Technical Program Manager II, NPI Data Center Design, Cloud Supply Chain - Google
Product Manager
Experience managing data center constraints with the knowledge of data center physical layouts, infrastructure, and standards (power, space, cooling, operations and network).
About the role
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.
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.