Lead the development and lifecycle management of AI-powered capabilities for Caterpillar's machines, enhancing operator productivity and safety through intelligent, context-aware experiences.
Product Strategy & Roadmap
- Define and evolve the GEN AI product vision for In-Cab experiences, aligned with Caterpillar's AI Assistant roadmap and enterprise transformation goals.
- Drive prioritization of features such as voice interaction, operator coaching, real-time condition monitoring, and proactive safety alerts.
Cross-functional Leadership
- Collaborate with engineering, UX, data science, and platform teams to deliver edge-deployed AI agents with low latency and high reliability.
- Partner with Cat Digital, DPM, and Cat Technology teams to ensure alignment with broader enterprise AI strategies.
Lifecycle Management
- Oversee the full lifecycle of GEN AI agents, from ideation and prototyping to testing, deployment, and continuous improvement.
- Ensure compliance with governance frameworks, security protocols, and production readiness standards.
Customer & Dealer Enablement
- Champion user-centric design for in-cab interfaces, enabling intuitive access to operator manuals, troubleshooting guides, and personalized recommendations.
- Support customer onboarding through embedded coaching and contextual guidance features.
Performance & Analytics
- Monitor agent performance, usage patterns, and feedback to inform enhancements and ensure measurable impact on operator efficiency and safety.
Innovation & R&D
- Lead proof-of-concept initiatives with external partners and internal teams to explore new GEN AI capabilities.
Decision Making and Critical Thinking: Apply AI ethics and risk frameworks to guide decisions on agent behavior, data usage, and model selection.
Effective Communications: Translate complex AI concepts into actionable insights for stakeholders across engineering, product, and field operations.
Software Change Request Management: Manage change requests for AI agent configurations, model updates, and edge deployment protocols.
Software Engineering: Lead development of AI agents using modular architectures, ensuring flexibility in LLM selection and minimizing hallucinations.
Software Product Business Knowledge: Understand the business impact of in-cab AI features on operator productivity, safety, and customer satisfaction.
Software Product Management: Navigate ambiguity in emerging AI technologies, balancing innovation with operational feasibility and compliance.
Software Product Technical Knowledge: Deep familiarity with edge computing, machine telemetry, and integration with Caterpillar's digital ecosystem.
Marketing Strategy and Positioning: Position the In-Cab AI Assistant as a transformative capability in Caterpillar's product portfolio, supporting upselling and customer retention.
Considerations For Top Candidates:
- Experienced with Agile methodology.
- Experience managing product backlog.
- Experience working with BI tools such as PowerBI or Tableau.
- Experience with Python programming is a plus.