Software Engineer - Backend

Location

San Francisco;
New York

Full time

Hybrid

Engineering

• $180K – $250K
  • Offers Equity

At Koah Labs, we believe in rewarding world-class talent with highly competitive compensation. Our approach ensures that every team member is recognized and incentivized for their impact with a comprehensive package that includes a strong base salary, meaningful equity, and top-tier benefits. We are committed to providing an environment where our people are empowered to do their best work, knowing their skills and contributions are valued and rewarded accordingly.

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, Meta and early-stage startups. We’ve raised from top investors and are growing fast with real traction on both the publisher and advertiser sides of the marketplace.

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.

Our Stack

• Infra
  :
  Terraform, AWS, LGTM (Loki, Grafana, Tempo, Mimir), Tailscale, Cloudflare
• Data
  :
  Postgre
  
  SQL, Click House, Redis, Kafka, Python
• Core Application
  :
  Ruby on Rails, React, Type Script
• SDKs
  :
  Flutter, React Native, Android, iOS

Example projects

• Build scalable data models that support multiple impressions for an ad request
• Design abstractions that allow us to experiment and ship new formats that allow for a flexible way of tracking engagement events
• Build a low-latency frequency capping system to improve an end user's experience

You might be a fit if

• You like debugging and optimizing performance
• You are detail oriented and like to create good abstractions that others rely on
• You enjoy experimentation, measuring, and creating reliable systems

Compensation Range: $180K - $250K