Manager, Product Management (platform)

Caterpillar Caterpillar · Industrial · Chicago, IL +3

Manager-level Platform Product Manager to lead the strategy, definition, and delivery of AI- and autonomy-enabled capabilities on the Helios Platform. Drives platform-level product thinking, ensuring Helios evolves as a cohesive, scalable foundation that enables intelligent, API-driven, and autonomous workflows. Operates at the intersection of platform product management and AI innovation, partnering closely with Cat Technology, engineering, and domain product teams to translate enterprise autonomy and AI investments into reusable, platform-native capabilities. Shapes platform roadmap, guides product managers, and ensures delivery of high-impact capabilities that enable AI-native and autonomy-driven solutions at scale.

What you'd actually do

  1. Define and drive the product strategy for AI and autonomy capabilities within our platform. Partnering cross functionally to align with autonomous machine, digital twin, and AI roadmap integration
  2. Lead development of AI-powered platform services such as Intelligent diagnostics and troubleshooting, Predictive and prescriptive workflows, Autonomous decision-support systems
  3. Drive transition from manual workflows to AI-assisted and agentic execution models
  4. Define platform capabilities that support: Autonomous machine operations, Remote diagnostic, control, and automation, Closed-loop learning systems across fleets.
  5. Cross-Functional Leadership & Collaboration across Engineering, Architecture, and other product teams

Skills

Required

  • Effective Communications
  • Decision Making and Critical Thinking
  • Software Product Business Knowledge
  • Software Product Management
  • Software Product Technical Knowledge

Nice to have

  • Bachelors degree in Engineering, Computer Science, or related fields
  • 5+ years of experience in product manager, with at least: 2+ years of platform, AI/ML, or data-driven products
  • Understanding of AI/ML concepts (assistive, predictive, prescriptive, agentic systems)
  • Understanding of Cloud-native platforms and API ecosystems
  • Understanding of Product lifecycle in complex, cross-functional enterprise environments or ecosystems
  • Experience with Multi-team objective and key results alignments
  • Experience with Value-based roadmapping
  • Experience with Autonomous systems, robotics, or machine intelligence
  • Experience with Industrial IoT, telematics, or connected assets
  • Experience with Building AI-enabled or agentic workflows
  • Familiarity with AWS/Azure cloud platforms
  • Familiarity with Data platforms, event-driven architectures, and APIs
  • Prior experience in business case financial expression and investment analysis

What the JD emphasized

  • AI and autonomy-enabled capabilities
  • AI-native
  • autonomy-driven solutions
  • AI-powered platform services
  • agentic execution models
  • Autonomous machine operations
  • Closed-loop learning systems

Other signals

  • AI and autonomy-enabled capabilities on the Helios Platform
  • AI-native execution layer
  • AI-assisted and agentic execution models
  • Autonomous machine operations
  • Closed-loop learning systems across fleets