, all in one place. Reporting to the Head of Data, this role is embedded inside the product teams behind two of those core pillars: banking infrastructure and payments. Both are high-complexity, high-stakes areas that generate a dense mix of financial, behavioral, and operational data. This role owns that data layer. You're building cohorts before anyone asks, designing measurement frameworks before features go to engineering, and debugging numbers to the source — pipeline issue, definition mismatch, or real product signal. You're also someone who uses AI to move faster without losing rigour. Getting useful outputs from a model means knowing the business and data well enough to give it the right context — that's part of the job too. WHAT YOU'LL BE DOING - Define what needs to be measured before features ship and support the instrumentation to measure it. You translate roadmap decisions into measurement requirements. - Design and get broad alignment on measurement frameworks before features go to engineering — hypothesis, cohorts, success criteria. - Design and analyze experiments - structure A/B tests for product changes. Define the hypothesis, select the right unit of randomization, size the experiment for sufficient power and interpret results with statistical rigour - Own the metrics and dashboards for Banking and Payments. Every number is traceable to a reliable dbt model. You keep them accurate. - Own data quality in your product area — audit dbt models, write clear briefs for analytics engineering, flag gaps before they become problems. - Run cohort and retention analysis natively — activation sequences, behavioral funnels, leading vs. lagging indicators. Diagnose which lever moves the number, not just what happened. - Debug ambiguous numbers to the source — pipeline issue, definition mismatch, or real product signal. You close the loop. - Write expert SQL and bring statistical rigour — cohort construction, retention calculations, confidence intervals, significance testing. You know when you have enough signal to act. - Use AI as a multiplier — accelerate analysis, generate first-pass SQL, and pressure-test hypotheses faster than you could alone. You know how to give a model the business and data context that makes its outputs impactful. - Take your share of ad-hoc requests on rotation — owning your product area gives the broader data team meaningful breathing room. WHAT SUCCESS LOOKS LIKE - Get Embedded: Both team leads treat you as the owner of their data layer. KPI definitions are agreed upon, documented, and tied to reliable dbt models. Gaps are flagged with a fix in motion. - Build the Measurement Layer: Features ship with measurement frameworks designed upfront. Dashboards for the core banking and payments metrics are clean, trusted, and traceable. - Drive Product Evidence: Product decisions are shaped by your analysis before they are made. When a team lead is asked by leadership whether a feature is landing, they already know — because you’ve built the infrastructure that makes the question answerable. WHAT WE'RE LOOKING FOR - Product analytics depth — you've been embedded in a product team, own activation funnels and cohort retention natively, and know how to instrument a feature before it ships. - Experimentation and measurement design — you design A/B tests and quasi-experiments from the ground up: hypothesis, randomization unit, sample size and power calculations, guardrail metrics, and holdout design. You build pre/post and diff-in-diff analyses where randomization isn't feasible, and you know how to communicate the difference in confidence between the two - Data layer ownership — you're the DRI for data quality in your product area: auditing dbt models, writing briefs for analytics engineering, and debugging ambiguous numbers to the source. - Expert-level SQL — you build complex multi-step queries across large behavioral datasets, optimize for performance, and explain the logic to non-technical stakeholders. - Statistical reasoning — you understand distributions, confidence intervals, significance testing, and sample size constraints. You design for confounders, know when you have enough signal, and communicate uncertainty in plain language. - Data modeling literacy — you translate business logic into data requirements, specify the grain a table needs, and have informed opinions on how metrics get structured in dbt. - Comfort with imperfect data — you make a reasoned call, state your confidence level, and give stakeholders something actionable rather than waiting for clean infrastructure. - Stakeholder fluency — you work effectively across Product, Design, Engineering, and Product Marketing, and hold your ground respectfully when data contradicts what the team wants to believe. - AI as an accelerator — you've used LLMs to write SQL, draft frameworks, or structure analysis, and you know where they're reliable and where they need guardrails. - 2–4+ years in product analytics, ideally embedded in a product team at a high-growth fintech or SaaS company. - BI tool experience — Metabase, Looker, Tableau, Sigma, or similar. - dbt-comfortable (reading models, understanding lineage) with Snowflake or a comparable cloud warehouse. - Fintech familiarity — attach rate, payment rails, KYC, AP workflows, pre-authorized payments, balance/deposit metrics, churn dynamics — is a meaningful differentiator. OUR HIRING PHILOSOPHY We hire for character, curiosity, and learning velocity before credentials. Titles matter less than impact, and every hire is expected to raise the bar for Float as a whole. WHY YOU SHOULD JOIN - Work at one of Canada's fastest-growing fintech companies - Make a real impact in a high-autonomy, high-growth role - Collaborate with an ambitious and supportive team - Competitive compensation, equity options, and benefits - Hybrid work model – we are based in Toronto with in-office days for connection and collaboration - Enjoy catered team lunches every Tuesday, Wednesday and Thursday - Bring your pup to our dog-friendly office - Thrive in a high-trust, high-performance culture where your work truly matters IN SHORT At Float, you’ll thrive if you’re bold, curious, and eager to make a real impact. We're building something special—and having a lot of fun along the way. If you’re excited to build, grow, and win together, we’d love to meet you. We’re committed to building a workplace that’s welcoming and accessible for everyone. If you need any accommodations during the hiring process or once you join Float, just let us know! You can reach out to Vic https://www.linkedin.com/in/victoria-boult-b21b2053/ (victoria@floatfinancial.com), and we’ll work with you to make sure you have what you need to succeed.", "summaryDescription" : "Data Analyst, Product (Banking and Payments) at Float. Skills: Product analytics, Data engineering, Machine learning, Business intelligence. Define measurement requirements. 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External auditors; Federal Business Group teams", "domainKnowledge" : "Federal Acquisition Regulation; Cost Accounting Standards; Government regulations; FAR provisions", "domainList" : [ "federal-acquisition-regulation", "cost-accounting-standards", "government-regulations", "far-provisions" ], "domainSpecificKnowledge" : [ "Federal Acquisition Regulation", "Cost Accounting Standards", "Government regulations", "FAR provisions" ], "communicationSkills" : "Customer service", "problemSolvingSkills" : "Process improvement", "qualificationsBasic" : "1-3 years experience", "qualificationsPreferred" : "Working knowledge of FAR, Working knowledge of CAS", "remoteFriendly" : false, "workSiteFlexibility" : "Hybrid", "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' 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. HDR is seeking an intelligent and energetic individual to launch their career at the intersection of Finance, Data, Government Compliance and Technology. This role is a hybrid of compliance, finance, and analytics with emphasis on automation and data-driven insights, process improvement, cross-functional collaboration and government contracting compliance. The responsibilities include, but are not limited to, the following: Improve financial accuracy and efficiency by designing and implementing automated expense review processes using tech-enabled solutions. Transform manual expense report review processes when evaluating expenses for compliance with HDR guidelines and FAR provisions. Contribute to leadership decision-making by enhancing financial forecasting models, assisting in developing periodic overhead rate forecast data. Coordinate with a cross-functional team in assessing current forecast methodologies, introducing efficiencies, and building system-based forecast reporting. As part of the annual indirect rate development process, conduct monthly transactional reviews and assess compliance with applicable government regulations. Work across teams, including external auditors and other HDR team members, to achieve Government Compliance objectives and drive process improvements. Design and implement tech-enabled audit tracking mechanisms for government client audits conducted across geographies and business groups. Maintain HDR federal registration data in compliance with applicable government regulations. Coordinate with Federal Business Group teams in supporting contract administration and reporting activity. Provide high level of customer service to internal and external customers; understand HDR’s core business and promote a sense of urgency towards business-critical issues. Develop agents and other tech-enabled solutions to monitor government regulation changes, including the Federal Acquisition Regulation, Cost Accounting Standards, and industry guidance. Support collaboration activities to promote and implement continuous process improvement. Preferred Qualifications Working knowledge of the Federal Acquisition Regulation and Cost Accounting Standards. A minimum of 1-3 years or relevant internship/academic experience in accounting, finance, consulting, or a related function. ", "summaryDescription" : "Business & Data Analyst at HDR. Skills: Finance, Data Analytics, Compliance, Automation. Improve financial accuracy. 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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' 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. HDR is seeking an intelligent and energetic individual to launch their career at the intersection of Finance, Data, Government Compliance and Technology. This role is a hybrid of compliance, finance, and analytics with emphasis on automation and data-driven insights, process improvement, cross-functional collaboration and government contracting compliance. The responsibilities include, but are not limited to, the following: Improve financial accuracy and efficiency by designing and implementing automated expense review processes using tech-enabled solutions. Transform manual expense report review processes when evaluating expenses for compliance with HDR guidelines and FAR provisions. Contribute to leadership decision-making by enhancing financial forecasting models, assisting in developing periodic overhead rate forecast data. Coordinate with a cross-functional team in assessing current forecast methodologies, introducing efficiencies, and building system-based forecast reporting. As part of the annual indirect rate development process, conduct monthly transactional reviews and assess compliance with applicable government regulations. Work across teams, including external auditors and other HDR team members, to achieve Government Compliance objectives and drive process improvements. Design and implement tech-enabled audit tracking mechanisms for government client audits conducted across geographies and business groups. Maintain HDR federal registration data in compliance with applicable government regulations. Coordinate with Federal Business Group teams in supporting contract administration and reporting activity. Provide high level of customer service to internal and external customers; understand HDR’s core business and promote a sense of urgency towards business-critical issues. Develop agents and other tech-enabled solutions to monitor government regulation changes, including the Federal Acquisition Regulation, Cost Accounting Standards, and industry guidance. Support collaboration activities to promote and implement continuous process improvement. Preferred Qualifications Working knowledge of the Federal Acquisition Regulation and Cost Accounting Standards. 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Design and implement tech-enabled audit tracking mechanisms for government client audits conducted across geographies and business groups. Maintain HDR federal registration data in compliance with applicable government regulations. Coordinate with Federal Business Group teams in supporting contract administration and reporting activity. Provide high level of customer service to internal and external customers; understand HDR’s core business and promote a sense of urgency towards business-critical issues. Develop agents and other tech-enabled solutions to monitor government regulation changes, including the Federal Acquisition Regulation, Cost Accounting Standards, and industry guidance. Support collaboration activities to promote and implement continuous process improvement. Preferred Qualifications Working knowledge of the Federal Acquisition Regulation and Cost Accounting Standards. 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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' 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. HDR is seeking an intelligent and energetic individual to launch their career at the intersection of Finance, Data, Government Compliance and Technology. This role is a hybrid of compliance, finance, and analytics with emphasis on automation and data-driven insights, process improvement, cross-functional collaboration and government contracting compliance. The responsibilities include, but are not limited to, the following: Improve financial accuracy and efficiency by designing and implementing automated expense review processes using tech-enabled solutions. Transform manual expense report review processes when evaluating expenses for compliance with HDR guidelines and FAR provisions. Contribute to leadership decision-making by enhancing financial forecasting models, assisting in developing periodic overhead rate forecast data. Coordinate with a cross-functional team in assessing current forecast methodologies, introducing efficiencies, and building system-based forecast reporting. As part of the annual indirect rate development process, conduct monthly transactional reviews and assess compliance with applicable government regulations. Work across teams, including external auditors and other HDR team members, to achieve Government Compliance objectives and drive process improvements. Design and implement tech-enabled audit tracking mechanisms for government client audits conducted across geographies and business groups. Maintain HDR federal registration data in compliance with applicable government regulations. Coordinate with Federal Business Group teams in supporting contract administration and reporting activity. Provide high level of customer service to internal and external customers; understand HDR’s core business and promote a sense of urgency towards business-critical issues. Develop agents and other tech-enabled solutions to monitor government regulation changes, including the Federal Acquisition Regulation, Cost Accounting Standards, and industry guidance. Support collaboration activities to promote and implement continuous process improvement. Preferred Qualifications Working knowledge of the Federal Acquisition Regulation and Cost Accounting Standards. 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Implement automated expense review processes", "createdAt" : "2026-06-15T23:08:10.761", "lastUpdated" : "2026-06-16T07:35:56.374", "ingestTimestamp" : "2026-06-15T23:08:10.761", "mongoId" : "6a305764f292fd229cf3935b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 65000, "salaryAnnualMax" : 85000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Expense review", "Financial accuracy", "Automation", "Government contracting compliance", "Data analytics", "Financial forecasting", "Process improvement", "Data-driven insights", "Government contracting", "Federal Acquisition Regulation", "Cost Accounting Standards", "Government regulations" ], "skillCount" : 12, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Junior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c9fae74d8ee00a09a04ce", "title" : "Step into the Hexa ecosystem", "company" : "Hexa", "industry" : "Hexa", "location" : "No Location", "locations" : [ "No Location" ], "timestamp" : "2026-06-16T02:17:11.193", "fingerprint" : "0e237cbdebdf64c78cf0edcecd0c4bc66bd32a384d24547744ba0ba6ab369a7c", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/hexa/b10a4d3a-1831-4634-bb47-8e818ce681d7/application", "externalId" : "b10a4d3a-1831-4634-bb47-8e818ce681d7", "industryFunction" : { }, "employmentType" : "FULL_TIME", "remoteFriendly" : true, "rawDescription" : "JOIN OUR NETWORK OF EXCEPTIONAL TALENT Be part of what's next at Hexa We want to know more about you! But before that, a bit of context about us. About Hexa Hexa started as eFounders in 2011 to rethink company creation: building alongside founders, not from the sidelines. We've built over 50 companies, including Aircall, Spendesk, Front, Swan, and Yousign, with a combined valuation of over $5 billion, and companies employing more than 2,600 talented people all around the world. Our hands-on model has proven successful. Now a leading multi-stage startup studio, we stay true to our DNA: founder-first and deeply involved, across AI, Future of Work, fintech, climate, defense and cybersecurity. Because when ambitious founders and teams come together, exceptional companies are born. To fulfill this incredible purpose, we're constantly looking for exceptional individuals. Whether you're planning on launching a top tier company or joining one, here's a simple and quick get-to-know-you form that will help us match you with the best opportunities from the Hexa family. Start a Company with us Partner with us for 12 months to build the foundations of a new category-defining company — and 10x your chances of success with our team as your co-founder. Join the Core Team The team that co-builds every startup we launch. You work across multiple ventures in parallel, embedded with founders from day one, across product, design, go-to-market, recruiting, finance, and legal. If you want to be at the heart of company creation, this is it. Join a Hexa venture early Every year, Hexa co-founds around 12 new startups. Joining one in its first months means taking a founding employee role: you build the product, shape the culture, and own a real stake in the outcome, with the full support of Hexa's Core Team behind you. Join a Hexa portfolio company Some of our startups are further along. They're scaling, hiring, and looking for strong profiles to help them grow. If you want the energy of a startup with more structure and traction already in place, this is the path. Your turn! :))", "summaryDescription" : "Step into the Hexa ecosystem at Hexa", "createdAt" : "2026-06-14T19:12:21.099", "lastUpdated" : "2026-06-16T02:17:11.193", "ingestTimestamp" : "2026-06-14T19:12:21.099", "mongoId" : "6a2c9fae74d8ee00a09a04ce", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "infrastructure", "seniorityLevel" : "Mid", "dataQualityScore" : 0.5555556, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.0 }, { "id" : "6a2ca07874d8ee00a09a24fe", "title" : "Data Analyst, Product (Banking and Payments)", "company" : "Float", "industry" : "Engineering", "salary" : { "min" : 85000.0, "max" : 115000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Data Analyst in Toronto, Canada, adjusted for the FinTech industry." }, "location" : "Toronto, Canada", "locations" : [ "Toronto, Canada" ], "timestamp" : "2026-06-15T09:15:39.904", "fingerprint" : "a1c316db28b7762fa9d4723afbf2a0ddca938382d0dc51344a8e9f8ed3acfe02", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/Float/097f849c-765d-4cac-acf7-898cfa66c20d/application", "externalId" : "097f849c-765d-4cac-acf7-898cfa66c20d", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Toronto", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "43.6534817,-79.3839347" } ], "locationText" : "Toronto, Ontario, Canada", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL, Python, Dbt, Snowflake, AI, LLMs", "professionalSkills" : [ "Product analytics", "Measurement frameworks", "Experiment design", "Data quality audit", "Cohort analysis", "Retention analysis", "Statistical rigor" ], "hardSkillsList" : [ "Statistical analysis", "A/B testing", "Hypothesis testing", "Confidence intervals", "Significance testing" ], "softSkillsList" : [ "Learning velocity" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Hypothesis testing", "level" : "intermediate" }, { "name" : "Confidence intervals", "level" : "intermediate" }, { "name" : "Significance testing", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Learning velocity" } ], "majorSkills" : "Product analytics, Data quality, Experimentation", "majorSkillsList" : [ "Product analytics", "Data quality", "Experimentation" ], "coreResponsibilities" : "Define measurement needs, Support instrumentation, Translate roadmap decisions, Design measurement frameworks, Align on frameworks, Design experiments, Analyze experiments, Structure A/B tests, Select unit of randomization, Size experiments, Interpret results, Own metrics and dashboards, Keep metrics accurate, Own data quality, Audit dbt models, Write clear briefs, Flag data gaps, Run cohort analysis, Run retention analysis, Diagnose levers, Debug ambiguous numbers, Close the loop, Write expert SQL, Bring statistical rigor, Construct cohorts, Calculate retention, Use LLMs for SQL, Draft frameworks, Structure analysis", "teamCollaboration" : "Product teams; Engineering; Product Marketing; Head of Data", "projectManagementSkills" : [ "Roadmap decisions" ], "domainKnowledge" : "Banking infrastructure; Payments; Fintech; Attach rate; Payment rails; KYC; AP workflows; Pre-authorized payments; Balance/deposit metrics; Churn dynamics", "domainList" : [ "banking-infrastructure", "payments", "fintech", "attach-rate", "payment-rails", "kyc", "ap-workflows", "pre-authorized-payments", "balance-deposit-metrics", "churn-dynamics" ], "domainSpecificKnowledge" : [ "Banking infrastructure", "Payments", "Fintech", "Attach rate", "Payment rails", "KYC", "AP workflows", "Pre-authorized payments", "Balance/deposit metrics", "Churn dynamics" ], "toolProficiency" : [ "Metabase", "Looker", "Tableau", "Sigma" ], "communicationSkills" : "Hold ground respectfully", "problemSolvingSkills" : "Debug ambiguous numbers", "qualificationsBasic" : "2-4+ years product analytics, SQL proficiency, Dbt-comfortable, Snowflake or comparable warehouse", "qualificationsPreferred" : "PhD preferred, Fintech familiarity", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "ABOUT FLOAT Float is on a mission to simplify finance for Canadian businesses, empowering them to eliminate complexity and unlock new opportunities. Through our innovative platform, Float enables businesses to streamline financial operations and optimize cash flow, so they can focus on what matters most: growth. As one of Canada’s fastest growing companies https://www.theglobeandmail.com/business/rob-magazine/top-growing-companies/article-ranking-canadas-top-growing-companies-of-2024/ and top-rated startups in 2025 https://www.linkedin.com/posts/floatfinancial_were-proud-to-share-that-float-has-been-activity-7387093684720300032-2DDz/, 2024 https://www.linkedin.com/pulse/linkedin-top-startups-2024-15-canadian-companies-rise-linkedin-news-llihe/ and 2023 https://lnkd.in/TSU23CA, Float is customer-obsessed, passionate and entrepreneurial, with a team that includes leaders from Uber, Stripe, Shopify, Top Hat, Ada, Doordash, Snowflake, and Wealthsimple. At Float, everyone is an owner, bringing their unique perspective to our team and product. Your voice is important, and we take having a culture based on feedback seriously. We openly share our thoughts and differing opinions so we can continue to improve. We do our best to keep our decision-making decentralized so that all team members feel ownership in our success. OUR PRODUCT Float is Canada's complete business finance platform, combining modern financial services and software to help businesses spend, save, and grow. Trusted by 6000+ Canadian companies, Float provides high-limit corporate cards, automated expense management, next-day bill payments, high-yield accounts and fast, friendly support—all built in Canada, for Canada. Float is backed by world-class venture and fintech investors, including Growth Equity at Goldman Sachs Alternatives and OMERS Ventures, partners behind our $70 million Series B raise https://floatfinancial.com/we-raised-70-million-to-fix-canadas-business-banking-problem/. Our team is a collection of ambitious, collaborative and mission-driven people from all walks of life but with one goal: helping Canadian companies not just survive but thrive. And we’re looking for bold innovators to help shape the future of business finance in Canada. AI USE IN OUR HIRING PROCESS We use technology, including artificial intelligence (AI), to support parts of our hiring process. This may include AI-assisted scheduling and candidate communications, and AI-generated interview notes, guides or summaries to help our team focus on the conversation. All hiring decisions are made by our hiring team. ABOUT THE ROLE Float is building the financial operating system for Canadian businesses — corporate cards, business bank accounts, bill payments, all in one place. Reporting to the Head of Data, this role is embedded inside the product teams behind two of those core pillars: banking infrastructure and payments. Both are high-complexity, high-stakes areas that generate a dense mix of financial, behavioral, and operational data. This role owns that data layer. You're building cohorts before anyone asks, designing measurement frameworks before features go to engineering, and debugging numbers to the source — pipeline issue, definition mismatch, or real product signal. You're also someone who uses AI to move faster without losing rigour. Getting useful outputs from a model means knowing the business and data well enough to give it the right context — that's part of the job too. WHAT YOU'LL BE DOING - Define what needs to be measured before features ship and support the instrumentation to measure it. You translate roadmap decisions into measurement requirements. - Design and get broad alignment on measurement frameworks before features go to engineering — hypothesis, cohorts, success criteria. - Design and analyze experiments - structure A/B tests for product changes. Define the hypothesis, select the right unit of randomization, size the experiment for sufficient power and interpret results with statistical rigour - Own the metrics and dashboards for Banking and Payments. Every number is traceable to a reliable dbt model. You keep them accurate. - Own data quality in your product area — audit dbt models, write clear briefs for analytics engineering, flag gaps before they become problems. - Run cohort and retention analysis natively — activation sequences, behavioral funnels, leading vs. lagging indicators. Diagnose which lever moves the number, not just what happened. - Debug ambiguous numbers to the source — pipeline issue, definition mismatch, or real product signal. You close the loop. - Write expert SQL and bring statistical rigour — cohort construction, retention calculations, confidence intervals, significance testing. You know when you have enough signal to act. - Use AI as a multiplier — accelerate analysis, generate first-pass SQL, and pressure-test hypotheses faster than you could alone. You know how to give a model the