Developer Advocate, Machine Learning (Remote)

Developer Relations San Francisco or remote · Full-time
Make Coral Bricks the obvious default for the people building agent harnesses — through integrations, benchmarks, and workshops
About Coral Bricks Our mission is to make frontier intelligence affordable and accessible to everyone. We're building the inference platform that ends that, starting with the workloads that feel the squeeze hardest: research and coding agents that swarm across multiple models, plan, call tools for hours, and reason over big context. The team is small, technical, and shipping.
It's one loop, not three jobs: ship the Coral provider integration into a harness, publish the benchmark that came out of doing it, then run the workshop where people use it live. This is a founding go-to-market role, and it is an engineering role. Get Coral Bricks shipped as a first-class provider in the open-source agent harnesses developers already use. That means real PRs into other people's repos: provider adapters, docs, config examples, and the follow-through to keep them working as those projects move.
Technical content with original numbers. Benchmarks, teardowns, and engineering writeups where the data is yours — you ran it, you can defend it, and a reader can reproduce it. Our audience is CTOs, ML engineers, and Python developers who discount anything that reads like marketing, so this is the whole bar.
That belongs in front of the engineering team while it's still fresh, not in a quarterly summary.
You probably have Enough engineering depth to work unsupervised in an unfamiliar codebase: comfortable in Python and TypeScript, comfortable opening a PR against a project you didn't write.
The ability to generate your own data. Comfort in front of a room, and comfort traveling for it. You'll set your own target list and work it without much management.
Bonus You've done developer relations or partner engineering at a developer-infrastructure or ML company before, and can point at what came of it.
Merged contributions to an agent framework, coding harness, or inference project.
An audience you've built — a blog, a talk series, a maintainer role, a community you're known in.
How we'll work together You'll report to the CEO and set the target list of harnesses and events with him. We measure this role on things you can point at: integrations merged and live, developers who signed up and made a real API call because of a channel you own, posts published with data you generated, and workshops where attendees left with working code.
Compensation and shape $120,000-$180,000 base salary, plus 0.25%-1.5% equity, depending on experience. Cash and equity move together — take less of one and we'll weight the other.
Equity vests over four years with a one-year cliff. Health, dental, and vision coverage, and flexible time off. Full-time, based in San Francisco or remote.

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