Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
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 USDMinimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
