Lead Product Manager - AI Solutions

About the Role

This is a hands-on, individual contributor position that drives the definition and execution of AI-first and AI-enabled product capabilities within a defined product area. The Lead Product Manager owns the end-to-end lifecycle for features and capabilities, partnering closely with engineering, UX, tax research, security & governance, and go-to-market teams to translate customer needs, market insights, and technical possibilities into clear product requirements and delivered outcomes. The role contributes meaningfully to AI product strategy and roadmap execution by ensuring AI capabilities are customer-ready, continuously improving, and delivering measurable business impact.

Responsibilities

• Define clear product requirements for AI-powered capabilities and AI-enabled integrations, with explicit expectations for evaluation criteria and feedback mechanisms built into the roadmap.
• Partner closely with engineering teams on model evaluation, experimentation, and tuning to identify opportunities for iterative improvements and assess release readiness.
• Drive the continuous evolution of AI features by identifying gaps through customer feedback, usage metrics, AI performance signals, and translating those insights into sequenced roadmap investments and delivery milestones.
• Curate and maintain a capability-level AI roadmap for assigned AI features and core capabilities, prioritizing incremental improvements that drive quality, trust, and customer value.
• Metrics-driven product delivery, including defining success metrics, assessing outcomes, and using findings to guide iteration.
• Apply responsible AI principles, including traceability, privacy, security, bias awareness, transparency, and auditability within owned capabilities.
• Communicate clearly and structure priorities, trade-offs, risks, and progress to cross-functional stakeholders.
• Demonstrate hands-on AI fluency by experimenting directly using AI tools for faster product prototyping, understanding modern AI system behaviors, and influencing product decisions and user experience evolution.
• Create or curate representative mock or synthetic datasets to support experimentation, evaluation, and validation.

Requirements

• Minimum of 3 years of hands-on AI product experience commercially launching AI-driven and data-intensive product capabilities.
• AI fluency: practical, hands-on experience operating directly in the AI product development lifecycle.

Preferred Qualifications

• Bachelor’s degree in business, engineering, or a related field. Equivalent combination of education, training, and relevant professional experience accepted in lieu of a formal degree.
• Experience mentoring or coaching junior product owners on AI fluency and product development practices.

Company Values

• Play to Win or We Don't Play: If we choose to do something, we're choosing to do it because we plan to win. That mindset raises our bar on product quality, customer outcomes, and how we show up for one another.
• Work As a Team, Putting the Customer At the Core: Our customers are our true north. Whatever your role, ask: how will this help a customer succeed today? We earn trust through outcomes, not promises.
• Achieve Excellence With Integrity, Speed, and Agility: The market isn't slowing down. We'll move faster, adapt quickly, and never compromise on doing things the right way—for teammates, customers, and partners.
• Innovate Boldly With a Growth Mindset: Progress demands smart risk. We'll try new approaches, learn fast, and keep pushing the boundaries—especially where AI can remove friction and unlock value.
• Communicate with Care, Candor and Transparency: Honest, constructive conversations make us better. Let's speak plainly about what's working and what isn't and help each other improve.

Pay

US Base Salary Range: $157,900.00 - $205,400.00. Base pay offered to new hires may vary based on factors including relevant industry and job-related skills and experience, geographic location, and business needs. The range displayed does not encompass the full potential of the role, which allows for further growth and career progression. In addition, as part of our total compensation package, this role may be eligible for the Vertex Bonus Plan (VOB), a role-specific sales commission/bonus, and/or equity grants. In no case will your pay fall below applicable local minimum wage requirements.