Senior Director, TPgM, Product Verticals (ML), Google Cloud
Google· enterprise· Internet & Cloud Services· Sep 28, 2026 · 1mo ago
Sunnyvale, CA, USA · Austin, TX, USA · Redwood City, CA, USA
In office
Full-time
Director
$197K–$270K est.
Job description
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, 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.
You will manage a multi-disciplinary organization comprising Operations Program Managers (Ops PMs), Supply Chain Program Managers (SCPMs), and Product Manufacturing Engineers (PMEs) across both NPI and sustaining phases. Reporting into the ISM leadership, you will partner closely with executives across Cloud and Google, to ensure our supply chain and operational readiness align with the overall ML/AI product roadmap.
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 .
• 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 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).
Minimum qualifications:
• 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).
Preferred qualifications:
• Master’s degree in Electrical Engineering or MBA.
• Exceptional executive presence with expert S/VP-level communication and influence skills.
• Deep technical expertise in systems and software with leadership skills to influence technical leaders across the company.
Application prep
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