business and data context that makes its outputs impactful. - Take your share of ad-hoc requests on rotation — owning your product area gives the broader data team meaningful breathing room. WHAT SUCCESS LOOKS LIKE - Get Embedded: Both team leads treat you as the owner of their data layer. KPI definitions are agreed upon, documented, and tied to reliable dbt models. Gaps are flagged with a fix in motion. - Build the Measurement Layer: Features ship with measurement frameworks designed upfront. Dashboards for the core banking and payments metrics are clean, trusted, and traceable. - Drive Product Evidence: Product decisions are shaped by your analysis before they are made. When a team lead is asked by leadership whether a feature is landing, they already know — because you’ve built the infrastructure that makes the question answerable. WHAT WE'RE LOOKING FOR - Product analytics depth — you've been embedded in a product team, own activation funnels and cohort retention natively, and know how to instrument a feature before it ships. - Experimentation and measurement design — you design A/B tests and quasi-experiments from the ground up: hypothesis, randomization unit, sample size and power calculations, guardrail metrics, and holdout design. You build pre/post and diff-in-diff analyses where randomization isn't feasible, and you know how to communicate the difference in confidence between the two - Data layer ownership — you're the DRI for data quality in your product area: auditing dbt models, writing briefs for analytics engineering, and debugging ambiguous numbers to the source. - Expert-level SQL — you build complex multi-step queries across large behavioral datasets, optimize for performance, and explain the logic to non-technical stakeholders. - Statistical reasoning — you understand distributions, confidence intervals, significance testing, and sample size constraints. You design for confounders, know when you have enough signal, and communicate uncertainty in plain language. - Data modeling literacy — you translate business logic into data requirements, specify the grain a table needs, and have informed opinions on how metrics get structured in dbt. - Comfort with imperfect data — you make a reasoned call, state your confidence level, and give stakeholders something actionable rather than waiting for clean infrastructure. - Stakeholder fluency — you work effectively across Product, Design, Engineering, and Product Marketing, and hold your ground respectfully when data contradicts what the team wants to believe. - AI as an accelerator — you've used LLMs to write SQL, draft frameworks, or structure analysis, and you know where they're reliable and where they need guardrails. - 2–4+ years in product analytics, ideally embedded in a product team at a high-growth fintech or SaaS company. - BI tool experience — Metabase, Looker, Tableau, Sigma, or similar. - dbt-comfortable (reading models, understanding lineage) with Snowflake or a comparable cloud warehouse. - Fintech familiarity — attach rate, payment rails, KYC, AP workflows, pre-authorized payments, balance/deposit metrics, churn dynamics — is a meaningful differentiator. OUR HIRING PHILOSOPHY We hire for character, curiosity, and learning velocity before credentials. Titles matter less than impact, and every hire is expected to raise the bar for Float as a whole. WHY YOU SHOULD JOIN - Work at one of Canada's fastest-growing fintech companies - Make a real impact in a high-autonomy, high-growth role - Collaborate with an ambitious and supportive team - Competitive compensation, equity options, and benefits - Hybrid work model – we are based in Toronto with in-office days for connection and collaboration - Enjoy catered team lunches every Tuesday, Wednesday and Thursday - Bring your pup to our dog-friendly office - Thrive in a high-trust, high-performance culture where your work truly matters IN SHORT At Float, you’ll thrive if you’re bold, curious, and eager to make a real impact. We're building something special—and having a lot of fun along the way. If you’re excited to build, grow, and win together, we’d love to meet you. We’re committed to building a workplace that’s welcoming and accessible for everyone. If you need any accommodations during the hiring process or once you join Float, just let us know! You can reach out to Vic https://www.linkedin.com/in/victoria-boult-b21b2053/ (victoria@floatfinancial.com), and we’ll work with you to make sure you have what you need to succeed.", "summaryDescription" : "Data Analyst, Product (Banking and Payments) at Float. Skills: Product analytics, Data quality, Experimentation. Define measurement needs. Support instrumentation", "createdAt" : "2026-06-14T04:38:39.979", "lastUpdated" : "2026-06-15T09:15:39.904", "ingestTimestamp" : "2026-06-14T04:38:39.979", "mongoId" : "6a2ca07874d8ee00a09a24fe", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Statistical analysis", "A/B testing", "Hypothesis testing", "Confidence intervals", "Significance testing", "Learning velocity", "Product analytics", "Data quality", "Experimentation", "Measurement frameworks", "Experiment design", "Data quality audit", "Cohort analysis", "Retention analysis", "Statistical rigor", "Roadmap decisions", "Banking infrastructure", "Payments", "Fintech", "Attach rate", "Payment rails", "KYC", "AP workflows", "Pre-authorized payments", "Balance/deposit metrics", "Churn dynamics", "Metabase", "Looker", "Tableau", "Sigma" ], "skillCount" : 30, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a306078f292fd229cf8e693", "title" : "Product Data Specialist", "company" : "LG Electronics", "salary" : { "min" : 75000.0, "max" : 105000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Product Data Specialist in Alpharetta, United States, adjusted for the technology industry and company size." }, "location" : "Alpharetta, GA", "locations" : [ "Alpharetta", "GA" ], "timestamp" : "2026-06-16T06:22:32.751", "fingerprint" : "b64073ed4d0c895c18ccc7928b0f1daf8d1a72f77123a0b3c48be94b6f8482fe", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/lgelectronics/jobs/5257778008", "externalId" : "5257778008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Alpharetta", "state" : "Georgia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.0755962,-84.2945964" } ], "locationText" : "Alpharetta, Georgia, United States", "minimumEducation" : "Bachelor's", "remoteFriendly" : false, "rawDescription" : "Step into the innovative world of LG Electronics. As a global leader in technology, LG Electronics is dedicated to creating innovative solutions for a better life. Our brand promise, 'Life's Good', embodies our commitment to ensuring a happier life for all. We have a rich history spanning over six decades and a global presence in over 290 locations. Our diverse portfolio includes Home Appliance Solutions, Media Entertainment Solutions, Vehicle Solutions, and Eco Solutions. Our management philosophy, \"Jeong-do Management,\" embodies our commitment to high ethical standards and transparent operations. Grounded in the principles of 'Customer-Value Creation' and 'People-Oriented Management', these values shape our corporate culture, fostering creativity, diversity, and integrity. At LG, we believe in the power of collective wisdom through an inclusive work environment. Join us and become a part of a company that is shaping the future of technology. At LG, we strive to make Life Good for Everyone. The Opportunity: Location will be in Alpharetta, GA Ensure consistency and accuracy of data across Product Information Management (PIM) and Digital Asset Management (DAM) systems. Support the RAG (Retrieval-Augmented Generation) database by ensuring documents are properly indexed, retrievable, and aligned with user queries. Manage and organize documents in the database, including submittals, owner manuals, engineering manuals, installation manuals, service manuals, and other relevant technical documents. Review new documents, classify them into appropriate categories, and ensure proper metadata and tagging for efficient retrieval. Maintain data quality by updating, correcting, or removing outdated or inaccurate content in the database. Monitor customer feedback and usage patterns to identify gaps or improvement areas in the database content. Collaborate with technical and support teams to validate document accuracy and relevance. Participate in periodic data quality audits and database optimization reviews. Document processes, changes, and best practices for ongoing database management and continuous improvement. Qualifications: Bachelor’s degree in a relevant field (e.g., Information Management, Engineering, Computer Science, or related discipline), or equivalent education and/or experience. Basic understanding of data management principles, including data accuracy, consistency, and organization. Familiarity with Product Information Management (PIM) or Digital Asset Management (DAM) systems (hands-on experience a plus, not required). Basic experience with databases or structured data, such as using Excel, Google Sheets, or simple database tools. Strong attention to detail and ability to follow detailed instructions. Effective written and verbal communication skills, with the ability to collaborate in a team environment. Proficiency in Microsoft Office (Word, PowerPoint, Excel, Outlook). Strong organizational skills and ability to manage multiple tasks in a fast-paced environment Recruiting Range $29—$29 USD Benefits Offered Full-Time Employees: No-cost employee premiums for you and your eligible dependents for competitive medical, dental, vision and prescription benefits. Auto enrollment with immediate vesting of competitive company matching contributions in a 401(k) Retirement Savings Plan with several investment options. Generous Paid Time Off program that includes company holidays and a combined bank of paid sick and vacation time. Performance based Short-Term Incentives (varies by role). Access to confidential mental health resources to help you and your loved ones improve your quality of life. Personal fitness goal incentives. Family orientated benefits such as paid parental leave and support for families raising children with learning, social, behavioral challenges, or developmental disabilities. Group Rate Life and Disability Insurance. Benefits Offered Temporary/Contractors: Eligible for the relevant benefit programs offered through our partner agencies. Privacy Notice to California Applicants Applicants who need assistance or a reasonable accommodation during the hiring process may contact our team by phone at: 973-477-7090 or support@lg4me.freshdesk.com. This email and phone number will only reply to accommodation requests and is not intended for general employment inquiries. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. In addition to the above, LG believes that pay transparency is a key part of diversity, equity, and inclusion. Our salary ranges take into account many factors in making compensation decisions including but not limited to skillset, experience, licensure, certifications, internal equity, and other business needs. While we consider geographic pay differentials in final offers, because we operate in many geographies where applicable, the salary range listed may not reflect all geographic differentials applied.", "summaryDescription" : "Product Data Specialist at LG Electronics", "postedDate" : "2026-06-15T23:25:25.892", "createdAt" : "2026-06-15T23:25:25.892", "lastUpdated" : "2026-06-16T06:22:32.751", "ingestTimestamp" : "2026-06-15T23:25:25.892", "mongoId" : "6a306078f292fd229cf8e693", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 75000, "salaryAnnualMax" : 105000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305118f292fd229cef984e", "title" : "Data Product Manager", "industry" : "Product", "salary" : { "min" : 60000.0, "max" : 95000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Data Product Manager in Bulgaria, adjusted for the technology industry and remote work." }, "location" : "US", "locations" : [ "US" ], "timestamp" : "2026-06-16T12:45:12.960", "fingerprint" : "ea267628c0ec7eeee9b11ec65941d7666cd65b54508d71c49e0c4c412009fdf3", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/f070c7a8-165b-4360-a357-5c84d8821834/apply", "externalId" : "f070c7a8-165b-4360-a357-5c84d8821834", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 6, "experienceLevel" : "Mid", "technicalSkills" : "AI, ML", "professionalSkills" : [ "Data modeling", "Data interpretation", "Business insights", "Data pipelines", "Data structures", "Data quality standards", "Metric definitions", "Lineage tracking", "Methodological guardrails", "Data validation", "Data testing", "Incident management", "Data-driven products" ], "hardSkillsList" : [ "Segmentation", "Cohort analysis", "Cross-dataset reasoning", "Alternative data", "Panel data", "Complex datasets" ], "hardSkills" : [ { "name" : "Segmentation", "level" : "intermediate" }, { "name" : "Cohort analysis", "level" : "intermediate" }, { "name" : "Cross-dataset reasoning", "level" : "intermediate" }, { "name" : "Alternative data", "level" : "intermediate" }, { "name" : "Panel data", "level" : "intermediate" }, { "name" : "Complex datasets", "level" : "intermediate" } ], "majorSkills" : "Data products, AI-ready data, Business insights, Data quality", "majorSkillsList" : [ "Data products", "AI-ready data", "Business insights", "Data quality" ], "coreResponsibilities" : "Own transformation of raw datasets, Define how data is modeled, Define how data is interpreted, Define how data is delivered, Design methodologies, Maintain methodologies, Translate complex datasets into insights, Partner with Data Engineering, Ensure robust pipelines, Ensure clear definitions, Ensure well-documented data structures, Define data quality standards, Define metric definitions, Define lineage tracking, Define methodological guardrails, Establish rules for data reasoning, Lead validation processes, Lead testing processes, Lead incident management processes, Collaborate with Product teams, Collaborate with Leadership teams, Identify new use cases, Improve capabilities, Translate customer needs into solutions", "teamCollaboration" : "Cross-functionally between technical teams; With product stakeholders; With business stakeholders; With Data Engineering; With Product teams; With Leadership teams", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Alternative data; Panel data; Complex datasets; AI/ML products; LLM-based systems", "domainList" : [ "alternative-data", "panel-data", "complex-datasets", "ai-ml-products", "llm-based-systems" ], "domainSpecificKnowledge" : [ "Alternative data", "Panel data", "Complex datasets", "AI/ML products", "LLM-based systems" ], "communicationSkills" : "Simplify complex data methodologies", "documentationSkills" : "Data documentation", "continuousLearning" : "Learning & development reimbursement", "innovationCreativity" : "Entrepreneurial mindset; Builder-oriented mindset", "problemSolvingSkills" : "Methodological nuance; Ambiguity", "outcomesObjectives" : "Ensure accuracy and consistency; Ensure reliability before deployment", "qualificationsBasic" : "3-6+ years of experience, SQL proficiency, Experience owning metric definitions, Experience owning data documentation, Experience owning data quality frameworks, Background working with alternative data, Background working with panel data, Proven ability to work cross-functionally", "qualificationsPreferred" : "Exposure to AI/ML products, Exposure to LLM-based systems, Exposure to evaluation frameworks", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Own the transformation of raw alternative datasets into structured, scalable, AI-ready data products, defining how data is modeled, interpreted, and delivered to end users. Design and maintain methodologies that translate complex datasets into reliable business insights, including segmentation, cohort analysis, and cross-dataset reasoning. Partner with Data Engineering to ensure robust pipelines, clear definitions, and well-documented data structures that support product scalability. Define and enforce data quality standards, metric definitions, lineage tracking, and methodological guardrails to ensure accuracy and consistency. Establish rules for how the product reasons across datasets, including edge cases, limitations, and acceptable inference boundaries for AI-generated insights. Lead validation, testing, and incident management processes for data changes, ensuring reliability before production deployment. Collaborate with Product and Leadership teams to identify new use cases, improve capabilities, and translate customer needs into scalable data solutions. Requirements: 3–6+ years of experience in data product management, analytics, data science, product analytics, or related data-centric roles. Strong SQL proficiency and solid understanding of data pipelines, schemas, and upstream/downstream dependencies. Experience owning metric definitions, data documentation, or data quality frameworks in production environments. Background working with alternative data, panel data, or similarly complex datasets with methodological nuance and ambiguity. Proven ability to work cross-functionally between technical data teams and product or business stakeholders. Strong communication skills with the ability to simplify complex data methodologies into clear, actionable guidance. Demonstrated ability to build and ship data-driven products or frameworks in fast-moving environments. Comfortable working in ambiguity with an entrepreneurial, builder-oriented mindset. Exposure to AI/ML products, LLM-based systems, or evaluation frameworks is a strong plus. Benefits: Competitive base salary with comprehensive benefits package. Fully remote-friendly role within the United States. Flexible work hours and generous vacation policy. 401(k) retirement plan with company match. Parental leave, wellness budget, and learning & development reimbursement. High-impact, growth-oriented environment where performance drives advancement. Opportunity to work on cutting-edge AI-driven data products shaping the future of analytics. ## 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" : "Data Product Manager. Skills: Data products, AI-ready data, Business insights, Data quality. Own transformation of raw datasets. 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Houston:18333 Egret Bay Blvd S (320TX-1609)
18333 Egret Bay Blvd Ste 590
Houston, 77058

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The public vocational rehabilitation (VR) program administered through the Texas Workforce Commission helps people with disabilities to prepare for, obtain, retain, and advance in employment. MAKE A DIFFERENCE AND HELP PEOPLE WITH VR According to the Department of Labor, the unemployment rate for people with disabilities was 12.6% in 2020. This jobless rate continues to be much higher than the rate for those without disabilities. PUBLIC SERVICE IN VR IS FOR YOU… -If you want to find meaningful work and contribute to a powerful mission. For more than 100 years VR has been helping individuals with disabilities achieve their employment goals! -If you are looking for career and advancement opportunities. 38% of employees in VR have 15+ years of seniority. There are various positions with career ladders and opportunities to specialize in areas of interest: Autism, Blind & Visual Impairments, Deaf & Hard of Hearing, Brain Injury, Foster Youth, Transition Students, Veterans. -If you need a comprehensive benefits package that offers competitive pay & benefits from health plans, life insurance, retirement programs, paid leave and holidays, and longevity pay. -If you have direct VR Counseling work experience, receive higher starting salary. -If you want to advance your education with our tuition assistance program. -FREE CEUs to maintain CRC credentials and reimbursement for CRC & LPC renewals. The Texas Workforce Commission (TWC), a Family Friendly Certified Workplace, is seeking a Transition Vocational Rehabilitation Counselor (TVRC) Trainee - Sr TVRC to join the Vocational Rehabilitation Department located at 18333 Egret Bay Blvd., Houston, TX. TWC is not considering applications from individuals who require sponsorship for an employment visa, including those with H1B visas or those currently on student or postgraduate visas. You must be a Texas resident to work for the Texas Workforce Commission or willing to relocate to Texas. Benefits to working for TWC include: - Competitive starting salary: $3,582.00 - $4,940.00/month. - Salary and position level will be based on experience and demonstrated skills. - This is a career ladder position which means each level is required to meet the established career ladder requirements in order to be promoted to the next level. - External hires will be brought in as TVRC Trainee upon hire and after a successful completion of the TVRC Trainee 6-month probationary period be considered for a promotion to TVRC I to include a 5% increase - Additional benefits for active employees: https://www.ers.texas.gov/Active-Employees/Health-Benefits. - The TVRC Trainee performs highly complex (senior-level) case management work in support of the mission, goals and values of the Texas Workforce Commission. - The TVRC I - Sr TVRC performs routine to senior-level vocational rehabilitation work in support of the mission, goals and values of the Texas Workforce Commission. TVRC Trainee to Sr TVRC applies critical thinking skills and sound decision making in performance of routine rehabilitation work in the Vocational Rehabilitation (VR) program. This program assists eligible individuals with disabilities to prepare for, retain, obtain and/or advance in competitive, integrated employment and includes assisting students with disabilities to transition successfully from high school to postsecondary education and employment. The ideal candidate will perform work using the applicable policy, guidance, and the electronic case management system. The TVRC is hired by the VR Supervisor with the approval of the VR Manager, and works independently, with moderate to minimal supervision by the VR Supervisor. GENERAL DUTIES: - Provides quality Transition Services to students with disabilities, including those who may be potentially eligible - Develops and maintains relations with community referral sources, businesses, employers and schools - Collects and analyzes all information necessary to make an accurate eligibility decision (e.g. medical, psychological, school records, employment records, etc.) - Assists students in choosing appropriate employment by analyzing information to determine the student's strengths, resources, priorities, concerns, abilities, capabilities and interests, and matching that information to the current job market - Participates with the local education agencies and families of students to support students acquiring the necessary academic skills, work skills, and life skills to be independent and successful - Works collaboratively with the student to develop a plan of services designed to achieve the student’s identified employment goals - Provides opportunities for students to explore career options and to gain employment experiences - Creates and maintains student records and performs case load management - Ensures timely, cost-effective provision of services and student progress toward eventual achievement of their employment goal - Develops and implements a process leading to the eventual successful job placement for students - Develops referral sources, maintains resource information, and obtains appropriate referrals to reach blind or visually impaired students - Works with the Regional Employment Assistance Specialists and / or Business Relation Specialists to build quality relationships with businesses in order to provide career exploration experiences for students - Applies best value purchasing practices and uses available comparable benefits and services to ensure effective use of public funds - Accounts for case service expenditures and delivery of services to maintain adherence to established funding/expenditure directives - May act as a Team Leader to assigned support staff for designated caseload - Participates in training activities conducted for staff development - Performs other duties as assigned PREFERRED QUALIFICATIONS: Master’s degree with major in Rehabilitation Counseling or Clinical Rehabilitation Counseling from an accredited college or university; OR master’s degree with major in counseling or related degrees such as Special Education, Social Work, Psychology, or Human Services from an accredited college or university plus one-year related work experience. OR Master’s degree with any other major plus two years related work experience; OR Bachelor’s degree with a major in vocational rehabilitation from an accredited college or university plus one-year related work experience; OR Bachelor’s degree with major in Counseling, Education, Social Work, Sociology, Psychology, or Public Health from an accredited college or university plus two years related work experience; OR Bachelor’s degree with any other major plus three years related work experience. MINIMUM QUALIFICATIONS: Bachelor's Degree in a field of study reasonably related to vocational rehabilitation, such as vocational rehabilitation counseling, social work, psychology, disability studies, business administration, human resources, special education, supported employment, customized employment, economics, or another field that reasonably prepares individuals to work with customers and employers. No experience required. All levels: Depending on required qualifications and experience, a Vocational Rehabilitation Counselor (VRC) vacancy may be filled at any level from a VRC Trainee to Sr VRC. Factors such as education, credentials, and previous experience with the agency will be considered when establishing the hiring level and starting salary. Experience as a Vocational Rehabilitation Counselor must be in accordance with the career ladder requirements of the agency. Related work experience is defined as case management, counseling, job placement and general knowledge of disabilities. Applicants selected who do not have a master’s degree in Rehabilitation Counseling or CRC certificate or LPC credential will be required to meet the CSPD educational requirements within a time frame established upon employment. This will entail taking specific courses that focus on the professional role of a Rehabilitation Counselor. When advancing from the VRC Trainee to the VRC I level, the individual must have 1 year of paid or unpaid experience working with people with disabilities. Copy of official transcripts, certifications and/or credentials will be requested at the time of interview. These positions involve up to 75% travel, and method of transportation is the responsibility of employee. Counselors are required to travel to reach their assigned consumers on a regular basis. Thus, travel is required for this position. Duties also include the ability to lift/carry 10 pounds. VETERANS: Use your military skills to qualify for this position or other jobs! Go to www.texasskillstowork.com to translate your military work experience and training courses into civilian job terms, qualifications and skill sets. Also, you can compare this position to military occupations (MOS) at the Texas State Auditor's Office by pasting this link into your browser: http://www.hr.sao.texas.gov/Compensation/MilitaryCrosswalk/MOSC_SocialServices.pdf. HOW TO APPLY: To be considered, please complete a State of Texas Application for Employment and apply online at www.workintexas.com or on Taleo ( Job Search ). TWC is not considering applications from individuals who require sponsorship for an employment visa, including those with H1B visas or those currently on student or postgraduate visas. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire. A position utilizing this classification will be designated as security sensitive according to the Texas Labor Code, Section 301.042. 