Product Manager, Machine Learning Architecture (Ads Platform)

Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

We recently launched a new ad-supported tier to offer our members with 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.

About the Role :

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

We're seeking a candidate who has :

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. The range for this role is $240,000 - $725,000.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off.

See more detail about our Benefits here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation / adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

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