Software Engineering 5 - Ads Targeting & Audiences

Netflix • Los Gatos, CA

1d

About The Position

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 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.
The Role
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.

Requirements

• 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.

Nice To Haves

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees