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Software Engineer - Backend

Role overview

Qualifications

  • 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

Responsibilities

  • 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

About the company

Koah logo

Koah

Koah is the GenAI Ad Network: Publishers can monetize AI chat without compromising UX — and advertisers can reach high-intent users with 1:1 engagement inside GenAI environments. Native-built for AI, optimized for performance, and backed by Forerunner Ventures and South Park Commons — Koah is the go-to ad network for monetizing GenAI. 📬 Reach out at hello@koahlabs.com to get started.

Company details

Company size1 - 10

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Job description

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: PostgreSQL, ClickHouse, Redis, Kafka, Python

  • Core Application: Ruby on Rails, React, TypeScript

  • 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

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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