With $67.6 billion in sales and revenues, 118,000 employees worldwide, and one of the largest independent dealer networks serving nearly 190 countries, Caterpillar's impact reaches around the globe. At Cat Digital, we combine data, technology, and innovation to help solve our customers' toughest challenges. We create digital capabilities that drive smarter decisions, greater efficiency, and exceptional outcomes. While our scale is significant, opportunities to learn, grow, and make a meaningful impact are never far away.
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Chrissy Metz believes that she grew up in the “best of both worlds” — on a farm in the south suburbs of Chicago, where dirt bike rides with her younger brothers were just as common as museum trips into the city. Little did she know back then that her city-girl-meets-rural-life story would set the perfect stage for a long, enriching career at Caterpillar. Metz has had countless roles throughout the almost 19 years she has worked at the company. Since joining the company in the marketing rotation program in 2006, Metz has learned — and experienced — more than she could have imagined. “I’m truly grateful for all the opportunities I have had with this company," she said.
Recently posted jobs
Artificial Intelligence • Cloud • Internet of Things • Software • Cybersecurity • Industrial • Industrial Equipment
Leads software test engineering for Caterpillar’s AI and autonomy programs. Defines AI testing strategy, quality standards, frameworks, tooling, automation, and governance. Manages and develops test engineering leaders and teams, architects model-validation and data-quality solutions, and partners with engineering, product, and data science teams to ensure reliable, safe, compliant systems. Drives continuous improvement through automation, observability, AI-assisted development, and scalable quality practices.
Artificial Intelligence • Cloud • Internet of Things • Software • Cybersecurity • Industrial • Industrial Equipment
Lead the Power & Energy segment’s data architecture vision, strategy, target-state roadmap, conceptual and enterprise data modeling, governance standards, security, metadata, lineage, and solution design. Partner with data engineering, analytics, IT, business stakeholders, and executives to ensure scalable, reusable, high-quality data ecosystems aligned with business needs. Guide data modernization, cloud migration, and digital transformation initiatives.
Artificial Intelligence • Cloud • Internet of Things • Software • Cybersecurity • Industrial • Industrial Equipment
Design, develop, test, certify, and deploy autonomy components for large off-road machines across perception, planning, control, and learning. Take robotics solutions from prototype through production on real hardware, contribute across the autonomy stack, and collaborate in outcome-focused engineering pods. The role involves simulation, on-vehicle deployment, field robotics, and potentially machine-learning infrastructure.
