AI Developer Advocate: Build, Teach, and Empower AI Builders

Gimlet Labs

San Francisco (CA)

On-site

USD 120,000 - 190,000

Full time

11 days ago
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Job summary

Gimlet Labs is seeking an AI Developer Advocate to help developers discover, evaluate, and successfully build on our AI inference platform. You’ll sit at the intersection of engineering, product, and community, crafting credible demos and educational content while engaging with AI builders to feed improvements into APIs, SDKs, and product docs.

This hands-on role requires clear communication, the ability to explain complex systems, and a passion for helping developers move from first API calls

Qualifications

  • Evidence of technical communication through articles, talks, documentation, or open-source projects.
  • Empathy for developers and the ability to recognize friction in APIs, documentation, and tooling.
  • Ability to explain technical subjects clearly to audiences with different levels of expertise.
  • Comfort engaging publicly and representing a technical product.
  • Ability to operate independently in a fast-moving environment.
  • Hands-on experience building applications with LLM or multimodal-model APIs.
  • Understanding latency, throughput, context length, batching, quantization, model routing, and cost.
  • Professional software development experience, ideally with Python or TypeScript.

Responsibilities

  • Identify channels for Gimlet’s developer outreach and build initial presence.
  • Build trusted relationships within AI developer communities.
  • Ship useful examples and educational content that developers actively adopt.
  • Establish a reliable feedback loop between developers and the product team.
  • Set an objective for developer experience on our upcoming developer cloud offering.

Skills

Technical communication
Python
TypeScript
LLM APIs
Multimodal-model APIs
Public speaking
Developer empathy

Tools

vLLM
SGLang
TensorRT-LLM

Job description

Gimlet Labs is seeking an AI Developer Advocate to help developers discover, evaluate, and successfully build on our AI inference platform. You’ll sit at the intersection of engineering, product, and community, crafting credible demos and educational content while engaging with AI builders to feed improvements into APIs, SDKs, and product docs.

This hands-on role requires clear communication, the ability to explain complex systems, and a passion for helping developers move from first API calls

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