Technical Program Manager, Cloud ML Compute Services

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in program management.

Preferred qualifications:

• Experience working with field teams such as Field Sales Representatives, Customer Engineers, Technical Account Manager, Professional Services Organization to drive customer success.
• Experience working with engineering, product, and customer-facing teams.
• Experience developing and maintaining operational metrics and tracking key performance indicators.
• Experience in technical program management, primarily in a cloud or infrastructure domain.
• Ability to manage escalations and critical incidents.

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 Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll 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.

Our goal is to build a Google that looks like the world around us — and we want Googlers to stay and grow when they join us. As part of our efforts to build a Google for everyone, we build diversity, equity, and inclusion into our work and we aim to cultivate a sense of belonging throughout the company.

We are looking for a Technical Program Manager to join the Cloud Accelerators Technical Program Management team to provide Program Management support for the AI Infra Ninja team and run their Operations.

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.

• Own the operational cadence for AI Infra Ninjas, including resource allocation, on-call rotations, knowledge base management, and tooling.
• Develop and maintain operational metrics to track the efficiency and effectiveness of customer Point of Contact (POC) and onboarding driven by the AI Infra Ninja team.
• Collaborate with engineering, product, and other stakeholders in Cloud ML Compute Services (CMCS) to ensure alignment on operational priorities and customer needs.
• Oversee knowledge management efforts, ensuring up-to-date documentation, training materials, and knowledge base articles.
• Develop and maintain operational metrics to track the efficiency and effectiveness of customer POC and onboarding driven by the AI Infra Ninja team.