Partnership Manager, AI for Science

AnthropicSan Francisco, CA
$215,000 - $300,000Hybrid

About The Position

Anthropic is seeking a Program Manager to lead and expand its AI for Science Program. This role involves building and managing partnerships with individual research labs globally, focusing on deploying Claude for scientific advancements in areas like biomedical sciences, chemistry, and materials science. The position requires developing relationships and goal-directed partnerships to demonstrate and enhance Claude's capabilities in scientific research. The Program Manager will also focus on building communities of practice among scientists with shared interests and objectives, combining deep scientific relationships with an entrepreneurial drive to innovate at the frontier of AI.

Requirements

  • 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
  • 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

Nice To Haves

  • 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

Responsibilities

  • 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

Benefits

  • competitive compensation
  • generous vacation
  • parental leave
  • flexible working hours
  • optional equity donation matching
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