Senior Technical Documentation Specialist, Claude Developer Platform

Anthropic • San Francisco, CA

2h • $1 - $2 • Hybrid

About The Position

Anthropic is pioneering safe and reliable AI assistants. As we continue to advance industry-leading language models, the Claude Developer Platform (CDP) — including our APIs, SDKs, and developer tooling — is how tens of thousands of developers build AI-powered applications. We're seeking a technical documentation specialist with strong technical fluency and AI development experience to lead comprehensive documentation efforts and drive adoption across the global developer community.
This role goes beyond traditional technical writing. You'll own the documentation content experience for the Claude Developer Platform — APIs, SDKs, integration patterns, and AI application development workflows. You'll create the standards and resources that shape how developers worldwide build with Claude, from their first API call to production-scale AI pipelines. You'll work at the intersection of developer tooling, AI application development, and developer education.
Technical requirements: This role requires solid code literacy — you should be able to read and understand API references, SDK code, and developer examples well enough to write accurate documentation about them. You'll work closely with engineering and devrel teams who build reference implementations and cookbooks, but you need enough technical fluency to independently write clear code snippets, test examples, and understand the developer experience you're documenting. Familiarity with AI development patterns (prompt engineering, tool use, multi-step workflows) is important so you can explain them credibly.

Requirements

• 5+ years of experience in technical writing and developer education, with demonstrated expertise in API and SDK documentation
• Hands-on experience building AI applications using Claude or other LLMs — you've developed real projects, not just written about them
• Proficiency in Python and TypeScript/JavaScript sufficient to write, debug, and publish clean example code
• Strong understanding of AI development patterns: context engineering, evaluation, tool use, and agentic workflows
• Experience creating developer-facing content (written and visual) that drives understanding and reduces friction
• Deep understanding of modern software development practices including version control, CI/CD, testing, and API design
• Strong understanding of web architectures, authentication patterns, and integration approaches
• Excellent technical communication skills with ability to explain complex AI concepts to developers at varying skill levels
• Experience conducting developer research and gathering feedback to inform documentation strategy
• Demonstrated ability to create comprehensive workflow documentation and developer guides
• We require at least a Bachelor's degree in a related field or equivalent experience.

Nice To Haves

• Published content (blog posts, videos, tutorials) demonstrating AI development best practices
• Experience with developer tooling, SDK design, or API platform teams
• Background in AI/ML application development and prompt engineering
• Contributions to open-source projects related to AI development
• Background in software engineering with experience shipping developer-facing products
• Knowledge of evaluation frameworks, observability tools, and production AI system monitoring
• Visual design sensibility — ability to create clear architecture diagrams, technical slides, and concept visualizations

Responsibilities

• Develop authoritative best practices documentation for building AI applications with Claude, including prompt engineering, tool use, streaming, multi-turn workflows, and agentic patterns
• Create extensive resources for different development environments, languages, and frameworks, including working code examples
• Design and document developer onboarding experiences, from first API call to production deployment
• Build comprehensive guides for common AI development patterns and concepts: context engineering, evaluation workflows, content generation systems, classification tasks, and multi-step agents
• Develop multimedia technical content including architecture diagrams, concept visualizations, and integration pattern illustrations
• Collaborate with engineering teams to document new platform features, SDK releases, and capability expansions
• Establish metrics and feedback loops to measure documentation effectiveness and identify developer friction points
• Partner with developer relations teams to create content for conferences, blog posts, and community engagement
• Contribute to documentation toolchain and infrastructure improvements

Benefits

• competitive compensation and benefits
• optional equity donation matching
• generous vacation and parental leave
• flexible working hours
• a lovely office space in which to collaborate with colleagues

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 1,001-5,000 employees