Technical Writer

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 seeking an experienced Technical Writer to join our team to help document our suite of technical products and developer tools. This role will be instrumental in creating clear and comprehensive documentation that enables developers and organizations to effectively integrate and utilize Anthropic’s technologies. Our current projects include documenting the Model Context Protocol (MCP) for LLM-to-external system integration, API documentation, product documentation such as for Claude Code, SDK guides, and various other technical features. The ideal candidate combines deep technical writing expertise with the ability to understand and explain complex concepts to diverse technical audiences.

Responsibilities:

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  Create and maintain high-quality technical documentation for various developer-facing products and features



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  Document APIs, SDKs, protocols, and integration patterns across multiple technical initiatives



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  Collaborate with engineering, product, marketing, and research teams to gather technical information and understand new features and capabilities



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  Develop code samples, tutorials, and quickstart guides for different products and use cases



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  Review and edit documentation for technical accuracy, clarity, and consistency with Anthropic’s documentation style guide



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  Gather and incorporate feedback from users and internal stakeholders to continuously improve documentation quality

You may be a good fit if you:

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  5+ years of professional technical writing experience, with a strong portfolio demonstrating API and developer documentation



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  A proven ability to document complex technical systems and make them accessible to various audience levels



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  Experience with documentation-as-code workflows, including Git, Markdown, and static site generators



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  Hands-on coding experience in at least one programming language (Python, TypeScript, or similar)



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  A strong understanding of modern software development practices



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  Excellent written and verbal communication skills



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  A self-directed work style with ability to manage multiple projects and priorities independently



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  Experience working with cross-functional teams in a fast-paced environment

Strong candidates may also have:

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  Experience documenting AI/ML tools, platforms, or APIs



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  Familiarity with prompt engineering and LLM concepts



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  Background in software development or engineering



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  Knowledge of CI/CD pipelines and automated documentation workflows



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  Experience with API specification formats (OpenAPI/Swagger)



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  Contributions to open-source documentation projects

The expected salary range for this position is:

Annual Salary:

$250,000 - $365,000 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 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.

How we're different

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.

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 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