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Founding Open Source Growth Engineer

Confident AI· Marketing
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Hybrid (San Francisco, CA)$140k - $200kFull-timePosted 3mo ago

About the role

Founding Open Source Growth Engineer to grow the top of funnel for Open Source DeepEval evaluation framework and AI platform, focusing on content, growth systems, SEO/AEO, docs-as-funnel, and attribution. In-person collaboration with founders in San Francisco. Build and measure growth Engine, own experiments, and drive quality adoption to enable revenue growth.

Responsibilities

  • Own DeepEval's open-source growth. Drive active users through developer content, SEO, AI-search visibility (AEO/GEO), GitHub, docs-as-funnel, and organic channels where AI engineers 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.

Qualifications

  • 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.
  • 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.
  • Strong at modern organic discovery: SEO, AEO/GEO, 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.
  • Comfortable owning a growth metric focused on quality adoption, not vanity numbers.
  • Happy building the engine and the content rather than needing the spotlight.
  • 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. Exceptional early-career candidates welcome.
  • Excited to work in person with the founding team in San Francisco.

Skills

Required:Growth engineeringPythonTypeScript/NodeSEO / AEO / GEOContent writing for developersAttribution & funnel instrumentationGitHub / technical collaboration
Last updated Oct 21, 2026. Interested? Apply on the company site.
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About Confident AI

Open-Source Unit Testing for LLM Applications

Confident AI allows companies of all sizes to benchmark, safeguard, and improve LLM applications, with best-in-class metrics and guardrails powered by DeepEval. Built by the creators of DeepEval (4.3k stars, >400k monthly downloads), Confident AI is able to offer battle-tested, open-source evaluation algorithms while providing the infrastructure needed for teams to stay confident their LLM systems.

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