Partnership Manager

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.

• Own and execute Anthropic's AI for Science API credit strategy, managing partnerships with academic labs, small start-ups, and potentially foundations.
• Identify, evaluate, and onboard new partners via our API credit application calls as well as targeted relationship building.
• Serve as the primary relationship owner for AI for Science, coordinating with Anthropic’s Applied AI, product, and GTM teams to deliver impact.
• Compile regular reports and learnings from the AI for Science ecosystem to help inform research and GTM priorities.
• Manage timelines, resource requirements, and regular reporting associated with the AI for Science program.
• Work closely with partners to understand their technical and operational needs and translate them into deployment plans.
• Comfort with early technical prototyping and testing to help learn alongside and unblock partners.
• Set a research agenda for understanding AI's impact on individual labs across domains.
• Identify opportunities to create public goods -- open-source tools, datasets, and research -- that benefit the broader ecosystem.
• Represent Anthropic at global scientific convenings and conferences.
• Help shape team processes and culture as we scale our Life Science work.

• 7+ years of experience in life sciences research with ample exposure to the intersection of new technologies as a catalyst for accelerating progress.
• 3+ years of experience managing external partnerships, grantmaking, or multi-stakeholder initiatives.
• Deep relationships and credibility in the life sciences domains: you are familiar with the key players at major universities, research institutes, and tools companies.
• Technical fluency to engage credibly on AI concepts, understand LLM capabilities and limitations, and partner effectively with technical teams.
• Analytical mindset with experience using data to inform strategy and measure impact.
• Experience building communities of practice in which scientists from multiple domains converge on shared exploration and use of new technologies.
• An entrepreneurial mindset: you've built programs or organizations from scratch, likely at startups or in founding roles.
• A genuine drive to maximize impact for underserved communities.
• High agency and comfort with ambiguity; you thrive when you're building the plane while flying it.
• Strong prioritization skills and the ability to manage a high volume of partnerships and opportunities.
• Willingness to travel for occasional partner visits and conferences.

• Experience working with philanthropic foundations on science funding.
• Background at biotech companies, academic research institutions, funding, and roles at the intersection of scientific research and technology product.
• Background in wet lab research with an ability and aptitude for scientific communications.