Principal Product Manager - AI Solutions

About the role

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.

Responsibilities

• Owning 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.
• Direct AI experience (e.g., system design and/or development).
• 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.
• Set and own standards for AI product effectiveness, including success metrics, monitoring, and continuous improvement across quality, reliability, usage, cost, and performance.
• Able to prototype, evaluate, and operationalize AI-first capabilities in partnership with engineering and SMEs.
• Create 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.

Requirements

• A 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.
• Set and own standards for AI product effectiveness, including success metrics, monitoring, and continuous improvement across quality, reliability, usage, cost, and performance.
• Able to prototype, evaluate, and operationalize AI-first capabilities in partnership with engineering and SMEs.
• Create 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.

Qualifications

• Bachelor’s degree in engineering, business, or a related field, or equivalent combination of education, training, and relevant professional experience.
• Experience identifying cross-product innovation opportunities and driving roadmap alignment through APIs, integrations, and shared platform capabilities.
• Experience mentoring or coaching junior product owners on AI fluency and product development practices.

Skills

• AI fluency (able to prototype, evaluate, and operationalize AI-first capabilities in partnership with engineering and SMEs).
• Systems-level thinking, executive communication, and the ability to lead through influence in complex, matrixed organizations.
• Success metrics, monitoring, and continuous improvement across quality, reliability, usage, cost, and performance.
• Modern AI/ML concepts (LLM-based solutions, agents, data pipelines).

Benefits

Not specified.

Pay

US Base Salary Range: $189,600.00 - $246,400.00

Schedule

Not specified.