Developer Evangelist, Technical Content

Jobtailor

San Francisco (CA)

Hybrid

USD 120,000 - 180,000

Full time

14 days+

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Job summary

LlamaParse is seeking a Developer Evangelist in the San Francisco Bay Area for a hybrid role. You will build real-world demos using Python and/or TypeScript, speak at events, and create technical content that demonstrates how LlamaParse handles messy documents in production.

You will evangelize the product through conferences, social media, and live demos, collaborating with product and engineering to launch content that drives adoption and engagement with the developer community.

Qualifications

Proficient in Python and/or TypeScript with ability to write real demos.
Clear technical communication for diverse audiences, from beginners to seniors.
Working knowledge of AI apps, OCR, LLMs, RAG, and document pipelines.
Based in or willing to be in the SF Bay Area for a hybrid schedule and travel for events.

Responsibilities

Represent LlamaParse at conferences, meetups, hackathons, and workshops.
Evangelize the product through real-world demos and storytelling.
Create technical content across formats: videos, blogs, livestreams, and talks.
Develop sharp demos and apps proving product use on real documents.
Collaborate with product/engineering on launches to drive adoption.
Maintain visibility in the developer community and collect feedback.

Skills

Python Programming

TypeScript Programming

Technical Communication

AI Application Knowledge

Document Parsing Expertise

Tools

Social Media

YouTube

Live Streaming

Job 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.
Based in or willing to be in the San Francisco Bay Area for a hybrid schedule, with real willingness to travel for events.

Core Competencies

Demonstrates expertise in technical communication and content creation, with a strong ability to engage the developer community through live demos, social media, and technical writing. Proficient in Python and/or TypeScript for building realistic demos and has a solid understanding of AI applications related to document parsing.

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