Lead Technology Product Manager, AI Clinical Decision Support at Wolters Kluwer | Austin, TX, US | Rezi

Lead Technology Product Manager, AI Clinical Decision Support at Wolters Kluwer

Lead Technology Product Manager, AI Clinical Decision Support

Wolters Kluwer · Austin, TX, US

1 months ago

Lead Technology Product Manager, AI Clinical Decision Support

Wolters Kluwer · Austin, TX, US

2 months ago
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About the Role

Wolters Kluwer Health's UpToDate suite supports millions of clinical decisions daily. This role focuses on building useful, responsible, and engaging AI product experiences that support clinical judgment and strengthen the core UpToDate experience, helping clinicians get from question to answer faster.

Responsibilities

  • Drive discovery and delivery for defined AI-enabled clinical decision support capabilities.
  • Translate clinician, customer, and business needs into product requirements, experiments, roadmap priorities, and measurable outcomes.
  • Shape experiences that help clinicians ask questions, find relevant information, understand clinical context, and move from question to action with confidence.
  • Partner with engineering, design, clinical, content, analytics, customer-facing, and commercial teams from discovery through launch and iteration.
  • Define success metrics tied to adoption, engagement, trust, user satisfaction, workflow impact, and business value.
  • Use customer conversations, concept tests, analytics, and feedback to validate user needs and product direction.
  • Make product decisions that balance customer value, usability, clinical trust, technical feasibility, speed, cost, and responsible AI considerations.
  • Communicate roadmap priorities, rationale, risks, and tradeoffs clearly across teams and leadership.

Requirements

  • 5+ years of product management experience in healthcare, enterprise SaaS, content products, search, workflow, or data-driven products.
  • Strong product discovery and execution skills, including customer research, experimentation, roadmap development, and metrics-driven decision-making.
  • Experience translating complex customer problems into intuitive product experiences, clear requirements, and measurable outcomes.
  • Ability to partner closely with engineering, design, clinical, content, analytics, commercial, and customer-facing teams.
  • Strong communication, analytical thinking, stakeholder-management, and influencing skills.
  • Curiosity and learning agility around AI, automation, emerging technologies, and responsible product development.
  • Ability to operate in ambiguity and make sound product decisions in complex, regulated healthcare environments.

Skills

  • AI-enabled, data-driven, search, content, knowledge, or decision-support products.
  • Generative AI, retrieval-based systems, recommendation systems, workflow automation, or applied machine learning concepts.
  • Clinical decision support, healthcare content, point-of-care tools, or professional-information products.
  • Human-in-the-loop workflows, responsible AI practices, model evaluation, or trust and safety considerations.

Location

  • Onsite at a Wolters Kluwer office

Work Type

  • Onsite

Experience Level

  • 5+ years of product management experience

Salary/Compensations

  • $118,300.00 - $207,400.00 USD

Benefits

  • Medical, Dental, & Vision Plans
  • 401(k)
  • FSA/HSA
  • Commuter Benefits
  • Tuition Assistance Plan
  • Vacation and Sick Time
  • Paid Parental Leave

About the Company

  • At Wolters Kluwer Health, the UpToDate suite supports millions of clinical decisions every day.
  • As AI changes how clinicians search for, interpret, and apply clinical knowledge, we are building product experiences that make trusted guidance easier to access, understand, and use.

Equal Opportunity

  • To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts.
  • Our interview process is designed to assess your individual skills, experiences, and communication style.
  • We value authenticity and want to ensure we’re getting to know you—not a digital assistant.
  • To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process.
  • Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process.