Partnership Manager, AI for Science

We're looking for a Partnership Manager to grow our AI for Science Program. You'll build and manage partnerships with individual labs from around the world. This program is the primary way that Anthropic’s life sciences efforts work with individual labs that have new and innovative ideas for how Claude can contribute to a growing set of scientific domains. In this role, you'll help build our approach to deploying Claude for Life Sciences across domains of research including the biomedical sciences, chemistry, and materials science. You'll work with incredibly interdisciplinary partners from academia as well as early stage companies. Your goal will be to develop relationships and goal directed partnerships that demonstrate or expand the capabilities of Claude in the sciences. You will focus both on individual projects but also building communities of practice that bring together scientists with similar interests or objectives. The right person will combine genuine curiosity and grounding in the sciences with an entrepreneurial and experimental drive to build something new at the frontier of AI.

• Execute Anthropic's AI for Science API credit program, managing day-to-day 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
• Contribute to 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

• 2+ years of experience in or around life sciences research, with exposure to how new technologies can accelerate scientific progress
• Experience building communities of practice in which scientists from multiple domains converge on shared exploration and use of new technologies— whether through organizing journal clubs, meetups, student groups, or online scientific communities
• A growing network in the life sciences: you understand the landscape of universities, research institutes, and tools companies, and are energized by building new relationships
• 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
• An entrepreneurial mindset: you're excited to build programs from scratch, and may have early experience doing so at a startup, in a lab, or through a side project
• 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 managing external partnerships, grantmaking, or multi-stakeholder initiatives
• 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

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience. Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience. Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position.

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.