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Netflix

Product Manager, Ads Platform - Data Clean Room Measurement

Posted 22 Days Ago
Be an Early Applicant
In-Office
4 Locations
120K-515K Annually
Senior level
In-Office
4 Locations
120K-515K Annually
Senior level
The Product Manager will oversee the development of ads measurement products using data clean rooms, collaborating with various teams to enhance advertiser experiences and improve campaign performance while ensuring compliance with privacy regulations.
The summary above was generated by AI

Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

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 measurement products enabled via data clean rooms. This role will focus on building measurement products for customers to utilize in data clean rooms so they can evaluate Netflix’s ad campaign performance in a privacy-centric way. 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 and data science teams to launch data clean room-based 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 measurement suite, including campaign delivery metrics, viewability, audience reach and frequency, attribution, and conversion lift

We’re seeking a candidate who has:
  • 5+ years of Product Management experience with a proven record of successfully launching and scaling platforms

  • Must have intermediate to advanced knowledge of SQL.

  • Experience working in cloud-based data warehouses or data clean rooms, including work on relational databases, proficiency in API connectivity, and a working knowledge of machine learning and Python applications.

  • Should have direct experience working in at least one major public cloud: Amazon Web Services, Google Cloud Platform, Microsoft Azure 

  • Delivered a roadmap and executed on ad measurement and/or data clean room products. 

  • Has a thorough understanding of the ads measurement and identity ecosystems, including CTV experience and familiarity with measurement and ad tech vendors. 

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

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

  • Has familiarity with legal compliance and the changing landscape of ads data privacy regulations around the world.

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 $120,000 - $515,000.

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 detail about our Benefits 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.

Top Skills

Amazon Web Services
Api Connectivity
Cloud-Based Data Warehouses
Google Cloud Platform
Machine Learning
Azure
Python
Relational Databases
SQL
HQ

Netflix Los Gatos, California, USA Office

100 Winchester Circle, Los Gatos, CA, United States

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