Six Figure Work

Software Engineer - Backend

Koah

Company websitekoahlabs.com (Koah, opens in new tab)

Base salary $180K  to $250K

Employer-published annual base salary, USD. Advertised base range in San Francisco, CA

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  • LocationSan Francisco, CA
  • WorkplaceOn-site
  • Status at last checkSource accepting applications when checked
  • Last checked (3 h ago) · observed since

About this job

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: Koah on Ashby · View original posting (opens in new tab)

Pay in context

This role's base floor ($180,000) is above 51% of the 4,294 Software Engineering roles in California listed on this site; 176 others list the same floor. Their median floor is $176,000; the middle half runs from $149,100 to $201,900.

Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 7, 2026.

This range next to 5 other live Koah roles with the nearest advertised base floor
Chart as a table
This range next to 5 other live Koah roles with the nearest advertised base floor
RolePublished base
Software Engineer - Backend (this listing)$180K - $250K
Software Engineer - Product$180K - $250K
Software Engineer - Platform$180K - $250K
Data Scientist$180K - $250K
Applied Scientist$200K - $300K
Software Engineer, Early Career$120K - $160K

Same $100K to $400K scale as every card. All Koah roles · How to read the bar

Observed changes

  1. Began meeting the published-salary criteria
  2. First observed on the employer's board
Observed since
Employer-stated posting date
2026-03-27
Where this pay comes from

Location as the employer wrote it: San Francisco

USD 180,000 – 250,000 · 1 YEAR · Salary

Method
Structured pay field published by the employer
Checked
Rule set
us-base-v2

The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.