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