Product Manager, Machine Learning Architecture; Ads Platform

Overview

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.

We recently launched a new ad-supported tier to offer our members more choice in how they consume their content. Our new tier allows us to attract new members at a lower price point, while also creating a compelling path for advertisers to reach audiences that are deeply immersed.

The Ads Platform team builds the advertising systems and integrations that power the delivery of ads using our world class content delivery ecosystem. We deliver ads in a manner that’s thoughtful of our members’ viewing experience and drives great outcomes for advertisers.

Our team is new and yet faced with the ambitions of building highly performant advertising systems and delivering high impact to our business by monetizing our incredible slate of content. As one of the newest entrants in the Connected TV advertising space that’s rapidly growing, we seek to build unique value propositions that differentiate Netflix from other ad-supported streaming services.

We are looking for a Product Manager in the advertising space who is excited to join us on this journey.

This PM will be responsible for building a new foundational technology that connects systems across Netflix Ads. We are seeking a visionary to lead the development and management of our composable machine learning infrastructure. This role is crucial in enabling our customers and colleagues to interact with modern ML systems seamlessly throughout their work. This means building for other builders; laying the foundations for our stunning colleagues across engineering, product, data science, sales, and operations.

This PM will:

• 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 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.
• You will orchestrate both the strategy and the shared platform that deliver uniform, intuitive, and high-impact experiences for every stakeholder.

• Experience:
  
  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.
• Technical Acumen:
  Deep understanding of the software and components that power modern advertising, and machine learning.
• 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.

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…