Netflix Logo

Netflix

Product Manager, Ads Data Foundations

Posted One Month Ago
In-Office
Los Gatos, CA, USA
440K-725K Annually
Expert/Leader
In-Office
Los Gatos, CA, USA
440K-725K Annually
Expert/Leader
Own the vision, strategy, and roadmap for Netflix Ads Data Foundations. Define scalable data products, governance, privacy, compliance, quality, lineage, and access standards. Partner with engineering, data science, analytics, legal, privacy, sales, and product teams to deliver reliable datasets and frameworks supporting advertising systems. Establish adoption, reliability, and business-impact metrics while managing platform investments for diverse ads teams.
The summary above was generated by AI

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 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.


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 own Ads Data Foundations to define and drive the core data capabilities that power our advertising business. This role sits at the intersection of ads, data infrastructure, measurement, privacy, and platform product, and is responsible for working with our Ads Data Engineering team to deliver standardized, scalable, and discoverable datasets and frameworks. 


You treat data as a product, defining core facts and offering curated, reusable datasets unified across systems and producers. You champion data as a culture through ongoing communication, training, and documentation. You work across engineering, data science, analytics, privacy, legal, sales, and ads product teams to ensure our ads ecosystem is built on reliable, well-governed, and extensive data foundations. 


This PM will:
  • Define the vision, strategy, and roadmap for Ads Data Foundations, including the data product capabilities that support nearly 25 ads teams. 
  • Partner with Ads Product & Technology teams to understand business needs and translate them into durable platform investments.
  • Prioritize and manage the product roadmap, balancing near-term delivery with long-term strategic planning to provide scalable and flexible data solutions. 
  • Establish clear requirements and governance for data accuracy, lineage, freshness, access controls, and compliance.
  • Identify and mitigate risks related to privacy, data sharing, retention, compliance, and data misuse.
  • Define success metrics for dataset adoption, data quality, system reliability, and downstream business impact. 
  • Become an expert on our advertising data ecosystem, including low-latency, high-accuracy datasets, privacy, governance, and compliance with global ad regulations. 
  • Work with the Netflix Data Platform team to ensure the platform needs for Ads data are represented.

We’re seeking a candidate who has:
  • Experience: 10+ years of Product Management experience focused on data infrastructure, event-driven systems, warehouse/lake architectures, and large-scale distributed data pipelines.
  • Visionary Leadership: Demonstrated ability to deliver a comprehensive roadmap and vision for a large-scale data lakehouse, catering to diverse customer groups. 
  • Technical Acumen: Deep understanding of the advertising data ecosystem, familiarity with data privacy and governance, and proven ability to partner with highly technical teams across APIs, backend systems, and internal tools.
  • Collaborative Skills: Proven experience working with cross-functional teams, including Data & Insights, 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.

HQ

Netflix Los Gatos, California, USA Office

100 Winchester Circle, Los Gatos, CA, United States

Netflix San Jose, California, USA Office

San Jose, United States, 0

Netflix Santa Clara, California, USA Office

Santa Clara, United States, 0

Similar Jobs

An Hour Ago
Hybrid
San Francisco, CA, USA
69K-215K Annually
Senior level
69K-215K Annually
Senior level
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Underwrites complex Builders’ Risk and Inland Marine policies, evaluating construction projects, exposures, coverage, pricing, valuations, loss history, and catastrophe risks. Manages broker and client relationships, develops profitable business, monitors changing project exposures, and collaborates with Claims, Actuarial, Legal, Risk Engineering, and Product teams. Analyzes portfolio performance, improves underwriting processes and tools, communicates market trends, and mentors junior underwriters.
2 Hours Ago
Hybrid
160K-257K Annually
Expert/Leader
160K-257K Annually
Expert/Leader
Digital Media • Information Technology • News + Entertainment
Leads revenue growth and sales strategy across healthcare, pharmaceutical, and financial services advertising verticals. Builds senior client-direct and agency relationships, generates net-new demand, develops go-to-market plans, manages account strategies and forecasting, and translates industry trends into consultative media solutions. Partners cross-functionally to deliver advertising solutions and will eventually help build and lead a vertical sales team.
Top Skills: Ad TechDigital AdvertisingMultiscreen Tv Advertising
2 Hours Ago
Hybrid
100K-150K Annually
Senior level
100K-150K Annually
Senior level
Digital Media • Information Technology • News + Entertainment
Manages strategic DSP and programmatic advertising partner accounts, owning account strategy, revenue growth, upsells, renewals, retention, and satisfaction. Serves as the primary partner contact for onboarding, business reviews, troubleshooting, escalations, and campaign performance. Builds executive presentations, identifies growth opportunities, resolves operational and technical issues, and coordinates Product, Engineering, Sales, and other teams to deliver partner objectives and successful campaigns.
Top Skills: Ad-Tech PlatformsCtvDigital VideoDspsExcelMS OfficeOutlookPowerPointProgrammatic Advertising

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account