Top Artificial Intelligence Product Manager Jobs

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 strategy and roadmaps for Inventory Solutions, define and prioritize epics/features, drive PI planning, collaborate with engineering/UX, engage stakeholders, use data and KPIs to inform decisions, ensure compliance and risk management, and support go-to-market activities.

Lead discovery, roadmap, and spec-driven delivery for Provision and ProfitTime inventory products. Connect workflows across Cox Automotive, apply AI tools, use data from Amplitude/Tableau/Snowflake to drive decisions, and own adoption, go-to-market, and stakeholder alignment.

Lead strategy, roadmap, and delivery for the Network Optimization module of the Value Connect platform. Define product vision, prioritize analytics-driven optimization use cases, translate data and clinical needs into scalable features, partner with engineering/data science and cross-functional stakeholders, and measure adoption and financial impact.

Serve as the bridge between business and engineering to prioritize backlog and align roadmap, translate customer needs into user stories, drive Agile delivery, manage dependencies and tradeoffs, and ensure solutions deliver measurable business value while leveraging enterprise AI tools to improve workflows.

Lead strategy, roadmap, and delivery of scalable benefit automation capabilities across lines of business. Translate business needs into capabilities, manage cross-functional delivery, measure business value, support technology selection, and communicate with technical and executive stakeholders within an Agile environment.

Lead end-to-end growth product work: build and optimize acquisition and conversion funnels, design and run experiments, analyze results, partner with engineering, design, data science, and research to launch and iterate features that drive user acquisition and retention.

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 customer engagements for EliseAI's Future Platforms: drive deployments from sales handoff through launch, coordinate cross-functional teams, define requirements and success metrics, build repeatable playbooks, and inform product roadmap to ensure adoption and business impact.

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.

Own the engagement platform for Managed Accounts: design event taxonomy, segmentation, instrumentation, experimentation, and measurement. Partner with engineering, marketing ops, compliance and product teams to build scalable, compliant automated journeys, prevent message conflicts, and improve enrollment and engagement metrics through data-driven experiments and KPI reporting.

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.