Founding Open Source Growth Engineer

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.
• Grow the right adoption — the users who show real, serious usage — and hand those signals to the founders for conversion.
• Partner with the founders, who own positioning, ICP, and strategy. You build and scale the growth engine that makes it spread.

You should be someone who

• Experience in growth engineering, technical growth, or developer-focused growth — someone who builds systems and ships experiments rather than managing agencies.
• You can code. Comfortable in Python and/or TypeScript/Node, building scrapers, content pipelines, attribution, and AI-agent tooling. You ship your own tools instead of waiting on someone else.
• Genuine technical curiosity about the product — you actually want to understand how LLM evaluation works, and can engage credibly on a GitHub issue or in a technical post. This is the make-or-break trait for this role, not a nice-to-have.
• Strong at modern organic discovery: SEO, AEO/GEO (showing up in AI-generated answers), and content that ranks, gets cited, and converts.
• Data-driven. Comfortable owning attribution and funnel instrumentation, and honest about measuring what drives quality adoption rather than vanity metrics.
• Can write clear, credible developer content — technical enough that engineers respect it. You don't need to be a published author, but you can't sound like a marketer.
• Comfortable owning a growth metric focused on quality adoption, not vanity numbers.
• Happy building the engine and the content rather than needing the spotlight — you're energized by systems, content, and instrumentation.
• Comfortable executing within a strategy the founders own, bringing strong opinions while staying in a build-and-execute seat.
• High-agency and comfortable with ambiguity. We're seed-stage; the playbook doesn't fully exist yet. Exceptional early-career candidates are welcome — ceiling matters more than years.
• Excited to work in person with the founding team in San Francisco.

Your work will

• Grow DeepEval's active user base — the open-source top of funnel that feeds the business.
• Build the content-and-growth engine (SEO, AEO, docs-as-funnel, developer channels) that scales adoption without needing an agency.
• Instrument the funnel so we know what drives quality adoption, and reallocate effort toward what works.
• Grow the right adoption and hand strong signals to the founders for conversion.

By joining us, you will

• You're scaling something real. DeepEval already has serious adoption and surface area — you're pouring fuel on a fire that's already lit, not starting from zero.
• Build it your way: full ownership of the growth-engineering stack, the tools, and the experiments. If you can code it and it moves the metric, ship it.
• A seat at the table with the founding team, a high ceiling, and the foundation of a future growth team to build under you as the company scales.

About the interview

The entire process is usually fully remote and all communication happens over email or via video chat in Google Meet. We know that you may be interviewing elsewhere as well so are respectful of your time and will get back no later than 2 days of each step along the process.

The entire process has 4 steps and takes around 1.5 weeks in total:

1. Initial 15-30 minute phone screening interview.
2. One 30-45 minute technical interview.
3. One week fully-paid work trial.
4. Full-time offer.

No hires will be made without a work trial. You'll be working with the founders directly throughout the entire process. For any questions, email hiring@confident-ai.com.

About Confident AI

Confident AI is the leading LLM evaluation platform that helps teams evaluate, test, benchmark, optimize, monitor, and red-team LLM applications. Powered by DeepEval, the go-to LLM evaluation framework with over 600k monthly downloads, 5.3k GitHub stars, and over 40 million evaluations conducted, Confident AI is trusted by hundreds of companies from leading startups to international corporations.