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This is a special place with a unique combination of brilliance, spirit and just all-around great people. Here, if you’re willing to do more, your career can take off. And since software plays a central role in everyone’s lives, you’ll be part of an important mission. Thousands of customers, including the majority of the Fortune 100, trust JFrog to manage, accelerate, and secure their software delivery from code to production -- a concept we call “liquid software.” Wouldn't it be amazing if you could join us in our journey? We are looking for a dynamic, analytical, and customer-focused Senior Business Value Consultant, to join our Sales Organization. In this role you will work closely with our solutions engineers, sales teams, and customers, building strong business cases focused on ROI, NPV, and Payback metrics. Candidates should have in-depth analysis and presentation skills along with the ability to think dynamically about problems, products, and solutions. As a Senior Business Value Consultant in JFrog you will... Partner with our enterprise sales teams and customers to articulate the value of JFrog solutions, focusing on business outcomes and ROI. Lead, build, and deliver compelling business cases that translate complex technology solutions into tangible business benefits. Enable enterprise and midmarket sales teams on business value consulting tools and processes to scale the value consulting practice. Collaborate with product and marketing teams on translating product functionality and features into expected value to customers and maintain messaging alignment. Keep up to date with market research and data to continuously validate and refine assumptions in value calculations. Analyze the value and differentiate between Self Hosted and SaaS solutions using uptime productivity, TCO, and Business Value. To be a Senior Business Value Consultant in JFrog you need... Bachelor's degree; MBA is preferred. A minimum of 5 years of experience in a business value, management consulting, value consulting, or pre-sales/solution engineering capacity. Experience in a technology-focused SaaS sales environment, preferably with cloud economics, DevOps, cybersecurity, or software supply chain solutions. Financial modeling and spreadsheet-based data analysis skills, with experience building ROI and TCO analyses, particularly in situations where clean customer data is scarce. Exceptional discovery skills: you know how to ask the right questions to uncover pain, priorities, and value levers without making customers feel interrogated. Strong communication and presentation skills across audiences — you can turn a data-driven analysis into a compelling narrative for a CFO, facilitate a technical workshop, or navigate executive conversations across cultures and geographies with equal confidence Experience working with enterprise or strategic accounts in complex, multi-stakeholder sales cycles. WHAT JFROG CAN OFFER… At JFrog, base salary is only one component of our compensation package. This position has a base salary range between $150,000 to $190,000. Base salary will be based on your skills, qualifications, experience and location. Additionally, this role may be eligible for discretionary bonuses or commission payments. This position also includes an equity package of restricted stock units (RSU). In addition, JFrog employees are eligible to participate in our Employee Stock Purchase Plan. JFrog provides employees comprehensive benefits including medical, dental, vision, retirement, wellness and much more! JFrog embraces hybrid work: 3 days in office / 2 days remote. Open to Sunnyvale, Atlanta, or Seattle, but Sunnyvale is preferred. JFrog is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status or any other category protected by law.", "summaryDescription" : "Senior Business Value Consultant at JFrog. Skills: Business value, ROI, Financial modeling. Partner with sales teams. 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Arlington, Virginia, United States; Seattle, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Cloud computing, CRM software", "professionalSkills" : [ "Sales strategy", "Business development", "Client relationship management", "Revenue generation", "Deal closure", "Consultative selling", "Value proposition", "Forecasting", "Pipeline management" ], "hardSkillsList" : [ "Sales forecasting", "Pipeline management", "Value proposition development" ], "hardSkills" : [ { "name" : "Sales forecasting", "level" : "intermediate" }, { "name" : "Pipeline management", "level" : "intermediate" }, { "name" : "Value proposition development", "level" : "intermediate" } ], "majorSkills" : "Sales, Cloud computing, Customer experience", "majorSkillsList" : [ "Sales", "Cloud computing", "Customer experience" ], "coreResponsibilities" : "Develop and execute sales strategies, Identify and pursue new business opportunities, Build and maintain strong client relationships, Understand client needs and pain points, Articulate the value proposition of Amazon Connect, Drive revenue growth and achieve sales targets, Manage the sales pipeline from lead generation to, Collaborate with internal teams to ensure customer success, Provide market feedback to product teams, Stay updated on industry trends and competitive landscape", "teamCollaboration" : "Internal teams; Product teams; Sales leadership", "domainKnowledge" : "Cloud computing; Customer experience; Contact center solutions; Amazon Connect", "domainList" : [ "cloud-computing", "customer-experience", "contact-center-solutions", "amazon-connect" ], "domainSpecificKnowledge" : [ "Cloud computing", "Customer experience", "Contact center solutions", "Amazon Connect" ], "toolProficiency" : [ "CRM software", "Salesforce" ], "communicationSkills" : "Client presentations; Value proposition articulation", "continuousLearning" : "Industry trends; Competitive landscape", "problemSolvingSkills" : "Client needs analysis; Solution development", "outcomesObjectives" : "Achieve sales targets; Drive revenue growth; Expand market share", "qualificationsBasic" : "Bachelor's degree or equivalent practical experience, 5+ years of experience in sales, business development, or related roles, 3+ years of experience in cloud computing or related technical fields, Experience with CRM software", "qualificationsPreferred" : "Master's degree or MBA, Experience with Amazon Connect or other CCaaS solutions, Experience with Salesforce", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon Web Services | Cloud Economics Are you a customer-obsessed business development leader with a track record of building new strategic motions and translating complex financial models into executive decisions? Do you have the depth to quantify the ROI of AI-powered contact center transformation — and the influence to drive customer commitment at the C-suite level? Are you energized by designing the financial models and methodologies that become the standard for how AWS sells AI adoption at scale? Join the AWS Cloud Economics Connect team as a Senior Business Development Manager. As AWS and Amazon Connect continue to grow rapidly, we are seeking a Senior Business Development Manager to join the Cloud Economics Connect team. In this role, you will design, build, and own the financial models and methodologies that power Amazon Connect's AI adoption motion — creating the economic foundation that enables AWS field teams to articulate the value of Connect Customer AI with consistency, rigor, and scale. You will work directly with high-value Connect customers globally, partnering with cross-functional teams of AI Specialists, Customer Success Specialists, AI Architects, and Data Scientists who embed with customers in focused deployment cycles to compress time-to-value. Your models and methodologies will be the financial backbone of every customer engagement. Key job responsibilities • Design and build the core financial models and ROI methodologies used across all Amazon Connect AI adoption engagements, establishing a repeatable, scalable framework for quantifying the business impact of transitioning into Amazon Connect Customer AI. • Develop customer-specific value hypotheses by assessing baseline contact center operations, AI optimization potential, and projected business outcomes — producing financial analyses that are rigorous enough to withstand CFO scrutiny and clear enough to drive executive alignment. • Build and continuously refine a suite of ROI tools, playbooks, and benchmarks that enable value conversations at scale — multiplying your methodology well beyond direct engagements. • Drive executive-level value presentations alongside AI Specialists, building alignment with customer CX and AI leadership on target-state economics, business objectives, and the financial bridge needed to close the gap between adoption and realized value. • Define the measurement framework for AI optimization impact — establishing the methodology for quantifying containment rates from agentic self-service, handle time reduction from agent assist, contact deflection, and cost-per-serviced-contact improvement across a diverse customer base. • Own the business development reporting framework, designing the metrics, models, and tracking methodology that measure program financial outcomes and inform product roadmap prioritization, program scaling, and executive business reviews. A day in the life The Senior Business Development Manager on the Cloud Economics Connect team is the architect of the financial models and methodologies that drive Amazon Connect's AI adoption. On a given day, you might be designing a new ROI framework for a strategic Connect customer, pressure-testing financial models against revenue neutrality constraints, or sitting alongside an AI Specialist in a VP-level customer meeting to walk through the economics of an AI adoption roadmap you built. You turn contact center economics — containment rates, handle time reduction, cost-per-contact improvement, ARR impact — into financial models that are both analytically defensible and executively compelling. You think beyond the individual engagement — your goal is to build methodologies that scale, so that every AWS field team member can walk into a Connect AI conversation armed with the same rigor and confidence. You don't wait to be asked — you identify the gaps in how we measure and communicate value, build the models that close them, and set the standard for the team. About the team The Customer Experience specialist team helps customers learn about and adopt Amazon Connect. We are one of the fastest growing AWS services and a leader in the Contact Center as a Service (CCaaS) category. As an AI-powered cloud contact center, Amazon Connect delivers a rapid pace of innovation that enables companies to unlock bar raising experiences for customers and agents at lower cost. Basic Qualifications: - 5+ years of Go-To-Market, Business Development, Sales, or Consulting experience - 5+ years of working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience - 5+ years of working with Business Application Technologies, including, but not limited to End User Compute (EUC), Supply Chain, Contact Center as a Service, Consumer Data Applications, Encrypted Communications, and/or Communication Developer Services experience - 5+ years of working with Core Cloud Technology Services, including, but not limited to Compute, Edge, Hybrid, Security, and/or Networking experience - 5+ years of working with Enterprise Application Modernization and Migration technologies, including, but not limited to, Mainframe, Serverless, Containers, or Cloud Operations experience Preferred Qualifications: - Experience interpreting data and making business recommendations - Experience identifying, negotiating, and executing complex legal agreements - Experience with Contact Center technology transformation initiatives and the impact AI drivers - Deep understanding of cloud technologies, including public and hybrid cloud platforms. - Financial analysis spreadsheet skills and presentation (Powerpoint) creation/delivery skills 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 - 162,700.00 - 220,200.00 USD annually USA, VA, Arlington - 147,900.00 - 200,100.00 USD annually USA, WA, Seattle - 147,900.00 - 200,100.00 USD annually", "summaryDescription" : "Senior Business Value Specialist - Amazon Connect, Customer Experience at Amazon Web Services, Inc.. Skills: Sales, Cloud computing, Customer experience. Develop and execute sales strategies. Identify and pursue new business opportunities", "postedDate" : "2026-06-15T00:00:00.000", "createdAt" : "2026-06-15T21:58:16.506", "lastUpdated" : "2026-06-16T06:14:26.135", "ingestTimestamp" : "2026-06-15T21:58:16.506", "mongoId" : "6a30564bf292fd229cf26ee9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10448722/apply", "salaryAnnualMin" : 162700, "salaryAnnualMax" : 220200, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Sales forecasting", "Pipeline management", "Value proposition development", "Sales", "Cloud computing", "Customer experience", "Sales strategy", "Business development", "Client relationship management", "Revenue generation", "Deal closure", "Consultative selling", "Value proposition", "Forecasting", "Contact center solutions", "Amazon Connect", "CRM software", "Salesforce" ], "skillCount" : 18, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305126f292fd229cefb163", "title" : "Cleared On Site Mid-Level Business Analyst", "company" : "SMX", "salary" : { "min" : 79300.0, "max" : 133100.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Hollywood, Maryland, United States", "locations" : [ "Hollywood", "Maryland", "United States" ], "certifications" : [ "AWS Certified Developer", "Certified Kubernetes Administrator" ], "timestamp" : "2026-06-16T09:30:33.593", "fingerprint" : "5f471fc3bb5813535f6712e9cd7d62dcbfb2ee7c22092cd887a667ef17eb1e65", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.smxtech.com/careers/?gh_jid=7771620003", "externalId" : "7771620003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Washington", "state" : "District of Columbia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8950982,-77.0363849" } ], "locationText" : "Washington, District of Columbia, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 5, "experienceLevel" : "Mid-Level", "technicalSkills" : "Python, Java, C++, JavaScript, SQL, AWS, Azure, GCP, Docker, Kubernetes, CI/CD, Linux", "professionalSkills" : [ "System design", "Architecture design", "Agile methodologies" ], "hardSkillsList" : [ "Software development", "Cloud computing", "DevOps practices", "Data structures", "Algorithms" ], "hardSkills" : [ { "name" : "Software development", "level" : "intermediate" }, { "name" : "Cloud computing", "level" : "intermediate" }, { "name" : "DevOps practices", "level" : "intermediate" }, { "name" : "Data structures", "level" : "intermediate" }, { "name" : "Algorithms", "level" : "intermediate" } ], "majorSkills" : "Software Development, Cloud Engineering, DevOps", "majorSkillsList" : [ "Software Development", "Cloud Engineering", "DevOps" ], "coreResponsibilities" : "Design software systems, Develop software solutions, Implement CI/CD pipelines, Manage cloud infrastructure, Automate processes, Troubleshoot issues, Collaborate with teams, Mentor junior engineers", "teamCollaboration" : "Cross-functional teams; Agile development teams", "projectManagementSkills" : [ "Agile", "Scrum" ], "domainKnowledge" : "Cloud-native architecture; Microservices; Distributed systems", "domainList" : [ "cloud-native-architecture", "microservices", "distributed-systems" ], "domainSpecificKnowledge" : [ "Cloud-native architecture", "Microservices", "Distributed systems" ], "toolProficiency" : [ "Git", "JIRA", "Jenkins", "Ansible", "Terraform" ], "communicationSkills" : "Technical documentation; Presentations", "documentationSkills" : "Technical writing", "continuousLearning" : "Professional development; Training opportunities", "innovationCreativity" : "New technology adoption; Process improvement", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "specialRequirements" : "Security clearance", "outcomesObjectives" : "Deliver high-quality software; Improve system reliability; Enhance deployment efficiency", "qualificationsBasic" : "5+ years experience, Bachelor's degree, Security clearance", "qualificationsPreferred" : "Master's degree, Agile experience, Cloud certifications", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "SMX is seeking a highly motivated Business Analyst – Mid to support a mission-critical federal program in Washington, DC. This individual will work directly with government stakeholders, mission users, product owners, and technical teams to capture, analyze, and document business requirements that support enterprise modernization, mission operations, and technology transformation initiatives. The selected candidate will serve as a key liaison between business and technical stakeholders, ensuring mission needs are accurately translated into actionable requirements and delivered solutions. This role requires strong analytical, communication, and problem-solving skills, as well as experience supporting Agile development teams, business process improvement efforts, and complex federal IT environments. This position will be on site in Washington DC and requires an active Top-Secret SCI clearance. Essential Duties & Responsibilities: Lead requirements gathering, analysis, and documentation activities with government stakeholders and mission users Facilitate stakeholder meetings, workshops, interviews, and working sessions to identify and prioritize business needs Develop and maintain business requirements documents, user stories, acceptance criteria, workflow diagrams, process maps, and concepts of operation (CONOPS) Support Product Owners and development teams in backlog creation, refinement, prioritization, and sprint planning activities Analyze current business processes and identify opportunities for operational improvements, automation, and increased efficiency Translate business needs into functional and non-functional system requirements for technical implementation teams Ensure user perspectives and mission requirements are accurately represented throughout the system development lifecycle Support user acceptance testing (UAT), validation activities, and requirements traceability efforts Develop executive briefings, status reports, recommendations, and decision-support materials for government leadership Collaborate with developers, engineers, architects, testers, and program leadership to ensure successful solution delivery Document business rules, workflows, dependencies, assumptions, risks, and operational impacts associated with proposed solutions Support change management, user adoption, and process improvement initiatives across the program Required Skills & Experience Active TS/SCI clearance required Minimum of 5 years of professional experience supporting business analysis, requirements management, systems implementation, or process improvement initiatives Experience gathering, documenting, and managing business and functional requirements within a federal government environment Experience developing user stories, acceptance criteria, process flows, workflow diagrams, and business requirements documentation Experience supporting Agile software development methodologies and cross-functional delivery teams Ability to analyze, interpret, and decompose complex business problems into actionable requirements Strong analytical and quantitative problem-solving skills Experience facilitating stakeholder meetings, requirements workshops, and business process discussions Strong written and verbal communication skills with the ability to engage both technical and non-technical audiences Experience utilizing collaboration and project management tools such as Jira, Confluence, Azure DevOps, or similar platforms Ability to manage multiple priorities and work independently in a dynamic mission environment Desired Skills & Experience Bachelor’s degree in Business Administration, Information Systems, Data Analytics, Management, Engineering, or a related field Experience supporting federal law enforcement, intelligence community, homeland security, or national security programs Experience supporting enterprise modernization, digital transformation, or business process reengineering initiatives Familiarity with data analytics, reporting environments, and data governance principles Experience supporting cloud-based applications and enterprise technology platforms Knowledge of SAFe Agile, Scrum, or other Agile frameworks Certified Business Analysis Professional (CBAP), PMI-PBA, SAFe, Scrum, or related certification preferred Experience supporting requirements traceability, testing, and implementation Application Deadline: 9-4-2026 # LI-SA1 The SMX salary determination process takes into account a number of factors, including but not limited to, geographic location, Federal Government contract labor categories, relevant prior work experience, specific skills, education and certifications. At SMX, one of our Core Values is to Invest in Our People so we offer a competitive mix of compensation, learning & development opportunities, and benefits. Some key components of our robust benefits include health insurance, paid leave, and retirement. The proposed salary for this position is: $79,300—$133,100 USD At SMX®, we are a team of technical and domain experts dedicated to enabling your mission. From priority national security initiatives for the DoD to highly assured and compliant solutions for healthcare, we understand that digital transformation is key to your future success. We share your vision for the future and strive to accelerate your impact on the world. We bring both cutting edge technology and an expansive view of what’s possible to every engagement. Our delivery model and unique approaches harness our deep technical and domain knowledge, providing forward-looking insights and practical solutions to power secure mission acceleration. SMX is an Equal Opportunity employer including disabilities and veterans. Selected applicant may be subject to a background investigation and/or education verification. SMX does not sponsor a new applicant for employment authorization or immigration related support for this position (i. e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).", "summaryDescription" : "Cleared On Site Mid-Level Business Analyst at SMX. Skills: Software Development, Cloud Engineering, DevOps. Design software systems. 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Product leadership; Business stakeholders; Engineering teams; UX researchers; Designers; Healthcare professionals; Legal stakeholders; Compliance stakeholders; Security stakeholders; Risk stakeholders", "projectManagementSkills" : [ "Agile", "Roadmap planning", "Sprint planning", "Backlog refinement" ], "domainKnowledge" : "Kidney care platform; Healthcare experiences; Clinical capabilities; Healthcare technology; Clinical platforms; Regulated industries; EHR; Clinical workflows; Healthcare operations; Nephrology", "domainList" : [ "kidney-care-platform", "healthcare-experiences", "clinical-capabilities", "healthcare-technology", "clinical-platforms", "regulated-industries", "ehr", "clinical-workflows", "healthcare-operations", "nephrology" ], "domainSpecificKnowledge" : [ "Kidney care platform", "Healthcare experiences", "Clinical capabilities", "Healthcare technology", "Clinical platforms", "Regulated industries", "EHR", "Clinical workflows", "Healthcare operations", "Nephrology" ], "toolProficiency" : [ "Jira", "Confluence", "Azure DevOps" ], "communicationSkills" : "Stakeholder management; Facilitation", "documentationSkills" : "Product requirements; User stories; Acceptance criteria; Process documentation", "continuousLearning" : "Internal development programmes; Training; Certifications; Coaching; Online learning platforms", "problemSolvingSkills" : "Analytical thinking; Problem-solving skills; Translate business challenges into actionable product solutions", "outcomesObjectives" : "Delivering meaningful product outcomes; Building partnerships across teams; Driving data-informed decisions; Contributing to successful delivery of scalable healthcare technology solutions", "qualificationsBasic" : "Bachelor’s degree in Business, Technology, Engineering, Healthcare, Information Systems, or related field, 4+ years of experience in Product Management, Product Ownership, Business Analysis, or related digital product roles, Experience working with digital products, web applications, or mobile applications throughout the product lifecycle, Experience gathering, documenting, and refining business and product requirements, Experience writing user stories, defining acceptance criteria, and supporting backlog management activities, Proven ability to collaborate effectively with cross-functional teams, including Product, Engineering, UX, Operations, and Business stakeholders, Analytical thinking and problem-solving skills, Excellent communication, facilitation, and stakeholder management skills, Experience working in Agile delivery environments and participating in sprint planning, backlog refinement, and roadmap activities, Ability to manage multiple priorities and adapt effectively in fast-changing environments, Business acumen and customer-centric mindset", "qualificationsPreferred" : "Experience working in healthcare, health technology, clinical platforms, or regulated industries, Experience with EHR, clinical workflows, healthcare operations, or nephrology-related domains, Experience working with product management tools such as Jira, Confluence, Azure DevOps, or similar platforms, Experience creating business cases, presentations, process documentation, or complex analytical models, Product Owner, Agile, Scrum, Business Analysis, or Product Management certifications are considered a plus", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change. By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses. From prototype to real-world impact - be part of a global shift by doing work that matters. About the Role Our digital product team plays a critical role in enabling innovative healthcare experiences and supporting the evolution of a leading kidney care platform. We are looking for a Product Manager / Business Analyst who is passionate about solving complex business problems through digital products and data-driven decision making. In this role, you will work closely with product leaders, business stakeholders, engineering teams, UX researchers, designers, and healthcare professionals to define, validate, and deliver impactful digital solutions. You will help drive product outcomes, support strategic initiatives, and contribute to the evolution of critical clinical capabilities. What You'll Do Product Discovery & Strategy * Partner with product leadership to refine product vision, strategy, and roadmap priorities. * Collaborate with UX, research, engineering, and business stakeholders to identify user needs, pain points, and opportunities. * Conduct user interviews, stakeholder workshops, shadowing sessions, and discovery activities. * Translate business objectives into actionable product opportunities and solution hypotheses. * Contribute to the definition and validation of user-centric experiences through rapid feedback and usability testing. Product Delivery & Execution * Support product initiatives from discovery through delivery. * Collaborate with engineering, design, and business teams to ensure solutions achieve desired business outcomes. * Facilitate story mapping sessions and support backlog refinement activities. * Define and document product requirements, user stories, and acceptance criteria. * Identify and manage dependencies across teams and product areas. * Participate in roadmap planning, sprint planning, and release activities. * Partner with legal, compliance, security, and risk stakeholders to ensure products meet regulatory and organizational requirements. * Support communication and enablement activities related to new product capabilities and releases. Data-Driven Product Management * Define, track, and monitor