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Developer Evangelist, Technical Content

LlamaIndex· Marketing
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Hybrid (San Francisco Bay Area)FullTimePosted 3mo ago

About the role

Developer Advocate focused on public-facing evangelism of LlamaParse, including events, demos, and technical content to demonstrate document parsing capabilities to developers and teams.

Responsibilities

  • 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.
  • 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.
  • Stay close enough to the developer community to answer questions and bring feedback back to the team.

Qualifications

  • 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.

Skills

Required:Public speaking and demosTechnical content creationPythonTypeScript
Nice to have:Social media presence
Last updated Oct 7, 2026. Interested? Apply on the company site.
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About LlamaIndex

Redefine document workflows with AI agents

LlamaIndex brings together VLM-powered and an enterprise‑grade framework for building, serving, and deploying agents.

AI agentsDocument processingRAGWorkflowsai-infrastructure-and-developmentwing-list-2026wing-list-2026-early-stage
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