Product Manager, Ads Platform

• Experimentation & Incrementality Measurement Netflix
• 3.9 Los Gatos, CA Job Details $440,000
• $725,000 a year 6 hours ago Benefits Stock options Paid holidays Health insurance Flexible spending account Paid time off 401(k) matching Qualifications Roadmap creation (System development task) Feature prioritization Launching new IT products Adtech Hypothesis testing Design of experiments Collaboration with product development teams Inferential statistics Media data analysis Statistical significance testing Marketing controlled experiments research Cross-functional communication Full Job Description 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.