Program Manager, Operational Efficiencies, Technical Infrastructure, Google Cloud
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Minimum qualifications:
- Bachelor's degree in Computer Science, or a related technical field, or equivalent practical experience.
- 8 years of experience in program management working on engineering infrastructure programs for data centers, including cross functional (e.g., finance, supply chain) experience.
- 8 years of experience in infrastructure and operations.
- Experience in portfolio management, including making tradeoffs between performance, efficiency, and business goals.
Preferred qualifications:
- Experience working across large cross-organizational portfolios and teams.
- Understanding of systems, processes, and infrastructure efficiency.
- Understanding of the areas of opportunity and metrics/challenges in scaling of operations for datacenters and infrastructure.
- Excellent program management skills, with the ability to drive cross-functional programs in the area of datacenters and operational efficiencies.
- Excellent investigative, problem-solving, negotiation and organizational skills with verbal and written communication and presentation skills with the ability to interact with both technical and non-technical audiences.
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.
In this role, the goal of the team is to deliver, in strong partnership with the Engineering and Operational verticals (Compute, Storage, ML, and Operations), measurable efficiencies for the Google fleet. You will drive resource efficiency and sustainability initiatives, and deliver towards company level Objectives and Key Results (OKRs) and sustainability goals. You will partner with the Engineering leads across several cross-functional stakeholders (Finance, Product Operations, etc) to deliver measurable and impactful efficiency and sustainability impact to Google.
The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.We're the driving team behind Google's groundbreaking innovations, empowering the development of our AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
The US base salary range for this full-time position is $174,000-$258,000 + 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
- Lead large cross-cutting programs within efficiency with an excellent focus on metrics, that deliver towards measurable impact and a more efficient use of resources in the Google fleet, and deliver towards Google's efficiency goals.
- Develop processes and tools, in partnership with the Engineering and Data Science teams, to measure top-level metrics for the portfolio of operational efficiency initiatives in AI and Infrastructure (AI2).
- Partner with Finance and key stakeholders in areas adjacent to efficiency to build auditable mechanisms to track and report impact at the company level, scaling the existing processes we have today.
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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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