Hiring: Product Manager L6, Data Platform - Analytics Experience Company: Netflix Location: United States Job Posted Time: 2026-09-12 11:21:11 Target Skills & Keywords : API Design, Data Pipeline, JupyterLab, Machine Learning, Product Management, Python, SQL, User Experience, dbt About the job Experience: •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. Required Skills: •We are seeking a highly technical Product Manager to lead Data Developer & Analytics Experiences within the Analytics Platform & Experiences team. •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. Compensation: •Flexible work environment (work from home / hybrid options) Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!