About The Position

Commodity Managers work with Engineering teams to make sure Google has the supplies and equipment to put into production the innovative products coming from our Engineering teams. As a Commodity Manager, you use your wide industry knowledge and strategic supplier relationships to optimize our total cost of ownership for our global -- and growing -- infrastructure. The scale at which Google operates means that savings on just one piece of hardware can have a huge impact on Google's bottom line. As a Manufacturing Ramp Specialist at Google, you will lead the sourcing and operational execution for critical infrastructure components. You will be responsible for ensuring that our supply chain partners can scale to meet the unprecedented demand for Google’s data centers. This role is at the intersection of technical engineering and global supply chain, requiring a "systems thinker" who can manage the complexities of power delivery, networking, and silicon integration. In this role, you will not only discuss agreements but also in-depth search into the factory floor to optimize yields and cycle times. You will serve as a technical authority, working closely with New Product Introduction (NPI) teams to transition designs into high-volume manufacturing while maintaining the standards of quality and reliability. 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 in Engineering, Supply Chain Management, a related technical field, or equivalent practical experience.
  • 12 years of experience in global commodity management, manufacturing operations, or technical program management within the hardware or semiconductor industry.
  • Experience managing supplier and sub-supplier manufacturing ramps, including yields, cycle times, and quality control.
  • Experience with data center hardware architecture and a variety of component categories.

Nice To Haves

  • Master's degree or PhD in a technical or business field.
  • Understanding of networking, storage, compute, and the integration of silicon into board and system-level architectures.
  • Ability to influence executive-level stakeholders at suppliers (C-suite) and internal engineering leadership.
  • Ability to track records of resolving supply shortages and managing quality excursions in a high-growth environment.
  • Excellent skills in navigating ambiguity to drive cross-functional programs across work groups.

Responsibilities

  • Lead sourcing initiatives and agreements discussions for key hardware components, ensuring alignment with product roadmaps and delivering significant business value.
  • Manage supplier manufacturing ramps, driving improvements in yields, cycle times, and quality metrics to ensure seamless scaling of infrastructure.
  • Collaborate with NPI teams to resolve shortages and quality excursions, implementing systemic changes to prevent recurrence and drive execution velocity.
  • Build alliances with internal engineering leaders and influence supplier strategy at the executive level to ensure assurance of supply.
  • Establish decision-making cadences for portfolio reviews, ensuring manufacturing performance gains correlate directly to organizational OKRs (Objectives and Key Results).

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Number of Employees

5,001-10,000 employees

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