Lead Technical Product Manager, Growth - UpToDate Expert AI

wk; United States; Hybrid; USD 150.000 - 230.000; Vollzeit

Zusammenfassung

Wolters Kluwer is hiring a Lead Technical Product Manager to accelerate growth for UpToDate Expert AI products. You will drive expansion across clinician journeys, from awareness to activation and ongoing engagement.

You will collaborate with marketing, clinical, commercial, and partnerships teams to improve onboarding, increase adoption, and translate early experiences into repeat usage, while navigating regulatory and privacy considerations in healthcare technology.

Qualifikationen

• 7-10 years of product management experience with growth or user engagement focus.
• Proven track record of improving adoption, activation, or early lifecycle engagement.
• Experience working across marketing, sales, partnerships, and product to drive outcomes.
• Excellent communication across technical, business, and executive audiences.

Aufgaben

• Define and drive a comprehensive growth strategy for UpToDate Expert AI across awareness, acquisition, activation, and early engagement.
• Own growth OKRs across the end-to-end funnel to increase adoption.
• Identify and develop new pathways to reach clinicians across channels (web, mobile, enterprise, EHR).
• Lead cross-functional initiatives spanning multiple teams to achieve growth goals.
• Shape onboarding and early user experiences to shorten time-to-value.
• Use targeted experimentation to improve conversion and activation metrics.

Kenntnisse

Growth strategy

Cross-functional leadership

Data instrumentation

Experimentation

User insights

Stakeholder alignment

Technical fluency

Communication

Jobbeschreibung

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.
• O wn 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.

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