Job Description
At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.
Netflix’s Infrastructure Engineering organization provides the backbone that powers Netflix's global scale and operations across business verticals. Within this organization, Data, AI & Experimentation Platforms accelerate product velocity and business impact by providing cohesive, reliable foundations for data, analytics, machine learning, and experimentation. We reduce friction across the insight-to-production loop so teams can move from questions to decisions and from prototypes to shipped features quickly, with confidence, and with measurable outcomes.
We enable teams to build and scale ML-powered products end-to-end with AI platform capabilities for training, model management, evaluation, observability, developer tooling, and production inference. Our experimentation platform makes it easy to design, launch, monitor, and interpret experiments so teams can iterate faster and validate impact with statistical rigor and accountability.
Our data and analytics foundations make information usable and trustworthy: streamlined data movement (ingestion, streaming, processing), standardized online data stores for real-time serving, and analytics experiences that accelerate discovery while enforcing consistent metrics, quality, lineage, ownership, and access controls. Ultimately, we make data- and AI-driven product development faster, safer, and more dependable at scale so teams can focus on building great experiences that entertain the world.
The Opportunity
We are seeking a highly technical Product Manager to lead Data Developer & Analytics Experiences within the Analytics Platform & Experiences team.
Your primary mission is to deliver a unified, AI-native experience that spans how practitioners build data assets and how the broader organization consumes them. On the Data Developer side, you will own the practitioner "inner loop"; SQL and Python-first code authoring in AI-native IDEs (Cursor, Claude Code, JupyterLab), Python libraries, lifecycle and CLI tooling, and data quality tooling. On the Analytics experience side, you will also own the path from governed metrics to insight, including the Semantic Layer, visualization, and data application ecosystem, ensuring metrics are defined once and reliably reused everywhere.
Analytics engineers, data engineers, and data scientists will be your primary customers, while enabling business decision makers and insight builders to self-serve on governed, reusable metrics across tools. Partnering closely with engineering, design, and data leaders, you will shape product direction and deliver impactful capabilities across semantic modeling, developer productivity, and embedded GenAI.
In this role, you will shape the future of Analytics and Data Developer Experiences at Netflix by leading a high-impact product portfolio. You will operate with significant autonomy to set strategic direction, define multi-year roadmaps, and make high-leverage tradeoffs across semantic modeling, interactive performance, governance, developer productivity, and AI integration.
What makes this role exciting is the blend of strategic vision and hands-on leadership. You'll maintain a broad portfolio view while selectively diving deep where your expertise makes the biggest difference. Your success will be measured by enabling Netflix's growth, innovation, and competitive advantage, while delighting users with exceptional experiences that empower teams to work more efficiently and with greater satisfaction.
What You Will Do
As the Product Manager forAnalytics Experiences, you will have the following responsibilities:
- Set Direction: Develop a compelling long-term vision and strategy for your portfolio, aligning user needs with business objectives and industry trends for the Analytics Experiences.
- Champion Users: Build deep user understanding and empathy through regular engagement, research, and feedback loops to identify pain points and opportunities.
- Manage Roadmap: Develop and prioritize initiatives across the portfolio, from IDE-centric inner-loop productivity to centralize Semantic layer and conversational analytics, balancing immediate needs with strategic evolution.
- Guide Development: Partner with design and engineering to define requirements, create intuitive interfaces, and validate solutions that ensure cohesive user journeys across the platform ecosystem.
- Support Architecture: Partner with engineering on critical architecture decisions that ensure platform sustainability, scalability, and flexibility while strategically managing technical debt.
- Drive Adoption: Create effective rollout strategies and promote new capabilities through targeted communication, education, and roadshows, while providing comprehensive documentation, learning resources, and self-service tools that accelerate adoption and reduce support burden.
- Drive Improvement: Define success metrics centered on user delight and productivity gains, and implement tracking to continuously improve platform capabilities through data-informed experiments.
- Establish Governance: Develop platform standards and processes that balance flexibility with standardization and innovation with stability to maintain quality and consistency, including API design guidelines, versioning policies, and deprecation protocols.
- Align Stakeholders: Build strategic relationships and foster cross-functional collaboration to drive alignment and create shared ownership of outcomes.
