Top Artificial Intelligence Product Manager Jobs

Lead product ownership for seller-facing quoting, approvals, and opportunity workflows across Salesforce and CPQ. Drive discovery, prioritize high-impact problems, prototype and build AI-assisted internal tools, measure adoption and business impact, and partner with Sales, Deal Desk, Finance, and Engineering to deliver scalable quote-to-cash solutions.

Own product outcomes for OTR & Core Visibility: analyze adoption and retention, run SQL-driven analytics, engage customers for discovery and onboarding, prioritize backlog, collaborate with engineering/design, and support rollout and adoption metrics.

The Technical Product Manager will manage product development lifecycle, collaborate with engineering and stakeholders, and advocate for user-focused solutions in a fast-paced environment.

The Product Manager I will support product planning, market research, define requirements, and collaborate with teams for delivery in the Inventory Solutions portfolio.

Lead product management for Domino's AI Factory, enhancing MLOps capabilities, driving innovations, and integrating governance in model development. Engage with enterprise clients and maintain high product quality standards.

As a Product Manager II for Model Lab, you will define and launch an experiment tracking platform for AI and ML teams, focusing on product vision, customer adoption, and collaboration across teams.

Lead product strategy and roadmap for Fiduciary Services and Plan Advantage. Manage a global cross-functional squad, define validated business requirements, prioritize work in an Agile framework, and deliver new products and features. Partner with research, design, sales, and client services to drive adoption, demonstrate product capabilities to prospects, and support ongoing product lifecycle decisions including rollouts, trials, migrations, and sunsetting.

Lead end-to-end product strategy and roadmap for a centralized digital mortgage platform, driving consumer financing tools, lender integrations, data-validated leads, and seamless application workflows. Partner with engineering, design, and vendors to deliver measurable conversion and revenue outcomes while ensuring compliance, technical quality, and operational rhythms.

Lead end-to-end B2B growth product strategy: design discovery, onboarding, activation, trials, retention, and expansion flows. Build admin controls and provisioning rules, partner with Sales, Customer Success, and Self-Serve Growth, embed growth thinking across product teams, and define/track enterprise growth metrics to prioritize roadmap and measure impact.

Lead early-stage product incubation: run structured discovery, customer interviews, market analysis, and fast experiments to validate or kill concepts. Collaborate with a small pod (design, engineering, data), define stage-specific success criteria, synthesize signals into clear recommendations, and present findings to leadership. Move quickly, prioritize learning over polished deliverables, and de-risk new business ideas.