Developer Evangelist, Technical Content

LlamaIndex

Developer Advocate serving as a public face for LlamaParse at events and on social media. Engaging developers and showcasing LlamaParse's capabilities in document parsing.

Posted 7/8/2026full-timeSan Francisco • California • 🇺🇸 United StatesMid-LevelSenior💰 $130,000 - $250,000 per yearWebsite

Tech Stack

Tools & technologies

PythonTypeScript

About the role

Key responsibilities & impact

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

What you’ll need

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.

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account LlamaIndex Website LinkedIn All Job Openings 1 - 10 employees The data framework for LLMs Developer Evangelist, Technical Content 🔥 5 minutes ago 🏢🏡 San Francisco – Hybrid 💵 $130k - $250k / year ⏰ Full Time 🟡 Mid-level 🟠 Senior 🤝 Developer Relations (DevRel) Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
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
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.
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Hard Skills & Tools

PythonTypeScriptDocument ParsingStructured ExtractionTechnical Content CreationDemo DevelopmentAI ApplicationsOCRLLMsRAG

Soft Skills

Clear CommunicationCommunity EngagementPublic SpeakingStorytelling