Developer Advocate: AI Infrastructure & Open Models

fireworks.ai

San Francisco (CA)

Presencial

USD 120.000 - 180.000

Jornada completa

14 días+

Una candidatura completa en un minuto

Currículum y carta de presentación personalizados, listos para enviar.

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Descripción de la vacante

Fireworks is hiring a Developer Advocate who builds runnable content for developers, ships demos, and becomes a credible voice in AI infrastructure. You will own launch responses, grow presence in docs, blogs, GitHub, Discord, and newsletters, and speak at conferences while mentoring teams.

You should be strong in Python and TypeScript, with hands-on experience in LLM APIs and model deployment, plus a public track record in writing or talks.

Formación

  • 5+ years shipping production software and/or developer-facing roles (DevRel/technical writing acceptable).
  • Strong Python and JavaScript/TypeScript skills for end‑to‑end demos and content.
  • Hands-on with modern AI stacks, including LLM APIs and model deployment.
  • Public track record through talks, blogs, videos, or open‑source work.

Responsabilidades

  • Build runnable developer content: cookbooks, quickstarts, reference apps, and tutorials.
  • Own the launch response with demos, benchmarks, and practical how‑tos.
  • Engage where developers are: docs, blogs, GitHub, Discord, and developer newsletters.
  • Speak at conferences, run workshops, and mentor at events.
  • Bridge product and engineering with feedback backed by evidence and reproducible results.

Conocimientos

Python
TypeScript/JavaScript
DevRel
Public speaking
Technical writing
LLM APIs

Herramientas

LLM APIs
Agent frameworks
Open‑source tools

Descripción del empleo

Fireworks is hiring a Developer Advocate who builds runnable content for developers, ships demos, and becomes a credible voice in AI infrastructure. You will own launch responses, grow presence in docs, blogs, GitHub, Discord, and newsletters, and speak at conferences while mentoring teams.

You should be strong in Python and TypeScript, with hands-on experience in LLM APIs and model deployment, plus a public track record in writing or talks.

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