Want to know if this job is worth applying to?
Remote USA, United States of America
Remote only
Job Description:
Job Description Summary
The Lead Product Manager – AI Solutions role 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. This position 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.
Required Qualifications
- Minimum of 3 years of hands-on AI product experience commercially launching AI-driven and data-intensive product capabilities.
- 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.
- Experience applying responsible AI principles, including traceability, privacy, security, bias awareness, transparency, and auditability within owned capabilities.
- Clear, structured communication skills, conveying priorities, trade-offs, risks, and progress to cross-functional stakeholders.
AI Fluency: this role requires practical, hands-on AI fluency. The ideal candidate will be comfortable 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.
- Some experience mentoring or coaching junior product owners on AI fluency and product development practices.
Other Qualifications
The Winning Way behaviors that all Vertex employees need in order to meet the expectations of each other, our customers, and our partners.
COMMENTS:
The above statements are intended to describe the general nature and level of work being performed by individuals in this position. Other functions may be assigned, and management retains the right to add or change the duties at any time.
Pay Transparency Statement:
Base pay offered to new hires may vary based upon 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 a 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.
Learn more about Life at Vertex and connect with your recruiter for more details regarding Vertex's compensation and benefit programs.
*In no case will your pay fall below applicable local minimum wage requirements.