Program Manager II, Machine Delivery Supply Chain, Technical Infrastructure
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Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 2 years of experience in program or project management.
- Experience scripting in SQL.
- Experience in supply chain operations.
Preferred qualifications:
- Master's degree in a technical field.
- 5 years of experience in Supply Chain or data/analytics experience in the supply chain or operations domain.
- 2 years of experience managing cross-functional or cross-team projects.
- Ability to demonstrate performance in prior roles, with increasing levels of responsibility and leadership.
- Ability to grow in ambiguous and evolving environments, requiring alignment at senior levels and across numerous organizations.
- Excellent project management, people-management, and communication skills are coupled with an attention to detail, along with excellent problem-solving and organizational change management skills.
About the job
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.
Our goal is to build a Google that looks like the world around us — and we want Googlers to stay and grow when they join us. As part of our efforts to build a Google for everyone, we aim to cultivate a sense of belonging throughout the company.
The Machine Learning (ML) Supply Chain and Operations team is responsible for driving fulfillment and transforming Google’s ML fleet by balancing and shaping demand intent from our Product Areas, deployment decisions for new technology, and supply capability across data centers, networking, and machines. You will be responsible for overseeing the operational aspects of new server Machine Learning builds. Your focus will be on setting projections by taking in a number of inputs and ensuring the seamless and efficient execution of these demands, with an emphasis on orchestration and process improvement throughout the entire supply chain. You will have the opportunity to contribute to a cross-functional projects within one of the most advanced computing infrastructures.
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 keep our networks up and running, ensuring our users have the best and fastest experience possible.
The US base salary range for this full-time position is $126,000-$181,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
- Own and manage internal demand, supply, including setting and delivering to customer expectations for capacity including understanding deployment processes and dependencies.
- Work across organizational teams to understand issues and drive resolution across boundaries and levels within the supply chain and operations teams. Troubleshoot issues, identify risk areas and develop mitigation strategies.
- Drive efforts to improve efficiency, cycle times, reliability, predictability and on-time delivery.
- Communicate health, status and actions to stakeholders including Product Areas, management and partner organizations.
- Collaborate across organizational levels and boundaries.
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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.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
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.
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