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. 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.
• Stay close enough to the developer community to answer questions and bring feedback back to the team. This is a steady part of the role, though the focus of the job is being out evangelizing.

Requirements

• 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.

Preferred

• 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.