Koah Labs-posted 3 months ago
San Francisco, CA
1-10 employees

Koah Labs is building the ad network to power the next generation of AI-native products. Our mission is to help publishers monetize and help advertisers reach the right audience — without compromising speed, UX, or privacy. We’re a small, tight-knit team in San Francisco with backgrounds at X, Apple, and early-stage startups. We’ve raised $5.7M from top investors and are growing fast with real traction on both the publisher and advertiser sides. Working at Koah means joining at the ground floor: you’ll ship code that shapes the company and the ecosystem we’re building. We move quickly, operate with high trust, and care deeply about craft.

  • Build data pipelines using Debezium to stream real-time changes from PostgreSQL to our OLAP database for analytics workloads
  • Reduce p99 latency in critical write paths by optimizing SQL query execution plans, implementing robust retry mechanisms, and enforcing strict timeouts for third-party services
  • Tune conversion and clickthrough rate metrics in our core ad matcher from analyzing impression and click data
  • Enhance ad matching algorithms using regression analysis to identify data patterns and develop hypotheses for new predictive features that improve conversion likelihood
  • Set up experiment tracking and observability with logs and custom metrics that make it easy for us to understand why certain ads are chosen
  • Experience with debugging and optimizing performance
  • Detail-oriented with a data-driven approach to support claims
  • Enjoyment in digging deeply and owning the platform side supporting product
  • Interest in experimentation, measuring, and creating reliable systems
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