NPI Product Operations Program Manager, Google Cloud Supply Chain

Minimum qualifications:

• Bachelor's or Master's degree in Supply Chain, Engineering, Business Administration, or equivalent practical experience.
• 5 years of experience in project management to launch hardware New Product Introduction processes for electronics (PCBA, servers, racks, L6, L10, and L11 manufacturing).
• 5 years of experience in end to end supply chain, material management, planning, and supply chain design.
• 5 years of experience in managing build and operations with contract manufacturing.

Preferred qualifications:

• 5 years of experience managing cross-functional or cross-team projects.
• Leadership experience in direct and matrix-managed organization structures.
• Knowledge of typical hardware BOM, assembly and test processes, project requirements and schedules.
• Proven record of leadership, analytical, quantitative reasoning, problem-solving, creativity and strategic skills.

About the job:

Empower the Cloud Supply Chain Organization to anticipate and enable velocity, scale, operational and product excellence through leadership, unified orchestration and governance.

Google’s global infrastructure is the foundation for our AI innovation, powering the world’s most advanced computing services at scale.
As a Program Manager in Central Product Operations, you will bridge our AI strategic goals with hardware development and supply chain execution. You will drive cross-organizational programs, providing strategic guidance and integrating AI-driven workflows to enhance efficiency and scale. By partnering closely with engineering and product teams, you will translate ambiguous objectives into measurable outcomes, ensuring the successful delivery of next-generation AI hardware.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $159000 - $230000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities:

• Advocate AI-driven tools to enable predictive analytics for on-time delivery (OTD) and define internal automation requirements to reduce toil across the product lifecycle.
• Lead complex cross-functional challenges, translating program goals into actionable roadmaps, OKRs, and milestones aligned across engineering, product operations, and IMS leadership.
• Identify supply chain friction points and design scalable frameworks or AI-assisted workflows (e.g., capacity planning, risk mitigation) to boost decision velocity and operational efficiency.
• Cultivate cross-functional partnerships, acting as a central point of influence to mobilize resources, remove barriers, and drive alignment on key technical decisions.
• Mentor junior program managers and foster an AI-First culture by sharing best practices for prompt engineering and agentic workflows to elevate team capabilities.