--- title: 'Developer Evangelist, Growth at LlamaIndex' canonical: 'https://feeny.ai/job/developer-evangelist-growth-llamaindex-san-francisco-znrgw9a0kbsh' type: 'job' last_seen: '2026-09-10' --- # Developer Evangelist, Growth at LlamaIndex - **Company:** LlamaIndex - **Location:** San Francisco, CA - **Compensation:** $130k–$250k - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-08-21 - **Last confirmed live:** 2026-09-10 - **Apply:** https://jobs.ashbyhq.com/llamaindex/ee009847-6f1d-42f5-ab9f-805072f7a3e9 ## Job description 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 San Francisco 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. ## About LlamaIndex ## Company Overview - **One-liner**: LlamaIndex provides an enterprise-grade agentic document processing platform that uses AI to parse, extract, index, and retrieve data from complex, multi-modal documents. - **Entity Type**: Private (Series A) - **Headquarters**: San Francisco, California, United States - **Founded**: 2022 - **Founders**: Jerry Liu (Co-Founder) ## Core Business - **Primary industry/industries**: AI Document Processing, Enterprise Infrastructure, Data Retrieval & RAG (Retrieval-Augmented Generation) - **Target customers**: B2B; Enterprise (Fortune 50), SMB, and developers building production-grade AI workflows. - **Mission or purpose statement**: "Our mission is to automate knowledge work, beginning with the hardest frontier: documents." ## Products & Services - **LlamaParse**: Industry-leading document parser for 50+ unstructured file types (PDFs, Office docs, images, handwritten notes). Supports embedded images, complex layouts, and multi-page tables. Available as a cloud service or for local/on-premise deployment. - **LiteParse**: Open-source, lightweight document parser for local processing. Parses text from PDFs, Office docs, and images without requiring cloud services or LLM tokens. - **Extraction Agents**: LLM-powered, schema-based extraction agents that turn unstructured content into structured data without training. - **Indexing & Retrieval Pipeline**: Enterprise-grade chunking and embedding pipeline for RAG, designed for precision and relevance. - **LlamaAgents**: Enables developers to build reliable, production-ready workflows around documents, covering ingestion, extraction, reasoning, and automation. ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed. - **Key Metric**: Total Funding of **$28.5M** across 4 rounds. - **Notable Investors/Partners**: Greylock (lead Seed), Norwest (lead Series A), Databricks Ventures, KPMG Ventures, Amazon Web Services (AWS). Backed by world-class investors including Jack Altman (Alt Capital), Lenny Rachitsky, Mathilde Collin, Raquel Urtasun, and Joseph E. Gonzalez. - **Growth Signals**: - 25M+ package downloads per month. - 300k+ LlamaParse users. - 1.5k+ open-source contributors and 20k+ community members. - One of the largest developer communities in GenAI. - Headcount grew **62.3% YoY** (from ~27 to 44 employees). - 1 billion+ documents processed. - Used by the fastest-growing AI companies and the Fortune 50. - Active job postings increased **100% year-over-year** (8 open roles). ## Competitive Advantages - **Massive Developer Community & Open-Source Roots**: With 25M+ monthly downloads and 20k+ community members, LlamaIndex has deep adoption and mindshare among AI developers, creating a strong network effect. - **Agentic Document OCR Leadership**: Positioned as the "world’s best agentic document OCR," combining VLM-powered understanding with natural language workflow building, making it uniquely suited for complex, messy documents. - **Enterprise-Grade Security & Compliance**: HIPAA, GDPR, and SOC2 compliant out-of-the-box, with granular access controls, data encryption, and flexible deployment (cloud or fully in VPC). - **99.9% Uptime SLA**: Infrastructure built for always-on document processing under real production load. - **Dedicated Support & SLAs**: Tailored to mission-critical AI workloads, with fast response times. ## Strategic Focus - **Product Expansion**: Continuing to build out the LlamaAgents platform for end-to-end document workflow automation, moving beyond just parsing and extraction. - **Enterprise Sales**: Hiring dedicated Sales Leaders and Account Executives for Mid-Market and Enterprise segments in North America and EMEA. - **Open-Source Community Growth**: Maintaining a strong open-source presence while building a commercial enterprise product around it. - **Industry Verticals**: Targeting document-heavy industries like Manufacturing, Finance, Insurance, Healthcare, and Risk. ## Why Work Here - **Impactful Mission**: Ground-floor opportunity at the center of the AI revolution, building tools used by millions worldwide to "automate knowledge work." - **Culture**: Values include being goal-oriented, transparent about wins and mistakes, debating fast and committing fully, assuming best intent, and prioritizing the best idea over hierarchy. Described as a "small team driving far-reaching impact." - **Work Policy**: Fully supported hybrid & remote work. Beautiful, easily accessible office in San Francisco. - **Compensation & Benefits**: - Competitive base salary & equity compensation. - Generous equipment allowance. - Flexible PTO to recharge and rest. - Medical, dental, and vision for you & your family. - Daily catered lunches & snacks in the office. - Ongoing professional development opportunities. - **Team & Culture Highlights**: Collaborative team of passionate individuals pushing boundaries. Emphasis on shipping quickly but thoughtfully, with a focus on reliability and scalability. ## Sources 1. [llamaindex.ai](https://www.llamaindex.ai/) 2. [llamaindex.ai/about](https://www.llamaindex.ai/about) 3. [llamaindex.ai/careers](https://www.llamaindex.ai/careers) 4. 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