Manager, Product Management; Platform

Position: Manager, Product Management (Platform)
Career Area:

Technology, Digital and Data

Job Description:

Your Work Shapes the World at Caterpillar Inc.

When you join Caterpillar, you're joining a global team who cares not just about the work we do - but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here - we make it happen, with our customers, where we work and live.

Together, we are building a better world, so we can all enjoy living in it.

Job Summary:

Cat Digital is seeking a Manager-level Platform Product Manager to lead the strategy, definition, and delivery of AI- and autonomy-enabled capabilities on the Helios Platform. This role is responsible for driving platform-level product thinking, ensuring Helios evolves as a cohesive, scalable foundation that enables intelligent, API-driven, and autonomous workflows across Caterpillar's digital ecosystem. As a product leader, you will operate 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.

The role requires strong systems thinking, cross-functional leadership, and execution discipline, with accountability for shaping platform roadmap, guiding product managers, and ensuring delivery of high-impact capabilities that enable AI-native and autonomy-driven solutions  role is critical to advancing Helios as an AI-native execution layer that transforms insights into actions across machines, applications, and ecosystems.

What You Will Do:

* Product Strategy & Vision (Autonomy + AI)

* 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

* AI-Native Platform Capability Development

* 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

* Autonomy Enablement (Machine à Platform à Ecosystem)

* Define platform capabilities that support:

* Autonomous machine operations

* Remote diagnostic, control, and automation

* Closed-loop learning systems across fleets.

* Cross-Functional Leadership & Collaboration across Engineering, Architecture, and other product teams

* Software Product Execution & Delivery

* Ecosystem & Commercialization Readiness

What

You Will Have:

* Effective Communications:
Understanding of effective communication concepts, tools and techniques; ability to effectively transmit, receive, and accurately interpret ideas, information, and needs through the application of appropriate communication behaviors.

* Decision Making and Critical Thinking:
Knowledge of the decision-making process and associated tools and techniques; ability to accurately analyze situations and reach productive decisions based on informed judgment.

* Software Product Business Knowledge:
Knowledge of and experience with the business aspects and operation of a software product; ability to manage install base, current uses, future plans, and product vision.

* Software Product Management:
Knowledge of software product management; ability to operate and manage software product development projects at all stages of the product development lifecycle.

* Software Product Technical Knowledge:
Knowledge of technical aspects of a software products; ability to design, configure and integrate technical aspects of software products.

What

You Will Have:

(Preferred)

* 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…