What We’re Looking For
We value candidates who can balance strategic thinking with tactical execution, technical depth with user empathy, and decisive leadership with collaborative partnership. This role requires someone who thrives in ambiguity, can navigate complex technical and organizational landscapes, and ultimately delivers significant impact for your users and Netflix as a whole.
The successful candidate will demonstrate the following attributes and experiences:
Technical Excellence
- Expertise: 8+ years of Technical Product Management experience (or equivalent technical role) in complex technical domains. Comfortable discussing technical design trade-offs and system quality attributes with engineering teams.
- Domain Knowledge: Strong knowledge of modern analytics architectures and data developer tooling — including dbt based transformation workflows, a governed Semantic Layer, and performant query and visualization experiences (e.g., Tableau, Preset, Posit Connect); plus deep familiarity with the practitioner stack: IDEs and notebooks (Cursor, JupyterLab, VS Code), Python/SQL developer tooling, interactive compute environments, and data quality/observability frameworks.
- Curiosity: Demonstrated passion for Analytics with a pulse on emerging trends. Actively seeks new perspectives and brings fresh thinking to technical challenges. Regularly uses products and observes customers to identify improvement opportunities.
Product Leadership
- Strategic Vision: Proven track record of managing product portfolios in complex technical domains with clear vision and strategy to maximize portfolio impact. Skilled at connecting business objectives with user needs, balancing quick wins with strategic bets, and making thoughtful trade-offs.
- Customer Obsession: Deeply understands user needs through continuous engagement. Exceptional at identifying and articulating clear problem statements. Develops innovative solutions with strong product intuition and taste, thinking holistically about end-to-end user experience.
- Business Acumen: Understands how platform investments drive business outcomes. Articulates the ROI of technical investments in business terms and connects platform capabilities to Netflix's strategic priorities. Balances technical excellence with business pragmatism.
- Data Driven: Deeply analytical mindset that leverages quantitative and qualitative data to understand user behavior, validate assumptions, and inform product decisions. Builds a metrics-driven culture with clear success metrics to measure impact and drive continuous improvement.
- Decisive Leadership: Makes timely decisions that provide clear direction and reduce ambiguity without analysis paralysis. Shows conviction in product opinions while remaining open to new information. Removes decision bottlenecks and shields teams from unnecessary scope creep.
Collaboration & Influence
- First Team Player: Creates psychological safety through vulnerability and assuming best intent. Values diverse perspectives and operates with a collaborative mindset where team success trumps individual accomplishments. Skilled at giving and receiving feedback with a growth mindset.
- Stakeholder Alignment: Builds strong relationships across organizational boundaries based on mutual respect and shared goals. Navigates complex organizational dynamics to drive alignment. Adapts communication style to different audiences and contexts to maximize effectiveness.
- Influential Communication: Outstanding written and verbal communication skills with ability to influence and inspire. Great at rallying teams around a vision and motivating others to action.
Execution Excellence
- Delivery Focus: Builds reputation through consistent, high-quality delivery. Disciplined prioritization with clear timelines and accountability. Drives initiatives to completion rather than letting them linger. Comfortable making decisions with imperfect information and adjusting course as needed.
- Learning Mindset: Champions incremental learning and fast feedback loops with customers. Values progress over perfection and breaks down large initiatives into manageable increments that deliver value at each stage. Adapts quickly based on real-world user feedback.
We are an equal opportunity employer and celebrate diversity, recognizing that diversity of thought and background builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Our culture is unique, and we live by our values, so it’s worth learning more aboutNetflix culture.
More About Analytics Platform & Experience @ Netflix
- 100X Faster: How We Supercharged Netflix Maestro’s Workflow Engine
- Data Engineers of Netflix
- Part 1: A Survey of Analytics Engineering Work at Netflix
- Exploring Data @ Netflix
- Running Trino as exabyte-scale data warehouse
Generally, 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 $440,000.00 - $725,000.00. This compensation range will vary based on location.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 details about our Benefits here.
Netflix is a unique culture and environment. Learn more here.
Inclusionis a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for 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 diversity builds 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.
Originally posted on Himalayas
