Lead Technical Product Manager, Growth – UpToDate Expert AI

Lead Technical Product Manager – UpToDate Growth 

Locations: Hybrid from on of our US based offices 

At Wolters Kluwer, we combine deep clinical expertise with responsible AI to build products that improve care—and driving awareness, adoption, and sustained usage is what unlocks their full impact. 

We’re hiring a Lead Technical Product Manager to accelerate growth for our suite of UpToDate Expert AI products. This role spans the full clinician journey—from initial awareness and acquisition through activation and ongoing engagement—and focuses on expanding how and where clinicians discover and adopt our AI-enabled solutions. 

You will operate at the intersection of product, marketing, clinical, commercial, and partnerships—identifying new pathways to reach users, improving how they get started, and ensuring early experiences translate into meaningful, repeat usage. This is a highly cross-functional role for a product leader who combines strong analytical rigor with creativity in unlocking growth opportunities. 

Key Responsibilities 

Growth Strategy & Expansion 

· Define and drive a comprehensive growth strategy for UpToDate Expert AI, spanning awareness, acquisition, activation, and early engagement. 

· Own growth OKRs across the end-to-end funnel, identifying the highest-impact levers to increase adoption. 

· Identify and develop new pathways to reach clinicians. 

Acquisition & Activation Optimization 

· Improve how clinicians discover, access, and begin using AI-enabled products across channels (web, mobile, enterprise, EHR). 

· Partner across marketing, sales, and customer success to streamline acquisition flows and reduce friction from first touch through activation. 

· Shape onboarding and early user experiences to ensure rapid time-to-value and strong initial engagement. 

· Use targeted experimentation to refine key moments in the user journey, focusing on measurable improvements in conversion and activation. 

Cross-Functional Growth Leadership 

· Lead initiatives that span multiple teams and functions, bringing together cross-functional teams to achieve shared growth goals. 

· Step beyond traditional product boundaries when needed to unblock growth opportunities and drive outcomes. 

· Align stakeholders around clear priorities, tradeoffs, and success metrics. 

· Support go-to-market efforts, including messaging, positioning, and launch strategy for new AI capabilities. 

Data, Insights & Experimentation 

· Define and evolve measurement frameworks across the funnel, including 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 the rigor required for clinical, privacy, and regulatory environments. 

User Insight & Market Understanding 

· 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. 

Performance & Continuous Improvement 

· Monitor growth performance and communicate insights, risks, and opportunities to senior leadership. 

· Continuously refine strategies based on data, experimentation, and market feedback. 

· Help build scalable approaches to growth that can be leveraged across multiple products and segments. 

Qualifications 

Required 

· 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 (e.g., marketing, sales, partnerships, product) to deliver outcomes. 

· Strong analytical skills, with 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. 

Preferred 

· 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.