Minimum qualifications:
- Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Operations Research, or a related quantitative field.
- 5 years of experience in developing and deploying Machine Learning models or AI-driven applications.
- 5 years of experience working in Java and Python.
- Experience with data science libraries (e.g., NumPy, pandas, scikit-learn, TensorFlow/PyTorch).
- Experience in leadership roles with/without direct reports.
Preferred qualifications:
- Experience in global supply chain operations, planning, or logistics, within the enterprise hardware or cloud infrastructure space.
- Experience with putting data science principles into practice, data quality assessment, statistical modeling, feature engineering, and data visualization.
- Familiarity with optimization techniques (e.g., linear programming, heuristic search) and simulation modeling.
About the jobGoogle's projects, like our users, span the globe and require managers to keep the big picture in focus while being able to dive into the unique engineering challenges we face daily. As a Technical Program Manager at Google, you lead complex, multi-disciplinary engineering projects using your engineering expertise. You plan requirements with internal customers and usher projects through the entire project lifecycle. This includes managing project schedules, identifying risks and clearly communicating them to project stakeholders. You're equally at home explaining your team's analyses and recommendations to executives as you are discussing the technical trade-offs in product development with engineers.
Using your extensive technical and leadership expertise, you manage various Engineering-specific programs and teams.Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Responsibilities
- Design, build, and prototype AI agents focused on optimizing key supply chain functions for cloud compute infrastructure (e.g., forecasting, capacity planning, demand sensing, component procurement, logistics, and reverse logistics).
- Collaborate with Data Science and Data Engineering teams to identify, clean, and structure the necessary supply chain data for use in ML and agent models.
- Lead, mentor, and grow a Technical Program Manager (TPM) team, fostering high-performance and collaboration. Manage hiring, performance, career development, and resource allocation.
- Create documentation, including technical specifications, model architecture, and model maintenance procedures to ensure a seamless and efficient transition of successful prototypes to production engineering teams.
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 .
