Principal Digital Product Manager, Applied AI

Caterpillar Caterpillar · Industrial · Irving, TX +2

Product Manager role focused on enabling and scaling AI adoption across Caterpillar's enterprise. The role involves partnering with business teams to define AI roadmaps, translate needs into AI/ML requirements, rapidly prototype AI solutions using modern tools, lead the AI development lifecycle with Data Scientists and ML Engineers, and build frameworks for independent AI adoption. Emphasis on a 'forward-deployed mindset' and AI governance.

What you'd actually do

  1. Shape the Business Team’s AI Roadmap: Embed with assigned business functions to help them define their AI vision, priorities, and roadmap. Identify high-impact opportunities where applied AI can deliver real business value for that team — you’re enabling their roadmap, not running a central product line.
  2. Translate Insights to Requirements: Work closely with stakeholders, business analysts, and users to understand needs. Translate these needs into clear, concise Epics, User Stories, and PRDs (Product Requirements Documents) that specifically address the unique constraints and capabilities of AI/ML systems.
  3. Build to Learn (Forward-Deployed Mindset): Rapidly prototype AI solutions alongside business users — building quick, functional proofs-of-concept with leading AI tools (e.g., Claude, Copilot, low-code agent builders) to validate value before committing to full production builds.
  4. Lead the AI Development Lifecycle: Collaborate daily with Data Scientists, ML Engineers, and Software Engineers to manage the AI prototype development lifecycle, including drafting PRDs, technical discovery, agentic workflow design/development and evaluating success.
  5. Transfer Capability: Build frameworks and playbooks that business teams can use to more independently identify, define and build prototypes. Progressively shift ownership to the business.

Skills

Required

  • Experience as a Product Manager focused on Agentic AI, Generative AI, Machine Learning, or AI-powered products
  • Solid understanding of the AI lifecycle, common model types (e.g., NLP, Computer Vision, Predictive Models, LLMs), feature engineering, and the challenges of deploying and monitoring models in production environments (MLOps)
  • Demonstrated ability to personally build functional prototypes using modern AI tooling (spec driven development and/or low code tools)
  • Exceptional written and verbal communication skills, with the ability to articulate complex AI concepts to non-technical business leaders and users, as well as define detailed requirements for technical teams.
  • Proven ability to define and execute a product roadmap based on quantitative data and user research.

Nice to have

  • Direct experience or degree in Data Science or Engineering
  • Experience with cloud-based ML platforms (e.g., AWS Sagemaker, Google AI Platform, Azure ML)
  • Prior experience managing products in a specific industry (e.g., FinTech, Healthcare, E-commerce)
  • Familiarity with A/B testing frameworks for evaluating and improving model-driven features

What the JD emphasized

  • proven ability to guide technical teams in bringing complex AI capabilities from the lab to production
  • proven experience as a Product Manager focused on Agentic AI, Generative AI, Machine Learning, or AI-powered products
  • Demonstrated ability to personally build functional prototypes using modern AI tooling
  • proven ability to define and execute a product roadmap based on quantitative data and user research

Other signals

  • AI Accelerator
  • AI adoption and progress across the enterprise
  • shape and execute their AI roadmaps
  • bring high-value AI capabilities to life
  • guide technical teams in bringing complex AI capabilities from the lab to production