Software Engineer (L6), Ads Data Clean Rooms

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 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 Data Clean Room team at Netflix is a crucial part of our Ads Platform, dedicated to building upon existing privacy enhancing technologies to support our world-class advertising ecosystem. Our mission is to develop advanced data clean room solutions that ensure exceptional experiences for both our members and advertisers, while upholding the highest standards of privacy. Our responsibilities are focused on privacy preserving data collaboration efforts with advertisers and partners. This includes building core ads data infrastructure and clean room capabilities that span across targeting, measurement, attribution, audience, and data onboarding.

The Role

As a Software Engineer on the Data Clean Room team, you will play a crucial role in building privacy preserving Data Clean Room solutions that empower key Netflix ads capabilities throughout the ads lifecycle. In this dynamic and innovative environment, your contributions will make a real impact. You will collaborate with talented professionals who are passionate about technology and privacy, and you will enjoy a culture that values creativity, diversity, and continuous learning. As part of our team, you will have the opportunity to shape the future of advertising at Netflix, working on cutting-edge identity solutions that transform the advertising landscape. Our roles come with expectations of delivering in a rapid clip, comfort with lofty goals and big ambitions, the visibility that comes with strategic initiatives, and responsibility and an appetite to operate like a startup within an established company.

As a Software Engineer L6, You Will

• Act as a Data Clean Room thought leader for the team and beyond — driving longer-term technical strategy for the team.
• Identify and solve highly complex, open-ended or ambiguous problems with significant business and technical impact.
• Deliver a variety of artifacts including code, algorithms, designs, prototypes, strategies, or architectures that lead to system simplification, better efficiency, higher impact to stakeholders, or faster time to delivery.
• Collaborate with dependent teams to drive cross-functional platform-wide impact.
• Use deep technical knowledge to provide leadership on Netflix’s most challenging business and/or technical problems.
• Scale impact by appropriately delegating work and providing support to others.
• Take a strategic approach to solving technical problems, optimizing for Netflix's best interest.
• Teach and reinforce Netflix values and behaviors, fostering psychological safety.
• Operate as an ambassador of the Netflix Culture

Skills & Experience We’re Seeking

• 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.
• Proficiency with building future proof control plane entity models and API integrations.
• Working knowledge of data minimization/anonymization/pseudonymization techniques, Privacy Enhancing Technologies (PET), confidential computing, trusted infrastructure, privacy-preserving modeling and inference.
• Understanding of how data clean rooms integrate with identity graphs, audience onboarding, and measurement systems.
• 10+ years of total experience with 5+ years of technical lead experience in diverse software engineering teams.
• Strong understanding of regional privacy regulations such as GDPR, CCPA/CPRA, 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.

Technical Expertise

• 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 ads industry technology standards (e.g. OPJA) or worked on an industry consortium effort, working group etc.
• Experience working in the CTV space and knowledge of its unique constraints

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 $230,000 - $960,000.

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 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.

Job is open for no less than 7 days and will be removed when the position is filled.