Developer Evangelist, Technical ContentNew$130K–$250K

LlamaIndex
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The opportunity

We're looking for a Developer Advocate to be the public face of LlamaParse, out in the world in front of real developers and real teams, showing what the product can do.

What you'll do

  • Get out into the world. Represent LlamaParse at conferences, meetups,: hackathons, and workshops by speaking, demoing live, and meeting developers and teams face to face. This is the core of the job.

  • Evangelize the product through real experiences. Walk through actual: document-parsing problems, show LlamaParse handling messy real-world files, and tell the stories of how teams use it in production.

  • Be highly active and visible on social media, including X, LinkedIn, and: YouTube. Post demos, before-and-after parsing examples, launch content, and threads that show developers what LlamaParse does.

  • Create technical content across formats, including video walkthroughs,: livestreams, blog posts, and conference talks, all centered on LlamaParse and the document-ingestion problem.

  • Build sharp, convincing demos and example apps that prove the product on hard, realistic documents.

  • Partner with product and engineering on LlamaParse launches so every release: lands with content and demos that drive adoption.

What they're looking for

  • A natural evangelist. You like being on stage, on camera, and in the room,: and you can make a technical product genuinely interesting to watch.
  • Strong, consistent presence on social media, with a track record of technical content developers find useful.
  • Real enthusiasm for events, including speaking, live demos, and travel, and a: knack for being approachable and memorable in person.
  • Enough technical depth to build with LlamaParse and write working code in: Python and/or TypeScript, so your demos are real and your credibility is earned.
  • Clear technical communication. You can explain document parsing and: structured extraction to a beginner and to a senior engineer.
  • Working knowledge of the AI application landscape, including LLMs, RAG, OCR, and document pipelines.
  • Based in or willing to be in the San Francisco Bay Area for a hybrid: schedule, with real willingness to travel for events.