OKRs and product success metrics. * Use quantitative and qualitative data to identify opportunities and validate decisions. * Leverage product analytics and user insights to continuously improve product performance. * Evaluate and prioritize product features based on customer value, business impact, and strategic alignment. * Contribute to outcome-focused product decisions that deliver measurable value to users and stakeholders. What Success Looks Like * Delivering meaningful product outcomes that solve real user and business problems. * Building strong partnerships across product, engineering, UX, and business teams. * Driving data-informed decisions that improve customer experiences and operational effectiveness. * Contributing to the successful delivery of scalable healthcare technology solutions. ## Qualifications Required Qualifications * Bachelor’s degree in Business, Technology, Engineering, Healthcare, Information Systems, or a related field. * 4+ years of experience in Product Management, Product Ownership, Business Analysis, or related digital product roles. * Experience working with digital products, web applications, or mobile applications throughout the product lifecycle. * Strong experience gathering, documenting, and refining business and product requirements. * Experience writing user stories, defining acceptance criteria, and supporting backlog management activities. * Proven ability to collaborate effectively with cross-functional teams, including Product, Engineering, UX, Operations, and Business stakeholders. * Strong analytical thinking and problem-solving skills with the ability to translate business challenges into actionable product solutions. * Excellent communication, facilitation, and stakeholder management skills. * Experience working in Agile delivery environments and participating in sprint planning, backlog refinement, and roadmap activities. * Ability to manage multiple priorities and adapt effectively in fast-changing environments. * Strong business acumen and customer-centric mindset. Preferred Qualifications * Experience working in healthcare, health technology, clinical platforms, or regulated industries. * Experience supporting product discovery activities, user interviews, workshops, journey mapping, or usability testing. * Familiarity with OKRs, product metrics, and outcome-based product management practices. * Experience leveraging analytics and user insights to drive product decisions. * Experience building or supporting products from concept through launch. * Knowledge of Electronic Health Records (EHR), clinical workflows, healthcare operations, or nephrology-related domains. * Experience working with product management tools such as Jira, Confluence, Azure DevOps, or similar platforms. * Experience creating business cases, presentations, process documentation, or complex analytical models. * Product Owner, Agile, Scrum, Business Analysis, or Product Management certifications are considered a plus. Key Competencies * Product Thinking * Stakeholder Management * Requirements Analysis * Product Discovery * Agile Delivery * User Story Development * Data-Driven Decision Making * Problem Solving * Cross-Functional Collaboration * Customer Focus * Strategic Thinking * Communication & Facilitation ## Additional Information Discover some of the global benefits that empower our people to become the best version of themselves: * Finance: Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus; * Career Development : Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership; * Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences; * Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme; * Health: Global internal wellbeing programme, access to wellbeing apps; * Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations. At Endava, we’re committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives—because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.", "summaryDescription" : "Product Manager / Business Analyst at Endava. Skills: Product strategy, Product delivery, Data analysis. Partner with product leadership to refine product vision,. Collaborate with UX, research, engineering, and business stakeholders", "postedDate" : "2026-06-15T21:03:24.000", "createdAt" : "2026-06-16T01:40:18.190", "lastUpdated" : "2026-06-16T08:54:12.798", "ingestTimestamp" : "2026-06-16T01:40:18.190", "mongoId" : "6a30780cf292fd229c0291db", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Business analysis", "Product management", "Product ownership", "Stakeholder management", "Requirements gathering", "User story writing", "Backlog management", "Agile methodologies", "Data analysis", "Product strategy", "Product delivery", "Roadmap planning", "User stories", "Requirements analysis", "Product discovery", "Agile delivery", "User story development", "Data-driven decision making", "Problem solving", "Strategic thinking", "Agile", "Sprint planning", "Backlog refinement", "Kidney care platform", "Healthcare experiences", "Clinical capabilities", "Healthcare technology", "Clinical platforms", "Regulated industries", "EHR", "Clinical workflows", "Healthcare operations", "Nephrology", "Product Owner certification", "Agile certification", "Scrum certification", "Business Analysis certification", "Product Management certification", "Jira", "Confluence", "Azure DevOps" ], "skillCount" : 41, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3071e9f292fd229cffb361", "title" : "Product Manager / Business Analyst", "company" : "Endava", "industry" : "Information Technology And Services", "salary" : { "min" : 550000.0, "max" : 850000.0, "currency" : "MXN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Product Manager/Business Analyst in Monterrey, Mexico, adjusted for the healthcare industry and company size." }, "location" : "Monterrey, Nuevo León, MX", "locations" : [ "Monterrey", "Nuevo León", "MX" ], "certifications" : [ "Product Owner certification", "Agile certification", "Scrum certification", "Business Analysis certification", "Product Management certification" ], "timestamp" : "2026-06-16T14:40:19.585", "fingerprint" : "8c9dc1ed1c6d8f4df25a9586cf5f3c085065588f78e32204d622216224612884", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Endava/744000132284525-product-manager-business-analyst", "externalId" : "744000132284525", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Monterrey", "state" : "Nuevo León", "country" : "Mexico", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "25.6802019,-100.3152580" } ], "locationText" : "Monterrey, Nuevo León, Mexico", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "professionalSkills" : [ "Product strategy", "Roadmap planning", "User stories", "Requirements analysis", "Product discovery", "Agile delivery", "User story development", "Data-driven decision making", "Problem solving", "Strategic thinking" ], "hardSkillsList" : [ "Business analysis", "Product management", "Product ownership", "Stakeholder management", "Requirements gathering", "User story writing", "Backlog management", "Agile methodologies", "Usability testing", "Data analysis" ], "hardSkills" : [ { "name" : "Business analysis", "level" : "intermediate" }, { "name" : "Product management", "level" : "intermediate" }, { "name" : "Product ownership", "level" : "intermediate" }, { "name" : "Stakeholder management", "level" : "intermediate" }, { "name" : "Requirements gathering", "level" : "intermediate" }, { "name" : "User story writing", "level" : "intermediate" }, { "name" : "Backlog management", "level" : "intermediate" }, { "name" : "Agile methodologies", "level" : "intermediate" }, { "name" : "Usability testing", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" } ], "majorSkills" : "Product strategy, Product delivery, Data analysis", "majorSkillsList" : [ "Product strategy", "Product delivery", "Data analysis" ], "coreResponsibilities" : "Partner with product leadership to refine product vision,, Collaborate with UX, research, engineering, and business stakeholders, Conduct user interviews, stakeholder workshops, shadowing sessions, and, Translate business objectives into actionable product opportunities and, Contribute to the definition and validation of user-centric, Support product initiatives from discovery through delivery, Collaborate with engineering, design, and business teams to, Facilitate story mapping sessions and support backlog refinement, Define and document product requirements, user stories, and, Identify and manage dependencies across teams and product, Participate in roadmap planning, sprint planning, and release, Partner with legal, compliance, security, and risk stakeholders, Support communication and enablement activities related to new, Define, track, and monitor OKRs and product success, Use quantitative and qualitative data to identify opportunities, Leverage product analytics and user insights to continuously, Evaluate and prioritize product features based on customer, Contribute to outcome-focused product decisions that deliver measurable", "teamCollaboration" : "Cross-functional teams; Product leadership; Business stakeholders; Engineering teams; UX researchers; Designers; Healthcare professionals; Legal stakeholders; Compliance stakeholders; Security stakeholders; Risk stakeholders", "projectManagementSkills" : [ "Agile", "Roadmap planning", "Sprint planning", "Backlog refinement" ], "domainKnowledge" : "Kidney care platform; Healthcare experiences; Clinical capabilities; Healthcare technology; Clinical platforms; Regulated industries; EHR; Clinical workflows; Healthcare operations; Nephrology", "domainList" : [ "kidney-care-platform", "healthcare-experiences", "clinical-capabilities", "healthcare-technology", "clinical-platforms", "regulated-industries", "ehr", "clinical-workflows", "healthcare-operations", "nephrology" ], "domainSpecificKnowledge" : [ "Kidney care platform", "Healthcare experiences", "Clinical capabilities", "Healthcare technology", "Clinical platforms", "Regulated industries", "EHR", "Clinical workflows", "Healthcare operations", "Nephrology" ], "toolProficiency" : [ "Jira", "Confluence", "Azure DevOps" ], "communicationSkills" : "Stakeholder management; Facilitation", "documentationSkills" : "Product requirements; User stories; Acceptance criteria; Process documentation", "continuousLearning" : "Internal development programmes; Training; Certifications; Coaching; Online learning platforms", "innovationCreativity" : "Digital products; Digital experiences; Dynamic platforms", "problemSolvingSkills" : "Analytical thinking; Problem-solving skills; Translate business challenges into actionable product solutions", "outcomesObjectives" : "Delivering meaningful product outcomes; Building partnerships across teams; Driving data-informed decisions; Contributing to successful delivery of scalable healthcare technology solutions", "qualificationsBasic" : "Bachelor’s degree in Business, Technology, Engineering, Healthcare, Information Systems, or related field, 4+ years of experience in Product Management, Product Ownership, Business Analysis, or related digital product roles, Experience working with digital products, web applications, or mobile applications throughout the product lifecycle, Experience gathering, documenting, and refining business and product requirements, Experience writing user stories, defining acceptance criteria, and supporting backlog management activities, Proven ability to collaborate effectively with cross-functional teams, including Product, Engineering, UX, Operations, and Business stakeholders, Analytical thinking and problem-solving skills, Excellent communication, facilitation, and stakeholder management skills, Experience working in Agile delivery environments and participating in sprint planning, backlog refinement, and roadmap activities, Ability to manage multiple priorities and adapt effectively in fast-changing environments, Business acumen and customer-centric mindset", "qualificationsPreferred" : "Experience working in healthcare, health technology, clinical platforms, or regulated industries, Experience with EHR, clinical workflows, healthcare operations, or nephrology-related domains, Experience working with product management tools such as Jira, Confluence, Azure DevOps, or similar platforms, Experience creating business cases, presentations, process documentation, or complex analytical models, Product Owner, Agile, Scrum, Business Analysis, or Product Management certifications are considered a plus", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change. By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses. From prototype to real-world impact - be part of a global shift by doing work that matters. About the Role Our digital product team plays a critical role in enabling innovative healthcare experiences and supporting the evolution of a leading kidney care platform. We are looking for a Product Manager / Business Analyst who is passionate about solving complex business problems through digital products and data-driven decision making. In this role, you will work closely with product leaders, business stakeholders, engineering teams, UX researchers, designers, and healthcare professionals to define, validate, and deliver impactful digital solutions. You will help drive product outcomes, support strategic initiatives, and contribute to the evolution of critical clinical capabilities. What You'll Do Product Discovery & Strategy * Partner with product leadership to refine product vision, strategy, and roadmap priorities. * Collaborate with UX, research, engineering, and business stakeholders to identify user needs, pain points, and opportunities. * Conduct user interviews, stakeholder workshops, shadowing sessions, and discovery activities. * Translate business objectives into actionable product opportunities and solution hypotheses. * Contribute to the definition and validation of user-centric experiences through rapid feedback and usability testing. Product Delivery & Execution * Support product initiatives from discovery through delivery. * Collaborate with engineering, design, and business teams to ensure solutions achieve desired business outcomes. * Facilitate story mapping sessions and support backlog refinement activities. * Define and document product requirements, user stories, and acceptance criteria. * Identify and manage dependencies across teams and product areas. * Participate in roadmap planning, sprint planning, and release activities. * Partner with legal, compliance, security, and risk stakeholders to ensure products meet regulatory and organizational requirements. * Support communication and enablement activities related to new product capabilities and releases. Data-Driven Product Management * Define, track, and monitor OKRs and product success metrics. * Use quantitative and qualitative data to identify opportunities and validate decisions. * Leverage product analytics and user insights to continuously improve product performance. * Evaluate and prioritize product features based on customer value, business impact, and strategic alignment. * Contribute to outcome-focused product decisions that deliver measurable value to users and stakeholders. What Success Looks Like * Delivering meaningful product outcomes that solve real user and business problems. * Building strong partnerships across product, engineering, UX, and business teams. * Driving data-informed decisions that improve customer experiences and operational effectiveness. * Contributing to the successful delivery of scalable healthcare technology solutions. ## Qualifications Required Qualifications * Bachelor’s degree in Business, Technology, Engineering, Healthcare, Information Systems, or a related field. * 4+ years of experience in Product Management, Product Ownership, Business Analysis, or related digital product roles. * Experience working with digital products, web applications, or mobile applications throughout the product lifecycle. * Strong experience gathering, documenting, and refining business and product requirements. * Experience writing user stories, defining acceptance criteria, and supporting backlog management activities. * Proven ability to collaborate effectively with cross-functional teams, including Product, Engineering, UX, Operations, and Business stakeholders. * Strong analytical thinking and problem-solving skills with the ability to translate business challenges into actionable product solutions. * Excellent communication, facilitation, and stakeholder management skills. * Experience working in Agile delivery environments and participating in sprint planning, backlog refinement, and roadmap activities. * Ability to manage multiple priorities and adapt effectively in fast-changing environments. * Strong business acumen and customer-centric mindset. Preferred Qualifications * Experience working in healthcare, health technology, clinical platforms, or regulated industries. * Experience supporting product discovery activities, user interviews, workshops, journey mapping, or usability testing. * Familiarity with OKRs, product metrics, and outcome-based product management practices. * Experience leveraging analytics and user insights to drive product decisions. * Experience building or supporting products from concept through launch. * Knowledge of Electronic Health Records (EHR), clinical workflows, healthcare operations, or nephrology-related domains. * Experience working with product management tools such as Jira, Confluence, Azure DevOps, or similar platforms. * Experience creating business cases, presentations, process documentation, or complex analytical models. * Product Owner, Agile, Scrum, Business Analysis, or Product Management certifications are considered a plus. Key Competencies * Product Thinking * Stakeholder Management * Requirements Analysis * Product Discovery * Agile Delivery * User Story Development * Data-Driven Decision Making * Problem Solving * Cross-Functional Collaboration * Customer Focus * Strategic Thinking * Communication & Facilitation ## Additional Information Discover some of the global benefits that empower our people to become the best version of themselves: * Finance: Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus; * Career Development : Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership; * Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences; * Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme; * Health: Global internal wellbeing programme, access to wellbeing apps; * Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations. At Endava, we’re committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives—because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.", "summaryDescription" : "Product Manager / Business Analyst at Endava. Skills: Product strategy, Product delivery, Data analysis. Partner with product leadership to refine product vision,. Collaborate with UX, research, engineering, and business stakeholders", "postedDate" : "2026-06-15T21:03:24.000", "createdAt" : "2026-06-16T01:35:22.056", "lastUpdated" : "2026-06-16T14:40:19.585", "ingestTimestamp" : "2026-06-16T01:35:22.056", "mongoId" : "6a3071e9f292fd229cffb361", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Business analysis", "Product management", "Product ownership", "Stakeholder management", "Requirements gathering", "User story writing", "Backlog management", "Agile methodologies", "Usability testing", "Data analysis", "Product strategy", "Product delivery", "Roadmap planning", "User stories", "Requirements analysis", "Product discovery", "Agile delivery", "User story development", "Data-driven decision making", "Problem solving", "Strategic thinking", "Agile", "Sprint planning", "Backlog refinement", "Kidney care platform", "Healthcare experiences", "Clinical capabilities", "Healthcare technology", "Clinical platforms", "Regulated industries", "EHR", "Clinical workflows", "Healthcare operations", "Nephrology", "Product Owner certification", "Agile certification", "Scrum certification", "Business Analysis certification", "Product Management certification", "Jira", "Confluence", "Azure DevOps" ], "skillCount" : 42, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30a2adf292fd229c11ea73", "title" : "Director, Value Stream Fulfillment", "company" : "HelloFresh", "industry" : "Logistics", "salary" : { "min" : 148050.0, "max" : 179000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Boulder, Colorado, United States", "locations" : [ "Boulder", "Colorado", "United States", "Irving", "TX", "United States", "Newark", "NJ", "United States", "Phoenix", "AZ", "United States" ], "timestamp" : "2026-06-16T14:21:23.771", "fingerprint" : "d474b6c92fa8aabe325dec96b2d095a079b4bbee19938bad04d3ffe1418d385c", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://careers.hellofresh.com/global/en/job/7972630?gh_jid=7972630", "externalId" : "7972630", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boulder", "state" : "Colorado", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.0149856,-105.2705450" } ], "locationText" : "Boulder, Colorado, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 12, "experienceMaxYears" : 15, "experienceLevel" : "Director", "technicalSkills" : "OMS, WCS, WMS, ASRMS", "professionalSkills" : [ "Value stream analysis", "Waste elimination", "Process maturity", "Resource allocation", "Headcount planning", "Budget management" ], "hardSkillsList" : [ "Operational metrics", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Continuous improvement" ], "softSkillsList" : [ "Leadership", "Mentoring", "Decision making" ], "hardSkills" : [ { "name" : "Operational metrics", "level" : "intermediate" }, { "name" : "Process management", "level" : "intermediate" }, { "name" : "Cross-functional coordination", "level" : "intermediate" }, { "name" : "Vendor management", "level" : "intermediate" }, { "name" : "Stakeholder management", "level" : "intermediate" }, { "name" : "Resource planning", "level" : "intermediate" }, { "name" : "Continuous improvement", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" }, { "name" : "Decision making" } ], "majorSkills" : "Value Stream Fulfillment, Supply chain strategy, Operations leadership", "majorSkillsList" : [ "Value Stream Fulfillment", "Supply chain strategy", "Operations leadership" ], "coreResponsibilities" : "Define strategic direction for Fulfillment and Warehousing process, Own multi-year capability roadmap and global template, Lead and mentor indirect team, Build high-performing, accountable department, Set governance framework and operating model, Design, validate, and deploy process and technology standards, Partner at executive level with Product, Engineering, Finance,, Align on global priorities, technology investments, and performance, Own department's budget, headcount planning, and resource allocation, Serve as final decision authority on process deviation, Drive organization's approach to continuous improvement, Drive value stream analysis and waste elimination at, Set standard for process maturity, Lead design and deployment of complex Lighthouse Projects, Ensure team functions as internal consultancy, Provide expert support to regional operations, quality teams,", "teamCollaboration" : "Cross-functional governance; Product/technology lifecycle processes; Executive level partnership; Regional operations support; Technology partners support", "projectManagementSkills" : [ "Roadmap planning", "Global rollout" ], "domainKnowledge" : "Fulfillment and Warehousing; Global supply chain; Value Stream Fulfillment; Industrial Engineering hardware integration", "domainList" : [ "fulfillment-and-warehousing", "global-supply-chain", "value-stream-fulfillment", "industrial-engineering-hardware-integration" ], "domainSpecificKnowledge" : [ "Fulfillment and Warehousing", "Global supply chain", "Value Stream Fulfillment", "Industrial Engineering hardware integration" ], "toolProficiency" : [ "Order Management Systems", "Warehouse Management Systems" ], "communicationSkills" : "Outstanding communicator; Influencer", "continuousLearning" : "Continuous development; Internal mobility", "problemSolvingSkills" : "Rigorous, data-driven decision maker; Navigating ambiguity", "specialRequirements" : "25% travel", "qualificationsBasic" : "12+ years progressive experience in Downstream Operations and Technology, Significant senior leadership experience, Demonstrated success leading multi-functional teams across multiple geographies, Full accountability for operational outcomes, Deep expertise across multiple Fulfillment and Warehousing domains, Breadth of experience across the full Fulfillment Value Stream portfolio, Commercial acumen and experience, Experience delivering measurable business impact, Extensive experience Fulfillment and Warehousing technology ecosystems, Experience operating as a senior stakeholder in cross-functional governance and product/technology lifecycle processes", "qualificationsPreferred" : "Experience with Industrial Engineering hardware integration a plus, Track record of developing senior talent, Building high-performance organizations", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "Director, Global Value Stream Fulfillment As a Director on the Global Value Stream Fulfillment team, you will lead a portfolio of operational capability verticals within HelloFresh's global supply chain, shaping the strategy and execution model for how we standardize, improve, and scale our operations worldwide. You will manage a team of Associate Directors and Senior Managers, set the department's operational agenda, and serve as a senior voice of operations across the organization. This is a high-impact leadership role that sits at the intersection of operations, technology, and global strategy. You will... Define and execute the strategic direction for Fulfillment and Warehousing process verticals, owning the multi-year capability roadmap and global template. Lead and mentor an indirect team of Associate Directors and Senior Managers, building a high-performing, accountable department with clear OKRs aligned to company strategy. Set the governance framework and operating model for how the Global Value Stream team Fulfillment designs, validates, and deploys process and technology standards internationally. Partner at the executive level with Product, Engineering, Finance, and regional Operations to align on global priorities, technology investments, and performance benchmarks. Own the department's budget, headcount planning, and resource allocation across capability areas and geographies. Serve as the final decision authority on process deviation requests, capability exceptions, and cross-market design trade-offs. Drive the organization's approach to continuous improvement, value stream analysis, and waste elimination at scale — setting the standard for how the company approaches process maturity. Lead the design and deployment of the most complex and high-stakes Lighthouse Projects, from problem definition through to global rollout. Ensure the team functions as an effective internal consultancy — providing rigorous expert support to regional operations, quality teams, and technology partners. You have... 12–15+ years of progressive experience in Downstream Operations and Technology — including significant senior leadership experience. Demonstrated success leading multi-functional teams across multiple geographies, with full accountability for operational outcomes. Deep expertise across multiple Fulfillment and Warehousing domains, with a breadth of experience that enables credible leadership across the full Fulfillment Value Stream portfolio. Strong commercial acumen and experience and delivering measurable business impact. Extensive experience Fulfillment and Warehousing technology ecosystems, including Order Management Systems (OMS/WCS), Warehouse Management Systems (WMS), Automated Storage and Retrieval system (ASRMS), and Order Enrichment systems; experience with Industrial Engineering hardware integration a strong plus. A track record of developing senior talent and building high-performance organizations. Experience operating as a senior stakeholder in cross-functional governance