Program Manager I, Supply Chain Machine Delivery, Technical Infrastructure

Minimum qualifications:

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

Preferred qualifications:

• 4 years of experience in Supply Chain or operations.
• Ability to work with increasing levels of responsibility and independence.
• Excellent communication skills with both 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.

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 build diversity, equity, and inclusion into our work and we aim to cultivate a sense of belonging throughout the company.

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.

In this role, you will lead multi-disciplinary projects, define requirements with internal customers, and usher projects through the entire project lifecycle. You'll also manage project schedules, identify risks, and clearly communicate goals to project stakeholders.

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 $99,000-$145,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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.

• Own on-time delivery performance of order management tasks.
• Oversee and execute tasks to enable order validation, approval of deployment plans, troubleshooting issues, identifying risk areas, and developing mitigation strategies.
• Lead ownership and drive resolution for exception management situations, even when outside of direct scope.
• Drive efforts to improve delivery efficiency, cycle times, reliability, and predictability.
• Enable sub-linear scaling by automating manual tasks while maintaining or improving delivery performance.