Developer Evangelist
Be the public face of LlamaParse by representing it at events, creating technical content and demos, and engaging developers on social media to drive adoption of its document parsing capabilities. Requires strong on-camera/stage presence, social media track record, and technical depth in Python/TypeScript plus AI concepts like LLMs and RAG.
About the job
What you'll do
- 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 stories of how teams use it in production.
- Be highly active and visible on social media (X, LinkedIn, YouTube): post demos, before-and-after parsing examples, launch content, and threads.
- Create technical content across formats: video walkthroughs, livestreams, blog posts, and conference talks centered on LlamaParse and document ingestion.
- Build sharp, convincing demos and example apps that prove the product on hard, realistic documents.
- Partner with product and engineering on LlamaParse launches to create content and demos that drive adoption.
- Answer developer questions and bring feedback back to the team.
Requirements
- Natural evangelist who excels on stage, on camera, and in person, making technical products interesting.
- Strong, consistent presence on social media with a track record of useful technical content for developers.
- Real enthusiasm for events, speaking, live demos, travel, and being approachable.
- Enough technical depth to build with LlamaParse and write working code in Python and/or TypeScript.
- Clear technical communication skills; able to explain document parsing and structured extraction to beginners and senior engineers.
- 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 willingness to travel for events.
Nice to have
- Existing audience or reputation in the AI or developer community.
- Experience speaking at or organizing developer conferences and hackathons.
- Video production or livestreaming skills.
- Hands-on experience with document-heavy AI use cases.
Skills
Python, TypeScript, LLMs, RAG, Ocr, Llamaparse
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