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Developer Evangelist at Greylock-backed AI infrastructure startup

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Jack & Jill
Full Time position
Listed on 2026-06-15
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Job Title

Developer Evangelist

Salary

Not Disclosed

Company Description

Greylock and Norwest-backed Series A startup building agentic OCR and document parsing infrastructure for the AI era

Job Description

You will be the public face of a high-growth AI infrastructure startup, evangelizing a world-class document parsing engine. By speaking at major conferences, creating high-quality video content, and building technical demos in Python and Type Script, you will solve the critical document ingestion problem for developers and enterprises building LLM-powered applications.

Location

San Francisco, USA

Why this role is remarkable
  • Join a fast-growing team of 44 people backed by premier investors like Greylock and Norwest, operating at the critical infrastructure layer of the AI stack.
  • Take ownership of the narrative for a product handling millions of pages daily, with the autonomy to shape the company's entire evangelism program.
  • Enjoy a high-visibility role that places you at the center of the AI ecosystem, speaking at premier events like Kube Con and the AI Engineer Summit.
What You Will Do
  • Represent the product globally at conferences, meetups, and hackathons through live demos and technical talks that prove the engine's power on messy, real-world files.
  • Produce a steady stream of technical content including video walkthroughs, live streams, and social threads that showcase structured data extraction from complex documents.
  • Build sharp, functional demo applications and code examples in Python and Type Script to provide developers with a clear path to production deployment.
The ideal candidate
  • A natural performer on stage and camera with a track record of building a developer audience and making technical infrastructure compelling to watch.
  • Technically proficient enough to write production‑grade code in Python or Type Script and understand the nuances of LLM, RAG, and document pipelines.
  • Highly mobile and energized by a hybrid San Francisco schedule combined with significant travel to engage with developer communities face‑to‑face.
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