Netflix
Senior
Build high-volume, low-latency Conversion APIs powering Netflix's ads measurement and privacy stack
On Netflix's Ads Identity, Signals and Audiences team, you'll design and build Conversion APIs that ingest consented advertiser engagement events in near-real-time via server-to-server streaming, pixels, and batch, turning them into deduplicated, identity-enriched 'gold' datasets for measurement, retargeting, and reporting — all while staying compliant with global privacy regulation.
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What this interview tests
- Conversion API design: server-to-server, batch, and pixel ingestion
- Event deduplication, identity resolution, and attribution enrichment
- Streaming architectures (Kafka, Flink) at high volume, low latency
- Ad tech and privacy/consent regulatory compliance
- Cross-functional collaboration across ads, privacy, and legal stakeholders
Common question themes
Design a Conversion API that ingests events from server-to-server, pixel, and batch sources into one 'gold' dataset
How do you handle deduplication and identity enrichment for high-volume conversion events
Walk through a streaming pipeline you built with Kafka or Flink and how you ensured correctness under load
How would you design for consumer privacy and regional ad regulation compliance from the start
Describe a time you had to negotiate priorities across ads, privacy, and business stakeholders
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