Developer Relations, MCP
San Francisco, CAFull-TimeMid-levelOther
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
- As Developer Relations for MCP (Model Context Protocol) at Anthropic, you will play a crucial role in how developers build agents that interact with external systems. This role will be pivotal in growing the MCP developer ecosystem, including gathering crucial feedback to inform evolution and development of the protocol.
- Your success in this role will directly shape the role the protocol plays in the ecosystem across countless use cases. Building strong relationships with our developer community will be essential as we advance our mission of creating reliable, interpretable AI that follows human intent.
Drive Strategic Impact
- Execute the near and long-term strategy for how developers discover and engage with MCP
- Prioritize community building and growth initiatives based on data, feedback, and the needs of developers building with AI
- Collaborate with product and engineering leadership to ensure developer needs inform the roadmap
- Foster a collaborative culture that embodies Anthropic's values while driving innovation in how we engage developers
Drive Scaled Developer Adoption and Success
- Understand the diverse needs of customers, partners, and stakeholders across different segments within the open source community
- Partner strategically with customer-facing teams to create unified developer-focused campaigns that drive adoption
- Organize and lead high-impact developer events, workshops, and community activities that introduce MCP to strategic developer communities
- Generate high-quality technical content including sample apps, tutorials, documentation, integration guides, and best practices that demonstrate how to use MCP responsibly and effectively
Drive Alignment and Innovation Through Cross-Functional Leadership
- Act as an advocate for MCP developer needs at Anthropic, translating developer feedback into strategic initiatives
- Collaborate with Research to translate AI capabilities into accessible educational resources
- Partner with Communications and Marketing teams to amplify developer success stories
About You
- You have 5+ years of experience in developer relations, developer experience, or technical product teams, with a proven track record of measurably growing developer ecosystems
- You're technically credible. You’re able to deeply understand AI/ML and API concepts and translate complex technical ideas for various audiences ranging from individual developers to enterprise executives
- You have hands-on technical abilities. You’re capable of creating your own code demos, critically reviewing developer samples for quality and best practices, and providing specific technical feedback that elevates the work of your team
- You have deep insight into developer psychology and behavior. You know how to reach developers through the right channels, build authentic affinity for products, and design education programs that drive meaningful adoption
- You're passionate about AI's potential and deeply committed to ensuring it's developed responsibly, with a genuine interest in AI safety and ethical considerations
- You’re an advocate for open source and Anthropic’s contributions to the community
Nice to Have
- Experience working specifically with large language models or generative AI
- Background in AI safety, ethics, or responsible AI development
- Public speaking experience at industry conferences and events
- Content creation experience (technical writing, video tutorials, etc.)
- Experience working with open source software communities
- The annual compensation range for this role is listed below.
- For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
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.
