# Lead Product Manager- AI at Wolters Kluwer

Wolters Kluwer is hiring a Lead Product Manager- AI. It pays $108k-$188k a year and Level rates it Works on AI ●●●○; you can [apply on Wolters Kluwer](https://jobsbylevel.com/go/874ac313-98c2-4e17-8f1d-e279ef3fdf8a?utm_medium=ai-agent).

AI Level 3, AI centrality 75 out of 100. USA - Coppell, TX.

## Details

- Company: [Wolters Kluwer](https://jobsbylevel.com/companies/wolters-kluwer)
- AI level: AI Level 3 (score 75 out of 100)
- Location: USA - Coppell, TX
- Salary: $108k-$188k
- Posted: November 10, 2026
- Apply: https://jobsbylevel.com/go/874ac313-98c2-4e17-8f1d-e279ef3fdf8a?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=lead-product-manager-ai-at-wolters-kluwer-c5e23f

## Prepare for this job

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## Description

Basic Function We are building the next generation of CCH Axcess Audit, a connected, cloud-based solution supporting professional audit workflows. We are seeking a high-agency product manager who operates at the intersection of product strategy, audit workflow, customer needs, and AI capability. This is not a traditional product management role focused on requirements management. You will transform complex audit work into trusted, agentic AI-enabled experiences that reduce manual effort while preserving auditor judgment and decision-making. As the Product Manager for an agentic audit product area, you will identify the highest-value customer problems, define product strategy and investment priorities, and drive measurable customer and business outcomes. You will synthesize customer insights, workflow observations, market opportunities, product telemetry, and business objectives into clear product direction, roadmap decisions, and commercialization strategies. You are a systems thinker who understands how audit workflows, AI agents, data, platform capabilities, user experience, and commercial outcomes interact to create customer value. You thrive in ambiguity, create clarity across disciplines, and help teams move quickly from insight to impact. This is a hands-on role requiring expertise across customer discovery, strategy, workflow design, prototyping, experimentation, prioritization, commercialization, and optimization. Working closely with Engineering, UX Design, Audit Domain Experts, Product Marketing, and customers, you will own the product journey from opportunity identification through launch, adoption, and measurable business impact. Essential Duties and responsibilities Product Strategy & Ownership Own the vision, roadmap, priorities, and measurable outcomes for an agentic audit product area. Define and manage product OKRs and KPIs aligned to adoption, retention, customer satisfaction, revenue growth, and value realization. Develop problem statements, business cases, product hypotheses, and investment recommendations. Identify where to play and how to win by evaluating customer needs, market opportunities, platform capabilities, and AI use cases. Prioritize investments using customer value, business impact, technical feasibility, and strategic alignment. Define outcome-based product requirements with clear success metrics and evaluation criteria. Customer Discovery & Validation Lead ongoing customer discovery through interviews, workflow observation, user research, advisory councils, journey mapping, and analytics. Develop deep understanding of auditor jobs-to-be-done, pain points, workflows, and decision criteria. Validate customer problems, solution concepts, prototypes, MVPs, pricing approaches, and value propositions through experimentation and rapid customer feedback. Build continuous feedback loops using customer insights, product telemetry, and evaluation results to drive roadmap decisions and accelerate validated learning. AI Product Definition & Workflow Design Develop high-fidelity AI prototypes and evaluate multiple solution concepts before significant engineering investment. Translate complex audit work into agent workflows, tool interactions, human review points, decision frameworks, and product specifications. Partner with audit experts to capture domain expertise, professional judgment, edge cases, and quality expectations. Connect workflows, audit methodology, data, UX, AI models, and platform capabilities into cohesive product experiences. Leverage AI throughout discovery, analysis, prototyping, requirements definition, and product optimization. Responsible AI & Evaluation Partner with Engineering and Data Science to develop evaluation frameworks measuring accuracy, reliability, workflow completion, user trust, and hallucination risk. Design transparent fallback mechanisms, escalation paths, and human-in-the-loop controls for AI-assisted workflows. Balance quality, latency, inference costs,

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