Technical Program Manager II, AI Modeling, Cloud Supply Chain

Google•Atlanta, GA

About The Position

As the Technical Program Manager for the Supply Chain Strategy and Innovation team, you will transform the capabilities to plan, source, make, and deliver the vast network of hardware that powers cloud services. You will be responsible for developing, testing, and demonstrating working AI agent prototypes that solve high-impact business problems which will then be transitioned to core engineering teams for production deployment. The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

Requirements

Bachelor's degree or equivalent practical experience.
2 years of experience managing projects.
Experience in developing AI/ML models, AI/ML algorithms, or AI-driven applications.

Nice To Haves

2 years of experience managing cross-functional or cross-team projects.
Experience working with cloud computing platforms and developing solutions that interact with data warehouses and databases (e.g., SQL and NoSQL).
Experience with optimization techniques (e.g., linear programming and heuristic search) and simulation modeling.
Experience in Python and standard data science libraries (e.g., NumPy, pandas, scikit-learn, and TensorFlow/PyTorch).
Experience or knowledge in global supply chain operations, planning, or logistics.

Responsibilities

Design, build, and prototype AI agents focused on optimizing key supply chain functions for cloud compute infrastructure (e.g., forecasting, capacity planning, demand sensing, component procurement, logistics, and reverse logistics).
Iterate on ideas, conducting A/B testing and proof-of-concept experiments to validate the technical feasibility and business impact of agent-based solutions.
Collaborate with Data Science and Data Engineering teams to identify, clean, and structure the necessary supply chain data for use in ML and agent models.
Create comprehensive documentation, including technical specifications, model architecture, and model maintenance procedures, to ensure a seamless and efficient transition of prototypes to production engineering teams.
Partner with Supply Chain Operations, Architect, Finance, and Engineering teams to define requirements, gather feedback, ensure prototypes align with strategic business objectives, and drive user adoption in production.