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Koah

AI-driven ad network for monetization

Software Engineer - Backend

Backend EngineeringConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA$180k - $250k /yrIn-person

About the Job

Requirements

  • Ability to debug and optimize performance.
  • Ability to create detailed, reusable abstractions.
  • Interest in experimentation, measurement, and creating reliable systems.
  • Interest in owning foundational systems.
  • Ability to work closely with product and data science to turn ambiguous problems into measurable outcomes.

Responsibilities

  • Build scalable data models that support multiple impressions for an ad request, aligning publisher and advertiser interests.
  • Design abstractions that enable experimentation and new formats for flexibly tracking engagement events.
  • Build a low-latency frequency-capping system to improve end-user experience and prevent ad fatigue.
  • Create schemas to represent high-volume ad bidding with ad exchanges and increase the diversity of ad demand on the platform.
  • Evolve real-time auction and ad-decisioning systems to improve publisher, advertiser, and user outcomes.

About the Company

Koah

AI-driven ad network for monetization

KOAH Labs runs an AI-driven ad network designed to work inside AI applications for both advertisers and publishers. For advertisers, it uses precise targeting to match ads with user intent, improving efficiency and lowering customer acquisition costs. For publishers, it provides an ad-supported free tier to grow revenue and audience, supporting sustainable growth. The platform allows easy testing using existing text creatives without requiring channel optimization, making cost-effective testing straightforward. What makes KOAH Labs different is its integration into AI apps, emphasis on high-relevance placements and user experience, and a simple testing approach that reduces setup complexity. The company's goal is to help advertisers reach high-intent users with relevant ads while enabling publishers to monetize AI-enabled experiences in a scalable, cost-efficient way.

Company size
11-50
Company stage
Series A
Total funding
$25.5M
Headquarters
San Francisco, CA
Founded
2024

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