LlamaIndex builds LlamaParse, an agentic OCR and document parsing engine for AI applications.
Enterprises and developers use LlamaParse to turn hard documents (dense PDFs, scanned files, tables, forms) into clean structured data at scale of millions of pages a day.
Responsibilities
Represent LlamaParse at conferences, meetups, hackathons, and workshops by speaking, demoing live, and meeting developers face to face.
Evangelize the product through real experiences, showing LlamaParse handling messy real-world files and telling stories of production use.
Be highly active and visible on social media (X, LinkedIn, YouTube), posting demos, before-and-after parsing examples, launch content, and threads.
Create technical content across formats: video walkthroughs, livestreams, blog posts, conference talks.
Build sharp, convincing demos and example apps that prove the product on hard, realistic documents.
Partner with product and engineering on LlamaParse launches.
Stay close to the developer community to answer questions and bring feedback back to the team.
Requirements
A natural evangelist comfortable on stage, on camera, and in the room.
Strong, consistent social media presence with a track record of useful technical content.
Enthusiasm for events, including speaking, live demos, and travel.
Enough technical depth to build with LlamaParse and write working code in Python and/or TypeScript.
Clear technical communication, able to explain document parsing and structured extraction to beginners and senior engineers.
Working knowledge of the AI application landscape: LLMs, RAG, OCR, 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 in the AI/developer community, speaking/organizing experience, video production or livestreaming skills, hands-on experience with document-heavy AI use cases.
Conditions
Hybrid schedule in the San Francisco Bay Area, with travel for events.