Software Engineer 5 - Ads Data Clean Room

Netflix•Los Gatos, CA

About The Position

Netflix is one of the world's leading entertainment services, with 283 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 launched a new ad-supported tier in November 2022 to offer our members 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 deeply engaged audiences. Our Team The Ads Measurement & Reporting Engineering squad builds systems and integrations that enable advertisers on Netflix to quantify campaign outcomes. Leveraging a blend of Netflix innovations and both first-party and third-party solutions, we deliver ads that respect the viewing experience while driving impactful results for advertisers in a way that preserves user privacy. Our tools empower advertisers to effectively measure and analyze these outcomes. Our team is new, yet we have enormous 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 rapidly growing Connected TV advertising space, we seek to build unique value propositions that help us differentiate from the competition and become a market leader in record time. We are looking for highly motivated engineers working in the advertising space who are excited to join us on this journey.

Requirements

Strong experience building integrations with data clean rooms to support multi-party data sharing for ads use-cases, especially those supporting audience onboarding, targeting, measurement, etc.
Strong understanding of GDPR, CCPA, differential privacy, and data governance best practices.
Familiarity with digital advertising, adtech/martech ecosystems, and regulatory landscape.
Worked closely with ad operations to enable campaign setup, measurement, targeting, reporting, and advertiser needs.
Proficiency in SQL, Python, or Spark for querying and analyzing large datasets.
Experience with data pipelines, ETL, and cloud platforms (AWS, GCP, Azure).
Understanding of privacy-preserving techniques (e.g., encryption, federated learning, synthetic data).
Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively.
Ability to work cross-functionally with engineering, legal, and marketing teams.
Experience working with advertisers, publishers, or clean room technology providers.
Experience with audience activation or measurement, and privacy-safe data collaboration.

Nice To Haves

Contributed to an ads industry technology standard (e.g VAST, OpenRTB) or worked on an industry consortium effort, working group etc.
Experience working in the CTV space and knowledge of its unique constraints

Benefits

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.

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