VP of AI Product Management

Baker Tilly•San Diego, CA

9h•$250,000 - $400,000

About The Position

Baker Tilly is seeking a Vice President of AI Product Management to establish and lead the product management function for its AI products and platforms. The role oversees product strategy and execution across AI Agents and Agent Factory, Compass / Intelligence Platform, and the broader AI Platform. Working with senior practitioners, engineering leaders, design, and executive leadership, the VP translates business and practitioner needs into product strategies, roadmaps, and specifications for high-impact AI solutions, and owns the product lifecycle from definition and prioritization through launch, adoption, and continuous improvement. The VP will build and develop a high-performing AI product management organization, establish product standards and operating rhythms, and shape how Baker Tilly develops and scales AI-enabled products across the firm. The role also communicates product strategy and value to senior leaders and evaluates product performance using data, adoption insights, and business outcomes. The position requires 15+ years of product management experience, including 5+ years leading product teams, and experience shipping AI products to production. A bachelor’s degree in computer science, engineering, business, or a related field, or equivalent practical experience, is required; an advanced degree is a plus. The stated pay range is $250,000 to $400,000. Work location status should be discussed with a Baker Tilly talent acquisition professional.

Requirements

Bachelor’s degree in computer science, engineering, business, or a related field, or equivalent practical experience.
15+ years of product management experience, including 5+ years leading product teams, with AI products shipped to production.
Experience building or re-founding a product management function, including hiring product managers and establishing lasting standards.
Exceptional written product definition skills; a writing sample will be reviewed.
Experience working directly with domain experts and engineers and earning credibility with both.
Technical fluency sufficient to interpret architecture and evaluation results, establish acceptance criteria, and challenge estimates.
Experience launching products to skeptical, expert user bases and achieving adoption.
Executive-scope experience with roadmaps, portfolios, and communication to senior leadership, while maintaining product management craft.
Personal use of AI leverage: designing and building with agentic tools as a force multiplier.
AI product judgment, including model-capability trends, human-in-the-loop design, and trust and adoption dynamics.
Evaluation literacy, including baselines, regression, and confidence, sufficient to write acceptance criteria engineers respect.
Knowledge of spec-driven development and AI-assisted product craft.
Portfolio and prioritization discipline under ambiguity, including value cases that withstand finance review.
Empathy for professional-services practitioners and how they work, bill, review, and sign.
Experience building product organizations, including hiring standards, PM career paths, and definition cadences across time zones.
No certifications or licenses are required.

Nice To Haves

Advanced degree.
Enterprise or B2B SaaS depth.

Responsibilities

Own product strategy, roadmaps, and the portfolio across AI Agents and Agent Factory, Compass / Intelligence Platform, and the AI Platform; partner with business and technology leaders to set priorities and measure value.
Establish and lead product definition, including requirements, specifications, prioritization, and acceptance criteria informed by evaluation results and user needs.
Translate practitioner and business needs into scalable product solutions while balancing user experience, technical feasibility, business value, and speed to market.
Partner with engineering, architecture, design, and domain leaders throughout the product lifecycle, from definition through delivery.
Lead product launches and adoption strategies with service lines, including practitioner rollout, enablement, adoption measurement, and feedback loops.
Establish consistent product management practices and operating rhythms across teams in the U.S. and India.
Build and lead the AI product management organization by hiring, developing, and coaching senior product management talent and setting standards for product excellence.
Partner with design leadership to develop product definition, user experience, and acceptance criteria cohesively.
Develop and communicate the product narrative to senior and executive leadership, explaining what is being built, why it matters, and the value it creates.
Evaluate product performance and value across the portfolio using data, adoption insights, and business outcomes to inform investment and prioritization decisions.
Engage in special projects or complete other duties as assigned.