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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.
Job Responsibility:
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
Requirements:
You like debugging and optimizing performance
You are detail oriented and use data to support your claims
You enjoy digging deeply and owning the platform side supporting product
You enjoy experimentation, measuring, and creating reliable systems
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At CrawlJobs.com, we simplify finding your next career opportunity by bringing job listings directly to you from all corners of the web. Using cutting-edge AI and web-crawling technologies, we gather and curate job offers from various sources across the globe, ensuring you have access to the most up-to-date job listings in one place.
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