Software Engineer, Conversion Measurement
$293,000–$385,000 year
On-siteSan Francisco, California, United States
Job Summary
Design and build reliable conversion-event collection and processing systems across pixels, SDKs, server-side APIs, app events, offline uploads, and advertiser integrations. Construct attribution and measurement infrastructure for observed and modeled conversions, including deduplication, delayed events, and signal-loss mitigation. Develop privacy-preserving identity, matching, and aggregation systems that provide useful measurement under strict privacy constraints. Create data-quality systems to detect missing, duplicated, malformed, or fraudulent signals while building scalable advertiser reporting for cost per action and funnel performance. Partner with Ads ML to deliver trustworthy conversion labels and feedback loops for ranking, bidding, and budget optimization. Define the technical strategy and roadmap for conversion measurement across OpenAI's ads delivery stack, operating systems with high engineering rigor through testing, observability, and incident response.
Required Qualifications
- 10+ years experience building and operating large-scale distributed data or backend systems
- experience in ads measurement, attribution, analytics, marketplaces, experimentation, or adjacent domains
- experience designing privacy-safe measurement systems
- ability to reason about data correctness, delayed and out-of-order events, schema evolution, reconciliation, and internal-versus-external metric discrepancies
- experience building high-throughput batch or streaming systems
- comfort partnering with ML and data science teams on labels, model inputs, experimentation, and causal measurement
- ability to think holistically across architecture, product semantics, data quality, observability, privacy, and advertiser trust
- ability to define technical direction in an ambiguous 0→1 environment
- ability to independently drive complex work across teams
- ability to communicate clearly and make technical decisions grounded in user value, system health, measurement credibility, and long-term product direction
- location in San Francisco or Seattle
- willingness to relocate
Desired Qualifications
- experience with pixels, SDKs, server-side APIs, app events, offline uploads, and advertiser integrations
- experience with attribution windows, deduplication, delayed events, and signal-loss mitigation
- experience with identity, matching, aggregation, and reporting systems
- experience with consent handling, modeled conversions, and clean-room patterns
- experience with privacy-preserving APIs
- experience with holdouts, lift studies, and causal measurement foundations
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