Principal Product Manager – AI Solutions

Vertex•King of Prussia, PA

22h

About The Position

This Principal Product Manager – AI Solutions role is a hands-on, individual contributor position that creates and delivers AI-first product capabilities for Vertex customers by translating ambiguous problems into clear hypotheses, product requirements, and roadmap priorities. The role partners closely with tax domain subject matter experts (SMEs), engineering, UX, go-to-market, and customer success to ship production-ready AI that is trusted and compliant, integrates into workflows, and demonstrates value through evaluation, monitoring, and performance metrics. This role is not a tax SME; it is an innovation and product leadership role that identifies opportunities, prototypes solutions, and scales what works.

Requirements

Minimum of six (6) years of relevant product management experience.
2+ years of direct AI experience (e.g., system design and/or development).
Experience to define AI product requirements beyond feature scope, encompassing data strategy, learning signals, feedback loops, and measurable success criteria.
Strong command of AI product quality and reliability, including how drift, regressions, and performance tradeoffs affect user trust and adoption.
Excellent product leadership fundamentals, including systems-level thinking, executive communication, and the ability to lead through influence in complex, matrixed organizations.
AI fluency (required): able to prototype, evaluate, and operationalize AI-first capabilities in partnership with engineering and SMEs.
Communicate with Clarity - Be clear, concise and actionable. Be relentlessly constructive. Seek and provide meaningful feedback.
Act with Urgency - Adopt an agile mentality - frequent iterations, improved speed, resilience. 80/20 rule – better is the enemy of done. Don’t spend hours when minutes are enough.
Work with Purpose - Exhibit a “We Can” mindset. Results outweigh effort. Everyone understands how their role contributes. Set aside personal objectives for team results.
Drive to Decision - Cut the swirl with defined deadlines and decision points. Be clear on individual accountability and decision authority. Guided by a commitment to and accountability for customer outcomes.
Own the Outcome - Defined milestones, commitments and intended results. Assess your work in context, if you’re unsure, ask. Demonstrate unwavering support for decisions.

Nice To Haves

Bachelor’s degree in engineering, business, or a related field, or equivalent combination of education, training, and relevant professional experience.

Responsibilities

Own multi-quarter roadmaps, aligning cross-org stakeholders, and leading complex, cross-functional initiatives from ambiguous problem definition through 0→1 discovery, launch, rapid iteration, and scaled releases with measurable customer and business outcomes.
Define AI product requirements beyond feature scope, encompassing data strategy, learning signals, feedback loops, and measurable success criteria.
Set and own standards for AI product effectiveness, including success metrics, monitoring, and continuous improvement across quality, reliability, usage, cost, and performance.
Prototype, evaluate, and operationalize AI-first capabilities in partnership with engineering and SMEs.
Define features and capabilities by creating lightweight prototypes; translate AI capabilities and constraints into clear product requirements.
Lead evaluation, tuning, and training in partnership with engineering and SMEs, including defining evaluation criteria and interpreting results.
Refine requirements, UX behaviors, acceptance criteria, and release readiness decisions by connecting evolving AI capabilities to customer problems.
Apply responsible AI principles (traceability, privacy, security, bias awareness, transparency, auditability) within owned features and capabilities.
Maintain working fluency in modern AI/ML concepts (LLM-based solutions, agents, data pipelines) and use that fluency to experiment directly for faster product discovery and prototyping.
Identify cross-product innovation opportunities and drive roadmap alignment through APIs, integrations, and shared platform capabilities.
Mentor or coach junior product owners on AI fluency and product development practices.