About this role
Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We're always on call to keep our networks up and running, ensuring our users have the best and fastest experience possible.
As 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.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
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 (https://www.google.com/about/careers/applications/benefits/).
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.
- 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.