Anthropic
Developer Relations
About this role
Join Anthropic as a Developer Relations professional to help developers discover and adopt Claude-powered products. You'll drive technical strategy, create high-quality developer content, and foster a thriving ecosystem while ensuring responsible AI use.
What you'll do
- Shape discovery and engagement strategies for Claude Code, Claude Tag, and future developer products
- Build frameworks to measure developer success and align adoption metrics with business and safety objectives
- Create high-quality technical content including sample apps, tutorials, documentation, and integration guides
- Lead developer events, workshops, and community activities to drive adoption across diverse developer segments
- Partner with product, engineering, GTM, and marketing teams to translate developer feedback into product initiatives
- Advocate for developer needs and promote best practices for responsible AI use within the developer community
What they're looking for
- Developer relations or developer experience strategy (5+ years)
- Technical credibility in AI/ML and API concepts
- Production-quality code writing and technical demo creation
- Developer psychology and community engagement
- Cross-functional collaboration and stakeholder influence
- Content creation (tutorials, documentation, technical writing)
- High-growth environment adaptability
- Commitment to AI safety and ethical considerations
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Anthropic
Anthropic builds Claude, an AI assistant, and is hiring for engineering roles across infrastructure, data systems, and security that support both AI research operations and the company's internal technology needs. The company seeks infrastructure engineers, systems integrators, data scientists, and security specialists to build production-scale systems for training data pipelines, financial operations, developer productivity measurement, research infrastructure, and server firmware security.
- Website
- anthropic.com
Likely interview questions
- Describe a time you shipped developer content or tools that measurably grew a developer ecosystem—what metrics did you track?
- How do you approach translating complex AI/ML concepts for audiences ranging from hobbyists to enterprise engineers?