About the job
About Us
At Koah Labs, we are revolutionizing the advertising landscape by creating an ad network designed for the next generation of AI-driven products. Our mission is to empower publishers to optimize monetization while enabling advertisers to connect with their target audience efficiently and with respect for user privacy and experience.
Based in the vibrant city of San Francisco, our cohesive team consists of experts with backgrounds from prestigious companies like X, Apple, and Meta, as well as from successful startups. We have secured funding from top-tier investors and are experiencing rapid growth, gaining significant traction on both publisher and advertiser fronts.
Joining Koah Labs means becoming part of a foundational team where your contributions will directly influence our product and the broader ecosystem we are building. We value speed, high trust, and a commitment to excellence in our work.
Our Technology Stack
Infrastructure: Terraform, AWS, LGTM (Loki, Grafana, Tempo, Mimir), Tailscale, Cloudflare
Data Management: PostgreSQL, ClickHouse, Redis, Kafka, Python
Core Application: Ruby on Rails, React, TypeScript
SDK Development: iOS, Android, Web, Flutter, React Native
Your Role
Collaborate within the product engineering team to leverage data and causal reasoning for product decision-making.
Design, implement, and evaluate experiments, analyzing outcomes for actionable insights.
Elevate engineering practices by promoting data-driven decision-making and a thorough understanding of key business metrics.
Employ rigorous statistical analysis and modeling to transform extensive marketplace data into impactful tools and insights that guide product strategy.
Are You the Right Fit?
You possess an advanced degree in Physics, Computer Science, Mathematics, Statistics, Engineering, or a related discipline.
You thrive on tackling complex challenges, formulating testable hypotheses, and conducting research that drives meaningful business outcomes.
You are committed to continuous learning and innovation, with a desire to challenge conventional thinking.
You have strong capabilities in mathematical and statistical modeling.
You excel in communicating your findings to both technical and non-technical stakeholders.

