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X Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
Sunnyvale, CA, USA; Austin, TX, USA; Redwood City, CA, USA.
Minimum qualifications: - Bachelor's degree in Engineering, Computer Science, Operations, Business, or equivalent practical experience.
- 15 years of experience in product management, technical program management, or hardware operations leadership within semiconductor, cloud infrastructure, or hardware environments.
- Experience leading multi-disciplinary engineering, operations, or supply chain organizations.
Preferred qualifications: - Experience managing product lifecycles spanning product engineering, manufacturing production, and National Product Introduction (NPI) processes.
- Experience structuring commercial agreements and aligning technical roadmaps with external contract manufacturers, suppliers, and ODMs.
- Technical familiarity with advanced hardware commodities, including custom silicon (such as Tensor Processing Units/TPUs), High-Bandwidth Memory (HBM), and optical networking.
- Demonstrated ability to manage and scale geographically distributed technical teams.
About the jobAs the Senior Director, Centralized Manufacturing Technical Operations, you will lead the National Product Introduction (NPI)-focused function aligned to Google's Machine Learning product portfolio. This position is responsible for coordinating strategies across commodities-such as silicon, memory, and optics-to compile disjointed plans into cohesive, integrated program plans.
You will oversee a multi-disciplinary organization comprising Operations Program Managers (Ops PMs), Supply Chain Program Managers (SCPMs), and Product Manufacturing Engineers (PMEs) across both the NPI and sustaining phases. The role requires end-to-end management spanning three core tenets: product engineering, production, and National Product Introduction (NPI) processes.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $336000 - $467000 (USD) 40% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities - Drive the planning, execution, and delivery of complex supply chain programs for machine learning products from NPI to End-of-Life (EOL). Ensure the execution and launch of time-sensitive products to support growing AI infrastructure needs.
- Look across individual commodity silos (including silicon, memory, and optics) to align technical and operational strategies into unified, executable roadmaps.
- Lead, scale, and manage a global team of Ops PMs, SCPMs, and PMEs across multiple locations. Define resourcing requirements and operational structures to handle scaling.
- Enable the standard tools, processes, and OKRs required to scale operations efficiently. Manage partner differences, eliminate operational outliers, and optimize throughput and capacity.
