Technical Program Manager - Health AI Research

Partner with research and applied AI science to shape goals, priorities, and success metrics, and own end-to-end execution of complex health AI research programs - managing planning, milestones, dependencies, and risks across the model development lifecycle. Drive cross-functional execution across research, engineering, clinical, product, and compliance, acting as the connective tissue between teams - translating requirements, managing trade-offs, and keeping critical paths unblocked. Steer model development and launch readiness against clear safety, quality, privacy, and clinical criteria, and own the operational health of training and evaluation runs, including compute and resource planning. Bring structure and enablement to fast-moving research - establishing lightweight operating mechanisms and maintaining the artefacts that keep teams aligned. Communicate progress, risks, and plans, distilling complex technical information into clear insights for leadership, and advocate for the resourcing and focus the team needs to deliver. Several years of experience in technical program management, with a track record of delivering complex, cross-functional programs. Experience delivering AI/ML programs spanning research (pretraining, post-training, and/or evaluation), partnering directly with researchers and applied scientists. Technical fluency to reason about model training, evaluation methodology, data, and infrastructure trade-offs, engage credibly with researchers and engineers, and stay current on emerging AI approaches. Ability to bring clarity to complex, ambiguous, and changing research challenges, and comfort doing so at pace. Strength in translating requirements across research, product, engineering, clinical, and partners such as Compliance, Legal, and Responsible AI, sustaining strong relationships under pressure. Strong written and verbal communication, with the ability to influence without authority and align stakeholders with different priorities. A collaborative way of working that fosters accountability, rigour, and continuous improvement. Experience in health AI, healthcare technology, or other regulated software environments. Advanced degree in a technical field (CS/ML) or Life Sciences/ Medicine.