Documentation Engineer

🇺🇸 San Francisco, California
$1K - $1K Annual
Posted 3 months ago
Expires June 9, 2026
Full TimeOn-siteEngineeringProduct

ABOUT THE COMPANY

Braintrust is the AI observability platform. By connecting evals and observability in one workflow, Braintrust gives builders the visibility to understand how AI behaves in production and the tools to improve it.

Teams at Notion, Stripe, Zapier, Vercel, and Ramp use Braintrust to compare models, test prompts, and catch regressions — turning production data into better AI with every release.

ABOUT THE ROLE

At Braintrust, documentation is a core part of the product experience. Our customers - developers and product managers shipping AI features - deserve docs that help them learn, onboard, and succeed with our product.

This role is for someone comfortable operating in ambiguity, who moves quickly without sacrificing quality, and takes ownership from understanding the product hands-on to shipping documentation that meaningfully reduces friction for users.

WHAT YOU’LL DO

- Ship high-quality documentation at speed - guides, tutorials, API references, SDK documentation, code samples, and more.

- Translate ambiguous goals into structured plans. Proactively unblock yourself through hands-on product testing, sharp questions, and cross-functional collaboration.

- Produce clear, correct, and complete docs that allow customers to onboard and use Braintrust with minimal support.

- Test the product hands-on. Build fluency in core Braintrust workflows, anticipate where users may struggle, and surface UX or DX issues early. Write code examples, call APIs, build with SDKs, and verify that everything works as expected.

- Use AI tools to accelerate your work - drafting, researching, reviewing, and iterating. We're an AI company, and we use AI to increase velocity and improve quality.

- Improve information architecture, clarity, and user flows.

- Engage early and often with partners. Communicate progress, risks, and insights proactively, and provide thoughtful feedback that improves both the product and how it’s documented.

- Follow existing...

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