Technical Product Marketing, Content
San Francisco, California, United States On-site
$150,000–$250,000 a yearJobFig found this opening at its original source and checks that it remains available.
About the role
We are looking for a Technical Product Marketing Manager to help developers discover Exa, whether they arrive through a social, Youtube, a search engine, or an LLM that recommends us. We build the search engine for AIs, so we should be the company that best understands how to get found by them. When a developer asks Claude or ChatGPT which search API to use for their agent, the answer should be Exa. You own organic discovery, and the engine that drives it is a weekly cadence of technical content that engineers respect: benchmarks, teardowns, implementation guides, honest comparisons, and writing about retrieval and agents that could only come from inside this company. Volume matters–ship something good every week. You will read code, call APIs, run evals, and publish work with your name on it. Answer engine optimization is the strategy layer on top: structuring content so models cite it, covering the entities and questions that matter, and measuring whether we show up in the answers. This is an AI-first role at an AI-first company. Your research, drafting, and measurement loops should be built with AI, and you should be able to explain what you never let AI touch.
What you'll bring
- 4+ years writing technical content for developers at an API-first, infrastructure, or developer tools company.
- A public portfolio you personally wrote.
- Show us the piece you are proudest of and be ready to explain the technical claims.
- Proven taste in production values for your content.
- Real developer credibility.
- You read code, call APIs, run benchmarks, and can build a small demo to make a point.
- You do not need to have shipped production systems, but engineers should see your work as marketing.
- A working thesis on answer engine optimization, backed by something you have tried and measured.
- Working knowledge of technical SEO fundamentals and content analytics.
- A proven AI builder mindset: you've shipped research and writing pipelines using LLMs, and you have judgment about what still requires human touch.
- A background in engineering, data science, or a quantitative field.
- Experience publishing benchmarks or evals, including handling the criticism that follows.