Staff Product Designer, Data Platform - Analytics & Data Experience position at Netflix Inc.| United States Of America

Netflix Inc Staff Product Designer, Data Platform - Analytics & Data Experience

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Bachelor's (B.Sc.)

United States ..........United States Of America

Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.The Netflix Infrastructure Engineering organization drives business growth and innovation through a robust platform essential to Netflix’s scale and operations. Our Data Platform supports the full data lifecycle—from online data stores and movement to analytics—enabling data practitioners to build and use reliable datasets and insights with speed and confidence. It powers data‑driven decisions at global scale, letting teams focus on what truly matters: helping Netflix entertain the world.The OpportunityWe’re seeking a Staff Product Designer to shape the future of analytics and data experiences at Netflix. You’ll design intuitive, end‑to‑end workflows that help data and analytics engineers go from intent to trusted insight fast—reducing cognitive load, removing toil, and making the right path the easy path.You’ll create coherent journeys across discovery, development and orchestration, semantic and metrics modeling, and analysis and reporting—unifying experience among analytics tools and integrations, with minimal context switching and a consistent mental model. You’ll make relationships and dependencies intuitive (e.g., lineage across tables, models, metrics, and reports) and ground this work in observability and governance, so practitioners can trust what they build and use. Your work will help practitioners move faster with confidence, so they can focus on insight and impact.Working closely with product managers and engineers, you'll shape critical initiatives including:Semantic and metrics modeling for governed, consistent self‑serve analyticsAnalysis experiences spanning the semantic layer and BI/reporting tools, with strong defaults and guidanceUnified navigation and discovery across Analytics Portal, Data Portal, and related toolsSeamless continuity across UI, IDE/CLI, and APIs (consistent mental models and transitions across surfaces)Observability and troubleshooting for data pipelines and analytics workflows (e.g., job health, data freshness/quality, debugging)AI‑assisted exploration, insights, and visualization (e.g., conversational queries, guided analysis)This role lets you shape our design practices and define the future of analytics and data experiences at one of the world’s most innovative companies. If you're looking for a deeply technical and highly dynamic role that will transform how Netflix creates and uses trusted insights at scale, we'd love to talk to you!What You Will DoDesign Vision and StrategyLead design strategy for analytics and data experiences that span multiple teams, creating intuitive workflows that enhance practitioner productivityDefine, evolve, and drive adoption of design patterns and components that scale across the platformIdentify opportunities for innovation through user research and technical insightCreate cohesive, end-to-end experiences that reduce cognitive loadPartner with product and engineering to define and improve how we measure practitioner experiencesAnticipate emerging needs and help frame design problems earlyDesign Leadership and ExecutionDrive end-to-end design for interdependent data workflows (development, modeling, orchestration, analysis, troubleshooting), and influence cross-functional roadmapsCraft and validate prototypes that effectively communicate solutionsEstablish scalable design practices and foundational patternsScope and negotiate realistic deliverables with partnersMentor designers and partner teams; help grow shared understanding and adoption of effective design practicesCross-functional CollaborationPartner with, influence, and co-create long-term strategy with product and engineering leadership to drive critical data platform initiativesFacilitate design workshops and creative sessions with technical stakeholders and build consensus on complex strategic directionArticulate compelling design visions and build durable alignment with senior leadership, connecting technical challenges to business outcomesBuild strong relationships across platform teamsLead through influence across teams to create coherent, system‑wide experiences and align on shared goalsWhat We’re Looking ForIf you’re excited about this role but don’t meet every single requirement, we encourage you to apply. We value potential, transferable experience, and a learning mindset.Essential Experience and Skills8+ years as a Product Designer (or equivalent experience)Experience designing analytics/data platform tools, developer/data tools, or analogous complex technical productsStrong portfolio showing system‑level product work and the impact of your design leadership, including initiatives that span multiple teamsProven track record of leading design initiatives from concept to launchProficient in design tools (Figma, etc.) and prototyping technologiesStrong systems thinking and ability to design scalable solutions for complex data/analytics challengesLeadership and CollaborationSuccessfully led design strategy for complex technical productsProven track record of influencing and aligning cross-functional partners without direct authorityAbility to navigate ambiguity, create clarity, and move complex initiatives forward with partnersExcellence in communicating design decisions to technical audiencesDemonstrated success in mentoring designers and improving team practicesStrong ability to work autonomously and drive initiatives independentlySkill in sequencing and communicating long-term vision through incremental stepsAbility to collaborate effectively with engineers (coding skills not required)Technical UnderstandingLiteracy in analytics and data engineering workflows (e.g., Git‑based / dbt-style project patterns with tests, documentation, CI, and pre‑commit validation) and empathy for code‑first users in IDE/CLIFluency in semantic and metrics modeling and headless BI/semantic layer patterns; understanding of metric definition, reuse, and governanceAbility to integrate governed metrics into BI/reporting tools and design report‑builder UX with strong defaults and appropriate constraintsStrength in designing data‑dense, system‑oriented interfaces (e.g., lineage graphs, dependencies, metric lifecycle) with embedded trust signals (freshness, test status, ownership, change history)Understanding of permissions/entitlements, data contracts, and compliance constraints and their UX implicationsExperience identifying emerging shifts (e.g., semantic layer/metrics ecosystems, AI‑assist in analytics) and evolving UX accordinglyApplied AI/ML‑enhanced experiences a plus (e.g., conversational queries, guided analysis)ValuesContinuous learner passionate about design excellence and cultureSelf-motivated and autonomousMature approach to giving and receiving feedbackCollaborative and ego-free in technical discussionsComfortable with ambiguity and driving clarityMore About Infrastructure Engineering @ NetflixMIT CODE 2024 Practitioners Panel: Design & User Experience Perspectives(video)Netflix’s Distributed Counter Abstraction(techblog)Unifying the Netflix engineering experience with a federated platform console(video)Incremental Processing using Netflix Maestro and Apache Iceberg(techblog)Lessons from designing Netflix’s experimentation platform(video)Full Cycle Developers at Netflix -- Operate What You Build(techblog)Netflix Data Engineering Summit(techblog)Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top-of-market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $240,000 - $725,000.Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more detail about our Benefits here.Netflix is a unique culture and environment. Learn morehere.Inclusionis a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want anaccommodation/adjustmentfor a disability or any other reason during the hiring process, please send a request to your recruiting partner.We are an equal-opportunity employer and celebrate diversity, recognizing that diversitybuilds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.Job is open for no less than 7 days and will be removed when the position is filled.

Staff Product Designer, Data Platform - Analytics & Data Experience job opportunity at Netflix Inc.

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