Lead Technical Product Manager, Growth – UpToDate Expert AI

Wolters Kluwer•Coppell, MA

11d•Hybrid

About The Position

Wolters Kluwer is hiring a Lead Technical Product Manager to accelerate growth for its suite of UpToDate Expert AI products. The role spans the clinician journey from awareness and acquisition through activation and ongoing engagement, with a focus on expanding how and where clinicians discover and adopt AI-enabled solutions. The position works across product, marketing, clinical, commercial, and partnerships to identify new ways to reach users, improve onboarding, and encourage meaningful repeat usage. The product leader will own growth strategy and outcomes across the funnel, using measurement, experimentation, cohort analysis, and user insights to identify and prioritize opportunities. The role involves leading cross-functional initiatives, supporting go-to-market activities, aligning stakeholders on priorities and metrics, and communicating performance, risks, and opportunities to senior leadership. Growth approaches should account for clinical, privacy, and regulatory environments and be scalable across products and segments.

Requirements

7–10 years of product management experience, with exposure to growth, acquisition, or user engagement initiatives.
Demonstrated success driving measurable improvements in user adoption, activation, or early lifecycle engagement.
Experience working across multiple functions, such as marketing, sales, partnerships, and product, to deliver outcomes.
Strong analytical skills and experience using data to inform decisions and prioritize work.
Technical fluency and ability to partner effectively with engineering and data teams.
Experience operating in complex or enterprise environments.
Excellent communication skills across technical, business, and executive audiences.
Ability to navigate ambiguity and drive alignment across diverse stakeholders.

Nice To Haves

Experience in healthcare technology, clinical decision support, or provider-facing products.
Familiarity with clinician workflows and barriers to technology adoption.
Experience with AI/ML-powered products, including LLM-based features.
Understanding of HIPAA, SOC 2, HITRUST, or similar regulatory environments.

Responsibilities

Define and drive a growth strategy for UpToDate Expert AI across awareness, acquisition, activation, and early engagement.
Own growth OKRs across the end-to-end funnel and identify high-impact adoption levers.
Identify and develop new pathways to reach clinicians.
Improve how clinicians discover, access, and begin using AI-enabled products across web, mobile, enterprise, and EHR channels.
Partner with marketing, sales, and customer success to streamline acquisition flows and reduce friction through activation.
Shape onboarding and early user experiences to support rapid time-to-value and initial engagement.
Use targeted experimentation to improve conversion and activation at key points in the user journey.
Lead cross-functional initiatives and bring teams together to achieve shared growth goals.
Unblock growth opportunities beyond traditional product boundaries and align stakeholders on priorities, tradeoffs, and success metrics.
Support go-to-market efforts, including messaging, positioning, and launch strategy for new AI capabilities.
Define and evolve measurement frameworks across awareness, acquisition, activation, and early retention.
Ensure strong instrumentation and visibility into user behavior across channels and products.
Use experimentation, cohort analysis, and user insights to inform decisions and prioritize initiatives.
Balance rapid iteration with clinical, privacy, and regulatory rigor.
Develop a deep understanding of clinician behavior, motivations, and barriers to adopting AI-enabled tools.
Identify unmet needs and opportunities to better connect users with relevant product value.
Incorporate qualitative and quantitative insights into growth strategies and product decisions.
Monitor growth performance and communicate insights, risks, and opportunities to senior leadership.
Refine strategies based on data, experimentation, and market feedback.
Help build scalable growth approaches that can be leveraged across products and segments.