Principal Product Manager - AI Solutions
Company websitevertexinc.com (Vertex, opens in new tab)
Base salary $189,600 to $246,400
Employer-published annual base salary, USD. Advertised base range in United States
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationUnited States
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (1 h ago) · observed since
About this job
Job Description:
Job Description Summary
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.
Required Qualifications
Seeking a minimum of six (6) years of relevant product management experience. Principal-level success includes 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.
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.
AI fluency (required): able to 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.
Preferred 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.
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.
Vertex Values: Together We Win
We're building a team of people who are passionate about making an impact for our customers and committed to how that impact is achieved. Our values define the behaviors, mindset, and culture that make Vertex a great place to grow and do meaningful work.
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 Transparency Statement:
US Base Salary Range: $189,600.00 - $246,400.00Base 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.
Source: Vertex on Workday · View original posting (opens in new tab)
Pay in context
This role's base floor ($189,600) is above 72% of the 3,014 Product roles nationwide listed on this site. Their median floor is $163,944; the middle half runs from $136,500 to $193,759.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 8, 2026.
This listingPrincipal Product Manager - AI Solutions$189,600 to $246,400
Senior Principal Product Manager – Audit AI$191,500 to $249,000
Senior Principal Product Manager – Audit AI$191,500 to $249,000
Principal AI Engineer$159,600 to $207,500
Director - AI Product Management$157,900 to $205,400
Field Consultant Principal$157,900 to $205,400
Field Consultant Principal$157,900 to $205,400
Chart as a table
| Role | Published base |
|---|---|
| Principal Product Manager - AI Solutions (this listing) | $189,600 - $246,400 |
| Senior Principal Product Manager – Audit AI | $191,500 - $249,000 |
| Senior Principal Product Manager – Audit AI | $191,500 - $249,000 |
| Principal AI Engineer | $159,600 - $207,500 |
| Director - AI Product Management | $157,900 - $205,400 |
| Field Consultant Principal | $157,900 - $205,400 |
| Field Consultant Principal | $157,900 - $205,400 |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- Observed since
- Employer-stated posting date
- 2026-10-13
Where this pay comes from
Location as the employer wrote it: Remote USA
US Base Salary Range: $189,600.00 - $246,400.00
- Method
- Employer text, read with fixed rules and re-verified
- Checked
- Rule set
- us-base-v2
The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
