VP of AI Product.

VP of AI Product roles currently command a 10 to 20% premium over generalist VP of Product positions due to the specialized skills required. Understanding ML model capabilities, data pipeline architecture, and responsible AI practices creates a smaller talent pool that drives compensation upward.

Companies expect VPs of AI Product to understand model architectures, training data requirements, inference costs, and evaluation metrics without necessarily coding. Those with ML engineering backgrounds or graduate AI coursework earn 10 to 15% more than pure product managers who have pivoted into AI product roles.

Ask about equity structure, vesting schedule, annual bonus targets, 401(k) match, health insurance premiums, PTO policy, and remote flexibility. Equity is heavily weighted at AI-focused companies, with grants worth $200,000 to $600,000 annually at well-funded startups. In Kansas City's market, these extras can add $59,250 or more on top of the base salary.

AI product maturity, model deployment complexity, and revenue attribution to AI features create the widest pay bands. VPs building AI-native products from scratch command more than those adding AI features to existing platforms. Prior experience shipping AI products at scale and managing ML engineering teams drives premium offers. In Kansas City, these factors can push compensation from the 25th percentile of $177,000 to the 75th percentile of $307,000 or beyond.

Kansas City straddles Missouri and Kansas, creating a unique dual state job market with strong logistics, tech, and agriculture technology sectors. The metro's central location has made it a hub for distribution centers and supply chain companies. For VP of AI Products specifically, the median salary of $237,000 reflects that demand.

Remote work has compressed geographic salary premiums for VP of AI Products. Some Kansas City employers offer location adjusted pay, while others maintain local rates to attract in office talent. In Kansas City's moderate cost market, remote and local salaries are converging. The $177,000 to $307,000 range reflects both arrangements.

Kansas City straddles Missouri and Kansas, creating a unique dual state job market with strong logistics, tech, and agriculture technology sectors. The metro's central location has made it a hub for distribution centers and supply chain companies. For VP of AI Products specifically, ai product maturity, model deployment complexity, and revenue attribution to ai features create the widest pay bands, which signals sustained demand. The current compensation range of $177,000 to $307,000 reflects a market that is competing for talent.