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Product Manager, AI Solutions

Project Management Full-time Permanent United States

Job details

Not specified Salary
United States Eligibility
Staff Experience
Full-time Employment

About this role

Role overview Own the roadmap for AI-powered governance capabilities, taking ideas from research and prototypes through launch as customer-facing product features. The portfolio includes AI-assisted governance intake and risk mapping, regulatory intelligence, vendor risk, and evaluations that establish whether AI features are ready to ship. This is a hands-on product role working closely with researchers, engineers, customers, and go-to-market teams.

Responsibilities - Set monthly and quarterly outcomes for AI solutions and track adoption, completion, recommendation acceptance, time saved, quality, and retention. - Guide prototypes through validation, beta, and general availability. - Shape an assistant that gathers AI use-case information, completes assessments, asks follow-up questions, and assigns risk tiers. - Turn governance and regulatory knowledge into practical recommendations about relevant rules, controls, and next steps. - Define evaluation criteria, acceptance thresholds, and release standards; personally test features and review sample outputs. - Work with commercial and customer teams on packaging, pricing, positioning, and launches, and bring recurring customer feedback into the roadmap. - Build quick prototypes with AI coding tools to assess ideas before committing engineering resources.

Requirements - At least four years of product management experience, including launching an LLM-powered feature into production. - Practical understanding of prompting, retrieval, agents, evaluations, and common failure modes in LLM products. - Experience turning research or prototypes into products customers pay for. - Clear writing and the ability to explain model limitations to both technical and executive audiences. - Comfort owning outcomes with a small team in a startup setting.

Nice to have Experience in AI governance, risk, compliance, or policy, including frameworks such as the EU AI Act, NIST AI RMF, or ISO 42001. Knowledge graphs, regulatory content, enterprise search, vendor risk, or work at an early-stage company navigating limited resources are also relevant. San Francisco is a preferred location.

Benefits and work setup The role is remote on a distributed team, with supported coworking and periodic in-person gatherings and company offsites. The stated US base salary range is $160,000–$180,000. Benefits include equity, health, dental and vision coverage, an ergonomic equipment allowance, unlimited time off, up to 12 weeks of paid parental leave, and a US employee 401(k) plan.

Skills detected in the listing

LLM
Detected Nov 4, 2026
Last verified Nov 4, 2026

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