Principal Technical Program Manager, ML Fleet Capacity/Demand
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Minimum qualifications:
- Bachelor's degree in Supply Chain Planning, Operations Research, Engineering, a related field, or equivalent practical experience.
- 15 years of experience in Cloud, Technical Infrastructure, or equivalent planning experience, or 10 years with a relevant advanced degree.
- Experience with Planning leadership in: server, power, data center, networking/networking planning, or machine delivery.
Preferred qualifications:
- Master’s or PhD degree in Supply Chain Planning, Operations Research, Engineering, AI or other technical related field, or equivalent practical experience
- Experience in planning transformation with complex systems, constraints, and building scalable enterprise solutions
- Experience with advanced analytics, reasoning, and AI enablement for decision making constructs like S&OP, multithreaded what-if scenario analysis, dynamic applications, and efficiency gains.
About the job
Google runs one of the largest computational fleets in the world, with compute, storage, networking and dedicated accelerators spread across all continents. We are always looking for ways to get from chip to serving faster, knitting together planning, constraints and optimization scenarios for networking, data center design and parallelization, machine deployment, to get the optimal capacity online in the shortest time.
As the Principal Technical Program Manager, you will be responsible for ensuring Google's ML Fleet resources are delivered in a speed-optimal way. You will understand the technical and constraint challenges of taking chips received from fabs around the world, and turning them into highly-connected ML supercomputers operating in large-scale data centers. Among other things, this means that you will be reviewing capacity planning programs and providing direction and decision-making in order to make sure that the usable ML capacity is maximized over the smallest delivery time horizon. You will knit together the seams of different technical, product, and financial organizations to help them produce a globally-optimal outcome for ML capacity.
In this role, you will utilize technical depth and breadth of planning skills from forecasting, independent and dependent demand planning, demand supply matching, constraint based planning, optimization, scenario analysis, and more. You will work closely with technical, engineering, Product Area, and planning teams across Data Center Construction, Networking, and Machine Delivery as well as policy makers and allocators in Capital Engineering and the Machine Learning Strategy and Allocations (MLSA) team.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
The US base salary range for this full-time position is $253,000-$363,000 + 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.
Responsibilities
- Set and deliver technical planning related programs for Google-level OKRs around ML capacity delivery into the fleet.
- Play a key role in overall portfolio management for existing ML capacity and related infrastructure.
- Support the development of the company’s global ML strategy and execution.
- Be responsible for a strategy that encompasses countries across three continents, growing at a rapid clip.
- Act as a key technical leader for Global Technical Infrastructure planning, engaging with other leaders across the region and globally.
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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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