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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, Signals 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 and curate valuable Signals and Audiences ensuring that ads are engaging, optimized and compliant with consumer privacy choices and regional regulations.
The Role
As a Software Engineer on the Ads Identity, Signals and Audiences team, you will be instrumental in designing and developing Netflix Conversion APIs. These APIs are essential for powering critical Measurement, Optimization, Retargeting and Reporting capabilities. Your responsibilities will include building high-volume, low-latency services capable of ingesting consented user engagement events from Advertiser properties in near-real-time. This ingestion will support various methods, including server-to-server streaming, pixel requests, and batch uploads. You will join a skilled team of professionals dedicated to ads technology and user privacy, collaborating within a culture that strongly promotes continuous learning, diversity, and creativity.
Required Experience and Skills:
Streaming Architectures:Practical experience with streaming event architectures and related technologies (e.g., Kafka, Flink).
Ad Tech and Privacy Knowledge:Strong understanding of the ad technology and advertising landscape, including programmatic advertising and current digital marketing trends. Familiarity with global ads regulations, as well as privacy, consent, and legal compliance.
Collaboration and Communication: Excellent communication, negotiation, and relationship-building skills, with a proven ability to work collaboratively across diverse, cross-functional teams.
Adaptability:Ability to thrive and effectively manage multiple priorities in a fast-paced, dynamic work environment.
Nice to Haves:
Familiarity with clean rooms and industry-leading privacy-enhancing technology for multi-party data sharing.
Demonstrated experience in building server-to-server, batch and pixel Conversion APIs. This includes processing conversion events from diverse sources to create high-fidelity, identity and attribution-enriched, and deduplicated "gold" data sets for consumption by downstream services.
Expertise in leveraging conversion events to enable valuable derivative services, such as retargeting and outcome-based optimization.
Experience working in the CTV space and knowledge of its unique constraints.
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