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Data Scientist - Product Engineering
full-time•San Francisco
About this 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 $5.7M 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
What you'll do
- In this role, you will drive product decisions using data and causal reasoning, design and analyze experiments. You will also encourage data-driven decisions across the engineering team.
About Koah Labs
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 [email protected] to get started.
Ready to join Koah Labs?
Take the next step in your career journey
Frequently Asked Questions
What does a Data Scientist - Product Engineering do at Koah Labs?
As a Data Scientist - Product Engineering at Koah Labs, you will: in this role, you will drive product decisions using data and causal reasoning, design and analyze experiments. You will also encourage data-driven decisions across the engineering team..
Is the Data Scientist - Product Engineering position at Koah Labs remote?
The Data Scientist - Product Engineering position at Koah Labs is based in San Francisco, United States. Contact the company through Clera for specific work arrangement details.
How do I apply for the Data Scientist - Product Engineering position at Koah Labs?
You can apply for the Data Scientist - Product Engineering position at Koah Labsdirectly through Clera. Click the "Apply Now" button above to start your application. Clera's AI-powered platform will help match your profile with this opportunity and guide you through the application process.