Lead Technology Product Manager - Mobile Applications

Wolters Kluwer•Glendale, CA

About The Position

Clinicians rely on fast, intuitive, and trusted mobile experiences at the point of care. At Wolters Kluwer, our AI-centric mobile applications combine deep medical expertise with responsible AI to deliver evidence-based answers in seconds. We’re hiring a Lead Product Manager to lead the next stage of innovation and engagement across our mobile portfolio, ensuring our apps remain indispensable in real-world care. We’re hiring a Lead Product Manager to lead strategy and execution for our mobile clinical application portfolio. This role will drive engagement, retention, and workflow integration across iOS and Android experiences, ensuring our products are indispensable to clinicians in real-world care settings. We’re looking for a strategic product manager who understands what makes apps sticky, habit-forming, and valuable over time. Experience in healthcare and/or AI-enabled products is a strong plus.

Requirements

7-10 years of product management experience with significant ownership of mobile applications (iOS and/or Android).
Proven success improving engagement, retention, and feature adoption in high-usage apps.
Experience leading products in complex, regulated, or enterprise environments.
Strong background in user discovery, product analytics, and hypothesis-driven development.
Demonstrated ability to partner closely with engineering and design to ship high-quality mobile experiences.
Excellent communication skills with clinicians, executives, and technical teams.
Ability to bring clarity to ambiguity and drive alignment across cross-functional stakeholders.

Nice To Haves

Experience in healthcare technology, clinical decision support, or provider-facing products.
Familiarity with clinical workflows and point-of-care environments.
Experience embedding AI/ML features into customer-facing applications.
Understanding of HIPAA, SOC 2, HITRUST, or healthcare regulatory environments.
Experience working in B2B2C or enterprise SaaS environments with strong end-user engagement focus.

Responsibilities

Shape and influence the vision and roadmap for our AI-first mobile applications, aligning with company OKRs and driving measurable engagement and retention outcomes.
Define and drive mobile-specific OKRs across activation, session frequency, feature adoption, and long-term retention.
Identify opportunities to deepen daily clinical usage and expand mobile’s role in provider workflows.
Balance innovation with reliability, performance, and regulatory requirements.
Engage directly with clinicians and customers to understand mobile usage in real-world clinical environments (hospital, outpatient, urgent care).
Translate workflow insights into actionable product direction and clear requirements.
Identify friction points in point-of-care decision-making that mobile can uniquely solve.
Partner with health systems and EHR vendors to understand mobile integration pathways.
Lead end-to-end feature development across iOS and Android, from concept through launch and iteration.
Partner with engineering and design to deliver performant, intuitive, consumer-grade mobile experiences.
Drive onboarding, feature discovery, and habit-building mechanisms that increase stickiness.
Leverage experimentation (A/B testing), product analytics, and behavioral insights to optimize engagement.
Improve app store ratings, performance metrics, and user feedback loops.
Partner with clinical and AI engineering teams to bring impactful AI experiences to our mobile apps while ensuring responsible, explainable use of AI.
Define evaluation, safety, and monitoring needs for AI-enabled mobile features.
Align engineering, design, clinical, analytics, marketing, and commercial stakeholders around clear priorities.
Build strong feedback loops between customers, customer success, and product.
Support go-to-market efforts with positioning, messaging, and launch planning for new mobile capabilities.
Communicate roadmap progress and performance insights to senior leadership.
Define and monitor core mobile metrics across engagement, reliability, performance, and clinical impact.
Use usage data and qualitative feedback to prioritize improvements and scaling decisions.
Drive a culture of continuous iteration grounded in data and customer insight.