Software Engineering 5 - Ads Targeting & Audiences

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.

The Netflix Ads Identity and Audiences team is committed to providing a relevant and engaging advertising experience that prioritizes member privacy. Our mission is to maintain accurate member identities, ensuring that ads are both engaging and compliant with consumer privacy choices and regional regulations.

As a Software Engineer on the Ads Identity and Audiences team, you will be instrumental in developing and enhancing our ads targeting and audience capabilities, which leverage various signal sources to enable precise ad delivery and maximize advertiser value. 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 ads technology and privacy, fostering a culture that values creativity, diversity, and continuous learning.

• Professional experience in designing and building user and contextual signals and audience targeting features for ad platforms.

• Proficiency in programming languages such as Java, Python, C++, or similar, with a strong grasp of software development principles and design patterns.

• Experience in developing distributed cloud-based applications and proficiency in modern programming languages, preferably object-oriented.

• 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.

• Strong understanding of data privacy, governance, and security concepts, including Privacy by Design principles.

• Experience with ads targeting using machine learning models.

• Experience working in the CTV space and knowledge of its unique constraints.

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.