Netflix is looking to develop and enhance its ads targeting and audience capabilities to provide a relevant and engaging advertising experience while prioritizing member privacy.
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
- 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
- Knowledge of the ad tech and advertising landscape, including programmatic advertising and digital marketing trends
- Strong understanding of data privacy, governance, and security concepts, including Privacy by Design principles
- Experience with ads targeting using machine learning models
Responsibilities
- Developing and enhancing ads targeting and audience capabilities
- Leveraging various signal sources to enable precise ad delivery and maximize advertiser value
- Collaborating with a team of talented professionals to foster a culture that values creativity, diversity, and continuous learning
- Designing and building user and contextual signals and audience targeting features for ad platforms
- Developing distributed cloud-based applications
- Handling data at extremely large volumes with big data tools like Spark
- Building high throughput low latency distributed systems
Other
- Ability to thrive in a fast-paced, dynamic environment and effectively manage multiple priorities
- Excellent communication, negotiation, and relationship-building skills, with the ability to work collaboratively with cross-functional teams
- Bachelor's, Master's, or Ph.D. degree in a relevant field (not explicitly mentioned but implied)
- 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
