Partner Manager, Global Health

Key Responsibilities

• Own the clinical research and evaluation agenda for global health work — define what needs to be proven, to what standard, with whom, and drive it forward.
• 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 linking model capability to care quality, health-worker performance, and patient outcomes.
• Build and manage global research partnerships; 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; ensure tools and evaluations reflect realities of care delivery in LMICs.
• Contribute across the broader global health portfolio, including adjacent workstreams, strategy setting, and serving as a thought partner to the team.

Minimum Qualifications

• 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 implications for AI tool design and evaluation.
• Direct experience evaluating or validating clinical AI/ML tools.
• 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; willingness to travel regularly (~25%).
• Genuine drive to maximize impact for underserved communities.

Preferred Qualifications

• 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.

Compensation

Annual Salary: $215,000–$300,000 USD

Logistics

• Minimum education: Bachelor’s degree or equivalent.
• Location-based hybrid policy: Expect staff to be in one of our offices at least 25% of the time.
• We sponsor visas where possible.