Program Manager III, Machine Learning Deployment, Cloud Supply Chain

Program Manager III, Machine Learning Deployment, Cloud Supply Chain

Sunnyvale, CA, USA

• Bachelor's degree or equivalent practical experience.
• 5 years of experience in program or project management.
• Experience in supply chain planning or capacity planning.
• Experience in SQL.

• 5 years of experience managing cross‑functional or cross‑team projects.
• 5 years of experience in a supply chain planning organization handling over $1B in spend/year.
• Familiarity with supply chains leveraging contract manufacturers across the globe.
• Ability to communicate with executives on large data sets and defend allocation decisions.
• Ability to collect and analyze data.

A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Program Manager at Google, you’ll lead complex, multi‑disciplinary projects from start to finish — working with stakeholders to plan requirements, manage project schedules, identify risks, and communicate clearly with cross‑functional partners across the company.

Your projects will often span offices, time zones, and hemispheres. It's your job to coordinate the players and keep them up to date on progress and deadlines.

The Machine Operations and Deployment Engineering (MODE) - ML-TPU Deployment team is accountable for the orchestration and enablement of machine learning builds from demand creation, constraints enforcement, and infrastructure mapping through to deployment execution through our contract manufacturers and data centers. We focus on timely execution, proactive exception management, and rigorous governance, and we drive delivery policies and transformational programs to enable success for our customers and Google.

As a MODE Deployment PgM, you will lead complex, multi‑disciplinary projects, define requirements with internal customers, and usher projects through the entire project lifecycle. You'll also manage project schedules, proactively identify risks and clearly communicate goals to project stakeholders. Your projects often span offices, time zones and hemispheres, and it's your job to keep all the players coordinated on the project's progress and deadlines.

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: $159,000 - $231,000 (USD) + 15% bonus target + equity + benefits.

• Own on-time delivery performance of Machine Learning capacity.
• Design, align, and drive efforts to improve efficiency, cycle times, reliability, predictability and on‑time delivery.
• Executive communication on global delivery outlook, detailed demand status, and align actions to stakeholders including Alphabet's Product Areas, AI leadership and partner organizations.
• Collaborate across organizational levels and boundaries.
• Oversee and ensure successful execution and delivery of plans and strategies. Troubleshoot issues, identify risk areas and develop mitigation strategies.

Individual pay is determined by factors including job‑related skills, experience, and relevant education or training. US: $159,000 - $231,000 (USD) + 15% bonus target + equity + benefits.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by law.

See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .