Member of Product Staff - Health AI

MicrosoftLondon, England,GB, map[@type:Country name:GB]full timeSenior
Active

Job description

Own a product area end to end — define requirements; drive development from concept to shipped experience Translate strategy into user experience and technical requirements in close collaboration with UX and AI model development teams Shape how medical knowledge is sourced, grounded and surfaced — working with engineering and clinical partners on retrieval, source quality, provenance and the trade-offs behind them Break large, ambiguous problems into phased execution plans and lead a cross-functional team through them Manage scoping, scheduling, dependencies, and communication across engineering, design, clinical, privacy, and compliance partners Define goals and performance indicators, run experiments, and measure success through data, user research, and structured evaluation alongside clinical subject-matter experts — including defining what "good" looks like for a health answer Set the quality bar in a domain where accuracy, transparency, and trust are non-negotiable Bachelor's or Master's degree in Engineering, Computer Science, Mathematics, or a clinical or health-related discipline preferred 8+ years of experience in product management or equivalent Experience working with LLMs and/or generative AI, or demonstrated curiosity and desire to learn Demonstrated ability to operate independently in a fast-paced environment, manage multiple priorities, and adapt as the landscape shifts Experience shipping in regulated or high-consequence domains, treating privacy, compliance, and safety review as design constraints rather than afterthoughts Experience working in healthcare, ideally on software used by consumers, clinicians or within care delivery settings Experience with search, ranking, retrieval or recommendation systems, or with information quality and provenance problems Experience partnering with subject matter experts to define quality bars, ground truth, and evaluation methodology