Technical Program Manager, Efficiency Metrics
at Alphabet
Posted 13 hours ago
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- Compensation
- $183,000 – $271,000 USD
- City
- Not specified
- Country
- United States
Currency: $ (USD)
As Technical Program Manager, Efficiency Metrics at Google, you will lead cross-functional programs focused on measuring and improving resource efficiency across Google's data centers and AI infrastructure. You will partner with Engineering, Data Science, Finance, and operations to define top-level metrics, manage complex multi-team initiatives, and communicate findings to executives. The role emphasizes ownership of outcomes, solving ambiguous problems, and driving impactful efficiency initiatives for compute, storage, and ML hardware/software resources.
Technical Program Manager, Efficiency Metrics
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Minimum qualifications:
- Bachelor's degree in a technical field, or equivalent practical experience.
- 8 years of experience in program management.
Preferred qualifications:
- 8 years of experience managing cross-functional or cross-team projects.
- Understanding of the areas of opportunity and metrics/challenges in utilization and efficiency of the infrastructure.
- Excellent program management skills, with the ability to successfully drive and land complex cross-functional programs, in the area of compute, storage, and ML hardware/software resource efficiency programs for the data center.
- Excellent verbal and written communication and presentation skills, with the ability to interact with both technical and non-technical audiences
- Strong problem-solving, negotiation and organizational 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 Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers.
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 force behind Google's groundbreaking innovations, empowering the development of our cutting-edge 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 $183,000-$271,000 + 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 programs within efficiency with a strong focus on metrics, that deliver towards measurable impact and a more efficient use of resources in the Google fleet, and deliver towards Google's 2030 sustainability goals.
- Develop processes and tools, in partnership with the Engineering and Data Science teams, to measure top-level metrics for the portfolio of efficiency and sustainability initiatives in AI2.
- Partner with finance and key stakeholders in areas adjacent to efficiency to build robust and 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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