Lead Technology Product Manager, AI Quality & Evaluation
Wolters Kluwer · Austin, TX, US
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About the Role
Build product capabilities to ensure AI-enabled healthcare experiences are useful, trusted, and responsibly deployed. Translate clinical quality standards and evaluation strategy into scalable product capabilities, defining requirements, workflows, tooling, automation, and reporting for AI evaluation.
Responsibilities
- Translate expert-defined quality standards and evaluation methods into product requirements, workflows, and roadmap priorities.
- Drive discovery and delivery for defined AI quality and evaluation capabilities, including tooling, automation, monitoring, evidence capture, and reporting.
- Partner with clinical, data science, engineering, product, legal, compliance, and customer-facing teams to operationalize AI evaluation before and after launch.
- Identify opportunities to automate and scale evaluation workflows while preserving appropriate expert oversight.
- Define product requirements for review workflows, issue triage, launch readiness, post-launch monitoring, and quality reporting.
- Use evaluation insights to inform product improvements, user experience, content quality, model behavior, and operational processes.
- Track emerging market practices and customer expectations related to AI quality, evaluation, benchmarking, and responsible AI.
- Translate AI quality and evaluation practices into clear narratives for product leaders, customer-facing teams, and internal stakeholders.
Requirements
- 5+ years of product management experience in healthcare, enterprise SaaS, data-driven products, platform products, quality, or related areas.
- Strong product discovery and execution skills, including requirements definition, roadmap planning, experimentation, and metrics-driven decision-making.
- Ability to translate complex clinical, technical, quality, or risk concepts into practical product requirements and workflows.
- Experience working with engineering, data, clinical, compliance, customer-facing, or operational stakeholders.
- Strong analytical thinking and comfort defining metrics, dashboards, workflows, and decision criteria.
- Strong communication skills, especially around quality, trust, tradeoffs, evidence, and customer value.
- Curiosity and learning agility around AI, evaluation methods, responsible AI, and emerging technologies.
- Experience with AI-enabled products, healthcare technology, quality tooling, data products, search/retrieval quality, content quality, clinical validation, or decision-support products.
- Familiarity with AI evaluation methods, benchmarks, monitoring, human-in-the-loop review, automation, or applied machine learning concepts.
- Experience in healthcare, clinical workflows, regulated environments, or professional-information products.
- Experience supporting customer-facing narratives around product quality, trust, or responsible technology.
Skills
- Product Management
- Healthcare
- Enterprise SaaS
- Data-driven products
- Platform products
- Quality
- Product Discovery
- Execution
- Requirements Definition
- Roadmap Planning
- Experimentation
- Metrics-driven decision-making
- Analytical Thinking
- Metrics Definition
- Dashboard Definition
- Workflow Definition
- Decision Criteria Definition
- Communication Skills
- AI
- Evaluation Methods
- Responsible AI
- Emerging Technologies
- AI-enabled products
- Healthcare Technology
- Quality Tooling
- Data Products
- Search/Retrieval Quality
- Content Quality
- Clinical Validation
- Decision-support products
- AI Evaluation Methods
- Benchmarks
- Monitoring
- Human-in-the-loop review
- Automation
- Applied Machine Learning Concepts
- Clinical Workflows
- Regulated Environments
- Professional-information products
- Customer-facing narratives
Location
- Hybrid
Work Type
- Hybrid
- Full-time
Experience Level
- Senior
Salary/Compensations
- $118,300.00 - $207,400.00 USD
- Eligible for Bonus
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.
- Wolters Kluwer offers a wide variety of competitive benefits and programs to help meet your needs and balance your work and personal life.
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.
- Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.