Software Engineer - Data / ML
Who we are
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.
Tooling
Infra: Render (app + workers), AWS (RDS, S3, Kafka), Grafana for metrics and logs
Data: PostgreSQL (primary), ClickHouse (analytics), Redis (caching & rate limiting)
Core Stack: Ruby on Rails, React, TypeScript
SDKs: Flutter, React Native, Android (Kotlin, Compose), iOS (Swift)
We’re looking for engineers who like digging into systems and making them fast, reliable, and easy to operate. You’ll help us deliver ads quickly, track performance accurately, and scale the platform as we grow. We’re building systems that will soon operate at the scale of modern analytics platforms — high-volume, low-latency, and deeply queryable.
Example projects
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
You might be a fit if
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
If you're interested, please send an email to [email protected] with your full name, email address, and resume.
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