Director of Product Marketing Management for Health

Microsoft Microsoft · Big Tech · Redmond, WA +4 · Product Marketing

Director of Product Marketing Management for Health at Microsoft, focusing on how AI Copilot shows up in people's health journeys, earns trust, and becomes indispensable. This is an upstream role involving user/competitive insights, narrative, and strategic conditions for building AI health solutions. Requires deep domain experience in healthcare, understanding of clinical workflows, patient needs, regulatory environments, and ethical stakes. The role influences product strategy, user experience, and quality bars, crafting category-defining positioning and early go-to-market strategies. It emphasizes building trust, privacy, and responsible AI, aiming to turn ambition into adoption and innovation into trusted outcomes.

What you'd actually do

  1. Deep health industry, clinical and user understanding: Working very closely with the Product Team and Domain resources, you will be a very deep source of truth on the healthcare landscape as it relates to Copilot — including clinical workflows, patient needs, regulatory considerations, competitive dynamics, emerging models of care, and commercial models. You will synthesize industry knowledge, competitive intelligence, and qualitative and quantitative user research to shape product direction and define “what should be true” for us to win in health. You will develop an understanding on how ordinary people are reacting to/engaging with AI health experiences, and what we need to do in order to deeply connect with their emotional, mental, and physical needs better than anyone else.
  2. Narrative before product: Support the Product Team in articulating the user promise, emotional center, and differentiated value of Copilot in health long before features ship — and use that narrative to influence product strategy, experience design, and quality bars.
  3. Roadmap shaping with conviction: You will partner deeply with Product, Design, Research, and Engineering to push for the features, experiences, safeguards, and standards required for clinical credibility, user trust, retention, and long term value.
  4. Category-defining positioning: You will craft positioning that is clear, human, uniquely ownable, and clinically credible
  5. Early go-to-market (GTM) and Creative Development: Contribute meaningfully to the earliest phases of go to market and creative thinking: the insight, the story, the cultural and clinical relevance, and the ambition for launch.

Skills

Required

  • Product Marketing Management
  • Healthcare industry expertise
  • Understanding of clinical workflows
  • Understanding of patient needs
  • Knowledge of regulatory environments
  • Ethical considerations in AI
  • User and competitive insights synthesis
  • Narrative development
  • Product strategy influence
  • Category framing
  • Go-to-market strategy
  • Creative development
  • Messaging architecture
  • Value proposition development
  • Leadership
  • Mentoring
  • Trust, privacy, and responsible AI principles
  • US healthcare market knowledge
  • Strategic health research
  • Measurement and analytics for trust, engagement, and retention

Nice to have

  • AI Copilot experience
  • Experience with AI health experiences

What the JD emphasized

  • deep domain experience
  • clinical credibility
  • profound respect for human trust
  • user and competitive insights
  • strategic conditions
  • genuinely improving health outcomes
  • viable and compelling alternative
  • director-level health product marketing manager
  • already worked in healthcare
  • realities of clinical workflows
  • patient needs
  • regulatory environments
  • ethical stakes
  • meaningfully reach the people and systems that need them
  • execution
  • turning ambition into adoption
  • innovation into trusted outcomes
  • deep institutional commitment to trust, privacy and responsible AI
  • build in healthcare the right way—not the fast way
  • clinical workflows
  • patient needs
  • regulatory considerations
  • competitive dynamics
  • emerging models of care
  • commercial models
  • clinical credibility
  • user trust
  • retention
  • long term value
  • clinically credible
  • cultural and clinical relevance
  • consumers to clinicians
  • trust, privacy, and responsible AI
  • US healthcare
  • Strategic health research
  • trust, engagement, and retention over time