Technical Program Manager, 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 

As a Technical Program Manager for our Model Context Protocol (MCP) initiative, you'll drive the development and growth of Anthropic's open-source ecosystem. You'll work closely with engineering teams, external partners, and community contributors to coordinate priorities, improve infrastructure, and ensure high-quality implementations. This role is critical in orchestrating a growing ecosystem of integrations that enhance Claude's capabilities and reach across various enterprise environments.

Responsibilities:

• Partner with engineering teams to understand technical requirements and execute on the MCP roadmap
• Coordinate between internal teams and external partners to prioritize features, manage contributions, and improve documentation
• Build and maintain relationships with key partners and community members to understand their technical requirements, dependencies, and constraints
• Lead meetings and program reviews for MCP workstreams, ensuring alignment and progress across technical teams and external stakeholders
• Organize and prioritize external contributions, ensuring they meet Anthropic's quality and security standards
• Facilitate coordination between teams working on various aspects of the MCP ecosystem
• Maintain comprehensive documentation of technical specifications and collaborate with product managers to ensure advancements are effectively communicated
• Provide detailed status reports, identifying technical risks, dependencies, and areas requiring additional support

You may be a good fit if you:

• Have several years of experience in technical program management, with a track record of successfully delivering complex technical programs
• Have experience with open-source ecosystems and understand how community-driven projects are developed and maintained
• Are comfortable navigating the unique incentives and dynamics of open-source development
• Have strong technical skills and can dive deep into technical details while maintaining a high-level view of program status
• Can effectively engage with both technical and non-technical stakeholders across organizational boundaries
• Are familiar with API development, integration patterns, and platform ecosystems
• Are highly organized and can manage multiple parallel workstreams effectively across distributed teams
• Thrive in unstructured environments and have a knack for bringing order to chaos
• Have a high threshold for navigating ambiguity and are able to balance setting strategic priorities with rapid, high-quality execution
• Have a track record of building trust with technical teams and driving change through influence
• Are passionate about AI development and deployment, with a strong interest in AI safety and responsible development

The expected salary range for this position is:

Annual Salary:$290,000—$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.