01 Developer Evangelist, Technical Content San Francisco

LlamaIndex, Inc.; San Francisco, Northern (CA, KY); Hybrid; USD 120,000 - 180,000; Full time

Job summary

LlamaIndex, Inc. seeks a Developer Advocate to be the public face of LlamaParse, evangelizing its capabilities to real developers and teams.

You’ll travel to events, demo the product live, and share concrete outcomes from real documents turning into structured data. Your role centers on hands-on storytelling: speaking at conferences, creating technical content across videos, blogs, and talks, and building demos that prove the product in production.

Qualifications

• Ability to present technical concepts to developers and non-technical audiences.
• Experience creating technical content (blogs, videos, talks) for developer audiences.
• Willingness to travel for events and engage with the community.
• Strong foundation in Python or TypeScript for live demos.

Responsibilities

• Represent LlamaParse at conferences, meetups, hackathons, and workshops.
• Demo the product with real documents to show end-to-end parsing.
• Create technical content across formats (videos, blogs, talks).
• Deliver sharp demos and sample apps to prove product value.
• Collaborate with product and engineering to align launches with content.
• Engage with the developer community and collect feedback.

Skills

Public speaking

Social media content creation

Python/TypeScript

Event speaking/travel

Technical storytelling

Job description

Join us and help shape the future of AI by architecting next-generation knowledge systems.

Join us and help shape the future of AI by defining the narrative around document understanding.

About LlamaIndex

LlamaIndex builds LlamaParse, the world's best agentic OCR and document parsing engine for AI applications. Enterprises and developers use LlamaParse to turn their hardest documents, including dense PDFs, scanned files, tables, and forms, into clean structured data their AI systems can actually use, at a scale of millions of pages a day. Document ingestion is one of the most underestimated problems in AI, and LlamaParse is how teams solve it.

About the role

We're looking for a Developer Advocate to be the public face of LlamaParse, out in the world in front of real developers and real teams, showing what the product can do.

This is a role for someone who does their best work in person and on camera. You'll spend your time at events, running demos, and posting on social media, and you'll evangelize the product by showing it in action: real documents going in, real structured data coming out. The most convincing thing you can do is share concrete, lived experience that makes developers want to try LlamaParse themselves.

We see this as an open-level role. We care far more about how compelling you are in a room and how well you can demo a product than about years on a résumé.

What you'll do

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.

What we're looking for

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.

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.

Pursuant to the SanFrancisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

LlamaIndex does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, employees, or any other organization location. LlamaIndex is not responsible for any fees related to unsolicited resumes.

Values We Look For

We operate with complete honesty and stay true to our mission.

02

We adapt quickly, solve creatively, and thrive in ambiguity.

Exceptional Drive & Execution

We think strategically and deliver results with urgency.

04

Elevate & Empower

We share knowledge, build trust, and help teammates excel.

05

Deep Expertise

We value and cultivate deep domain knowledge. True innovation comes from mastering our craft andunderstanding the nuances of our field.

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