and product/technology lifecycle processes. Have the ability to travel upto 25% of the time in a quarter. You are... A bold, strategic leader with the operational depth to earn the trust of both warehouse teams, Tech teams and the C-suite. Comfortable navigating ambiguity at the department level while maintaining clarity and pace for your team. A talent multiplier — known for developing strong leaders and creating organizations that outlast any individual. A rigorous, data-driven decision maker who moves fast without sacrificing quality or thoroughness. Passionate about building world-class operations at scale — energized by the complexity and impact of a global mandate. An outstanding communicator and influencer who can drive alignment across diverse cultures, functions, and levels of seniority. What you'll get in return... The opportunity to shape global Fulfillment and Warehousing strategy at a leading food technology company with significant reach and impact. A high-ownership, low-bureaucracy environment where your work is visible and your decisions matter. Flexible working arrangements to support your work-life balance. Company discount: 70% off HelloFresh and 40% off Youfoodz. Continuous development through HelloFresh Academies and access to internal mobility across 18 countries. An egoless, collaborative culture focused on learning, growth, and building something exceptional together. You’ll get… Competitive hourly rate, 401K company match that vests immediately upon participation, & team bonus opportunities Generous PTO and flexible attendance policy Comprehensive health and wellness benefits with options at $0 monthly, effective first day of employment Up to 85% discount on subscriptions to HelloFresh meal plans (HelloFresh, Green Chef, Everyplate, and Factor_) Access to Employee Resource Groups that are open to all employees, including those pertaining to BIPOC, women, veterans, parents, and LGBTQ+ Inclusive, collaborative, and dynamic work environment within a fast-paced, mission-driven company that is disrupting the traditional food supply chain This job description is intended to provide a general overview of the responsibilities. However, the Company reserves the right to adjust, modify, or reassign work tasks and responsibilities as needed to meet changing business needs, operational requirements, or other factors. FOR CO POSTINGS (REMOVE IF N/A): Our company is committed to fair hiring practices and complies with all applicable laws, including the Colorado Job Application Fairness Act (JAFA). In accordance with JAFA, we will not request your age, date of birth, or dates of attendance at or graduation from an educational institution on your initial application for employment. When submitting supporting documents such as a resume, curriculum vitae (CV), or educational transcripts, you may voluntarily redact or omit any information that would identify your age. This includes: Dates of birth Dates of attendance at educational institutions Dates of graduation  Your decision to redact this information will not adversely affect the consideration of your application. We evaluate all candidates based on their skills, qualifications, and experience. Please be aware that should you receive a conditional offer of employment, we may be required to request this information for legally permissible purposes, such as verifying eligibility for employment or for benefits administration and background checks. Colorado Pay Range $148,050—$179,000 USD Illinois Pay Range $148,050—$179,000 USD", "summaryDescription" : "Director, Value Stream Fulfillment at HelloFresh. Skills: Value Stream Fulfillment, Supply chain strategy, Operations leadership. Define strategic direction for Fulfillment and Warehousing process. Own multi-year capability roadmap and global template", "postedDate" : "2026-06-16T03:17:12.050", "createdAt" : "2026-06-16T03:17:12.050", "lastUpdated" : "2026-06-16T14:21:23.771", "ingestTimestamp" : "2026-06-16T03:17:12.050", "mongoId" : "6a30a2adf292fd229c11ea73", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 148050, "salaryAnnualMax" : 179000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Operational metrics", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Continuous improvement", "Leadership", "Mentoring", "Decision making", "Value Stream Fulfillment", "Supply chain strategy", "Operations leadership", "Value stream analysis", "Waste elimination", "Process maturity", "Resource allocation", "Headcount planning", "Budget management", "Roadmap planning", "Global rollout", "Fulfillment and Warehousing", "Global supply chain", "Industrial Engineering hardware integration", "Order Management Systems", "Warehouse Management Systems" ], "skillCount" : 26, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Food & Beverage", "llmIndustryConfidence" : 0.98 }, { "id" : "68ed10ac70f0b99d58e7bae7", "title" : "EMEA Partner Business Outcome Solutions Lead", "company" : "Amazon Web Services EMEA Sarl", "industry" : "Business Merchant Development, Business/Merchant Development, Cloud Computing", "salary" : { "min" : 185000.0, "max" : 275000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Director level in Luxembourg's technology sector, adjusted for company size and industry." }, "location" : "Luxembourg, LUX", "locations" : [ "Luxembourg, LUX" ], "timestamp" : "2026-06-16T00:33:39.206", "fingerprint" : "44e18bdc33e2545e7f491afd889043dd474e3e22e2901664c144a450d843fccd", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3105005/apply", "externalId" : "1852d5d3-270e-4300-8d9b-e4e98d9c5c53", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Luxembourg", "country" : "Luxembourg", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "49.6112768,6.1297990" } ], "locationText" : "Luxembourg, Luxembourg", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's degree", "experienceMinYears" : 10, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AWS", "professionalSkills" : [ "Business development", "Program management", "Ecosystem development", "Go-to-market strategy", "Data-driven investment" ], "hardSkillsList" : [ "Performance metrics" ], "hardSkills" : [ { "name" : "Performance metrics", "level" : "intermediate" } ], "majorSkills" : "Partner programs, Business outcomes, Cloud adoption", "majorSkillsList" : [ "Partner programs", "Business outcomes", "Cloud adoption" ], "coreResponsibilities" : "Lead Business Outcome Solutions programs, Scale Business Outcome Solutions programs, Develop program management strategies, Drive business outcomes for customers, Create go-to-market strategies, Execute go-to-market strategies, Build relationships with industry partners, Maintain relationships with industry partners, Build relationships with stakeholders, Maintain relationships with stakeholders, Drive data-driven investment decisions, Establish key performance indicators, Track key performance indicators, Collaborate with cross-functional teams, Ensure program alignment, Ensure program execution, Develop program documentation, Maintain program documentation, Develop best practices for EMEA, Maintain best practices for EMEA", "teamCollaboration" : "Cross-functional teams", "projectManagementSkills" : [ "Program management" ], "domainKnowledge" : "Cloud adoption; Digital transformation; EMEA market dynamics; Regulatory environment", "domainList" : [ "cloud-adoption", "digital-transformation", "emea-market-dynamics", "regulatory-environment" ], "domainSpecificKnowledge" : [ "Cloud adoption", "Digital transformation", "EMEA market dynamics", "Regulatory environment" ], "problemSolvingSkills" : "Data-driven decision making", "outcomesObjectives" : "Maximize program impact; Ensure program success", "qualificationsBasic" : "10+ years industry experience, 10+ years cloud computing experience, 5+ years program management experience, Bachelor's degree or equivalent, Fluent in English, Experience with data-driven decision making, Experience with investment strategies, Track record managing complex programs, In-depth experience with AWS BOX, In-depth experience with Partner Solutions Factory", "qualificationsPreferred" : "MBA or advanced degree, Experience working with C-level executives, Prior experience in cloud services, Prior experience in digital transformation, Prior experience in enterprise software, Track record building programs across geographies, Track record scaling programs across geographies", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At Amazon Web Services (AWS), we're hiring an EMEA Business Outcome Solutions Lead to drive our partner industry and line of business programs across EMEA, in collaboration with the Global leader for the BOX Program and other relevant partner growth programs. This role will be instrumental in accelerating customer business outcomes through strategic business development, program management, and partner ecosystem development. This role offers the opportunity to shape and drive AWS's partner industry engagement strategy across EMEA, working with innovative customers and partners to accelerate their business outcomes through cloud adoption and digital transformation Key job responsibilities Lead and scale the Business Outcome Solutions programs, including Business Outcome Xcelerator (BOX), across priority industries in EMEA, working with the Global BOX and Business Outcome Solution Leaders. Develop and execute program management strategies to drive business outcomes for customers Create and execute go-to-market strategies aligned with regional priorities Build and maintain relationships with key industry partners and stakeholders Drive data-driven investment decisions to maximize program impact Establish and track key performance indicators (KPIs) for program success Collaborate with cross-functional teams to ensure program alignment and execution Develop and maintain program documentation and best practices for EMEA. Basic Qualifications: - 10+ years of industry and cloud computing experience - 5+ years of program management experience - Bachelor's degree or equivalent practical experience - Fluent in English and preferably one other European language - Experience with data-driven decision making and investment strategies - Demonstrated track record of managing complex, cross-functional programs - In-depth experience with AWS Business Outcome Solutions programs such as BOX, Partner Solutions Factory, and others Preferred Qualifications: - MBA or advanced degree in related field - Experience working with C-level executives - Strong understanding of EMEA market dynamics and regulatory environment - Prior experience in cloud services, digital transformation, or enterprise software - Track record of building and scaling programs across multiple geographies Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. 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" : "EMEA Partner Business Outcome Solutions Lead at Amazon Web Services EMEA Sarl. Skills: Partner programs, Business outcomes, Cloud adoption. Lead Business Outcome Solutions programs. Scale Business Outcome Solutions programs", "postedDate" : "2026-06-14T19:01:34.511", "createdAt" : "2026-06-14T19:01:34.511", "lastUpdated" : "2026-06-16T00:33:39.206", "ingestTimestamp" : "2026-06-14T19:01:34.511", "mongoId" : "68ed10ac70f0b99d58e7bae7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3105005/apply", "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Performance metrics", "Partner programs", "Business outcomes", "Cloud adoption", "Business development", "Program management", "Ecosystem development", "Go-to-market strategy", "Data-driven investment", "Digital transformation", "EMEA market dynamics", "Regulatory environment" ], "skillCount" : 12, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3086fbf292fd229c084e00", "title" : "Junior Business & Data Analyst", "company" : "Upgrade", "industry" : "FinTech", "salary" : { "min" : 75000.0, "max" : 95000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "United States (Remote)", "locations" : [ "United States (Remote)" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T14:03:30.016", "fingerprint" : "f34f9b6b9760b162fd07c2952135061c27bd917440f2be7da15044083f320dd1", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/upgrade/jobs/4706312005", "externalId" : "4706312005", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "SQL, Python, R, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure, SageMaker, Vertex AI, Synapse, ML Studio", "professionalSkills" : [ "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Data engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Regression analysis", "Classification modeling", "Clustering algorithms", "Time-series forecasting", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Regression analysis", "level" : "intermediate" }, { "name" : "Classification modeling", "level" : "intermediate" }, { "name" : "Clustering algorithms", "level" : "intermediate" }, { "name" : "Time-series forecasting", "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 statistical analysis, Collaborate with stakeholders to understand data needs, Identify opportunities for data-driven improvements, Ensure data quality and integrity, Document data processes and models", "teamCollaboration" : "Cross-functional teams; Product managers; Engineering teams; Business stakeholders", "domainKnowledge" : "Cloud data stacks; ML frameworks; BI platforms; Statistical methods", "domainList" : [ "cloud-data-stacks", "ml-frameworks", "bi-platforms", "statistical-methods" ], "domainSpecificKnowledge" : [ "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker" ], "documentationSkills" : "Document data processes; Document models", "problemSolvingSkills" : "Data-driven decision making", "qualificationsBasic" : "Bachelor's degree in Statistics, Computer Science, Mathematics, or related field, Proficiency in SQL, 2+ years of experience in data analysis or a related field", "qualificationsPreferred" : "Master's degree or PhD in a quantitative field, Experience with Python or R for data analysis, Experience with cloud platforms (AWS, GCP, Azure), Experience with BI tools (Tableau, Power BI, Looker), Experience with ML frameworks (scikit-learn, TensorFlow, PyTorch), GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Upgrade helps customers move in the right direction with affordable and responsible financial products. Since 2017, we’ve helped over 7.5 million customers access over $42 billion in consumer credit. With a relentless focus on improving our customers' financial well-being, we build products that put more money in their pocket and support their journey toward a better financial future. We’re backed by some of the most prominent technology investors and were most recently valued at $7.3B. We’re consistently recognized for our collaborative and inclusive culture. Most recently, we were named one of the World’s Top Fintech Companies by CNBC, Best Places to Work by Built In, Best Places to Work by the San Francisco Business Times, America’s Greatest Workplaces by Newsweek, Best Startup Employer by Forbes, and Healthiest Employers by Phoenix Business Journal. We’re looking for new team members who get excited about designing and delivering new and better products. Come join us and help build a better financial future for millions of people. About the Role We are looking for a curious, detail-oriented Junior Business and Data Analyst to join our growing analytics team. You will bring at least 2 years of experience in an analytics or data-focused role. That means you have worked with real data in a real environment, dealt with messy inputs, and delivered something a stakeholder actually used. A degree without hands-on experience is not a substitute. In this role you will support data-driven decision making by building reports, writing SQL queries, and surfacing insights that help business leaders understand performance and identify opportunities. You will work closely with senior analysts and business stakeholders while continuing to develop your skills in analytics, forecasting, and data storytelling. What You’ll Do: Data Analytics and Business Intelligence Analyze data to identify trends, patterns, and anomalies. Support root cause analysis and performance investigations. Assist in KPI tracking, data quality checks, and governance processes. Build and maintain business intelligence reports and apply statistical analysis fundamentals. Serve as the data resource for the commercial and account management teams. You will see how the business runs day to day and where the gaps are, which directly informs how the team prioritizes its work. SQL and Data Engineering Write and maintain SQL queries using joins, CTEs, and window functions. Support query optimization and performance improvements. Work within existing data models and warehouse structures to extract and transform data for reporting needs. Document data logic and query definitions to support data validation and reconciliation efforts. Forecasting and Reporting Help enhance and maintain scenario models under guidance. Track and report on forecast accuracy. Build and maintain dashboards and standard reports. Develop clear, accurate data visualizations following best practices. Support QBR preparation and executive reporting. Contribute to automated reporting solutions. What We Look For: 2 or more years of experience in an analytics or data-focused role. SQL proficiency including joins, CTEs, and window functions. You do not need to be a data engineer but you need to write and maintain real queries. Experience with Tableau, Microsoft Excel, Redshift, and Databricks. You use AI tools like Claude or ChatGPT as a real part of your workflow, not as a novelty. You are genuinely curious about data and what it means. When something looks off, you go find out why rather than waiting to be told. You ask questions before starting a project, not after. Ability to gather and document business requirements, collaborate cross-functionally, and contribute to business case development. Ability to present findings clearly, translate data outputs into plain-language summaries, and develop supporting materials for executive presentations. Comfortable forming and testing hypotheses with guidance and developing critical and structured thinking skills. Ability to identify patterns and trends in structured datasets, flag anomalies, and contribute observations that inform strategic recommendations. What We Offer You: Competitive salary 100% paid coverage of medical, dental and vision insurance Flexible PTO Competitive 401(k) Opportunities for professional growth and development Paid parental leave Health & wellness initiatives The compensation range of this position in San Francisco, CA is USD $75,000-$95,000 plus equity and benefits. Within this range, an individual's pay will be dependent on a variety of factors, including without limitation, job-related knowledge, skills, education, and experience. #LI-Remote For California residents: Upgrade's California Notice at Collection and Privacy Policy describes our practices regarding the collection, use, and disclosure of the personal information of job applicants. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Upgrade does not accept unsolicited resumes from staffing agencies, search firms, or any third parties. Any resume submitted to any employee of Upgrade without a prior written agreement in place will be considered the property of Upgrade, and Upgrade will not be obligated to pay any referral or placement fee. Agencies must obtain advance written approval from Upgrade's Talent Acquisition department to submit resumes and only in conjunction with a valid, fully executed agreement. English is required for all positions, as it involves interacting with staff at Upgrade's offices worldwide.", "summaryDescription" : "Junior Business & Data Analyst at Upgrade. Skills: Data Science, Data Engineering, Machine Learning, Business Intelligence. Develop and maintain data pipelines. Build and deploy machine learning models", "postedDate" : "2026-06-16T01:20:19.556", "createdAt" : "2026-06-16T01:20:19.556", "lastUpdated" : "2026-06-16T14:03:30.016", "ingestTimestamp" : "2026-06-16T01:20:19.556", "mongoId" : "6a3086fbf292fd229c084e00", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 75000, "salaryAnnualMax" : 95000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Regression analysis", "Classification modeling", "Clustering algorithms", "Time-series forecasting", "A/B testing", "Causal inference", "Data Science", "Data Engineering", "Machine Learning", "Business Intelligence", "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Data engineering", "Quantitative analysis", "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker" ], "skillCount" : 27, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "69fab9fc4c40e2acd17a8399", "title" : "Contracts Specialist, Business and Product Operations", "company" : "Amazon Web Services", "industry" : "Corporate Operations, Sales Operations Job Family, Cloud Computing", "salary" : { "min" : 115000.0, "max" : 175000.0, "currency" : "SGD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Contracts Specialist in Singapore's technology industry, adjusted for Amazon Web Services' size and the senior role." }, "location" : "SGP", "locations" : [ "SGP" ], "timestamp" : "2026-06-15T03:03:15.001", "fingerprint" : "8a21b65d7ff318e9fd562139ba9e4d2e70afe8b1084f23b6f0721eb899148cec", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10412062/apply", "externalId" : "f5c27021-4e0a-44db-878f-7f917abb0989", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Singapore", "country" : "Singapore", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "1.2899175,103.8519072" } ], "locationText" : "Singapore, Singapore", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Contract drafting", "Commercial operations", "Legal business support", "Policy compliance", "Risk identification" ], "hardSkillsList" : [ "Contract review", "Contract drafting", "Risk assessment", "Policy interpretation" ], "softSkillsList" : [ "Inquisitive", "Sound judgment", "Problem-solving skills", "Attention to detail" ], "hardSkills" : [ { "name" : "Contract review", "level" : "intermediate" }, { "name" : "Contract drafting", "level" : "intermediate" }, { "name" : "Risk assessment", "level" : "intermediate" }, { "name" : "Policy interpretation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Inquisitive" }, { "name" : "Sound judgment" }, { "name" : "Problem-solving skills" }, { "name" : "Attention to detail" } ], "majorSkills" : "Contract management, SOW drafting, Legal requirements", "majorSkillsList" : [ "Contract management", "SOW drafting", "Legal requirements" ], "coreResponsibilities" : "Own the contracting process, Create documentation, Gather approvals, Validate approvals, Track contract status, Communicate between stakeholders, Identify scope risks, Identify delivery risks, Ensure policy compliance, Engage with ICON, Engage with global BPO team, Engage with senior stakeholders, Engage with business partners, Draft key commercial contract terms, Communicate daily with cross functional teams, Identify operational improvements, Assist to implement operational improvements, Meet business requirements, Be part of ICON projects, Become contract creation subject matter expert, Lead contract drafting of SOWs, WOs, and WOAs, Act as trusted advisor to customers, Consult on operations, Consult on contracts, Consult on policies, Manage end-to-end contract work-flow, Liaise daily with business partners, Ensure SOWs meet project deliverables, Ensure SOWs meet contract requirements, Ensure SOWs meet legal requirements, Connect with APJ ICON team, Connect with global ICON team, Identify policy improvements, Simplify policy improvements, Identify process improvements, Simplify process improvements", "teamCollaboration" : "Work with ICON; Work with Sales Enablement; Work with Business Process Managers; Work with Business Operations; Work with AWS Legal; Work with global BPO team; Work with senior stakeholders; Work with business partners; Communicate with Sales; Communicate with Legal; Communicate with Operations; Communicate with Management; Collaborate with APJ ICON team; Collaborate with global ICON team", "domainKnowledge" : "Cloud computing; Technology licensing; Service contracts; Commercial contracts", "domainList" : [ "cloud-computing", "technology-licensing", "service-contracts", "commercial-contracts" ], "domainSpecificKnowledge" : [ "Cloud computing", "Technology licensing", "Service contracts", "Commercial contracts" ], "communicationSkills" : "Stakeholder consultation", "documentationSkills" : "Contract drafting", "problemSolvingSkills" : "Problem-solving skills", "qualificationsBasic" : "Bachelor's degree in Finance, Economics, Statistics, Business, or related field, 5+ years of experience in contracts, commercial operations, or legal business support, Experience reviewing and drafting contract terms in technology licensing and service contracts, or broad range of standard commercial contracts", "qualificationsPreferred" : "Experience with cloud computing, Experience working within a high-growth technology company", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "For over 11 years, Amazon Web Services (“AWS”) has been the world’s most comprehensive and broadly adopted cloud platform. AWS offers over 100 fully featured services to millions of active customers around the world—including the fastest-growing startups, largest enterprises, and leading government agencies—to power their infrastructure. The Business and Product Operations (BPO) team is a diverse team that supports infrastructure and other foundational initiatives that span and support Sales (AWS Professional Services), Marketing and Support teams within AWS. We are looking for a Contract Specialist to support AWS Professional Services, for both public and commercial sectors, and AWS Legal by drafting Statements of Work (SOW), Work Orders (WO) and Work Order Amendments (WOA) to support AWS Professional Services in the Asia Pacific and Japan (APJ) region during the contract creation and drafting process. This is a unique role, with similar functions to a business operations analyst and a contract analyst. Therefore, we are looking for a motivated self-starter who’s passionate about contracts, has an eye for detail, and has the right level of contract drafting skills allowing them to work autonomously and efficiently in a fast-paced environment. - The candidate will work side by side with ICON, Sales Enablement, Business Process Managers, Business Operations, and AWS Legal to ensure contracts meet AWS’s high standards for contract and legal requirements. - They will also support AWS Professional Services by providing operational, contract, policy compliance and guidance, enabling them to provide a positive customer experience. - The successful candidate must be inquisitive, enthusiastic, like being continually challenged, demonstrate sound judgment, possess problem-solving skills and have attention to detail. They should be able to manage the contracting process from request through to signature, identify potential risks in their contracts, and be able to recommend and implement improvements to the contract work-flow. - The candidate will also need to earn trust with a broad range of stakeholders and business partners, and act as a trusted advisor to consult with stakeholders on contracting matters. Key job responsibilities • Own the contracting process, creating documentation, gathering and validating approvals, tracking status, and communication between key stakeholders • Ability to identify scope and delivery risks, and ensure policy compliance • Engage with ICON, global BPO team, senior stakeholders, and business partners in the APJ region • Drafting key commercial contract terms within an SOW, WO, and WOA. • Communicate daily with cross functional teams including Sales, Legal, Operations, and Management • Identify and assist to implement operational improvements and enhancements that meet business requirements • Be a part of ICON projects for continuous improvement • Become the contract creation