ashby
Developer Relations
Gimlet Labs
San Francisco, USA
Full-time
Mid
Onsite
Discovered Yesterday
PythonTypeScriptvLLMSGLangTensorRT-LLM
Free
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Role Overview
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. You’ll create technically credible demos and educational content, engage directly with AI builders, and turn their feedback into improvements across our APIs, SDKs, documentation, and product experience.
This is a hands-on technical role for someone who enjoys building in public, explaining complex systems clearly, and helping developers move from their first API call to reliable production deployments.
Developer advocacy is not simply promotion. The role succeeds when developers trust our technical guidance, enjoy building with the platform, and see their needs reflected in the product.
You should be equally comfortable writing code, teaching a technical concept, talking with a developer who is stuck, and explaining to an internal team why a particular piece of developer friction matters.
Key Skills for This Role
PythonTypeScriptvLLMSGLangTensorRT-LLM
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About us
Gimlet is building the first multi-silicon neocloud designed for fast, efficient AI inference.
We combine large-scale compute infrastructure with an execution platform that partitions AI workloads and maps each stage to the hardware best suited to run it.
We work with foundation labs, hyperscalers, and AI-native companies, giving our team access to technical problems spanning frontier models, production infrastructure, and emerging hardware.
About the role
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. You’ll create technically credible demos and educational content, engage directly with AI builders, and turn their feedback into improvements across our APIs, SDKs, documentation, and product experience.
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