Lead Product Manager; AI Audit Solutions

POSITION TITLE:

Lead Product Manager (AI Audit Solutions) LOCATON:
Hybrid role (Coppell/Dallas TX area preferred; Houston TX; or Austin TX) COMPENSATION: $107,000–$185,000 base (+ performance-based bonus and benefits)

Korn Ferry has partnered with our client, a global leader providing critical AI-powered workflow platforms and expert-curated databases, in their professional search for this Associate Director role. Their services (which include professional information solutions, software and services) have international reach across the healthcare, tax / accounting, financial and corporate compliance, legal / regulatory, and corporate performance and ESG sectors.

The Lead Product Manager will own and scale AI-enabled audit and tax products within a rapidly evolving product organization. This is a builder-oriented role focused on creating and commercializing new products—not maintaining legacy systems.

This individual will operate as the product leader within a small, embedded cross-functional pod consisting of Product, Engineering, UX, and audit/tax domain experts. The ideal candidate thrives in ambiguity, moves quickly from strategy to execution, and brings strong commercial instincts to launch AI-driven B2B SaaS solutions that customers adopt and value.

• Define and drive product vision, strategy, and roadmap for AI-enabled audit and tax solutions.
• Lead new product development from concept through launch and scale.
• Establish clear success metrics tied to customer adoption, revenue, retention, and business outcomes.
• Make high-impact tradeoffs across speed, quality, customer value, and long-term product strategy.
• Lead end-to-end product launches, including positioning, pricing, packaging, and adoption strategy.
• Partner closely with Sales, Marketing, and Customer Success to drive revenue and market traction.
• Support sales readiness through enablement materials, product demos, and client-facing engagements.
• Serve as a product evangelist in customer conversations, webinars, conferences, and executive briefings.

• Translate strategy into actionable requirements, product specifications, and measurable outcomes.
• Work daily with Engineering and UX in an integrated pod model to deliver high-quality solutions.
• Drive alignment across Product, Design, Engineering, domain experts, and commercial stakeholders.
• Operate effectively in a fast-paced environment with multiple concurrent priorities and evolving requirements.

• Engage directly with customers to understand audit/tax workflows, pain points, and unmet needs.
• Use data, research, customer feedback, and product analytics to validate hypotheses and guide decisions.
• Continuously iterate based on real-world usage, adoption metrics, customer outcomes, and market feedback.

• Identify opportunities to leverage AI, including LLMs and agentic workflows, to improve audit and tax workflows.
• Partner with Engineering to design responsible, explainable, and commercially meaningful AI capabilities.
• Translate emerging AI trends into practical product innovations that improve customer productivity, quality, and confidence.
• Balance innovation with governance, human oversight, auditability, and customer trust.
• Function as the product leader within a small, embedded product pod consisting of one Product Manager, one expert practitioner, Engineering, and UX.
• Ensure tight collaboration and shared accountability across pod members.
• Avoid siloed execution by driving fully integrated strategy, delivery, launch, and customer feedback loops.

• 8+ years of Product Management experience or equivalent builder experience, such as a startup founder background.
• Proven track record launching and commercializing B2B products.
• Strong fundamentals in product strategy, execution, customer discovery, and go-to-market.
• Experience partnering closely with Engineering and UX teams in agile or pod-based environments.
• Comfort operating in ambiguity and fast-paced, startup-like environments.
• Strong business acumen, ownership mindset, and ability to make commercially sound product decisions.
• Customer-facing confidence with strong written, verbal, and executive communication skills.
• PREFERRED:
  Experience in AI-first, data-driven, or automation-heavy product environments; familiarity with AI/ML technologies, including LLM capabilities, limitations, and responsible AI considerations. Experience in B2B SaaS, especially in startup, scale-up, or high-growth product organizations.