subject matter expert A day in the life • Lead contract drafting of SOWs, WOs, and WOAs • Act as trusted advisor to customers on operations, contracts, and policies for the end-to-end contract work-flow • Liaise daily with business partners to ensure SOWs meet project deliverables, contract and legal requirements • Connect and collaborate with the APJ ICON team (and broader global ICON team) to identify and simplify policy and process improvements About the team About the team The ICON team provides contract support services to the AWS Professional Service team (Sales) for both public and private sector. Following the sun, we have teams located in AMER (Seattle), EMEA (Dublin) and APAC (Sydney and Japan). Basic Qualifications: - Bachelor's degree in Finance, Economics, Statistics, Business, or a related field - Experience reviewing and drafting contract terms in technology licensing and service contracts, or a broad range of standard commercial contracts - 5+ years of relevant experience in contracts, commercial operations, or legal/business support. Preferred Qualifications: - Experience working with or having knowledge of cloud computing and existing cloud technologies - Experience working within a high-growth technology company 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" : "Contracts Specialist, Business and Product Operations at Amazon Web Services. Skills: Contract management, SOW drafting, Legal requirements. Own the contracting process. Create documentation", "postedDate" : "2026-06-13T04:21:49.472", "createdAt" : "2026-06-13T04:21:49.472", "lastUpdated" : "2026-06-15T03:03:15.001", "ingestTimestamp" : "2026-06-13T04:21:49.472", "mongoId" : "69fab9fc4c40e2acd17a8399", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10412062/apply", "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Contract review", "Contract drafting", "Risk assessment", "Policy interpretation", "Inquisitive", "Sound judgment", "Problem-solving skills", "Attention to detail", "Contract management", "SOW drafting", "Legal requirements", "Commercial operations", "Legal business support", "Policy compliance", "Risk identification", "Cloud computing", "Technology licensing", "Service contracts", "Commercial contracts" ], "skillCount" : 19, "jobCategory" : "operations", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Cloud Computing" }, { "id" : "6a2cafbf74d8ee00a09d7b0b", "title" : "Customer Value Architect", "company" : "Neara", "industry" : "Customer Success", "salary" : { "min" : 130000.0, "max" : 190000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "New York City", "locations" : [ "New York City" ], "timestamp" : "2026-06-16T05:13:06.320", "fingerprint" : "ed3d135b56e19a1fead6b92bc999b81b1ffed2c32fa1ecdeb2c725ed8d6a1163", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/neara/7ff632ec-5d72-463e-a7c4-23a2e0ff2416/application", "externalId" : "7ff632ec-5d72-463e-a7c4-23a2e0ff2416", "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" : "Programming, Data integration, Software languages", "professionalSkills" : [ "Customer engagement", "Customer navigation", "ROI definition", "Value validation", "Business cases", "Account strategies" ], "hardSkillsList" : [ "Data-driven solutions" ], "hardSkills" : [ { "name" : "Data-driven solutions", "level" : "intermediate" } ], "majorSkills" : "Customer success, Value realization, Platform adoption", "majorSkillsList" : [ "Customer success", "Value realization", "Platform adoption" ], "coreResponsibilities" : "Develop understanding of Neara software platform, Translate platform functionality and value to customers, Work closely with customers, Drive and embed use of Neara platform, Enable customer proficiency with platform, Ensure solutions deliver contractual scope, Ensure solutions deliver business outcomes, Develop understanding of customer strategic imperatives, Provide guidance on Neara solutions, Serve as trusted commercial advisor, Serve as trusted technical advisor, Ensure solutions are embedded within business, Collaborate to define business cases, Collaborate to deliver ROI metrics, Identify opportunities for customer expansion, Identify and engage stakeholder audience, Build trusted relationships, Collaborate with Sales and Deployment teams, Drive customer happiness, Drive platform adoption, Drive growth, Design focused training sessions, Deliver focused workshops, Identify emerging client needs, Identify strategic opportunities, Inform customer account strategies, Inform growth opportunities", "teamCollaboration" : "Neara Sales teams; Deployment teams", "domainKnowledge" : "Electricity grids; Energy future; Utilities; Digital twin software; Grid modernization; Infrastructure sector; Energy sector", "domainList" : [ "electricity-grids", "energy-future", "utilities", "digital-twin-software", "grid-modernization", "infrastructure-sector", "energy-sector" ], "domainSpecificKnowledge" : [ "Electricity grids", "Energy future", "Utilities", "Digital twin software", "Grid modernization", "Infrastructure sector", "Energy sector" ], "communicationSkills" : "Explain technical topics", "problemSolvingSkills" : "Creative technical solutions", "specialRequirements" : "On-site with customers", "outcomesObjectives" : "Quantifiable ROI for users; Deliver business cases; Deliver ROI metrics; Drive customer happiness; Drive platform adoption; Drive growth; Drive value demonstration", "qualificationsBasic" : "Significant experience as a Data & Analytics Consultant, Technology Consultant, or Management Consultant, Technical aptitude with hands-on experience in programming, data integration, and utilizing tools like macros and various software languages, Proven track record of developing tangible customer value and ROI frameworks, Deep familiarity with enterprise software platforms, large-scale deployments, and change management", "qualificationsPreferred" : "Experience working with utilities, digital twin software, or grid modernization initiatives is highly desirable, Experience within broader infrastructure or the energy sector is a major plus", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Imagine having the power to stress-test an entire power grid against a hurricane or thunderstorm before the clouds even gather. That is the reality we are creating at Neara. We use advanced machine learning to create engineering-grade, physics enabled digital twins of electricity grids across four continents, this helps asset owners understand their biggest challenges and bring the most viable solutions to life across millions of kilometres of infrastructure. By simulating extreme weather and structural stress at a network-wide scale, we empower the world’s largest utilities to pinpoint risks, optimise investments and build a more resilient global energy future. Our team is a collection of brilliant minds who are fanatical about making a tangible difference in the real world, utilising AI and machine learning to accelerate everything from data classification to complex scenario analysis. We have built a special culture where innovation thrives because everyone owns the mission and we need smart, creative people to help us scale this impact to every corner of the globe. Neara is excited to enable one of its greatest growth opportunities with the hiring of a Customer Value Architect. The Customer Value Architect will work directly and closely with our highest value customers to drive the adoption, value definition and validation, and broader adoption of the Neara platform. We are looking for individuals with strong technical curiosity, an active enjoyment of customer engagement and navigation, and an ability to translate Neara solutions into quantifiable ROI for our most valuable users. This position requires an appetite to become proficient in the industries we serve, the solutions we provide, and the value they create for customers. WHAT YOU WILL DO - Develop a strong understanding of, and proficiency with, the Neara software platform in order to translate its functionality and value to customers. - Work directly and closely with customers, including meaningful time on-site with customers to: - Drive and embed the use of the Neara platform by customers, including enabling the customer’s ability to proficiently use the platform to ensure customer ease of adoption and use throughout their organisation. - Ensure that Neara solutions adopted by customers are being delivered as contractually scoped and are delivering on identified business outcomes. - Develop a deep understanding of customer strategic imperatives and business goals in order to provide clear guidance on where Neara solutions can enable or enhance. - Serve as a trusted commercial and technical advisor to customers, ensuring Neara solutions are fully embedded within their business, including with respect to workflow or change management requirements that sit outside the core Neara scope. - Collaborate with customers to define and deliver business cases and related ROI metrics, in support of the value delivered by Neara solutions, including established cadences around internal reporting and value delivery reviews. - Identify opportunities for customers to expand their use and adoption of the Neara platform into other solutions through the identification of additional business drivers or pain points that Neara can help solve. - Identify and actively engage a broad stakeholder audience within customers to ensure close and trusted relationships, built on credibility, authenticity and transparency. - Collaborate closely with Neara Sales and Deployment teams to drive customer happiness, platform adoption, growth, and consistent and measurable adoption and value demonstration frameworks. - Design and deliver focused training sessions and workshops aligned with customer goals and workflows - Identify emerging client needs and strategic opportunities, and work closely with Neara Sales and Deployment teams to inform customer account strategies and growth opportunities. WHO YOU ARE - Significant experience as a Data & Analytics Consultant, Technology Consultant, or Management Consultant within a consulting firm or relevant software provider, managing enterprise-level client strategy and engagement. - Strong technical aptitude with hands-on experience in programming, data integration, and utilizing tools like macros and various software languages to create tailored, data-driven solutions for clients. - Proven track record of developing tangible customer value and ROI frameworks that map complex technical solutions back to client strategic and business priorities. - Deep familiarity with enterprise software platforms, large-scale deployments, and change management. - Experience working with utilities, digital twin software, or grid modernization initiatives is highly desirable. Experience within broader infrastructure or the energy sector is a major plus. - Exceptional communication and external stakeholder engagement skills, with the ability to explain complex technical topics clearly and build trusted relationships with cross-functional client teams. - A proactive, critical thinker who enjoys finding creative technical solutions to solve customer pain points and unlock commercial growth opportunities. WHAT WE ARE OFFERING YOU - Competitive salary + ESOP. - Significant career development and growth opportunities. - Highly meritocratic, non-bureaucratic, and low ego work culture. - The opportunity to work on complex, meaningful products and real-world problems. - The opportunity to play a direct, critical role in the trajectory of a high-growth company. Neara values diversity, belonging and equal employment opportunities. We encourage individuals from all backgrounds to apply. Please note that you will require current and unrestricted working rights to be considered for the role. Unfortunately, we are not in a position to offer visa sponsorship at this time. No agencies or third-party service providers, please. #LI-NT1", "summaryDescription" : "Customer Value Architect at Neara. Skills: Customer success, Value realization, Platform adoption. Develop understanding of Neara software platform. Translate platform functionality and value to customers", "createdAt" : "2026-06-14T20:12:37.432", "lastUpdated" : "2026-06-16T05:13:06.320", "ingestTimestamp" : "2026-06-14T20:12:37.432", "mongoId" : "6a2cafbf74d8ee00a09d7b0b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 130000, "salaryAnnualMax" : 190000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data-driven solutions", "Customer success", "Value realization", "Platform adoption", "Customer engagement", "Customer navigation", "ROI definition", "Value validation", "Business cases", "Account strategies", "Electricity grids", "Energy future", "Utilities", "Digital twin software", "Grid modernization", "Infrastructure sector", "Energy sector" ], "skillCount" : 17, "jobCategory" : "sales", "jobSubcategory" : "customer_success", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305118f292fd229cef9b60", "title" : "Staff Data Scientist - Product", "company" : "Apollo. io", "industry" : "SaaS", "salary" : { "min" : 205200.0, "max" : 295000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "United States", "locations" : [ "United States" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T06:29:35.385", "fingerprint" : "723b63ee82e93de895511fcf6e63dfcdd03f1495ace7dab8cb50bacf3ee1caea", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/apolloio/jobs/5894865004", "externalId" : "5894865004", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, R, Python, SAS, Looker, Amplitude, Heap, Mixpanel", "professionalSkills" : [ "Product strategy", "Data analysis", "Product innovation", "Product optimization", "Data-driven solutions", "Analytics infrastructure", "Data collection", "Data reporting", "Product impact", "Data-driven decision-making", "Continuous improvement", "Data integrity", "Data accuracy", "Product launches", "Product metrics", "Product challenges", "Analytics infrastructure", "Product goals" ], "hardSkillsList" : [ "Exploratory analysis", "Time series analysis", "Funnel analysis", "Funnel optimization", "A/B testing", "Machine learning", "Statistical analysis" ], "softSkillsList" : [ "Adaptability" ], "hardSkills" : [ { "name" : "Exploratory analysis", "level" : "intermediate" }, { "name" : "Time series analysis", "level" : "intermediate" }, { "name" : "Funnel analysis", "level" : "intermediate" }, { "name" : "Funnel optimization", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Adaptability" } ], "majorSkills" : "Product analytics, Data science, Machine learning, Statistical analysis", "majorSkillsList" : [ "Product analytics", "Data science", "Machine learning", "Statistical analysis" ], "coreResponsibilities" : "Translate business needs into data analysis and actionable, Optimize product performance and user experience, Support early-stage product initiatives, Work closely with product managers, engineers, and stakeholders, Identify critical product questions, Provide data-driven solutions, Develop and maintain scalable, reliable, and accurate analytics, Support product decisions, Establish and maintain best practices for data collection,, Deliver actionable insights and recommendations, Focus on landing tangible product impact, Foster a culture of data-driven decision-making, Foster a culture of continuous improvement, Ensure the integrity and accuracy of the data, Support 0 to 1 product launches, Identify key metrics, Analyze early-stage product data", "teamCollaboration" : "Cross-functional teams; Product managers; Engineers; Stakeholders", "domainKnowledge" : "SaaS Product-Led Growth; Product activation metrics; Aha moments; Habit moments", "domainList" : [ "saas-product-led-growth", "product-activation-metrics", "aha-moments", "habit-moments" ], "domainSpecificKnowledge" : [ "SaaS Product-Led Growth", "Product activation metrics", "Aha moments", "Habit moments" ], "toolProficiency" : [ "Looker", "Amplitude", "Heap", "Mixpanel" ], "communicationSkills" : "Present data insights", "problemSolvingSkills" : "Problem solving", "qualificationsBasic" : "Degree in Analytics, Applied Mathematics, Economics, Statistics, or related analytical field of study, or an equivalent combination of training and experience, Deep experience in working with exploratory analysis projects related to cohorting, time series analysis, and funnel analysis/optimization, Expert-level proficiency in influencing product strategy with SQL, A testing, machine learning, statistical analysis, and related tools like R, Python, SAS, etc, Experience with Product Analytics tools to track end-to-end journeys/funnels (e.g., Amplitude, Heap, Mixpanel) and analyzing events within those products", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification, Experience with Product Analytics tools (e.g., Looker, Amplitude), Experience with 0 to 1 product initiatives, Previous or current experience supporting SaaS (Product-Led Growth) companies with uncovering gaps and recalibrating activation metrics (e.g., aha/habit moments)", "remoteFriendly" : true, "rawDescription" : "Apollo.io is the leading go-to-market solution for revenue teams, trusted by over 500,000 companies and millions of users globally, from rapidly growing startups to some of the world's largest enterprises. Founded in 2015, the company is one of the fastest growing companies in SaaS, raising approximately $250 million to date and valued at $1.6 billion. Apollo.io provides sales and marketing teams with easy access to verified contact data for over 210 million B2B contacts and 35 million companies worldwide, along with tools to engage and convert these contacts in one unified platform. By helping revenue professionals find the most accurate contact information and automating the outreach process, Apollo.io turns prospects into customers. Apollo raised a series D in 2023 and is backed by top-tier investors, including Sequoia Capital, Bain Capital Ventures, and more, and counts the former President and COO of Hubspot, JD Sherman, among its board members. Position Overview: We are seeking a highly analytical and impact-driven Senior Data Scientist to help shape our product strategy and decision-making through data. In this role, you will focus on optimizing existing products while also supporting early-stage product initiatives where relevant. You will work closely with cross-functional teams to drive product innovation and optimization through data-driven insights. This position requires a passion for transforming data into actionable insights and the ability to thrive in a fast-paced environment. What You’ll Do: Translate business needs into data analysis and actionable insights to optimize product performance and user experience for both existing and new products. Work closely with product managers, engineers, and other cross-functional stakeholders to identify critical product questions and provide data-driven solutions. Develop and maintain a scalable, reliable, and accurate analytics infrastructure to support product decisions. Establish and maintain best practices for data collection, analysis, and reporting. Deliver actionable insights and recommendations focused on landing tangible product impact. Help foster a culture of data-driven decision-making and continuous improvement within the product teams. Ensure the integrity and accuracy of the data used for analysis and reporting. While the primary focus is on existing products, support 0 to 1 product launches by identifying key metrics and analyzing early-stage product data when applicable. What You Bring: Strong experience in product analytics or a similar data-focused role, with a proven ability to impact product strategy and decision-making through data. Expertise in translating complex data into insights that are actionable for cross-functional teams. Proficiency with data analytics tools and platforms (e.g., Looker, Amplitude) is a plus but not required. A focus on solving product challenges is more important than specific tool experience. Experience in building and maintaining reliable analytics infrastructures. Excellent communication skills, with the ability to clearly present data insights to both technical and non-technical stakeholders. Experience with 0 to 1 product initiatives is a plus, though not required. A high level of accountability, a passion for continuous learning, and the ability to thrive in a fast-paced, dynamic environment. Qualifications: Degree in Analytics, Applied Mathematics, Economics, Statistics, or related analytical field of study, or an equivalent combination of training and experience. Deep experience in working with exploratory analysis projects related to cohorting, time series analysis, and funnel analysis/optimization is required. Expert-level proficiency in influencing product strategy with SQL, A/B testing, machine learning, statistical analysis, and related tools like R, Python, SAS, etc., is required. Previous or current experience supporting SaaS (Product-Led Growth) companies with uncovering gaps and recalibrating activation metrics (e.g., aha/habit moments) is a huge plus. Experience with Product Analytics tools to track end-to-end journeys/funnels (e.g., Amplitude, Heap, Mixpanel) and analyzing events within those products is essential. Proven ability to thrive in a fast-paced, dynamic startup environment with a high level of adaptability and a strong product sense, ensuring insights align with customer needs and product goals. The listed Pay Range reflects the total cash compensation inclusive of annual base salary and annual bonus as applicable. For sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonus target and annual base salary for the role. This salary range may be inclusive of several career levels at Apollo and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role who are not located in the US may request the annual salary range for their location during the interview process. Additional benefits for this role may include: equity; company bonus or sales commissions/bonuses; 401(k) plan; at least 10 paid holidays per year, flex PTO, and parental leave; employee assistance program and wellbeing benefits; global travel coverage; life/AD FSA/HSA and medical, dental, and vision benefits. Tier 1 Pay Range (San Francisco, New York City, Seattle) $236,000—$295,000 USD Tier 2 Pay Range (All other US Locations) $205,200—$256,500 USD We are AI Native Apollo.io is an AI-native company built on a culture of continuous improvement. We’re on the front lines of driving productivity for our customers—and we expect the same mindset from our team. If you're energized by finding smarter, faster ways to get things done using AI and automation, you'll thrive here. Why You’ll Love Working at Apollo At Apollo, we’re driven by a shared mission: to help our customers unlock their full revenue potential. That’s why we take extreme ownership of our work, move with focus and urgency, and learn voraciously to stay ahead. We invest deeply in your growth, ensuring you have the resources, support, and autonomy to own your role and make a real impact. Collaboration is at our core—we’re all for one, meaning you’ll have a team across departments ready to help you succeed. We encourage bold ideas and courageous action, giving you the freedom to experiment, take smart risks, and drive big wins. If you’re looking for a place where your work matters, where you can push boundaries, and where your career can thrive—Apollo is the place for you. Learn more here!", "summaryDescription" : "Staff Data Scientist - Product at Apollo. io. Skills: Product analytics, Data science, Machine learning, Statistical analysis. Translate business needs into data analysis and actionable. Optimize product performance and user experience", "postedDate" : "2026-06-15T23:16:02.991", "createdAt" : "2026-06-15T23:16:02.991", "lastUpdated" : "2026-06-16T06:29:35.385", "ingestTimestamp" : "2026-06-15T23:16:02.991", "mongoId" : "6a305118f292fd229cef9b60", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 205200, "salaryAnnualMax" : 295000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Exploratory analysis", "Time series analysis", "Funnel analysis", "Funnel optimization", "A/B testing", "Machine learning", "Statistical analysis", "Adaptability", "Product analytics", "Data science", "Product strategy", "Data analysis", "Product innovation", "Product optimization", "Data-driven solutions", "Analytics infrastructure", "Data collection", "Data reporting", "Product impact", "Data-driven decision-making", "Continuous improvement", "Data integrity", "Data accuracy", "Product launches", "Product metrics", "Product challenges", "Product goals", "SaaS Product-Led Growth", "Product activation metrics", "Aha moments", "Habit moments", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Looker", "Amplitude", "Heap", "Mixpanel" ], "skillCount" : 39, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "69fd04b04c40e2acd1ae5db6", "title" : "Internship – Nuclear Insights into Ocean Alkalinity", "company" : "IAEA", "industry" : "Government", "salary" : { "min" : 15000.0, "max" : 25000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level internship in Monaco, adjusted for the climate tech industry." }, "location" : "Monaco-Monaco-Monaco-IAEA Environment Laboratories in Monaco", "locations" : [ "Monaco-Monaco-Monaco-IAEA Environment Laboratories in Monaco", "2026-05-28, 11:59:00 PM" ], "timestamp" : "2026-06-16T02:29:37.292", "fingerprint" : "a63cf5e25ad269a77925d81db2227d480d5e2ee2e7cb8599a208fbce569f15bf", "source" : "taleo", "language" : "en", "applyUrl" : "https://iaea.taleo.net/careersection/ex/jobdetail.ftl?job=1314728", "externalId" : "1314728", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Monaco", "state" : "Monaco", "country" : "Monaco", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "43.7309697,7.4248152" } ], "locationText" : "Monaco, Monaco, Monaco", "employmentType" : "INTERNSHIP", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "NAML-Radioecology Laboratory Monaco-Monaco-Monaco-IAEA Environment Laboratories in Monaco", "summaryDescription" : "Internship – Nuclear Insights into Ocean Alkalinity at IAEA", "createdAt" : "2026-06-14T19:48:41.011", "lastUpdated" : "2026-06-16T02:29:37.292", "ingestTimestamp" : "2026-06-14T19:48:41.011", "mongoId" : "69fd04b04c40e2acd1ae5db6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Climate Tech", "llmIndustryConfidence" : 0.85 }, { "id" : "6a3086fbf292fd229c084e02", "title" : "Senior Business & Data Analyst", "company" : "Upgrade", "salary" : { "min" : 100000.0, "max" : 125000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "United States (Remote)", "locations" : [ "United States (Remote)" ], "timestamp" : "2026-06-16T11:42:10.241", "fingerprint" : "bd4f3c425f757041adb4e56e789d3452b0f9246d96bad09a6d47e62d03bb0631", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/upgrade/jobs/4706311005", "externalId" : "4706311005", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Upgrade helps customers move in the right direction with affordable and responsible financial products. Since 2017, we’ve helped over 7.5 million customers access over $42 billion in consumer credit. With a relentless focus on improving our customers' financial well-being, we build products that put more money in their pocket and support their journey toward a better financial future. We’re backed by some of the most prominent technology investors and were most recently valued at $7.3B. We’re consistently recognized for our collaborative and inclusive culture. Most recently, we were named one of the World’s Top Fintech Companies by CNBC, Best Places to Work by Built In, Best Places to Work by the San Francisco Business Times, America’s Greatest Workplaces by Newsweek, Best Startup Employer by Forbes, and Healthiest Employers by Phoenix Business Journal. We’re looking for new team members who get excited about designing and delivering new and better products. Come join us and help build a better financial future for millions of people. About the Role We are looking for a Senior Business and Data Analyst who wants to help build something, not just run it. You will serve as a strategic analytics partner to business leaders across Flex Pay and the broader Upgrade commercial organization. That means owning executive-level deliverables, shaping how the team operates, and having a real say in where analytics goes next. You will transform complex data into clear, actionable insights, drive smarter decisions, improve operational performance, and shape business strategy through analytics. What You’ll Do: Analytics and Business Intelligence Conduct advanced data analysis, mining, and trend identification to surface meaningful business insights. Develop and maintain KPIs, performance management frameworks, and data quality standards. Perform root cause analysis, statistical hypothesis testing, and predictive and prescriptive analytics. Own data governance and quality assessment practices. SQL and Data Engineering Write and optimize complex SQL queries using CTEs, window functions, joins, and stored procedures. Design and maintain data models, ETL/ELT pipelines, and data warehouse structures. Perform data validation, reconciliation, and transformation to ensure analytical accuracy. Forecasting and Reporting Measure and continuously improve forecast accuracy using trend analysis, seasonality analysis, and statistical methodologies. Develop scenario models to support strategic decisions. Design executive dashboards, scorecards, and interactive reports that tell a clear story. Own QBR preparation and deliver findings directly to senior leadership, including the executive team. You will translate analytical work into business narratives that influence real decisions at the company level. Build automated reporting solutions that scale across the organization. Business Partnership and Executive Communication Partner with stakeholders to gather requirements, document processes, and align on priorities. Present technical analysis to C-suite leaders as business narratives and strategic recommendations. Facilitate meetings, lead cross-functional collaboration, and support change management initiatives. What We Look For: Advanced SQL proficiency including complex joins, CTEs, window functions, and query optimization. Experience with Tableau, Microsoft Excel, Redshift, and Databricks. You use AI tools like Claude or ChatGPT as a real part of your analytical workflow, not as a novelty. You know when to use them, how to verify their output, and how to integrate them into how you work. Strong foundation in statistical analysis, forecasting methodologies, and data modeling. Familiarity with ETL/ELT concepts and data warehouse design. Skilled at connecting metrics to business outcomes and identifying key performance drivers. What We Offer You: Competitive salary 100% paid coverage of medical, dental and vision insurance Flexible PTO Competitive 401(k) Opportunities for professional growth and development Paid parental leave Health & wellness initiatives The compensation range of this position in San Francisco, CA is USD $100,000-$125,000 plus equity and benefits. Within this range, an individual's pay will be dependent on a variety of factors, including without limitation, job-related knowledge, skills, education, and experience. #LI-Remote For California residents: Upgrade's California Notice at Collection and Privacy Policy describes our practices regarding the collection, use, and disclosure of the personal information of job applicants. