
Senior Director, TPgM, Product Verticals (ML), Google Cloud
Austin, TXJob$336–467K/yrSeen 4 days agoSeen in employer's feed 4 days ago
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Job overview
The Senior Director will lead a multi‑disciplinary organization to plan, execute and deliver complex supply‑chain programs for Google Cloud’s machine‑learning products, overseeing NPI to end‑of‑life phases and driving AI/ML adoption across operations.
Skills & qualifications
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Full job description
Senior Director, TPgM, Product Verticals (ML), Google Cloud
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XNote: 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:
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Bachelor’s degree in Electrical or Computer Engineering, a related field, or equivalent practical experience.
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15 years of relevant technical program management or supply chain management experience in Technology, Chip Manufacturing, or a related industry.
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Experience with the domain area of NPI launch, Hardware Manufacturing, Supply Chain operations, and Technical Operations.
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Experience working with technical commodities (e.g., silicon, memory, optics, storage, networking).
Preferred qualifications:
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Master’s degree in Electrical Engineering or MBA.
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Exceptional executive presence with expert S/VP-level communication and influence skills.
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Deep technical expertise in systems and software with leadership skills to influence technical leaders across the company.
About the job
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 aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) .
Responsibilities
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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.
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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.
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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.
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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.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .
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 alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC\_KnowYourRights\_10\_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) .
If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.
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