Technical Program Manager - Cloud Machine Learning and Compute Services

As a Technical Program Manager at Google, you will lead complex, multi-disciplinary projects from start to finish. You will collaborate with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. Your role will involve explaining team analyses and recommendations to executives and discussing technical tradeoffs in product development with engineers. The Cloud ML Compute Services (MCS) team focuses on defining and driving the overall Cloud ML Compute IaaS and IaaS+ product offering and technical strategy. Your responsibilities will include automating complex cluster setups to remove bottlenecks, optimizing workload placement to mitigate slowdowns in distributed training, managing job queues, ensuring efficient resource allocation, and providing observability into all cluster components. Key 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. - Identify technical risks, manage project schedules, and communicate them clearly to project stakeholders. - Collaborate with engineering managers and TL to define the software qualification and rollout strategy. - Ensure alignment on operational priorities and customer needs by collaborating with engineering, product, and stakeholders. - Manage escalations and critical incidents, ensuring timely resolution and effective communication. Qualifications Required: