About the Role
We are seeking a visionary Product Manager to own the strategy and execution of a foundational, composable machine learning infrastructure that powers every surface of the Netflix Ads Suite. This role is essential in enabling engineers, data scientists, sales, and operations teams to build and scale ML-driven features efficiently and responsibly.
You will build platforms for builders—APIs, SDKs, and UIs that streamline development and deliver unified, intuitive experiences across our ad tech ecosystem.
Key Responsibilities
- Define and drive the end-to-end product vision for a shared ML architecture that underpins all advertising surfaces at Netflix.
- Build and deliver reusable infrastructure (APIs, SDKs, UI components) that empowers product teams to integrate ML without reinventing the wheel.
- Establish strong governance frameworks, working closely with Legal and Privacy to ensure compliance, fairness, and safety in ML usage.
- Collaborate with Experience Design to create next-gen tools and agent-powered workflows that reduce complexity and eliminate repetitive tasks.
- Act as the connective tissue across teams—targeting, creative, reporting, and insights—to align roadmaps and eliminate silos.
- Integrate third-party platforms, enabling seamless interaction between the Netflix Ads Suite and existing customer tools.
- Define and measure success through metrics like platform adoption, workflow time reduction, and internal partner satisfaction.
What We are Looking For
- 10+ years of Product Management experience, ideally with a focus on platform technologies, machine learning, or advertising infrastructure.
- Strong technical depth, with a solid understanding of ML systems, modern advertising architecture, and large-scale software development.
- Proven leadership skills, with a track record of delivering product vision, strategy, and results across complex cross-functional teams.
- Excellent collaboration abilities, especially working across legal, privacy, engineering, design, data science, and partner technology teams.
- Deep understanding of global data privacy regulations and a commitment to responsible technology development.