Technical Documentation and Content Engineer, Claude Docs
About the role
You will own the documentation for Claude apps . This role goes far beyond traditional technical writing. The docs estate of Claude Docs spans multiple product surfaces (Claude.ai, Cowork, Claude Tag, Claude Science, etc.) written by many hands across many teams. You'll own the unification layer: the architecture, the standards, and — centrally — the engineered systems that keep quality high at scale.
This is a content + systems ownership role. You'll curate and set the bar for what others write, and you'll build the automation that enforces it: self-healing pipelines, AI-assisted review and maintenance, and the conventions each product team follows to keep their own docs healthy. You'll work alongside the engineers building our docs tooling today.
About Anthropic
Anthropic is an AI safety and research company working to build reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our customers and for society as a whole. Our interdisciplinary team has experience across ML, physics, policy, business, and product.
Key responsibilities
Own the information architecture, style, and editorial standards of the Claude Docs site as a single unified surface
Design, build, and run automated documentation systems: self-healing pipelines, AI-assisted review and maintenance, and quality guardrails that catch problems before readers do
Establish the conventions and tooling product teams adopt to keep their own documentation accurate and consistent
Establish and maintain the style guide, a standard set of content types, and clear workflows for creating, reviewing, and publishing documentation
Curate contributions from across the company: edit for clarity and consistency, prune what's stale, and shape how new content fits the whole
Define and track measures of content quality and discoverability, and use reader feedback and analytics to drive improvements
You may be a good fit if you have
5+ years at the intersection of documentation, user education, and software engineering
Knowledge of evaluation frameworks or observability for AI-powered systems
Experience guiding a documentation platform migration or redesign
Content analytics and experimentation experience
Modern software development practices: version control, CI/CD, testing
Excellent technical writing and editing — enough craft to set and standardize a high quality bar
Experience establishing editorial standards and information architecture for a substantial technical documentation site
Strong candidates may also have
Software engineering experience: you can design, build, ship, and maintain production tooling, with proficiency in Python and/or TypeScript/JavaScript
Experience building automated documentation or content systems — pipelines, CI checks, AI-assisted maintenance
Experience building AI applications or AI-powered tooling with LLMs
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$270,000—$320,000 USD