Manager, Product Management (platform)

Caterpillar Caterpillar · Industrial · Chicago, IL +3

Product Manager for AI and autonomy-enabled capabilities on the Helios Platform, focusing on driving platform-level product thinking to enable intelligent, API-driven, and autonomous workflows. The role requires shaping the platform roadmap and guiding product managers to deliver high-impact capabilities for 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. Drive transition from manual workflows to AI-assisted and agentic execution models
  3. Define platform capabilities that support: Autonomous machine operations, Remote diagnostic, control, and automation, Closed-loop learning systems across fleets.
  4. Cross-Functional Leadership & Collaboration across Engineering, Architecture, and other product teams
  5. Software Product Execution & Delivery

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
  • 8+ years of experience in product manager, with at least 3+ years of platform, AI/ML, or data-driven products
  • Strong understanding of AI/ML concepts (assistive, predictive, prescriptive, agentic systems)
  • Cloud-native platforms and API ecosystems
  • Product lifecycle in complex, cross-functional enterprise environments or ecosystems
  • Experience with Multi-team objective and key results alignments
  • Value-based roadmapping
  • Experience with Autonomous systems, robotics, or machine intelligence
  • Industrial IoT, telematics, or connected assets
  • Building AI-enabled or agentic workflows
  • Familiarity with AWS/Azure cloud platforms
  • 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 innovation
  • enterprise autonomy and AI investments
  • AI-native and autonomy-driven solutions
  • AI-native execution layer
  • AI and autonomy capabilities
  • autonomous machine
  • AI-powered platform services
  • agentic execution models
  • Autonomous machine operations
  • AI/ML concepts
  • Autonomous systems, robotics, or machine intelligence
  • Building AI-enabled or agentic workflows

Other signals

  • AI-enabled capabilities on the Helios Platform
  • driving platform-level product thinking
  • enables intelligent, API-driven, and autonomous workflows
  • AI-native execution layer that transforms insights into actions