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Technical Program Manager, ML Efficiency
GoogleShanghai, China8+ years
Apply 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.
- Experience in machine learning platforms and systems with knowledge of design and deployment of these systems and a strong understanding of the software stack for ML platforms.
- Excellent program management skills, with the demonstrated ability to successfully drive and land complex cross-functional programs, preferably in the area of hardware/software efficiencies 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.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $192000 - $278000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Refine and translate complex technical performance metrics into clear, top-level business outcomes and auditable efficiency savings, and launch tooling and automated dashboards for efficiency metrics.
- Lead comprehensive strategic planning cycles to develop high-impact, forward-looking operational efficiency roadmaps.
- Operationalize structured engagement cadences with key cross-functional teams to streamline execution across the unified framework.
- Partner with key teams (e.g., Finance, MLSA) etc to ensure the metrics defined and tracked translate into business outcomes for Google.
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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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