About the job
About Us
At Koah Labs, we are innovating the advertising landscape by creating an ad network designed for the next generation of AI-driven products. Our mission is to empower publishers with monetization solutions while enabling advertisers to connect with their target audience seamlessly, all without sacrificing speed, user experience, or privacy.
As a compact and dynamic team based in San Francisco, our members bring diverse expertise from leading companies like X, Apple, and Meta, as well as from successful startups. Backed by top-tier investors, we are rapidly scaling with significant momentum on both the publisher and advertiser facets of our marketplace.
Joining Koah means becoming part of something impactful from the outset; your code will directly influence the company's future and the ecosystem we are developing. We prioritize agility, trust, and a deep commitment to quality 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 Development: Ruby on Rails, React, TypeScript
Software Development Kits (SDKs): iOS, Android, Web, Flutter, React Native
Key Responsibilities
Contribute to shaping the engineering organization’s foundation.
Lead initiatives across the technology stack, exercising significant influence over product direction and technical design.
Engage in technically challenging and fulfilling work, from optimizing matching algorithms to delivering high-quality user experiences for millions.
Collaborate with cross-functional teams in data and go-to-market strategies to steer product development based on customer needs.
Adopt a mindset of experimentation, continuously learning how users engage with AI-driven products and utilizing data from these insights to inform our efforts.
Ideal Candidate Profile
Proven experience in building and scaling production-quality systems and user experiences.
Comfortable working across the technology stack, tackling unfamiliar tasks, and navigating ambiguity.
Thrives in an in-person environment and values rapid feedback loops.
Enjoys deconstructing problems and validating hypotheses through testing.

