
Data Scientist at Koah (San Francisco, CA)
Koah· San Francisco, CA· $180k–$250k·
Role details
Equity
Summary
Join Koah's product engineering team to drive decisions using data and causal reasoning. You will design and analyze experiments, build statistical models, and help establish a data-driven culture within the company.
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.
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: iOS, Android, Web, Flutter, React Native
In this role, you will
- Sit within product engineering and help drive product decisions using data and causal reasoning
- Design, implement, execute experiments and analyze results
- Help level-up all of engineering, encouraging data driven decisions and a deep understanding of the important metrics that drive our business forward
- Use rigorous statistical thinking and hands-on modeling to turn our rich marketplace data into tools that directly shape product decisions and key insights
You might be a fit if
- You have an advanced degree in Physics, Computer Science, Mathematics, Statistics, Engineering, or a related field
- You enjoy identifying and owning challenging problems, forming testable hypotheses, and conducting impactful research to drive significant business impact
- You have a relentless focus on continuous learning and making an impact with an ability to question the status quo
- You have strong mathematical and statistical modeling skills
- You enjoy communicating conclusions to both technical and non-technical audiences alike
Why work at Koah
- High-Growth Environment: The company has grown headcount by 633% in the last year and is actively hiring across engineering, product, design, data science, and go-to-market roles.
- Mission-Driven: Employees work on solving a fundamental problem for the AI ecosystem — how to make AI apps profitable without compromising user experience.
- Culture Values: The company emphasizes "design for quality," "velocity over perfection," "experiment boldly," and "respect first." They value ownership, rapid iteration, and data-driven decision-making.
- Work Policy: Hybrid/on-site presence in San Francisco and New York. The Founding Head of Ad Sales role is listed as on-site in San Francisco or New York.
- Team Composition: Small, high-leverage team (18 people) with a flat structure. Technical roles (engineering, data science, product) make up a significant portion of the team.
- Tech Stack: Modern stack including React, TypeScript, Python, PostgreSQL, ClickHouse, Redis, Terraform, Cloudflare, and Grafana — appealing to engineers who want to work with cutting-edge infrastructure.