Top Artificial Intelligence Product Manager Jobs

Lead and scale product operations by optimizing intake, prioritization, and launches; partner cross-functionally to design AI-enabled automations, improve processes, dashboards, and documentation, and drive change management to increase operating efficiency.

Own the end-to-end repairer experience across Partlys Repair and Mobile Apps and integrations. Define strategy for progressive AI-driven automation of estimating, procurement, and reconciliation. Drive PLG metrics, onboarding, adoption, integrations quality, dashboards, and auditability. Run rapid prototypes and experiments, partner with engineering and GTM teams, and spend time with repairers to continuously improve product-market fit and outcomes.

Lead end-to-end product strategy for Luma's creative photo and video tools. Drive roadmap, launches, A/B testing, analytics, and user research with professional creators. Partner with research, engineering, design, and marketing to integrate AI features and grow active user engagement.

Lead vision, strategy, and commercialization for AI-powered provider utilization management products. Define roadmaps, lead cross-functional teams, conduct market research, size opportunity, build business cases, drive GTM and pricing, partner with clients and accounts, track product performance, and enable adoption and upsell through close work with marketing, sales, and customer success.

Lead strategy and execution for core Workspace ONE UEM platform capabilities, driving SaaS architecture, certificate management, enterprise readiness, partner integrations, compliance certification, upgrade strategy, and cross-functional delivery. Engage global customers and partners, author technical content, and ensure platform reliability, security, and scalability for enterprise deployments.

The Product Manager will own the AI redlining system, drive product direction, partner with lawyers, define metrics, and ensure velocity in product development.

Lead product vision, roadmap, and execution for Omniverse rendering, ovrtx, and sensor simulation. Define AI-ready simulation workflows, translate customer needs into product requirements, partner with engineering on rendering and sensor fidelity, prioritize SDKs/APIs and developer tools, and work with customers and partners to drive adoption and validate simulation for perception, robotics, and digital twin use cases.

Lead product for an AI-native B2B SaaS platform: own roadmap, prioritization, launch discipline, discovery, and customer-driven specs. Establish consistent processes, enforce milestones/DRIs, drive weekly customer-visible launches, and partner closely with CEO and engineering to scale product practice.

Lead product at an early-stage, AI-native B2B SaaS: own roadmap, prioritization, launch cadence, discovery, and ticket hygiene. Embed in customer calls, enforce milestones, drive estimate accuracy, and institutionalize product discipline across engineering and GTM.

Lead product vision, roadmap, and execution for humanoid robotics products. Drive market research, define KPIs, partner with engineering/design/data, manage product launches, engage customers and stakeholders, build and mentor a product team, and drive revenue through product innovation and go-to-market alignment.