Axial Search recruits for AI transformation roles across North America, building long-term relationships with leaders across every industry vertical. Apply today to express your interest in this position and others like it. Visit our website to learn more about our process and to find free tools to support your job search — including our live job market dashboard with salary, skills, and hiring-trend data from thousands of AI transformation roles.

What the market looks like

AI product management sits at the intersection of product craft and technical AI fluency — we track around 2,600 AI-specific product roles in the US in any given year, with hiring densest in the San Francisco Bay Area, New York, and Seattle. Mid-senior compensation generally falls in a $160K–$260K base band with meaningful equity, and the strongest AI PMs we place are those who can reason technically about model behavior and limitations while staying obsessed with user outcomes.

Job responsibilities

Own the roadmap for one or more AI-powered product areas
Partner with engineering and applied research on model selection, evaluation criteria, and release decisions
Translate product intent into clear specifications for AI, design, and engineering partners
Define and track product metrics — quality, safety, latency, cost — alongside business KPIs
Conduct user research specifically around AI-driven experiences and translate findings into product moves
Communicate trade-offs and risks clearly to internal stakeholders, including unpopular ones
Partner with legal, security, and trust teams on the responsible rollout of AI features
Contribute to the broader AI product practice across the company — templates, patterns, and learnings

Candidate requirements

5+ years as a product manager, with at least 2 years directly on AI or ML-powered products
Strong technical literacy — able to reason about model behavior, evaluation, and limitations
Excellent written and verbal communication across engineering, design, research, and leadership
Experience with modern PM tooling (Figma, Jira, Confluence) and basic SQL
Strong user research instincts, particularly for ambiguous AI-driven UX problems
Track record of shipping and iterating on production AI features

AI Product Manager