Technical Program Manager - Cloud Machine Learning and Compute Services

Technical Program Manager, Cloud ML and Compute Services Minimum qualifications: Bachelor's degree in a technical field, or equivalent practical experience. 5 years of experience in program management. Preferred qualifications: 5 years of experience managing cross-functional or cross-team projects. Familiarity with network, compute and storage at scale. Proficiency in software and data center hardware. Knowledge of software development processes. Understanding of data center terminology and operations. About the job A problem isnt truly solved until its solved for all. Thats why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, youll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. Youll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers. The Cloud ML Compute Services (MCS) team defines and drives the overall Cloud ML Compute IaaS and IaaS+ product offering and technical strategy. We enable our customers with the best AI/ML Infra in the world for talent powered by TPUs, GPUs. As a Technical Program Manager, you will remove the bottleneck of complex cluster setup through automation, so AI/ML researchers and engineers, cloud architects, and IT admins can focus on their end goals rather than configuration. You will mitigate slowdowns in distributed training through optimized workload placement and understanding of physical data center networks. You will manage job queues and ensure efficient resource allocation through its managed Slurm environment. You will provide observability into all cluster components and an evolving topology view for cluster health. Google Cloud accelerates every organizations ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Googles 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 Manage the Product Development Cycle (PLC) for products that simplify the deployment and management of high-performance computing (HPC) and AI/ML clusters on Google Cloud (e.g., cluster director and cluster toolkit). Manage project schedules, identify technical risks and clearly communicate them to project stakeholders. Collaborate with engineering manager and TL to define the software qualification and rollout strategy. Collaborate with engineering, product, and stakeholders to ensure alignment on operational priorities and customer needs. Manage escalations and critical incidents, ensuring timely resolution and effective communication. Experience Level Mid Level .