Google

Program Manager II, Infrastructure Engineering, Google Cloud

Google Sunnyvale, California, United States · $132K–$189K/yr

Software Development · 10,001+ employees

5 h ago
Mid (2-5 yrs) Full-time United States
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About the role

Lead complex, multi-disciplinary infrastructure projects by managing requirements, schedules, and cross-functional stakeholders. Drive operational excellence and supply chain resiliency through process improvement and the application of AI to automate end-to-end workflows.

What they look for

Program management Project management Supply chain management Manufacturing NPI Risk mitigation Data analytics Data visualization Cross-functional leadership Hardware product launch Data center operations Operational excellence Lifecycle management AI automation Infrastructure engineering Communication

Requirements

Requires a bachelor's degree and at least 2 years of experience in program management and supply chain or manufacturing roles. Candidates should possess strong risk mitigation skills and experience with new product introductions in complex electronics.

Benefits

Bonus Equity Health Insurance

Full description

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 2 years of experience in program or project management.
  • 2 years of experience with manufacturing, supply chain management, or fulfillment planning and execution in a new product introduction (NPI) role.
  • Experience identifying, assessing, and mitigating operational supply chain, or manufacturing risks.

Preferred qualifications:

  • 5 years of project management experience launching new hardware products for complex electronics.
  • 2 years of experience managing cross-functional or cross-team projects.
  • 2 years of data center operations experience.
  • Proficiency in data analytics and data visualization.
  • Effective communicator of project requirements and schedules.

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 Program Manager at Google, you’ll lead complex, multi-disciplinary projects from start to finish — working with stakeholders to plan requirements, manage project schedules, identify risks, and communicate clearly with cross-functional partners across the company. Your projects will often span offices, time zones, and hemispheres. It's your job to coordinate the players and keep them up to date on progress and deadlines. In this role, you will be a Subject Matter Expert for large cross-functional initiatives. You will focus on operational excellence, time to market, end-to-end lifecycle management, and supply chain resiliency.

Our Platforms Infrastructure Engineering team designs and builds the hardware and software technologies that power all of Google's services. Our computational challenges are complex and unique, enabled by cutting-edge custom hardware designed and made in-house. Our Mechanical Product Design Engineering Team members work cross-functionally to design, build, and deploy the latest technology to support the needs of compute, storage, networking, and machine learning hardware.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $132000 - $189000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google. Responsibilities:

  • Develop, define, and lead top-level Objectives and Key Results (OKRs) in an ambiguous setting across Infrastructure Supply Chain, Manufacturing, and Engineering teams.
  • Identify and deliver on opportunities to develop new, integrate, or modify existing processes and tools to improve product availability, as well as supply chain scale, efficiency, reliability, and velocity.
  • Monitor and communicate progress, risks, and mitigations. Work closely with partner teams to manage program changes.
  • Provide guidance and disruptive leadership across Infrastructure Supply Chain and Manufacturing Operations.
  • Use AI to automate end-to-end processes, streamline coordination, accelerate program execution, and improve decision velocity and operational efficiency.