Please submit your resume in English - we can only consider applications submitted in this language. Only applications of candidates with Mexican citizenship will be evaluated for this role in compliance with the provisions of Article 7 of the Federal Labor Law. Minimum qualifications: + Bachelor's degree or equivalent practical experience. + 2 years of experience in program or project management. + Experience with Supply Chain operations in data center deployments, manufacturing, procurement, commodity management, or supplier management. Preferred qualifications: + MBA or Master's degree in a related technical field or equivalent practical experience. + Experience in machine learning capacity delivery. + Experience with SQL and dashboards. + Ability to communicate with technical and non-technical partner teams. + Excellent analytical, problem-solving, negotiation, and organizational skills. + Passion for functioning in an ambiguous and evolving engineering operations environment. 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. The Machine Learning Supply Chain and Operations team is responsible for driving optimal fulfillment and transforming Google’s ML fleet by balancing and shaping demand intent from Product Areas, deployment decisions for new technology, and supply capability across data centers, networking, and machines. In this role, you will manage cross-functional projects in resource planning and delivery in a computing infrastructure. + Drive efforts to improve efficiency, cycle times, reliability, predictability, and on-time delivery. + Own on-time delivery performance of Machine learning GPU's. + Communicate health, status, and actions to stakeholders including Product Areas, management, and partner organizations. + Collaborate across organizational levels and boundaries. + Oversee and ensure execution and delivery of plans and strategies, and troubleshoot issues, identify risk areas, and develop mitigation strategies. 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 https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.