Partner Manager, Global Health

Anthropic's mission is to create reliable, interpretable, and steerable AI systems, making AI safe and beneficial for users and society. The team is a quickly growing group of researchers, engineers, policy experts, and business leaders building beneficial AI systems.

Beneficial Deployments ensures AI reaches and benefits the communities that need it most, partnering with nonprofits, governments, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences.

Anthropic is seeking a Partnerships Manager to drive the clinical AI research agenda for its global health work, informing the tools that bring Claude safely into care and generating evidence that proves they work. The role defines how clinical AI tools should be validated for use in low- and middle-income countries (LMICs) and shapes the tools and safeguards that make Claude safe and usable in clinical settings. This hands-on role works alongside Anthropic's research, evals, and product teams, translating knowledge of care delivery in low-resource settings into evaluations, safeguards, and product improvements. The role joins a small global health team within Beneficial Deployments, leading on this domain while contributing to adjacent workstreams and overall team strategy.

• Own the clinical research and evaluation agenda for global health work, defining what to prove, to what standard, and with whom.
• Design clinical evaluations and validation frameworks for LLMs in LMIC contexts, covering accuracy, safety, multilingual performance, and real-world conditions, in partnership with research, evals, and product teams.
• Develop theories of change and outcome metrics connecting model capability to care quality, health-worker performance, and patient outcomes.
• Build and manage global research partnerships and engage with regulatory and normative bodies (WHO, national authorities, research-ethics bodies).
• Partner with internal research and product teams to improve Claude for clinical use cases in low-resource settings.
• Stay grounded in how care is delivered in LMICs and contribute across the broader global health portfolio.

• Medical training and clinical practice (MD, GP, MBBS, DO, or equivalent) with direct experience delivering care in low-resource settings.
• Concrete, on-the-ground understanding of clinical and care-delivery workflows in LMICs and what they mean for AI tool design and evaluation.
• Direct experience evaluating or validating clinical AI/ML tools, understanding the gap between benchmark performance and real-world clinical safety.
• Deep expertise in clinical research and evidence generation for digital health or AI tools.
• Strong command of the regulatory and normative landscape for clinical AI, including WHO processes, national regulatory authorities in LMICs, and research ethics.
• Track record of building research partnerships with academic and in-country researchers, treating local partners as scientific collaborators.
• High agency, strong team orientation, comfort with ambiguity, and willingness to travel regularly (~25%).

• Hands-on experience building or shaping AI/ML products or tooling — eval harnesses, agentic scaffolding, grounding and guardrails, or clinical decision-support workflows.
• Publication record in digital health, clinical AI evaluation, or implementation science.
• Experience at a healthtech or AI company in clinical validation, clinical quality, or medical affairs.
• Experience working with philanthropic funders on evidence generation or research strategy.
• Direct clinical experience in a low- or middle-income country, including with humanitarian or global-health delivery organizations.

Annual Salary: $215,000—$300,000 USD. For sales roles, the range is the On Target Earnings (OTE) range, including sales commissions/bonuses target and annual base salary.

Minimum education: Bachelor's degree or equivalent combination of education, training, and/or experience. Hybrid policy: all staff expected in one of Anthropic's offices at least 25% of the time. Visa sponsorship is available.