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Technical Program Manager II, NPI Data Center Design, Cloud Supply Chain
GoogleLos Angeles, CA, USA2+ years
Apply Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Atlanta, GA, USA; Lithia Springs, GA, USA; Council Bluffs, IA, USA; New Albany, OH, USA; The Dalles, OR, USA; Las Vegas, NV, USA; Moncks Corner, SC, USA; Pryor Creek, OK, USA; Bridgeport, AL, USA.
Minimum qualifications:
- Bachelor's degree in a technical field, or equivalent practical experience.
- 2 years of experience in program management.
- Experience with data center infrastructure like power, networking, and cooling.
- Experiencing managing the hardware New Product Introduction (NPI) life-cycle.
Preferred qualifications:
- 2 years of experience managing cross-functional or cross-team projects.
- Experience with New Product Introduction (NPI) process and Product life-cycle (PLC) as related to hardware products for machine learning and high-performance computing.
- Experience managing data center constraints with the knowledge of data center physical layouts, infrastructure, and standards (power, space, cooling, operations and network).
- Experience with data center, networking and machine deployments, including in-depth understanding of deployment process and the ability to drive tools and automation for continuous process improvement.
- Excellent program management skills with the ability to co-ordinate 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.
As a part of the team, you will be focused on aligning new products and technical infrastructure interface roadmaps to enable fast, predictable and optimized deployment of heterogeneous machines for all product areas across Google’s Data Center and third-party fleet. You will ensure that every machine tech is optimally deployable across the fleet with touchless space, power, network, and cooling planning and accomplish this by influencing products (optimize utilization of tech infrastructure), influencing ecosystems (tools and processes for predictability), and shaping infrastructure (new server floor designs).
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.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $138000 - $197000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Manage project delivery while addressing data center constraints (e.g., power, space, cooling, operations, and network) in colocation data center deployments.
- Design and manage physical layouts, standards, and tooling requirements including assessment of deployment impact and feasibility of NPIs for planning and delivery.
- Build 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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