About the role
Overview
Confident AI is building the infrastructure that makes AI trustworthy. We created DeepEval, the open-source evaluation framework developers use to test their LLM applications, and we're building the commercial platform engineering teams use to ship reliable AI. DeepEval has strong developer adoption — it's the top of our funnel.
We're hiring a Founding Open Source Growth Engineer to grow that top of funnel: to make DeepEval the default way AI engineers evaluate their systems, and to grow the kind of adoption that turns into real usage and, over time, revenue. You'll do it the way growth engineers do — by building content and growth systems, instrumenting the funnel, and measuring what actually drives adoption.
This is a build-and-measure role. The founders own the strategy; you own the machine — the SEO/AEO engine, the content systems, the docs-as-funnel, the attribution, and the experiments. You do need real technical curiosity: enough to understand how LLM evaluation works and write content engineers respect, not marketing they scroll past. You'll join in person in San Francisco and work directly with the founders.
What you'll be doing
- Own DeepEval's open-source growth. Drive active users through developer content, SEO, AI-search visibility (AEO/GEO), GitHub, docs-as-funnel, and the organic channels where AI engineers actually learn.
- Build the growth-engineering systems yourself: programmatic SEO, content pipelines, automation, concept and comparison pages, and the AI-agent tooling that lets one person move like a team.
- Instrument the funnel so we know which channels and which content drive quality adoption, not just stars and traffic.
- Go deep on the product. Understand DeepEval's core evaluation concepts well enough to create genuinely credible content and engage in GitHub issues and technical discussions.
- Run growth experiments weekly. Ship, measure, double down on what compounds, and kill what doesn't.
