Developer Advocate (AI)

TL;DR

Developer Advocate (AI): Evangelizing LlamaParse by creating technical content and representing the product at global events with an accent on document parsing and structured data extraction. Focus on building convincing demos, scaling developer adoption through social media, and bridging the gap between the community and the product team.

Location: Must be based in or be able to work from the San Francisco Bay Area (Hybrid)

Salary: $130,000 – $250,000

Company

hirify.global builds LlamaParse, an agentic OCR and document parsing engine that transforms complex documents into structured data for AI applications.

What you will do

• Represent LlamaParse at conferences, meetups, hackathons, and workshops through live demos and speaking engagements.
• Create high-impact technical content including video walkthroughs, livestreams, blog posts, and social media threads on X, LinkedIn, and YouTube.
• Build technical demos and example applications to prove product value on complex, real-world documents.
• Drive adoption by partnering with product and engineering teams on new feature launches.
• Engage with the developer community to gather feedback and provide technical support.

Requirements

• Ability to build working code in Python and/or TypeScript.
• Strong understanding of the AI landscape, specifically LLMs, RAG, and OCR pipelines.
• Proven track record of creating technical content and maintaining a presence on social media.
• Comfort and experience with public speaking and on-camera presentations.
• Based in or willing to be in the San Francisco Bay Area for a hybrid work schedule.

Nice to have

• Existing reputation or audience within the AI or developer community.
• Experience organizing developer events or hackathons.
• Skills in video production or livestreaming.
• Hands-on experience with document-heavy AI use cases.

Culture & Benefits

• Opportunity to shape the narrative of document understanding in the AI era.
• High-visibility role as the public face of a cutting-edge AI product.
• Collaborative environment working directly with engineering and product teams.
• Flexible, open-level role focusing on impact and ability over years of experience.