Developer Evangelist, Technical Content

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: walk through actual document-parsing problems, show LlamaParse handling messy real-world files, and tell stories of production use.
• Be highly active on social media (X, LinkedIn, YouTube): post demos, before-and-after examples, launch content, and threads.
• Create technical content including video walkthroughs, livestreams, blog posts, and conference talks centered on LlamaParse and document ingestion.
• Build sharp demos and example apps that prove the product on hard, realistic documents.
• Partner with product and engineering on launches to create content and demos that drive adoption.
• Answer developer questions and bring community feedback back to the team.

Requirements

• Natural evangelist who excels on stage, on camera, and in person, making technical products interesting.
• Strong, consistent social media presence 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 hybrid schedule, with willingness to travel.

Nice-to-Haves

• 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.