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 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 Netflix Ads Identity Graph team develops the Netflix Ads Identity Graph and Identity Resolution services. The team's main objectives are to provide flexible and accurate Identity Resolution services and increase identifier coverage for better matching of advertiser and partner data, while ensuring a strong commitment to data protection and member privacy. The Role As a Software Engineer on the Ads Identity Graph team, you will build systems to deliver the right ad to the right person at the right time leveraging advanced targeting techniques while respecting Netflix member privacy and consent choices. In this dynamic and innovative environment, your contributions will have a significant impact on how we protect member data and privacy. You will collaborate with a team of talented professionals who are deeply passionate about technology and privacy, fostering a culture that values creativity, diversity, and continuous learning. Skills & experience we’re seeking: • Hands-on experience designing, developing, and maintaining large-scale Identity Graphs and Identity Resolution services used in advertising or marketing technology. • Proven ability to implement and operate both deterministic and probabilistic identity resolution in batch (offline) and near-real-time (online) systems, balancing precision, recall, and latency. • Experience architecting and integrating identifier collection flows into downstream identity pipelines in a privacy-conscious way. • Strong background in integrating identity signals with DSPs and other programmatic platforms. • Practical experience managing identity integrations with data clean rooms (e.g., privacy-safe joins, audience matching, and measurement) while preserving data minimization principles. • Deep understanding of data governance, privacy, and consent management within an identity framework, and a track record of embedding these requirements into system design and operations. • Proven experience in handling data at extremely large volumes with big data tools like Spark, and building high throughput low latency distributed systems that utilized the big data. • Ability to thrive in a fast-paced, dynamic environment and effectively manage multiple priorities. • Knowledge of the ad tech and advertising landscape, including programmatic advertising and digital marketing trends. • Excellent communication, negotiation, and relationship-building skills, with the ability to work collaboratively with cross-functional teams. Nice to haves: • Experience working in the CTV space and knowledge of its unique constraints. • Experience building machine learning modeled targeting with automated objective based optimization. • Experience with targeting experimentation. • In-depth knowledge of regional privacy regulations, e.g. GDPR (General Data Protection Regulation), CCPA (California Consumer Privacy Act), and CPRA (California Privacy Rights Act). • Experience with Privacy Enhancing Technologies (PETs) 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 $388,000.00 - $558,000.00. 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.

Requirements

Must-haves

Hands-on experience designing, developing, and maintaining large-scale Identity Graphs and Identity Resolution services used in advertising or marketing technology.
Proven ability to implement and operate both deterministic and probabilistic identity resolution in batch (offline) and near-real-time (online) systems, balancing precision, recall, and latency.
Experience architecting and integrating identifier collection flows into downstream identity pipelines in a privacy-conscious way.
Strong background in integrating identity signals with DSPs and other programmatic platforms.
Practical experience managing identity integrations with data clean rooms (e.g., privacy-safe joins, audience matching, and measurement) while preserving data minimization principles.
Deep understanding of data governance, privacy, and consent management within an identity framework, and a track record of embedding these requirements into system design and operations.
Proven experience in handling data at extremely large volumes with big data tools like Spark, and building high throughput low latency distributed systems that utilized the big data.
Ability to thrive in a fast-paced, dynamic environment and effectively manage multiple priorities.
Knowledge of the ad tech and advertising landscape, including programmatic advertising and digital marketing trends.
Excellent communication, negotiation, and relationship-building skills, with the ability to work collaboratively with cross-functional teams.

Nice-to-haves

Experience working in the CTV space and knowledge of its unique constraints.
Experience building machine learning modeled targeting with automated objective based optimization.
Experience with targeting experimentation.
In-depth knowledge of regional privacy regulations, e.g. GDPR (General Data Protection Regulation), CCPA (California Consumer Privacy Act), and CPRA (California Privacy Rights Act).
Experience with Privacy Enhancing Technologies (PETs)
Netflix is a unique culture and environment. Learn more here .

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learning

Platform: eightfold
Effort: medium

Benefits

Benefits detected in the listing.

401(K)

Paid Time Off