Minimum qualifications:

• Bachelor's degree in Business, Logistics, Operations, Engineering, a related field, or equivalent practical experience.
• 5 years of experience managing warehousing and supply chain operations.

Preferred qualifications:

• MBA or Master's degree in Business, Logistics, Operations, Engineering, or a related field.
• Experience in data center equipment environments or computer component manufacturing.
• Experience in forecasting, data modeling, production management, and data analysis across multiple asynchronous systems.
• Experience in problem-solving, third-party logistics vendor relationships, user documentation, and user training.
• Ability to travel up to 50% of time as needed.
• Excellent communication and problem-solving skills, with the ability to apply structured thinking, provide solutions, manage multiple changing priorities.

About the job

In this role, you will lead all end-of-life Reverse Materials Authorization (RMA) functions for our data centers in alignment and coordination with Google server operations managers, third-party labs, and global logistics operations. You will manage the planning and prioritization of work, exception management, and staffing forecasts to complete the work and attainment of key performance results for all reverse logistics RMA processes completed in North and South America. You will ensure all success blockers are precisely planned and escalated through cooperation and tenacity.

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 $105,000-$154,000 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

• Own the reverse logistics processes, Standard Operating Procedures (SOPs) and vendor training for Machine Learning (ML) platform hardware, including decommissioning, break-fix returns and outbound material movements for all data center sites in North and South America.
• Ensure Machine Learning (ML) platform hardware reverse logistics operations meet Service Level Objectives (SLO) across all sites in North and South America.
• Be responsible for process improvement, change management, standardization of reverse logistics processes for Machine Learning (ML) platforms.
• Partner with third-party centralized program teams to eliminate operational blockers and bugs that prevent the team from meeting Service Level Objective (SLO).