Top Product Manager Jobs

Serve as Scrum Master and Product Owner for software teams: create and prioritize product backlog, lead daily scrums, define product vision, decompose features into user stories, manage defects, set release scope/dates, negotiate requirements, and engage stakeholders and customers.

Author and structure digital content and product rules for the Control Center application. Define feature requirements, participate in development and UAT, create user-facing documentation, gather dealer feedback, and provide ongoing stakeholder support to ensure accurate, scalable dealer execution.

Lead product vision, strategy, and roadmap for S&OP and Dealer Order Planning digital platforms. Translate business needs into user stories, prioritize backlog, drive UAT and adoption, partner with Supply Chain, Sales, Finance and IT, manage SLAs and service management, and deliver improvements in forecast accuracy, planning efficiency, and system reliability.

Lead digital product direction and roadmap, translate business needs into prioritized backlog, conduct discovery with users, create technical product documentation, drive product quality and growth, develop reports and visualizations, and collaborate with technical teams, partners, and dealer users to deliver digital aftermarket solutions.

Lead the development and lifecycle management of AI-powered capabilities for Caterpillar's machines, enhancing operator productivity and safety through intelligent, context-aware experiences.

As a Digital Product Owner for Cat Inspect, you will lead the transformation of the application, coordinate development, manage feature prioritization, and collaborate internally while focusing on generative AI for enhanced user experience.

Own the safety and compliance product portfolio: define strategy, roadmap, and governance to ensure autonomous and software-enabled products meet safety, regulatory, and certification requirements. Prioritize backlog, drive hazard analyses and risk mitigation, ensure traceability and audit readiness, partner cross-functionally with engineering, safety, legal, and quality, and communicate compliance and certification status to stakeholders.

Lead end-to-end machine deployment lifecycle: define strategy and roadmap, manage integrated master schedule, prioritize backlog, coordinate procurement, assembly, validation, testing, logistics, shipment, and site delivery. Make deployment decisions, define acceptance criteria, and communicate readiness, risks, and milestones while partnering with Engineering, Supply Chain, Manufacturing, Test & Validation, and customers.

Lead strategy, roadmap, and delivery for data collection, labeling, quality, and scalable pipeline products that enable AI/ML, analytics, and autonomous systems. Own product backlog, define acceptance criteria, set data quality and governance standards, prioritize data acquisition and annotation, and coordinate cross-functional engineering and data teams to deliver production datasets and platform capabilities.