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Google
Atlanta, Georgia, United States
(on-site)
Posted
18 hours ago
Google
Atlanta, Georgia, United States
(on-site)
Job Type
Full-Time
Technical Program Manager III, Capacity Constraints Management, Cloud Supply Chain
The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it.
Technical Program Manager III, Capacity Constraints Management, Cloud Supply Chain
The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it.
Description
Minimum qualifications:- Bachelor's degree in a technical field, or equivalent practical experience.
- 5 years of experience in program management.
- Experience with data center infrastructure like power, networking, and cooling.
- Experience with AutoCAD or Revit.
Preferred qualifications:
- 5 years of experience managing cross-functional or cross-team projects.
- Experience with colocation capacity planning, including the use and automation of planning and optimization tools.
- Experience with new product introduction (NPI) process and product life cycle (PLC) as related to hardware products for machine learning and high-performance computing.
- Excellent program management skills, with the ability to coordinate deployments and roadmaps across multiple stakeholders.
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.
In this role, you will help the team plan the future of Google's ML and accelerator deployments. As the Technical Program Manager, you will help with new product enablement focused on the deployability of new products and the server floor designs required to facilitate them.
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 $156,000-$229,000 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
- Support the delivery of projects, managing data center constraints (e.g., power, space, cooling, operations, and network) in colocation data center deployments.
- Create and manage physical layouts and standards, including the deployment impact and feasibility of NPIs. Define and manage tooling requirements for planning and delivery.
- Own and support relationships between cross-functional teams, track deployment workflows with partner teams, and raise issues to ensure on-time follow-through.
- Influence the development of new products (NPI) and colocation server floor design decisions, focused particularly on upcoming fleetwide transitions in the ML and accelerators space.
- Drive the development of new tools and decision-making frameworks for optimizing fleet life-cycle.
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Requisition #: 114166562000118470
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Job ID: 82741537
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