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Netflix

Product Manager, Ads Platform (Experimentation Foundations)

Posted 2 Days Ago
Be an Early Applicant
In-Office
Seattle, WA, USA
440K-725K Annually
Expert/Leader
In-Office
Seattle, WA, USA
440K-725K Annually
Expert/Leader
Lead product vision and roadmap for Netflix Ads Laboratory Infrastructure to enable experimentation across supply and demand. Partner with engineering, data science, design, sales, ad ops, and legal to build scalable experiment lifecycle tooling, ensure high availability, self-monitoring, and data governance, and drive adoption while addressing privacy and regulatory requirements.
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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.

Our Team:

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. Our Laboratory Infrastructure provides scientists and other experimenters with the tools they need to quickly design, deploy, and conclude experiments across the Netflix Ad Suite.  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 drive the product vision and roadmap for Netflix Ads’ Laboratory Infrastructure for managing and optimizing the lifecycle of experiments, and platform capabilities for experimenters.

  • Design and maintain a robust laboratory infrastructure that supports a wide range of supply and demand-side experiments, enabling sophisticated experimentation with ad inventory, yield optimization, audience targeting, and advertising effectiveness.

  • Partner with engineering, data science, experimentation platform, design, sales, ad operations, marketing, strategy, policy, and legal teams to launch products that meet diverse customer requirements and increase adoption.

  • Prioritize and manage the product roadmap, balancing near-term delivery with long-term strategic planning to provide scalable and flexible solutions.

  • Engage with internal and external stakeholders to understand their needs and translate them into actionable product features and enhancements.

  • Develop self-monitoring systems capable of predicting issues before they arise, ensuring high availability and performance of the laboratory infrastructure.

  • Become an expert on our advertising data ecosystem, including low-latency, high-accuracy datasets, privacy, governance.

We’re seeking a candidate who has:
  • Experience: 10+ years of Product Management experience with a proven track record of launching and scaling foundational tech that supports the modeling of complex real-world concepts, and the life cycles of those objects.

  • Visionary Leadership: Demonstrated ability to deliver an ambitious roadmap and vision that paves the path for countless experimenters to reach conclusions quickly, reliably and safely.

  • Technical Acumen: Deep understanding of the advertising ecosystem, and familiarity with data privacy, and industry working practices. Deep understanding of experimentation in multi-sided marketplaces. Passion for understanding complex multi-system interactions.

  • Collaborative Skills: Proven experience working with cross-functional teams, including, Design, Engineering, Data Science, and other Product Teams.

  • Regulatory Knowledge: Familiarity with legal compliance and the evolving landscape of advertising 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 family, background, skills, and experience to determine your compensation in the market range. The range for this role is $440,000.00 - $725,000.00.

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 details about our Benefits here.

Netflix is a unique culture and environment. Learn more 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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