Lead Product Manager- AI

Wolters Kluwer•Coppell, TX

21h•$107,500 - $188,400

About The Position

Wolters Kluwer is building the next generation of CCH Axcess Audit, a connected, cloud-based solution supporting professional audit workflows. The Lead Product Manager will own an agentic audit product area, transforming complex audit work into trusted AI-enabled experiences that reduce manual effort while preserving auditor judgment and decision-making. The role owns product vision, strategy, roadmap, investment priorities, and measurable customer and business outcomes. It synthesizes customer insights, workflow observations, market opportunities, product telemetry, and business objectives into product direction and commercialization strategies. The position spans customer discovery, workflow design, prototyping, experimentation, prioritization, launch, adoption, and optimization. The Product Manager works closely with Engineering, UX Design, Audit Domain Experts, Data Science, Product Marketing, go-to-market teams, and customers. The role defines agent workflows and evaluation approaches, incorporates responsible AI practices and human-in-the-loop controls, and is accountable for adoption, value realization, commercial success, and business impact. Travel may be required up to 25%.

Requirements

Bachelor’s degree from an accredited university, or equivalent experience.
At least 8 years of product management, product strategy, product leadership, or founder experience in enterprise software environments.
Experience launching and scaling B2B SaaS products from concept through market adoption.
Experience operating in highly autonomous, cross-functional teams.
Strong AI product sense and demonstrated ability to identify and deliver meaningful customer and business value.
Hands-on experience with AI-enabled tools such as Claude Code, Cursor, GitHub Copilot, or similar platforms.
Working knowledge of LLMs, RAG, context management, evaluation methodologies, human-in-the-loop design, and responsible AI principles.
Ability to diagnose AI-agent behavior and distinguish among prompt-, context-, tool-, evaluation-, and model-related failures.
Expertise in customer discovery, voice of the customer, journey mapping, design thinking, and needs validation.
Strong understanding of APIs, platform architecture, integrations, ecosystem strategies, and data services.
Commercial acumen, including pricing, monetization, product economics, revenue optimization, and growth strategy.
Exceptional systems thinking, communication, storytelling, influence, and executive stakeholder management skills.
Ability to lead through ambiguity, align stakeholders, and deliver measurable business outcomes.
Commitment to fostering innovation, accountability, experimentation, and continuous learning.

Nice To Haves

Computer Science or Software Engineering degree.
Experience in Audit, Tax & Accounting, Financial Services, Legal, Healthcare, or another regulated industry.
Experience in an early-stage or fast-scaling startup.

Responsibilities

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.
Evaluate customer needs, market opportunities, platform capabilities, and AI use cases to determine product strategy.
Prioritize investments based on customer value, business impact, technical feasibility, and strategic alignment.
Define outcome-based product requirements with clear success metrics and evaluation criteria.
Lead customer discovery through interviews, workflow observation, user research, advisory councils, journey mapping, and analytics.
Understand auditor jobs-to-be-done, pain points, workflows, and decision criteria.
Validate customer problems, concepts, prototypes, MVPs, pricing approaches, and value propositions through experimentation and customer feedback.
Use customer insights, product telemetry, and evaluation results to guide roadmap decisions and validated learning.
Develop high-fidelity AI prototypes and evaluate solution concepts before significant engineering investment.
Translate 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.
Use AI throughout discovery, analysis, prototyping, requirements definition, and product optimization.
Partner with Engineering and Data Science to develop evaluation frameworks for accuracy, reliability, workflow completion, user trust, and hallucination risk.
Design transparent fallback mechanisms, escalation paths, and human-in-the-loop controls.
Balance quality, latency, inference costs, scalability, compliance, and commercial viability in product decisions.
Ensure AI capabilities align with responsible AI principles, governance requirements, and customer expectations.
Act as business owner for the product area, accountable for adoption, value realization, commercial success, and measurable outcomes.
Lead alpha and beta programs to validate product-market fit and improve launch readiness.
Partner with Product Marketing and go-to-market teams on positioning, messaging, pricing, packaging, launch planning, and adoption strategies.
Monitor and optimize product adoption, workflow completion, retention, expansion, and business impact.
Lead alignment across Product, Engineering, UX, Audit Domain Experts, Data Science, Marketing, Sales, Customer Success, and Platform teams.
Facilitate tradeoff decisions that balance customer outcomes, business priorities, technical complexity, risk, and speed.
Enable timely, data-informed decisions and delivery of customer and business outcomes.
Champion modern product management practices, AI-enabled workflows, experimentation, and outcome-based decision-making.
Influence stakeholders, build organizational alignment, and mentor peers across the product organization.
Perform other duties as assigned by supervisor.