VP of AI Product Management at Baker Tilly | CA, US | Rezi

VP of AI Product Management at Baker Tilly

VP of AI Product Management

Baker Tilly · CA, US

2 weeks ago

VP of AI Product Management

Baker Tilly · CA, US

17 days ago
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About the Role

Baker Tilly is seeking a Vice President of AI Product Management to establish and lead the product management function for our AI products and platforms. This leader will oversee product strategy and execution across AI Agents and Agent Factory, Compass / Intelligence Platform, and the broader AI Platform, translating business needs into product strategies and roadmaps.

Responsibilities

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

Requirements

  • Bachelor’s degree in computer science, engineering, business, or a related field, or equivalent practical experience; advanced degree a plus.
  • No certifications or licenses required.
  • 15+ years of product management, including 5+ years leading product teams, with AI products shipped to production.
  • Has built or re-founded a product management function — hired the PMs, set the standard, and made it stick.
  • Exceptional written product definition craft — the PRD standard is the instrument of this organization, and the writing sample will be read.
  • Has worked directly with domain experts and engineers simultaneously, and earned credibility with both in the same week.
  • Technical fluency: reads architecture and evaluation results well enough to anchor acceptance criteria in them and to challenge an estimate.
  • Has launched products into skeptical, expert user bases and won adoption; enterprise or B2B SaaS depth preferred.
  • Has operated at executive scope — roadmap, portfolio, and narrative to senior leadership — without losing the craft.
  • Demonstrates personal AI leverage: designs and builds with agentic tools as a force multiplier — the working standard for this team.
  • AI product judgment: model-capability trends, human-in-the-loop design, trust and adoption dynamics.
  • Evaluation literacy: baselines, regression, confidence — enough to write criteria engineers respect.
  • Spec-driven development and AI-assisted product craft.
  • Portfolio and prioritization discipline under ambiguity; value cases that survive finance.
  • Professional-services domain empathy: how practitioners actually work, bill, review, and sign.
  • Product organization building: hiring bars, PM career paths, definition cadences across time zones.

Skills

  • AI Agents and Agent Factory
  • Compass / Intelligence Platform
  • AI Platform
  • Product Strategy
  • Roadmap Development
  • Product Definition
  • Product Requirements
  • Product Specifications
  • Prioritization
  • Acceptance Criteria
  • User Needs Analysis
  • User Experience Design
  • Technical Feasibility Assessment
  • Business Value Analysis
  • Speed to Market Optimization
  • Product Lifecycle Management
  • Product Launch Strategies
  • Adoption Strategies
  • Practitioner Rollout
  • Enablement Planning
  • Adoption Measurement
  • Feedback Loop Implementation
  • Product Management Practices
  • Operating Rhythms Establishment
  • Team Building and Development
  • Talent Coaching
  • Product Excellence Standards
  • Cross-functional Collaboration
  • Executive Communication
  • Product Narrative Development
  • Performance Evaluation
  • Data Analysis
  • Adoption Insights
  • Business Outcome Analysis
  • Investment Prioritization
  • Special Projects Management
  • Computer Science
  • Engineering
  • Business Analysis
  • AI Product Management
  • AI Product Development
  • Production Deployment
  • Product Management Function Building
  • Hiring and Staffing
  • Standard Setting
  • Product Definition Craft
  • PRD Development
  • Domain Expertise Collaboration
  • Engineering Collaboration
  • Technical Fluency
  • Architecture Review
  • Evaluation Result Analysis
  • Acceptance Criteria Anchoring
  • Estimate Challenging
  • Product Launch
  • Skeptical User Base Adoption
  • Enterprise SaaS
  • B2B SaaS
  • Executive Scope Management
  • Personal AI Leverage
  • Agentic Tools Utilization
  • AI-Assisted Product Craft
  • Model Capability Trend Analysis
  • Human-in-the-Loop Design
  • Trust and Adoption Dynamics
  • Evaluation Literacy
  • Baseline Establishment
  • Regression Analysis
  • Confidence Interval Understanding
  • Spec-Driven Development
  • Portfolio Management
  • Ambiguity Navigation
  • Value Case Development
  • Finance Review
  • Professional Services Domain Understanding
  • Time Zone Collaboration

Experience Level

  • 15+ years of product management
  • 5+ years leading product teams

Education Level

  • Bachelor’s degree in computer science, engineering, business, or a related field, or equivalent practical experience
  • Advanced degree a plus

Salary/Compensations

  • $250,000 to $400,000

Benefits

  • Compensation and benefits package to eligible employees

About the Company

  • Baker Tilly is a leading advisory, tax and assurance firm, providing clients with a genuine coast-to-coast and global advantage in major regions of the U.S. and in many of the world’s leading financial centers – New York, London, San Francisco, Los Angeles, Chicago and Boston.
  • Baker Tilly Advisory Group, LP and Baker Tilly US, LLP (Baker Tilly) provide professional services through an alternative practice structure in accordance with the AICPA Code of Professional Conduct and applicable laws, regulations and professional standards.
  • Baker Tilly US, LLP is a licensed independent CPA firm that provides attest services to its clients.
  • Baker Tilly Advisory Group, LP and its subsidiary entities provide tax and business advisory services to their clients.
  • Baker Tilly Advisory Group, LP and its subsidiary entities are not licensed CPA firms.
  • Baker Tilly Advisory Group, LP and Baker Tilly US, LLP, trading as Baker Tilly, are independent members of Baker Tilly International, a worldwide network of independent accounting and business advisory firms in 141 territories, with 43,000 professionals and a combined worldwide revenue of $5.2 billion.
  • Visit bakertilly.com or join the conversation on LinkedIn, Facebook and Instagram.

Equal Opportunity

  • Baker Tilly is an equal opportunity/affirmative action employer.
  • All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status, gender identity, sexual orientation, or any other legally protected basis, in accordance with applicable federal, state or local law.