Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Council Bluffs, IA, USA; Atlanta, GA, USA; New Albany, OH, USA; Las Vegas, Nevada, USA; Lenoir, NC, USA; Moncks Corner, SC 29461, USA; Pryor Creek, OK 74361, USA; Bridgeport, AL, USA; Austin, TX, USA.Minimum qualifications:

• Bachelor's degree in a related field, or equivalent practical experience.
• 2 years of experience managing projects.
• Experience working in data center operations.
• Experience working with product quality.
  
  

Preferred qualifications:

• 2 years of experience managing cross-functional or cross-team projects.
• Experience with Artificial Intelligence or Machine Learning.
  
  

About The Job

In this role, you will work with Technical Leads, Engineering, Supply Chain, Data Center Operations, and other contributors and stakeholders to define quality goals, monitor metrics, initiate corrective and preventative actions as needed, and regularly report quality status to leadership and cross functional teams.

The US base salary range for this full-time position is $132,000-$189,000 + 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 Machine Learning (ML) or Networking New Product Introductions.
• Set quality goals, track key quality, and reliability metrics.
• Work with stakeholders to meet or exceed quality goals.
• Guide data analysis effort in support of quality goals. Work with analytics and engineering teams.
• Partner with Supply Chain, Logistics, Server Operations, Reliability and Product and Supplier Quality teams to drive quality initiatives.
  
  
  

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .