Technical Documentation and Content Engineer, Claude Docs
Own and unify the Claude Docs estate across Anthropic products by setting editorial standards, information architecture, and building automated self-healing documentation systems with AI-assisted maintenance and quality guardrails. Requires 5+ years combining technical writing, user education, and software engineering.
About the job
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.
Requirements
- 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.
- Bachelor’s degree or an equivalent combination of education, training, and/or experience in a relevant field.
Nice-to-Haves
- Software engineering experience: 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.
Skills
Technical Writing, Information Architecture, Documentation Systems, CI/CD, Python, TypeScript, JavaScript, Ai Evaluation Frameworks, Content Analytics, LLMs
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