This role pays more than
99%
of similar roles. Most pay
$182,940–$260,450
— the shaded band above.
At the midpoint, this role pays about
$582k
versus about
$222k
for comparable roles.
Based on 240 similar postings.
Employer
About Netflix
Netflix is the world''s leading streaming entertainment service, offering a vast library of TV series, films, documentaries, and original content to subscribers in over 190 countries. Industry: Streaming Entertainment & Media
Netflix currently has
71 open roles
on FindRole.
Listed pay typically runs
$440,000–$725,000
across 59 roles with salary data.
Product Manager, Ads Platform - Experimentation & Incrementality Measurement joins the Ads Platform team to build advertising systems and integrations for a new ad-supported tier. This role focuses on developing measurement products that utilize experimentation and incrementality methodologies, allowing advertisers and agencies to isolate the causal impact of ad campaigns on media objectives. The Product Manager will partner with engineering, user experience, and data science teams to prioritize the roadmap and launch products like Conversion Lift, Brand Lift, A/B Testing, Multi-armed bandit algorithms, Search Lift, and Geo Lift. Key requirements include expertise in causal inference, randomization, power analysis, and holdout methodology design. The role addresses the technical challenge of providing innovative measurement solutions within the rapidly growing Connected TV advertising space and identity ecosystems.
What does a Product Manager earn in California?
Median $222000 from 280 postings across 53 companies.
Launch experimentation and incrementality measurement products for advertisers, agencies, and third-party partners.
Prioritize the product roadmap to balance near-term delivery with long-term measurement strategy.
Apply advanced causal inference methods including multi-armed bandit theory, A/B testing, and Geo Lift.
Partner with engineering, data science, and UX teams to build high-performance advertising systems.
Collaborate with sales, marketing, and legal teams to bring products to market and increase adoption.
Serve as a subject matter expert on conversion lift, brand lift, and statistical significance methodologies.
Manage the integration of conversion ingestion and identity ecosystems within the CTV space.
What we're looking for
8+ years of Product Management experience with a proven record of successfully launching and scaling 0-1 products.
Strong experimental design and causal inference knowledge including randomization, power analysis, sample size determination, MDE, and holdout methodology.
Ability to apply advanced causal inference methods beyond A/B testing, including multi-armed bandit theory.
Experience delivering a roadmap and executing on ads experimentation and incrementality measurement products.
Thorough understanding of ads measurement, conversion ingestion, and identity ecosystems, including CTV experience.
Experience collaborating closely with advertisers, agencies, measurement partners, and publisher sales and measurement analyst teams.
Experience collaborating with Engineering, User Experience, Data Science, and other Product Teams.