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 Developer Relations Engineer to join our team to create technical content and code examples that empower developers to build with Claude and Anthropic's technologies. This role will be instrumental in crafting high-quality cookbooks, quickstarts, sample applications, and technical resources that demonstrate best practices and innovative use cases. You'll work at the intersection of engineering and education, creating code that not only works but teaches. The ideal candidate combines strong software engineering skills with a passion for helping other developers succeed through clear, practical examples and engaging technical content.
Responsibilities:
Design and develop comprehensive code examples, cookbooks, and quickstart guides for Anthropic's products and APIs
Create sample applications and reference implementations that showcase best practices and advanced use cases
Write clear, detailed documentation within code repositories including READMEs, inline comments, and architectural explanations
Contribute to open-source repositories that serve the developer community
Author technical blog posts that explore engineering concepts, implementation patterns, and innovative applications
Collaborate with engineering, product, and research teams to understand new features and translate them into practical developer resources
Gather feedback from the developer community to identify gaps in resources and continuously improve content quality
Maintain and update existing code examples to reflect API changes and evolving best practices
You may be a good fit if you:
Have 5+ years of professional software engineering experience with a strong portfolio of technical projects
Have a proven ability to write clean, well-documented code that serves as both functional software and educational material
Have experience creating technical content such as tutorials, documentation, or educational code samples
Have strong programming skills in multiple languages, with expertise in at least Python and TypeScript/JavaScript
Have excellent written communication skills with the ability to explain complex technical concepts clearly
Have experience with modern development practices including version control (Git), CI/CD, and testing
Have a passion for developer education and enabling others to build successfully
Are self-directed work style with ability to identify high-impact projects and execute independently
Strong candidates may also have:
Experience in developer relations, developer advocacy, or technical education roles
Background working with AI/ML technologies, APIs, or LLMs
Published technical blog posts, conference talks, or open-source contributions
Experience building and maintaining developer tools or SDKs
Familiarity with multiple programming paradigms and frameworks
Active participation in developer communities
Experience with video content creation or live coding demonstrations
The expected salary range for this position is:
Annual Salary:
$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 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