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Upgrade does not accept unsolicited resumes from staffing agencies, search firms, or any third parties. Any resume submitted to any employee of Upgrade without a prior written agreement in place will be considered the property of Upgrade, and Upgrade will not be obligated to pay any referral or placement fee. Agencies must obtain advance written approval from Upgrade's Talent Acquisition department to submit resumes and only in conjunction with a valid, fully executed agreement. English is required for all positions, as it involves interacting with staff at Upgrade's offices worldwide.", "summaryDescription" : "Senior Business & Data Analyst at Upgrade", "postedDate" : "2026-06-16T01:20:06.347", "createdAt" : "2026-06-16T01:20:06.347", "lastUpdated" : "2026-06-16T11:42:10.241", "ingestTimestamp" : "2026-06-16T01:20:06.347", "mongoId" : "6a3086fbf292fd229c084e02", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 100000, "salaryAnnualMax" : 125000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a307b2af292fd229c0449b6", "title" : "Senior Product Manager, Data", "company" : "Nuro", "industry" : "Technology", "salary" : { "min" : 160360.0, "max" : 240540.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Nuro HQ - Mountain View, CA", "locations" : [ "Nuro HQ - Mountain View", "CA" ], "timestamp" : "2026-06-16T14:51:31.398", "fingerprint" : "9617351cf330a60ce67a43a6ae2216c25d680258e3385102643cbe709fa1d767", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://nuro.ai/careersitem?gh_jid=7603694", "externalId" : "7603694", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Mountain View", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3893889,-122.0832101" } ], "locationText" : "Mountain View, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "coreResponsibilities" : "Define product strategy, Develop product roadmap, Write user stories, Collaborate with cross-functional teams", "teamCollaboration" : "Cross-functional teams", "rawDescription" : "Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us—that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale—from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Role We're looking for a Product Manager to own the data infrastructure and labeling systems that power our autonomous vehicle development. Data quality is one of the most critical inputs to our ML and Behavior teams, and this role will build the systems and workflows that give those teams confidence in the data they depend on—shipping dashboards that eliminate manual reconciliation, defining labeling standards that prevent costly rework, and creating infrastructure that scales as our fleet grows. This is a high-ownership role where you'll work across Engineering, Operations, ML, and external vendors to turn processes into reliable, measurable systems. About the Work Build visibility into data. Ship dashboards that reconcile mileage across sources, show collection coverage, and let ML and Behavior teams see what data exists and what's missing. Optimize data collection. Define requirements for smarter data collection routing to improve targeting efficiency—fewer miles driven, higher-value data captured. Scale the infrastructure. Develop tooling to support 150+ vehicles operating across multiple cities. Raise the bar on labeling quality. Own labeling specs approval, define pass/fail quality thresholds, and design a vendor audit framework that gives us quantified confidence in output. Own the labeling tooling roadmap. Prioritize engineering investment in labeling infrastructure and identify cost reduction opportunities (pre-labeling, smarter task routing, reducing redundant QA). About You You take ownership of messy problems. You're energized, not discouraged, by ambiguity. You'll inherit fragmented processes and incomplete systems—and you'll build structure where none exists. You ship. You bias toward action and delivering working solutions over perfect plans. You know when \"good enough now\" beats \"great later.\" You're deeply analytical. You're comfortable digging into data pipelines, writing SQL, and building your own visibility when dashboards don't exist yet. You operate at both altitude and ground level. You can define a long-term infrastructure vision and also roll up your sleeves to document acceptance criteria or audit vendor output. You communicate crisply across technical and non-technical audiences. You'll work daily with engineers, ML researchers, operations teams, and external vendors—and need to translate between all of them. You hold systems accountable. You don't just launch processes; you measure them, find where they break, and fix them. You have 5+ years of product management experience, ideally with exposure to data platforms, ML infrastructure, operations tooling, or vendor management. At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $160,360 and $240,540 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package. At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics.", "summaryDescription" : "Senior Product Manager, Data at Nuro. Define product strategy. 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This in-between is where Business Analysts reside, acting as a bridge between the client and team. You will establish the outcomes software must achieve, assess how it will be used, and then generate bold ideas with our developers to create custom applications. You will work with clients across a variety of sectors and ensure the business-critical software solutions we develop deliver real business value every time. Job responsibilities Senior BA will help on the delivery of the work by closely interacting with the technical leads, developers, XD and PO in the team in addition to the stakeholders that include Product teams in TechOps and Business stakeholders. The data platform team plays a key role to drive the change and build better products, solutions and process to make sure Thoughtworks achieves enduring commercial success and sustained growth and our business and operational leaders are able to make better business decisions and take faster actions, enabled by trustworthy insights & data. Articulate the business value and outcomes from the relatively tech focussed ecosystem that the team works in. Help in ideating and creating a product roadmap that aligns with the vision of a data enabled business. ● Able to manage and anchor multiple streams of work on the data platform. Break the work into Epics, features and stories. Conduct estimations within the team. Able to inculcate agile and best practices within the team. Able to come up with release plans/ timelines and milestones to ensure that we deliver value incrementally. Can anchor showcases. Iteration management, Backlog management. Leading the day to day delivery of the data platform. Make sure we deliver on time. Collecting the requirements and feedback from platform users and tracking it to closure. Consulting the data platform users on best practices and sensible defaults. Collaborate with TLs on technical discussions and understand the outcomes and impact of decisions. Make sure the product support (zendesk) work is running efficiently in the team. Join in the conversation with BI tool (Sisense) Vendor to consult on evolving our product direction. Job qualifications Technical skills Interest and experience in working with big data stack (any set of technologies is fine) Knowledge of infra concepts and data mesh is a big plus . Strong knowledge of core software development tech like APIs, storage etc. You have a track record of delivering impactful software, ideally on a collaborative software delivery team. You have attention to detail, a practical approach to the day-to-day work of story-writing and delivery and can draw a line directly from an overarching client strategy to your team's outcomes. You enjoy unearthing the root cause(s) of a client's pain points, validating a business opportunity or problem and partnering to deliver a solution. You are well versed with Agile, Lean and Continuous Delivery methodologies and love to mentor others. You understand how businesses operate and have experience modeling business processes using a variety of tools and techniques to facilitate requirement elicitation sessions. You have a genuine passion for quality software and know how to get from sketch to code. Professional skills You have a knack for prioritization, obtaining buy-in from stakeholders, and resolving conflicts as they arise. Understand Data platform and data mesh. Be able to understand perspectives of BA's/ devs/ data analysts/data engineers of multiple domains to help understand pain areas and work with them /do consulting as required to address them. You're resilient and flexible in ambiguous situations and enjoy solving problems from technical and business perspectives. An interest in coaching others, sharing your experience and knowledge with teammates. Other things to know Learning & Development There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys. About Thoughtworks Thoughtworks is a global technology consultancy that integrates strategy, design and engineering to drive digital innovation. For over 30 years, our clients have trusted our autonomous teams to build solutions that look past the obvious. Here, computer science grads come together with seasoned technologists, self-taught developers, midlife career changers and more to learn from and challenge each other. Career journeys flourish with the strength of our cultivation culture, which has won numerous awards around the world. Join Thoughtworks and thrive. Together, our extra curiosity, innovation, passion and dedication overcomes ordinary. See here our AI policy.", "summaryDescription" : "Senior Data Business Analyst at Referrals Only", "postedDate" : "2026-06-15T23:26:49.616", "createdAt" : "2026-06-15T23:26:49.616", "lastUpdated" : "2026-06-16T07:54:23.901", "ingestTimestamp" : "2026-06-15T23:26:49.616", "mongoId" : "6a305a85f292fd229cf52161", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Story writing", "Requirement elicitation", "Prioritization", "Stakeholder management", "Conflict resolution", "Business process modeling", "Agile", "Lean", "Continuous Delivery", "Epics", "Features", "Stories", "Release plans", "Milestones", "Iteration management", "Backlog management", "Data platform", "Data mesh", "Sisense" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "69f9b8024c40e2acd1113f6e", "title" : "Contracts Specialist, Business and Product Operations", "company" : "Amazon Web Services", "industry" : "Corporate Operations, Sales Operations Job Family, Cloud Computing", "salary" : { "min" : 115500.0, "max" : 165000.0, "currency" : "AUD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Contracts Specialist in Sydney, Australia, within the Technology industry, adjusted for Amazon Web Services' company size and market position." }, "location" : "Sydney, New South Wales, AUS", "locations" : [ "Sydney, New South Wales, AUS" ], "timestamp" : "2026-06-15T01:22:54.901", "fingerprint" : "42724638e7d9653a554959f5e61ead633cc7391fe9657b6361e92d970a6f1d11", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10410577/apply", "externalId" : "a138ded6-cef7-40b3-9a44-e21173548a50", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sydney", "state" : "New South Wales", "country" : "Australia", "continent" : "oc", "source" : "llm", "workMode" : "onsite", "geo" : "-33.8698439,151.2082848" } ], "locationText" : "Sydney, New South Wales, Australia", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "professionalSkills" : [ "Contract drafting", "Policy compliance", "Operational guidance" ], "hardSkillsList" : [ "Contract review", "Contract drafting", "Risk identification" ], "softSkillsList" : [ "Inquisitive", "Sound judgment", "Problem-solving skills", "Attention to detail" ], "hardSkills" : [ { "name" : "Contract review", "level" : "intermediate" }, { "name" : "Contract drafting", "level" : "intermediate" }, { "name" : "Risk identification", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Inquisitive" }, { "name" : "Sound judgment" }, { "name" : "Problem-solving skills" }, { "name" : "Attention to detail" } ], "majorSkills" : "Contract management, Stakeholder management, Process improvement", "majorSkillsList" : [ "Contract management", "Stakeholder management", "Process improvement" ], "coreResponsibilities" : "Own the contracting process, Create documentation, Gather approvals, Validate approvals, Track status, Communicate between key stakeholders, Identify scope risks, Identify delivery risks, Ensure policy compliance, Engage with ICON, Engage with global BPO team, Engage with senior stakeholders, Engage with business partners, Draft key commercial contract terms, Communicate daily with cross functional teams, Identify operational improvements, Assist to implement operational improvements, Meet business requirements, Be part of ICON projects, Become contract creation subject matter expert, Lead contract drafting of SOWs, Lead contract drafting of WOs, Lead contract drafting of WOAs, Act as trusted advisor, Consult with stakeholders on contracting matters, Liaise daily with business partners, Ensure SOWs meet project deliverables, Ensure SOWs meet contract requirements, Ensure SOWs meet legal requirements, Connect with the APJ ICON team, Connect with the global ICON team, Identify policy improvements, Simplify policy improvements, Identify process improvements, Simplify process improvements", "teamCollaboration" : "Cross functional teams; Business partners; AWS Legal; ICON team; Global ICON team", "domainKnowledge" : "Technology licensing; Service contracts; Commercial contracts; Cloud computing", "domainList" : [ "technology-licensing", "service-contracts", "commercial-contracts", "cloud-computing" ], "domainSpecificKnowledge" : [ "Technology licensing", "Service contracts", "Commercial contracts", "Cloud computing" ], "documentationSkills" : "Drafting Statements of Work; Drafting Work Orders; Drafting Work Order Amendments", "innovationCreativity" : "Continuous improvement", "problemSolvingSkills" : "Problem-solving skills", "qualificationsBasic" : "Bachelor's degree in Finance, Economics, Statistics, Business, or a related field, Experience reviewing and drafting contract terms in technology licensing and service contracts, or a broad range of standard commercial contracts", "qualificationsPreferred" : "Experience working with or having knowledge of cloud computing and existing cloud technologies, Experience working within a high-growth technology company", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "For over 11 years, Amazon Web Services (“AWS”) has been the world’s most comprehensive and broadly adopted cloud platform. AWS offers over 100 fully featured services to millions of active customers around the world—including the fastest-growing startups, largest enterprises, and leading government agencies—to power their infrastructure. The Business and Product Operations (BPO) team is a diverse team that supports infrastructure and other foundational initiatives that span and support Sales (AWS Professional Services), Marketing and Support teams within AWS. We are looking for a Contract Specialist to support AWS Professional Services, for both public and commercial sectors, and AWS Legal by drafting Statements of Work (SOW), Work Orders (WO) and Work Order Amendments (WOA) to support AWS Professional Services in the Asia Pacific and Japan (APJ) region during the contract creation and drafting process. This is a unique role, with similar functions to a business operations analyst and a contract analyst. Therefore, we are looking for a motivated self-starter who’s passionate about contracts, has an eye for detail, and has the right level of contract drafting skills allowing them to work autonomously and efficiently in a fast-paced environment. - The candidate will work side by side with ICON, Sales Enablement, Business Process Managers, Business Operations, and AWS Legal to ensure contracts meet AWS’s high standards for contract and legal requirements. - They will also support AWS Professional Services by providing operational, contract, policy compliance and guidance, enabling them to provide a positive customer experience. - The successful candidate must be inquisitive, enthusiastic, like being continually challenged, demonstrate sound judgment, possess problem-solving skills and have attention to detail. They should be able to manage the contracting process from request through to signature, identify potential risks in their contracts, and be able to recommend and implement improvements to the contract work-flow. - The candidate will also need to earn trust with a broad range of stakeholders and business partners, and act as a trusted advisor to consult with stakeholders on contracting matters. Key job responsibilities • Own the contracting process, creating documentation, gathering and validating approvals, tracking status, and communication between key stakeholders • Ability to identify scope and delivery risks, and ensure policy compliance • Engage with ICON, global BPO team, senior stakeholders, and business partners in the APJ region • Drafting key commercial contract terms within an SOW, WO, and WOA. • Communicate daily with cross functional teams including Sales, Legal, Operations, and Management • Identify and assist to implement operational improvements and enhancements that meet business requirements • Be a part of ICON projects for continuous improvement • Become the contract creation subject matter expert A day in the life • Lead contract drafting of SOWs, WOs, and WOAs • Act as trusted advisor to customers on operations, contracts, and policies for the end-to-end contract work-flow • Liaise daily with business partners to ensure SOWs meet project deliverables, contract and legal requirements • Connect and collaborate with the APJ ICON team (and broader global ICON team) to identify and simplify policy and process improvements About the team About the team The ICON team provides contract support services to the AWS Professional Service team (Sales) for both public and private sector. Following the sun, we have teams located in AMER (Seattle), EMEA (Dublin) and APAC (Sydney and Japan). Basic Qualifications: - Bachelor's degree in Finance, Economics, Statistics, Business, or a related field - Experience reviewing and drafting contract terms in technology licensing and service contracts, or a broad range of standard commercial contracts Preferred Qualifications: - Experience working with or having knowledge of cloud computing and existing cloud technologies - Experience working within a high-growth technology company Acknowledgement of country: In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today. IDE statement: 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.", "summaryDescription" : "Contracts Specialist, Business and Product Operations at Amazon Web Services. Skills: Contract management, Stakeholder management, Process improvement. Own the contracting process. Create documentation", "postedDate" : "2026-06-13T04:22:56.060", "createdAt" : "2026-06-13T04:22:56.060", "lastUpdated" : "2026-06-15T01:22:54.901", "ingestTimestamp" : "2026-06-13T04:22:56.060", "mongoId" : "69f9b8024c40e2acd1113f6e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10410577/apply", "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Contract review", "Contract drafting", "Risk identification", "Inquisitive", "Sound judgment", "Problem-solving skills", "Attention to detail", "Contract management", "Stakeholder management", "Process improvement", "Policy compliance", "Operational guidance", "Technology licensing", "Service contracts", "Commercial contracts", "Cloud computing" ], "skillCount" : 16, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69fda4e74c40e2acd1b99b8b", "title" : "Data Engineer, AIR DABI (Data Analytics and Business Intelligence)", "company" : "Amazon.com Services LLC", "industry" : "Database Administration, Data Engineering, transportation and logistics", "salary" : { "min" : 101000.0, "max" : 160000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Bellevue, Washington, USA", "locations" : [ "Bellevue, Washington, USA" ], "timestamp" : "2026-06-15T03:34:52.489", "fingerprint" : "f5761f1a8ae6ba0cd457533ce16979448f146e28d2ca815c6657d28a8854a628", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10411675/apply", "externalId" : "93b92467-2d61-4650-83f6-05d9f36c35e2", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bellevue", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6144219,-122.1923370" } ], "locationText" : "Bellevue, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala, Python, KornShell, AWS, Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, IAM, Hadoop, Apache Spark, GenAI, LLM", "professionalSkills" : [ "Data modeling", "Database architecture", "Business analysis", "Data transformation", "Data integration", "Data architecture", "Generative AI" ], "hardSkillsList" : [ "ETL processes", "Data integration", "Data pipelines", "Data modeling", "Database management", "Data warehousing", "Data transformation", "Data analysis" ], "hardSkills" : [ { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "Data integration", "level" : "intermediate" }, { "name" : "Data pipelines", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Database management", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" } ], "majorSkills" : "Data Engineering, ETL/ELT, AWS, Generative AI", "majorSkillsList" : [ "Data Engineering", "ETL/ELT", "AWS", "Generative AI" ], "coreResponsibilities" : "Design ETL/ELT processes, Implement ETL/ELT processes, Create data integration solutions, Transform business requirements, Develop data pipelines, Maintain data pipelines, Identify data infrastructure challenges, Resolve data infrastructure challenges, Collaborate with cross-functional teams, Drive data-driven decision-making, Contribute to GenAI infrastructure development, Contribute to data foundations development, Design data architectures, Implement data architectures, Support generative AI applications, Support LLM workflows, Leverage GenAI tools, Accelerate development, Accelerate testing", "teamCollaboration" : "Cross-functional teams; Analysts; Business Intelligence Engineers; Data Scientists; SDEs; Business teams", "domainKnowledge" : "Data warehouse environment; Global logistics; Air transportation network; Generative AI applications; LLM workflows", "domainList" : [ "data-warehouse-environment", "global-logistics", "air-transportation-network", "generative-ai-applications", "llm-workflows" ], "domainSpecificKnowledge" : [ "Data warehouse environment", "Global logistics", "Air transportation network", "Generative AI applications", "LLM workflows" ], "toolProficiency" : [ "AWS", "Redshift", "S3", "AWS Glue", "EMR", "Kinesis", "FireHose", "Lambda", "IAM", "Hadoop", "Apache Spark", "Amazon Q" ], "innovationCreativity" : "Technical innovation", "problemSolvingSkills" : "Problem-solving", "qualificationsBasic" : "2+ years data engineering experience, Data modeling experience, Warehousing experience, Building ETL pipelines experience, SQL experience, PL/SQL experience, DDL experience, MDX experience, HiveQL experience, SparkSQL experience, Scala experience, Python experience, KornShell experience, GenAI/LLM tools familiarity", "qualificationsPreferred" : "Data engineer experience, Software engineer experience, Business intelligence engineer experience, Data scientist experience, Manipulating large datasets experience, Processing large datasets experience, Extracting value from large datasets experience, Hadoop experience, Apache Spark experience, Data warehouse technical architecture knowledge, Data warehouse infrastructure components knowledge, ETL knowledge, Reporting tools knowledge, Analytic tools knowledge, Data schema design knowledge, Data schema implementation knowledge, Normalization knowledge, Relational model knowledge, Dimensional model knowledge, Redshift experience, S3 experience, AWS Glue experience, EMR experience, Kinesis experience, FireHose experience, Lambda experience, IAM roles experience, IAM permissions experience, Informatica experience, ODI experience, SSIS experience, BODI experience, Datastage experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Do you want to join one of the most exciting teams at the world's most customer-centric company? Then come soar with Amazon Air! AIR's Data, Analytics and Business Intelligence (DABI) team aims to offer the data infrastructure and data applications, processes, and practices that enable the AIR business to leverage its capacity, speed, quality of service, and organic infrastructure to delight Amazon customers