Product Manager L6, Data Platform - Analytics Experience

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.

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, build and operate data agents, and orchestrate data workflows at scale. 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, data quality tooling, and the developer experience for building data agents that can securely discover, query, and act on data. On the Workflow Orchestration side, you will own the end-to-end experience for defining, scheduling, executing, monitoring, and operating data workflows, including dependency management, backfills, retries, and workflow observability—making it easy for practitioners to reliably move data pipelines and agents from development to production.

Analytics engineers, data engineers, and data scientists will be your primary customers, with a focus on making it easier for them to build data assets, orchestrate reliable workflows, and develop data agents. Partnering closely with engineering, design, and data leaders, you will shape product direction and deliver impactful capabilities across developer productivity, workflow orchestration, data quality and observability, and AI-native development.

In this role, you will shape the future of Data Developer Experiences and Workflow Orchestration 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 developer productivity, workflow orchestration, reliability and observability, data quality, and AI-native development—including how practitioners build and operate data agents.

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