Netflix Logo

Netflix

Product Manager, Ads Platform - Experimentation & Incrementality Measurement

Posted 7 Days Ago
In-Office
Los Gatos, CA, USA
440K-725K Annually
Senior level
In-Office
Los Gatos, CA, USA
440K-725K Annually
Senior level
Own ads experimentation and incrementality measurement products for advertisers, agencies, and measurement partners. Partner with engineering, UX, data science, sales, legal, and other teams to define strategy, prioritize the roadmap, launch products, and drive adoption. Apply causal inference and experimentation methodologies, including A/B testing, conversion lift, brand lift, multi-armed bandits, search lift, and geo lift, while supporting Netflix’s advertising measurement ecosystem.
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 be responsible for ads experimentation and incrementality measurement products. This role will focus on building measurement products for customers that utilize various experimentation and incrementality methodologies so they can isolate the causal impact Netflix’s ad campaigns have on their media objectives. These customers include advertisers and agencies, as well as third party partners such as measurement or other ad tech vendors.

This PM will:

  • Partner with engineering, user experience and data science teams to launch experimentation and incrementality measurement products that meet the needs of advertisers, agencies, third-party measurement vendors, and other ad tech providers

  • Prioritize the product roadmap, managing near-term product delivery while formulating a long-term product strategy to provide the most relevant and innovative measurement to Netflix’s advertisers

  • Collaborate with cross-functional teams in sales, solutions engineering, measurement analysts, ad operations, marketing, strategy, policy, and legal to bring products to market and increase adoption

  • Be an expert on the methodologies of our growing experimentation and incrementality measurement suite, including Conversion Lift, Brand Lift, A/B Testing, Multi-armed bandit algorithms, Search Lift and Geo Lift

We’re seeking a candidate who has:
  • 8+ years of Product Management experience with a proven record of successfully launching and scaling 0-1 products

  • Strong experimental design & causal inference knowledge: randomization, power analysis, sample size determination, MDE, holdout methodology design, statistical significance, confidence intervals

  • Ability to apply advanced causal inference methods beyond A/B testing, including multi-armed bandit theory (exploration/exploitation tradeoff, regret minimization)

  • Delivered a roadmap and executed on ads experimentation and incrementality measurement products

  • Has a thorough understanding of the ads measurement, conversion ingestion, and identity ecosystems, including CTV experience and familiarity with measurement

  • Has experience collaborating closely with advertisers, agencies, measurement partners, and publisher sales and measurement analyst teams

  • Has experience collaborating with Engineering, User Experience, Data Science, and other Product Teams


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

6 Minutes Ago
Remote or Hybrid
US
120K-155K Annually
Senior level
120K-155K Annually
Senior level
Big Data • Fintech • Information Technology • Insurance • Software
Owns accounting support for the deal desk and quote-to-cash process at a SaaS company. Responsibilities include reviewing contracts for ASC 606 implications, advising Sales and Legal on deal structures, establishing approval workflows, translating contract terms into billing configurations, managing amendments and renewals, and partnering with Sales Operations, Finance, and Accounting. The role also supports commercial governance, SaaS metrics analysis, audit, and cross-functional training.
Top Skills: Ai AutomationBigQueryCpqCRMNetSuiteSalesforceTableau
12 Minutes Ago
Easy Apply
Hybrid
San Francisco, CA, USA
Easy Apply
74K-138K Annually
Mid level
74K-138K Annually
Mid level
Fintech • Mobile • Software • Financial Services
Implement and monitor pricing strategies across consumer lending: translate strategy into technical specs, maintain audit trails, collaborate with engineering, validate data pipelines, build automated controls and Tableau dashboards, support risk management, and coordinate execution with internal and external partners.
Top Skills: GitlabJIRAPythonSnowflakeSQLTableau
13 Minutes Ago
In-Office or Remote
2 Locations
Expert/Leader
Expert/Leader
Artificial Intelligence • Machine Learning • Natural Language Processing • Software • Conversational AI
Lead Deepgram’s corporate legal function, including governance, IPO readiness, financings, M&A, employee equity, international subsidiaries, and regulatory developments. Partner with Finance, People, and company leadership to build scalable legal processes for a fast-growing AI company. Establish an AI-native legal practice while advising on a broad range of startup legal matters.
Top Skills: Ai ToolsArtificial IntelligenceSpeech-To-TextText-To-SpeechVoice Ai

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