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Koah

Software Engineer - Backend

San Francisco, California, United States

Location
San Francisco, California, United States
Work
On-site
Employment
Full-time
Level
Not stated
Function
Engineering
Pay
$180K – $250K a year
Posted
7 months ago

Pay and the market here

The top of this role’s range, $250K a year, is 3% below the median of $259K for engineering jobs in San Francisco (middle half $215K – $315K, 4,022 jobs that state pay).

5,003 engineering jobs open in San Francisco: 9% remote, 949 posted in the last 30 days.

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About the role

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 allowing us to align publisher and advertiser interests
  • 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 and prevent ad fatigue
  • Create schemas to represent high-volume ad bidding with ad exchanges to increase the diversity of the ad demand on platform
  • Evolve our real-time auction and ad-decisioning systems to improve publisher, advertiser, and user outcomes

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
  • You want ownership of foundational systems
  • You enjoy working closely with product and data science to turn ambiguous problems into measurable outcomes

Source

Posted by Koah on their own hiring page, jobs.ashbyhq.com. OptiTalent shows it as published, read 07 Nov 2026 11:58 UTC; the original is the reference.

View the original ad ↗

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