Program Manager III, Supply Chain Machine Delivery, Technical Infrastructure

Sunnyvale, United States

Minimum qualifications:

Bachelor's degree or equivalent practical experience.
5 years of experience in program or project management.
Experience in supply chain planning, manufacturing, or data center operations.
Experience analyzing data and creating reports with spreadsheets.

Preferred qualifications:

5 years of experience managing cross-functional or cross-team projects.
4 years of experience in Supply Chain or operations.
Experience in client services engagement, with a passion for customer service.
Excellent communication skills with both highly technical and non-technical partners.
Excellent analytical, problem-solving, organizational, and project management skills, with attention to detail.
Passion for functioning in an ambiguous, evolving engineering operations environment.

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.

Machine Learning Supply Chain Operations (MLSCO) Delivery is accountable for the orchestration and enablement of compute, storage and machine learning builds from order creation, constraints enforcement, and infrastructure mapping through to Delivery. The team focuses on timely execution, exception management, efficient capacity utilization, transformation programs, and delivery policies to enable success for customers and Google.

As a Program Manager on the MLSCO Machine Delivery team, you will manage strategic and tactical cross-functional programs critical to the delivery of compute and storage capacity. In this role, you will improve efficiency, predictability, and on-time delivery of resources, directly impacting the success of Google's internal and external customers.You will manage cross-functional projects in resource planning and delivery in a ML and general compute and storage infrastructures. You will work with Google’s Product Areas and be accountable for a smooth order lifecycle, culminating in on-time delivery of capacity resources.

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 $147,000-$216,000 + 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

Drive efforts to improve efficiency, cycle times, reliability, predictability, and on-time delivery.
Own on-time delivery performance of compute and storage capacity.
Communicate health, status, and actions to stakeholders including Product Areas, management, and partner organizations.
Collaborate across organizational levels and boundaries.
Oversee and ensure execution and delivery of plans and strategies. Troubleshoot issues, identify risk areas, and develop mitigation strategies.

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 Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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