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About the role
As the Senior Director, Product Verticals (ML), you will lead a critical NPI-focused function aligned specifically to Google’s Machine Learning product portfolio. This pivotal leadership role is designed to look across commodities—including silicon, memory, and optics—to ensure disjointed strategies come together into cohesive, executable integrated program plans.
What they're looking for
- Bachelor’s degree in Electrical or Computer Engineering, a related field, or equivalent practical experience
- 15 years of relevant technical program management or supply chain management experience in Technology, Chip Manufacturing, or a related industry
- Experience with the domain area of NPI launch, Hardware Manufacturing, Supply Chain operations, and Technical Operations
- Experience working with technical commodities (e.g., silicon, memory, optics, storage, networking)
More about this role
- Drive the planning, execution, and delivery of complex supply chain programs for ML products, from NPI to end-of-life (EOL). Ensure the successful launch of time-sensitive products into deployment to support growing AI infrastructure needs.
- Lead and inspire an organization of Ops PMs, SCPMs, and PMEs. Build a healthy, scalable, and growth-oriented organization across multiple locations, managing resourcing requirements while driving sublinear scaling at a rapid pace.
- Enable the tools, processes, and OKRs required to scale effectively. Look across individual commodity silos to manage holistic product "square sets" and translate dependencies into unified roadmaps.
- Drive AI/ML adoption within supply chain operations and implement new methodologies to improve the efficiency of program management across the organization. Identify trends and resolve systemic problems across engineering organizations.
- Bachelor’s degree in Electrical or Computer Engineering, a related field, or equivalent practical experience.
- 15 years of relevant technical program management or supply chain management experience in Technology, Chip Manufacturing, or a related industry.
- Experience with the...
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