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 the Commodity Manager within the optics management team, you will define and execute Google's sourcing strategy and supplier management for optical technologies. You will act as a key liaison with engineering teams working on New Product Introduction (NPI). You will also work with planning teams to ensure the timely and cost-effective delivery of materials. Your responsibilities include ensuring adequate manufacturing capacity based on dynamic forecasts, implementing effective risk mitigation strategies to ensure supplier assurance, and collaborating with procurement teams to secure optimal pricing and delivery at scale. You will also work with cross-functional partners to drive quality objectives and manage both tactical and strategic issues concurrently, directly supporting the growth of Google's cloud infrastructure. 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.
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Job Type
Full-time
Career Level
Manager
Number of Employees
5,001-10,000 employees