Axial Search
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AI Product Manager

San Francisco Bay Area · Hybrid

Technologyai_product_management$160k – $290k
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Axial Search builds long-term talent networks for AI, data, and transformation leaders across the United States, and applying for this role indicates your interest in positions like this one as your next move. This particular position isn't tied to a specific client today, but we actively place people with your background — apply and we'll be in touch when a matching role opens with one of our clients. In the meantime, please make use of our free tools to help with your job search, including our live job market dashboard with salary, skills, and hiring-trend data from thousands of AI transformation roles.

Job market data

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.

Key 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