Technical Documentation & Content Engineer, Model Context Protocol
About Anthropic
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
Anthropic is pioneering safe and reliable AI assistants. As we continue to advance industry-leading language models, Model Context Protocol (MCP) represents a revolutionary approach to enabling secure, standardized connections between Claude and external systems. We're seeking an exceptional documentation engineer with deep MCP expertise to lead comprehensive documentation efforts across multiple Claude surfaces and drive adoption within the open source community.
This position reports to the Education team under Claude Skills and requires deep technical expertise in the MCP ecosystem. The successful candidate will become Anthropic's primary authority on MCP documentation and will be responsible for driving protocol adoption through exceptional developer education and community engagement. This role goes far beyond traditional technical writing. You'll be the definitive voice for MCP documentation, creating resources that will shape how developers worldwide implement and extend MCP. You'll work closely with the MCP team at the intersection of protocol specification, developer education, and open source community building.
Responsibilities
- Lead comprehensive documentation strategy for MCP across all Claude surfaces, Anthropic-owned SDKs and alongside the open source community
- Develop authoritative MCP protocol documentation, including technical standards, implementation guides, and compliance requirements
- Create extensive open source MCP resources, including reference implementations, community cookbooks, and integration examples for popular frameworks and platforms; this includes the ability to write, debug, and publish clean exemplary code
- Design and maintain MCP developer onboarding experiences, from quickstart guides to advanced protocol extension tutorials
- Collaborate with open source maintainers and community contributors to establish MCP documentation standards and contribution guidelines
- Build and maintain MCP protocol testing and validation documentation to ensure consistent implementations
- Develop multimedia technical content specific to MCP architecture, including protocol flow diagrams, security model visualizations, and integration pattern illustrations
- Lead community-driven documentation initiatives, including MCP community calls, documentation sprints, and contributor workshops
- Partner with engineering teams to translate MCP protocol updates and new capabilities into clear, actionable documentation
- Establish metrics and feedback loops to measure MCP adoption success and identify documentation gaps in the ecosystem
You may be a good fit if you
- 5+ years of experience in technical writing and software engineering
- Extensive hands-on experience working with MCP, including building MCP servers, clients, and tooling
- Proven track record of open source community leadership and contribution, particularly in developer tooling or protocol development
- Deep understanding of the MCP specification and implementation patterns
- Experience documenting APIs, protocols, and integration patterns for developer audiences
- Strong understanding of modern software development practices, including CI/CD, testing, and documentation-as-code workflows
- Experience with open source project management, including community governance, contribution processes, and maintainer workflows
- Excellent technical communication skills with ability to explain complex concepts to various audience levels
- Experience conducting developer research and gathering community feedback to inform documentation strategy
Strong candidates may also have
- Experience as an MCP server or client maintainer in the open source ecosystem
- Background in distributed systems, API design, or protocol development
- Contributions to major open source projects or technical standards
- Experience with enterprise software integration and security compliance documentation
- Knowledge of AI/ML integration patterns and LLM application development
- Experience with interactive documentation platforms and developer experience tools
- Background in technical product management or developer advocacy
The salary range for this position is:
$280,000 - $405,000 USD
Logistics
Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
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 sponsor visas. However, we aren't able to sponsor every role and every candidate. If we make you an offer, we will make every reasonable effort to obtain a visa, and we retain an immigration lawyer to assist with this.
Why Anthropic?
We encourage you to apply even if you do not meet every single qualification. Not all strong candidates will meet every qualification as listed. We value diversity of perspective and aim to create an inclusive environment.
How we're different
We believe that the highest-impact AI research is big science conducted by a collaborative team focused on ambitious long-term goals. We value measurable impact and strong communication skills.
The easiest way to understand our research directions is to read our recent work, including GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
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 welcoming office space for collaboration. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
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