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About the Role
Gimlet Labs is seeking an AI Developer Advocate to help developers discover, evaluate, and successfully build on our AI inference platform. This role sits at the intersection of engineering, product, and community, requiring the creation of technically credible demos and educational content, direct engagement with AI builders, and the translation of feedback into product improvements. It is a hands-on technical position for individuals who enjoy building in public, explaining complex systems, and guiding developers from initial API calls to production deployments. Developer advocacy at Gimlet focuses on building trust, ensuring a positive building experience, and reflecting developer needs in the product.
Responsibilities
- Create technically credible demos and educational content.
- Engage directly with AI builders.
- Translate developer feedback into improvements across APIs, SDKs, documentation, and product experience.
- Identify the best channels for developer outreach and build initial presence.
- Build trusted relationships within relevant 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 the upcoming developer cloud offering.
Requirements
- Evidence of technical communication, including articles, talks, videos, documentation, open-source projects, or sample applications.
- Strong empathy for developers and an instinct for recognizing 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.
- Practical understanding of AI inference concepts such as latency, throughput, context length, batching, quantization, model routing, and cost.
- Professional software development experience, ideally with Python or TypeScript.
Skills
- AI inference
- LLM APIs
- Multimodal-model APIs
- Python
- TypeScript
- Open-weight models
- Serving frameworks (vLLM, SGLang, TensorRT-LLM)
- Agent frameworks
- Retrieval systems
- Evaluations
- Observability
- Fine-tuning
- Workshops
- Hackathons
- Developer programs
- Technical communities
- Open-source AI projects
- Developer relations
- Developer experience
- Solutions engineering
- Developer education
- GPU infrastructure
- Production ML systems
Location
- Remote
Work Type
- Full-time
Experience Level
- Professional software development experience
About the Company
- 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.
- Gimlet is expanding from its core technology into a production neocloud spanning new hardware, customers, and data centers.
- Solve hard problems.
- Own meaningful work.
- Build for production.
- Help define what’s next.
Equal Opportunity
- Gimlet Labs does not accept unsolicited resumes from recruitment agencies or search firms. Any unsolicited resumes submitted without a signed agreement will be considered the property of Gimlet Labs, and no fees will be paid.