Senior AI Quality & Evaluation Product Manager

Wolters Kluwer

United States

Hybrid

USD 108,000 - 188,000

Full time

3 days ago
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Job summary

Wolters Kluwer Health is seeking a Senior Product Manager, AI Quality & Evaluation, to translate clinical quality standards into scalable product capabilities. You will work with clinical, data, engineering, and policy teams to operationalize AI evaluation before and after launch, driving automation and evidence-driven improvements across UpToDate.

This role emphasizes responsible AI and measurable signals to support product decisions.

Qualifications

  • 5+ years of product management in healthcare or enterprise SaaS.
  • Strong discovery and execution skills with requirements and roadmaps.
  • Ability to translate clinical/quality concepts into practical requirements.
  • Experience collaborating with engineering, data, clinical, compliance, and customers.
  • Analytical mindset with metrics, dashboards, and decision criteria.

Responsibilities

  • Translate quality standards into product requirements and roadmaps.
  • Drive discovery and delivery for AI quality capabilities including tooling and monitoring.
  • Partner with cross-functional teams to operationalize AI evaluation.
  • Identify opportunities to automate evaluation workflows while maintaining expert oversight.
  • Define review workflows, launch readiness, and post-launch monitoring.
  • Use evaluation insights to improve product quality and trust.
  • Track market practices related to AI quality and responsible AI.
  • Translate AI quality practices into narratives for leaders and stakeholders.

Skills

Product management
Healthcare SaaS
Roadmap planning
Requirements definition
Metrics-driven decisions
Cross-functional collaboration

Job description

Wolters Kluwer Health is seeking a Senior Product Manager, AI Quality & Evaluation, to translate clinical quality standards into scalable product capabilities. You will work with clinical, data, engineering, and policy teams to operationalize AI evaluation before and after launch, driving automation and evidence-driven improvements across UpToDate.

This role emphasizes responsible AI and measurable signals to support product decisions.

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