worldwide. We are looking for an experienced, innovative Data Engineer to work in a large and complex data warehouse environment. You should be passionate about working with disparate datasets and love bringing data together to answer business questions. You should have deep expertise in creating and managing datasets and a proven ability to translate data into meaningful insights through collaboration with Analysts, Business Intelligence Engineers, Data Scientists, SDEs, and business teams across the Amazon AIR organization. In this role, you will own end-to-end development of data engineering solutions to complex questions and play a critical role in strategic decision-making. The right candidate will possess excellent technical ability in relational database management systems and database architecture, solid business and communication skills, and the ability to work with business owners to develop and define key business questions, collaborate with external data vendors to onboard new datasets, and analyze data effectively. Key job responsibilities - Design and implement robust ETL/ELT processes using AWS big data technologies - Create scalable data integration solutions that transform complex business requirements into actionable insights - Develop and maintain high-performance data pipelines that support critical business intelligence needs - Proactively identify and resolve data infrastructure challenges to enhance system reliability - Collaborate with cross-functional teams to drive data-driven decision-making strategies - Contribute to the development and maintenance of AIR's GenAI infrastructure and data foundations - Design and implement data architectures that support generative AI applications and LLM workflows - Leverage GenAI tools (e.g., Amazon Q, coding assistants) to accelerate development and testing A day in the life Your day will be a dynamic blend of technical innovation and collaborative problem-solving. You'll dive into complex datasets, design elegant data pipelines, and work alongside cross-functional teams to unlock actionable intelligence that shapes the future of global logistics. About the team We are a passionate group of data professionals dedicated to transforming raw information into strategic insights. Our team thrives on collaboration, innovation, and a shared commitment to solving complex challenges that directly impact Amazon's global air transportation network. Basic Qualifications: - 2+ years of data engineering experience - Experience with data modeling, warehousing and building ETL pipelines - Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala) - Experience with one or more scripting language (e.g., Python, KornShell) - Familiarity with leveraging GenAI/LLM tools to improve development productivity Preferred Qualifications: - Experience as a data engineer or related specialty (e.g., software engineer, business intelligence engineer, data scientist) with a track record of manipulating, processing, and extracting value from large datasets - Experience with big data processing technology (e.g., Hadoop or ApacheSpark), data warehouse technical architecture, infrastructure components, ETL, and reporting/analytic tools and environments - Knowledge of basics of designing and implementing a data schema like normalization, relational model vs dimensional model - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions - Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, 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 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, Bellevue - 101,300.00 - 160,000.00 USD annually", "summaryDescription" : "Data Engineer, AIR DABI (Data Analytics and Business Intelligence) at Amazon.com Services LLC. Skills: Data Engineering, ETL/ELT, AWS, Generative AI. Design ETL/ELT processes. Implement ETL/ELT processes", "postedDate" : "2026-06-13T17:21:09.499", "createdAt" : "2026-06-13T17:21:09.499", "lastUpdated" : "2026-06-15T03:34:52.489", "ingestTimestamp" : "2026-06-13T17:21:09.499", "mongoId" : "69fda4e74c40e2acd1b99b8b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10411675/apply", "salaryAnnualMin" : 101000, "salaryAnnualMax" : 160000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "ETL processes", "Data integration", "Data pipelines", "Data modeling", "Database management", "Data warehousing", "Data transformation", "Data analysis", "Data Engineering", "ETL/ELT", "AWS", "Generative AI", "Database architecture", "Business analysis", "Data architecture", "Data warehouse environment", "Global logistics", "Air transportation network", "Generative AI applications", "LLM workflows", "Redshift", "S3", "AWS Glue", "EMR", "Kinesis", "FireHose", "Lambda", "IAM", "Hadoop", "Apache Spark", "Amazon Q" ], "skillCount" : 31, "jobCategory" : "data", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a305640f292fd229cf264f5", "title" : "Senior Product Data Scientist", "company" : "Delivery Hero", "industry" : "Internet", "salary" : { "min" : 65000.0, "max" : 95000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Product Data Scientist in Barcelona, Spain, adjusted for the e-commerce industry and company size." }, "location" : "Barcelona, Spain", "locations" : [ "Barcelona", "Spain" ], "timestamp" : "2026-06-16T09:25:51.107", "fingerprint" : "8c310e76553fb842efef88827cd874ad2680229fa565cc59a4637e3cddb8113f", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/DeliveryHero/744000132161891-senior-product-data-scientist", "externalId" : "744000132161891", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Barcelona", "country" : "Spain", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "41.3825802,2.1770730" } ], "locationText" : "Barcelona, Spain", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "SQL, Python, Pandas, SciPy, Seaborn, Jupyter, IPython, Tableau, Looker, PowerBI, Machine Learning, Deep Learning, Reinforcement Learning, Game Theory, Statistical Inference, Bayesian Statistics, Causal Inference, Time Series Analysis, Decision Theory, Mathematical Optimisation, Supervised Learning, Unsupervised Learning", "professionalSkills" : [ "Quantitative analysis", "Product development", "Data-driven insights", "Decision-making", "Agile methodologies" ], "hardSkillsList" : [ "Statistical modeling", "Advanced analytics", "Experiment design", "Experiment analysis" ], "hardSkills" : [ { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Advanced analytics", "level" : "intermediate" }, { "name" : "Experiment design", "level" : "intermediate" }, { "name" : "Experiment analysis", "level" : "intermediate" } ], "majorSkills" : "Product Data Science, Machine Learning, Statistical Modeling", "majorSkillsList" : [ "Product Data Science", "Machine Learning", "Statistical Modeling" ], "coreResponsibilities" : "Leverage advanced statistical modeling, Leverage machine learning techniques, Solve product problems, Solve business problems, Work closely with multi-disciplinary teams, Define product roadmap, Define product strategy, Monitor product metrics, Monitor product KPIs, Give visibility of product metrics, Give visibility of product KPIs, Drive product discovery, Formulate data-driven hypotheses, Convert hypotheses into analysis, Convert hypotheses into actionable insights, Own analytics tasks end to end, Foster relationships with stakeholders, Act as strategic link, Act as supportive link", "teamCollaboration" : "Multi-disciplinary teams; Technology; Business; Product", "projectManagementSkills" : [ "Agile methodologies", "Roadmap" ], "domainKnowledge" : "Digital product development", "domainList" : [ "digital-product-development" ], "domainSpecificKnowledge" : [ "Digital product development" ], "toolProficiency" : [ "Tableau", "Looker", "PowerBI", "Pandas", "SciPy", "Seaborn", "Jupyter", "IPython" ], "continuousLearning" : "External learning budget", "problemSolvingSkills" : "Data-driven hypotheses; Actionable insights", "qualificationsBasic" : "6+ years of professional experience, Higher education in scientific discipline, Knowledge and experience in digital product development, Demonstrable experience with statistical modeling, Deep theoretical and applied knowledge in ML/statistics, Good understanding of software development, Mastery in SQL, Mastery in statistical programming (Python), Experience working with Pandas, Experience working with SciPy, Experience working with Seaborn, Experience working with Jupyter/iPython notebooks, Demonstrated experience in designing experiments, Demonstrated experience in analyzing experiments, Knowledge of visualization tools", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : false, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Glovo is part of the Delivery Hero Group, the world’s pioneering local delivery platform, our mission is to deliver an amazing experience—fast, easy, and to your door. We operate in around 70 countries worldwide. Headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index. YOUR MISSION As a part of the data organization you will work to ensure customers have an excellent experience when ordering through the Glovo app. You will work on problems related to recommendations, pricing, customer retention and more. You will be responsible for nurturing a strong experimentation culture, work on discoveries that drive the product roadmap and build solutions that impact millions of customers. THE JOURNEY Be part of a team where you will: * Leverage advanced statistical modeling and machine learning techniques to solve for product and business problems that drive the highest impact. * Work closely with multi-disciplinary teams to define the product roadmap and strategy, monitor and give visibility of product metrics and KPIs. * Drive product discovery, formulate data-driven hypotheses and convert them into analysis and actionable insights. * Own analytics tasks end to end in the product development cycle: from ideation and opportunity sizing to experimentation and post-launch impact analyses. * Foster strong relationships with stakeholders acting as a strategic and supportive link between the technology, business, and product. ## Qualifications WHAT YOU WILL BRING TO THE RIDE Requirements: * 6+ years of professional experience outside of an academic and internship setting, in a quantitative analysis role, preferably in product facing teams * A higher education in a scientific discipline such as Physics, Statistics, Computer Science, Mathematics or Economics. * Knowledge and experience in digital product development and working with diverse stakeholders * Demonstrable experience with the application of statistical modeling and advanced analytics to provide product-shaping insights and drive decision-making * Deep theoretical and applied knowledge in at-least one of the following areas: supervised and unsupervised learning, deep learning, reinforcement learning, game theory, statistical inference, bayesian statistics, causal inference, time series analysis, decision theory, mathematical optimisation * Good understanding of software development and agile methodologies * Mastery in SQL and statistical programming (Python) and experience working with popular libraries such as Pandas, SciPy, Seaborn, Jupyter/iPython notebooks * Demonstrated experience in designing and analyzing experiments in digital products (A/B test, multivariate, etc) * Knowledge of visualization tools like Tableau, Looker, PowerBI * Excellent spoken and written English Individuals representing diverse profiles, encompassing various [genders](https://hbr.org/2014/08/why-women-dont-apply-for-jobs-unless-theyre-100-qualified), ethnicities, and backgrounds, are less likely to apply for this role if they do not possess solid experience in 100% of these areas. Even if it seems you don't meet our musts don't let it stop you, we are all about finding the best talent out there! Skills can be learned, and embracing diversity is invaluable. We believe driven talent deserves: * \uD83C\uDF1F An enticing equity plan (dependent on level) that lets you own a piece of the action. * \uD83D\uDCAA Top-notch private health insurance to keep you at your peak. * \uD83C\uDF54 Monthly Glovo credit to satisfy your cravings! * \uD83D\uDCB3 Discounts on transportation, food, and even kindergarten expenses. * \uD83C\uDFCA Wellhub membership to keep you energised. * \uD83C\uDFD6️Flexible time off, the freedom to work from home two days a week, and the opportunity to work from anywhere for up to three weeks a year! * \uD83D\uDC6A Enhanced parental leave, and office-based nursery. * \uD83E\uDDE0 Online therapy and wellbeing benefits to ensure your mental well-being. * \uD83D\uDCDA An external learning budget to fuel your thirst for knowledge and personal growth. Here in Glovo, we thrive on diversity, we believe it enhances our teams, products, and culture. We know that the best ideas come from a mashup of brilliant diverse minds. This is why we are committed to providing equal opportunities to talent from all backgrounds - all genders, racial/diverse backgrounds, abilities, ages, sexual orientations and all other unique characteristics that make you YOU. We will encourage you to bring your authentic self to work, fostering an inclusive environment where everyone feels heard. Feel free to note your pronouns in your application (e.g., she/her/hers, he/him/his, they/them/theirs, etc). So, ready to take the wheel and make this the ride of your life? Delve into our culture by taking a peek at our [Instagram](https://www.instagram.com/lifeatglovo/) and checking out our [Linkedin](https://www.linkedin.com/company/glovo-app/) and [website](https://about.glovoapp.com/)! ## Additional Information At Glovo, your success is defined by both results and behaviors. We hire for excellence in craft and for the Leadership Principles that shape how we think, decide, and collaborate. What you achieve matters and how you achieve it defines us. Together, they move the business forward and deliver great experiences. Learn more about our Leadership Principles[ here](https://careers.deliveryhero.com/leadership-principles). Here at Glovo, we thrive on diversity, we believe it enhances our teams, products, and culture. We know that the best ideas come from a mashup of brilliant diverse minds. This is why we are committed to providing equal opportunities to talent from all backgrounds – all genders, racial/diverse backgrounds, abilities, ages, sexual orientations and all other unique characteristics that make you YOU. We will encourage you to bring your authentic self to work, fostering an inclusive environment where everyone feels heard. Feel free to note your pronouns in your application (e.g., she/her/hers, he/him/his, they/them/theirs, etc). So, ready to take the wheel and make this the ride of your life? Delve into our culture by taking a peek at our [Instagram](https://www.instagram.com/lifeatglovo/) and check out our [LinkedIn](https://www.linkedin.com/company/glovo-app/) and [website](https://about.glovoapp.com/)!", "summaryDescription" : "Senior Product Data Scientist at Delivery Hero. Skills: Product Data Science, Machine Learning, Statistical Modeling. Leverage advanced statistical modeling. Leverage machine learning techniques", "postedDate" : "2026-06-15T10:09:07.000", "createdAt" : "2026-06-15T23:41:51.034", "lastUpdated" : "2026-06-16T09:25:51.107", "ingestTimestamp" : "2026-06-15T23:41:51.034", "mongoId" : "6a305640f292fd229cf264f5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Statistical modeling", "Advanced analytics", "Experiment design", "Experiment analysis", "Product Data Science", "Machine Learning", "Statistical Modeling", "Quantitative analysis", "Product development", "Data-driven insights", "Decision-making", "Agile methodologies", "Roadmap", "Digital product development", "Tableau", "Looker", "PowerBI", "Pandas", "SciPy", "Seaborn", "Jupyter", "IPython" ], "skillCount" : 22, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2a531174d8ee00a05fcb8d", "title" : "Director, Product Management, Customer Security Outcomes", "company" : "Zscaler", "industry" : "Cybersecurity", "salary" : { "min" : 245000.0, "max" : 355000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Director, Product Management in the Cybersecurity industry in the USA, adjusted for seniority and company size." }, "location" : "Remote - USA", "locations" : [ "Remote - USA" ], "timestamp" : "2026-06-13T02:57:01.599", "fingerprint" : "6733c4731064f97d424ff2db4ee1c268017ec0be8438b8397f827404e91eb48b", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/zscaler/jobs/5149191007", "externalId" : "5149191007", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "experienceLevel" : "Director", "technicalSkills" : "AI, ML, AI-driven solutions", "professionalSkills" : [ "Product strategy", "Roadmap development", "User stories", "Cross-functional collaboration", "Security operations", "Service delivery", "Threat detection", "Risk assessment", "Cyber operations", "Managed investigation", "Managed response", "Threat hunting", "Advisory services", "Product management" ], "hardSkillsList" : [ "AI/ML technologies", "Detection and response", "Managed services delivery", "Security market analysis", "Vendor landscape analysis", "Automation technologies", "Threat detection technologies", "Response technologies", "Data-driven planning", "Customer-facing skills" ], "softSkillsList" : [ "Leadership", "Problem-solving", "Ownership", "Integrity", "Accountability", "Urgency", "Growth mindset", "Candor", "Clarity", "Respect" ], "hardSkills" : [ { "name" : "AI/ML technologies", "level" : "intermediate" }, { "name" : "Detection and response", "level" : "intermediate" }, { "name" : "Managed services delivery", "level" : "intermediate" }, { "name" : "Security market analysis", "level" : "intermediate" }, { "name" : "Vendor landscape analysis", "level" : "intermediate" }, { "name" : "Automation technologies", "level" : "intermediate" }, { "name" : "Threat detection technologies", "level" : "intermediate" }, { "name" : "Response technologies", "level" : "intermediate" }, { "name" : "Data-driven planning", "level" : "intermediate" }, { "name" : "Customer-facing skills", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Problem-solving" }, { "name" : "Ownership" }, { "name" : "Integrity" }, { "name" : "Accountability" }, { "name" : "Urgency" }, { "name" : "Growth mindset" }, { "name" : "Candor" }, { "name" : "Clarity" }, { "name" : "Respect" } ], "majorSkills" : "Product vision, Product strategy, Security operations services, AI/ML integration", "majorSkillsList" : [ "Product vision", "Product strategy", "Security operations services", "AI/ML integration" ], "coreResponsibilities" : "Define product vision, Define product strategy, Document product vision, Document product strategy, Set security operations outcomes, Set security operations measures, Partner with Customer Security Operations, Partner with Product teams, Implement features, Represent Zscaler as visionary, Participate in customer advisory boards, Manage critical incidents, Manage escalations, Collaborate with Product Marketing, Establish Zscaler as industry leader", "teamCollaboration" : "Customer Security Operations teams; Product teams; Product Marketing teams; Cross-functional teams", "projectManagementSkills" : [ "Roadmap development" ], "domainKnowledge" : "Cybersecurity; AI; ML; Zero Trust Exchange; Cloud-native platform; Cyberattacks; Data loss; Security service delivery; Threat detection; Risk/exposure; Cyber operations; Managed investigation; Managed response; Threat hunting; Advisory services; Generative AI; Agentic workflows; MCP", "domainList" : [ "cybersecurity", "ai", "ml", "zero-trust-exchange", "cloud-native-platform", "cyberattacks", "data-loss", "security-service-delivery", "threat-detection", "risk-exposure", "cyber-operations", "managed-investigation", "managed-response", "threat-hunting", "advisory-services", "generative-ai", "agentic-workflows", "mcp" ], "domainSpecificKnowledge" : [ "Cybersecurity", "AI", "ML", "Zero Trust Exchange", "Cloud-native platform", "Cyberattacks", "Data loss", "Security service delivery", "Threat detection", "Risk/exposure", "Cyber operations", "Managed investigation", "Managed response", "Threat hunting", "Advisory services", "Generative AI", "Agentic workflows", "MCP" ], "communicationSkills" : "Customer-facing; Thought leadership", "documentationSkills" : "Document vision; Document strategy", "continuousLearning" : "Growth mindset; Seeking feedback", "innovationCreativity" : "AI-forward enterprise; Leveraging AI; Innovators; Intelligent systems; AI amplification", "problemSolvingSkills" : "Problem-solver; Finding solutions; Solving hard problems", "outcomesObjectives" : "Deliver clear services; Deliver scalable services; Deliver measurable services; Deliver indispensable services; Set industry standard", "qualificationsBasic" : "8+ years detection and response, Deliver tech-led managed services, Run a Security Operations Center, In-depth security market understanding, In-depth vendor landscape understanding, In-depth automation understanding, In-depth threat detection understanding, In-depth response technologies understanding, Distill complex situations into data-driven plans, B2B experience in growth-stage business, Exceptional customer-facing skills", "qualificationsPreferred" : "Design strategic product roadmaps, Leverage generative AI, Automate incident summarization workflows, Accelerate customer security outcomes, Embrace agentic workflows, Embrace MCP background, View services through product lens", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Zscaler Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise, we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our cloud-native Zero Trust Exchange platform. This innovation protects our customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Here, impact in your role matters more than title and trust is built on results. We say, impact over activity. We seek innovators who actively use AI to amplify their impact and who thrive in an environment where we leverage intelligent systems to stay ahead of evolving threats. We believe in transparency and value constructive, honest debate—we’re focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on customer obsession, collaboration, ownership, and accountability. We value high-impact, high-accountability with a sense of urgency where you’re enabled to do your best work and embrace your potential. If you’re driven by purpose, thrive on solving complex challenges, and want to be part of the team that’s helping to secure the AI age, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity. Role We are looking for a Director, Product Management, Customer Security Outcomes to join our team. This is a fully remote U. S. role, reporting to the Sr. Director of Product Management in the Product Management department. This critical leadership role owns the product vision and strategy for Zscaler Security Operations, delivering clear, scalable, and measurable services that are highly differentiated and indispensable to our customers. You will sit at the intersection of our customers, security operations experts, and technology, ensuring Zscaler sets the industry standard for security service delivery. What you’ll do (Role Expectations) Define and document an aligned vision and strategy for the future of threat detection, risk/exposure, and cyber operations services based on market and customer feedback Set customer-driven, world-class security operations outcomes and measures across managed investigation, managed response, threat hunting, and advisory services Partner with Customer Security Operations and Product teams to implement features that deliver industry-leading security outcomes and ensure operational alignment Represent Zscaler as a customer-facing visionary thought leader, participating in executive customer advisory boards and managing critical incidents and escalations Collaborate with Product Marketing to establish Zscaler as the industry leader in security operations by setting the standard for understanding and achieving great security outcomes Who You Are (Success Profile) You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful. You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution. You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact. You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust. You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose. What We’re Looking for (Minimum Qualifications) Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain 8+ years of experience in detection and response with a background in delivering tech-led managed services at scale Proven operational experience running a Security Operations Center (SOC) with deep credibility among industry SOC leaders In-depth understanding of the security market, vendor landscape, automation, and threat detection and response technologies Demonstrated ability to distill complex situations into data-driven plans coupled with strong B2B experience within a growth-stage business and exceptional customer-facing skills What Will Make You Stand Out (Preferred Qualifications) Experience designing strategic product roadmaps that leverage generative AI to automate incident summarization workflows and accelerate customer security outcomes Tech-forward expertise embracing automation, AI, and modern methodologies such as agentic workflows and MCP Strong background viewing services through a product lens to effectively influence core product management and engineering teams #LI-Remote #LI-JG1 Zscaler’s salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training. The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits. Base Pay Range $199,500—$285,000 USD At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: Various health plans Time off plans for vacation and sick time Parental leave options Retirement options Education reimbursement In-office perks, and more! Learn more about Zscaler's hybrid working model and benefits here. By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.", "summaryDescription" : "Director, Product Management, Customer Security Outcomes at Zscaler. Skills: Product vision, Product strategy, Security operations services, AI/ML integration. Define product vision. Define product strategy", "postedDate" : "2026-06-11T16:57:49.674", "createdAt" : "2026-06-11T16:57:49.674", "lastUpdated" : "2026-06-13T02:57:01.599", "ingestTimestamp" : "2026-06-11T16:57:49.674", "mongoId" : "6a2a531174d8ee00a05fcb8d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 245000, "salaryAnnualMax" : 355000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "AI/ML technologies", "Detection and response", "Managed services delivery", "Security market analysis", "Vendor landscape analysis", "Automation technologies", "Threat detection technologies", "Response technologies", "Data-driven planning", "Customer-facing skills", "Leadership", "Problem-solving", "Ownership", "Integrity", "Accountability", "Urgency", "Growth mindset", "Candor", "Clarity", "Respect", "Product vision", "Product strategy", "Security operations services", "AI/ML integration", "Roadmap development", "User stories", "Cross-functional collaboration", "Security operations", "Service delivery", "Threat detection", "Risk assessment", "Cyber operations", "Managed investigation", "Managed response", "Threat hunting", "Advisory services", "Product management", "Cybersecurity", "AI", "ML", "Zero Trust Exchange", "Cloud-native platform", "Cyberattacks", "Data loss", "Security service delivery", "Risk/exposure", "Generative AI", "Agentic workflows", "MCP" ], "skillCount" : 49, "jobCategory" : "other", "jobSubcategory" : "take-off-team", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Cybersecurity" } ], "status" : 200, "message" : "translating data product capabilities and outcomes into clear business value narratives jobs", "metadata" : { "title" : "translating data product capabilities and outcomes into clear business value narratives" }, "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 69392, "totalPages" : 1388, "hasNext" : true, "hasPrevious" : false } }

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