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Product Manager, Maching Learning Architecture (Ads Platform)

Netflix

$240,000 - $725,000
Sep 24, 2025
New York, NY, US
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Netflix is launching a new ad-supported tier and needs to build foundational technology and ML infrastructure to power its advertising systems, differentiate itself in the Connected TV advertising space, and monetize its content effectively.

Requirements

  • Deep understanding of the software and components that powers modern advertising, and machine learning.

Responsibilities

  • Define and own the end-to-end product vision for a shared ML architecture that spans every Netflix Ad Suite surface.
  • Deliver a platform (APIs, SDKs, UI) that our product teams can plug into without reinventing infrastructure.
  • Establish governance, privacy, and safety standards working closely with Legal, and Privacy to prevent “patchy ML” and ensure responsible outcomes.
  • Partner with Experience Design to invent next-gen workflows and agents that dramatically reduce task time and eliminate repetitive context switching.
  • Serve as the connective tissue across PMs in targeting, creatives, reporting, insights, and more; aligning roadmaps and eliminating duplicative work.
  • Integrate third-party applications and so that customers can interface with Netflix Ad Suite through systems they already know.
  • Define and track success metrics such as workflow time reductions, platform adoption, and partner satisfaction, iterating quickly based on data and feedback.

Other

  • 10+ years of Product Management experience with a proven track record of launching and scaling foundational tech infrastructures.
  • Visionary Leadership: Ability to deliver a comprehensive roadmap and vision for the future of machine learning supported workflows, catering to varied customer groups.
  • Collaborative Skills: Proven experience working with cross-functional teams, including operations teams, design, engineering, data foundations, privacy, legal, and external technology providers.
  • Regulatory Knowledge: Familiarity with legal compliance and the evolving landscape of data privacy regulations worldwide.