Lead Product Manager- AI

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, scalability, compliance, and commercial viability when making product decisions.
• •Ensure AI capabilities align with responsible AI principles, governance requirements, and customer expectations.

Commercialization & Business Impact

• •Serve as the business owner for the product area, accountable for adoption, value realization, commercial success, and measurable business outcomes.
• •Lead alpha and beta programs to validate product-market fit and improve launch readiness.
• •Partner with Product Marketing and GTM teams on positioning, messaging, pricing, packaging, launch planning, and adoption strategies.
• •Monitor product performance and optimize customer adoption, workflow completion, retention, expansion, and business impact.

Cross-Functional Leadership

• •Lead alignment across Product, Engineering, UX, Audit Domain Experts, Data Science, Marketing, Sales, Customer Success, and Platform teams.
• •Facilitate tradeoff decisions balancing customer outcomes, business priorities, technical complexity, risk, and speed.
• •Enable teams to make timely, data-informed decisions and consistently deliver meaningful 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.

Other Duties

Performs other duties as assigned by supervisor.

Job Qualifications

Education: Bachelor’s degree from an accredited university, or equivalent experience

Computer Science or Software Engineering Degree preferred

Experience:

Required

• •8+ years of product management, product strategy, product leadership, or founder experience in enterprise software environments, ideally within an early-stage or fast-scaling startup.
• •Experience launching and scaling B2B SaaS products from concept through market adoption.
• •Experience operating in highly autonomous, cross-functional teams.
• •Domain experience in Audit, Tax & Accounting, Financial Services, Legal, Healthcare, or other regulated industries preferred.

Other Knowledge, Skills, Abilities or Certifications:

• •Strong AI Product Sense with a 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 between prompt, context, tool, evaluation, and model-related failures.
• •Expertise in customer discovery, VOC, journey mapping, design thinking, and needs validation.
• •Strong understanding of APIs, platform architecture, integrations, ecosystem strategies, and data services.
• •Demonstrated commercial acumen, including pricing, monetization, product economics, revenue optimization, and growth strategy.
• •Exceptional systems thinking, communication, storytelling, influence, and executive stakeholder management skills.
• •Proven ability to lead through ambiguity, align stakeholders, and deliver measurable business outcomes.
• •Commitment to fostering innovation, accountability, experimentation, and continuous learning.

Travel requirements

Up to 25%

Physical Demands

Normal office environment.

Our Interview Practices

To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we’re getting to know you—not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or