Senior Technical Program Manager I, Machine Learning, Google Cloud Platforms

Implement communications standards across a portfolio of programs including executive and key partner communications. Establish a reliable and visible cadence for program reviews, decision-making, prioritization, and Resource Stewardship (effective deployment of machine and people resources) whereby improvements such as efficiency and utilization gains are measurable and the impact can be felt organization wide. Lead a governance structure that drives effective executive decision-making. Ensure governance structure effectively exposes and mitigates dependencies. Seek out and identify change management opportunities that increase program velocity and which affect multiple teams. Define/manage a program portfolio solving problems that target high business impact for the organization and product area.Minimum qualifications:Bachelor's degree in a relevant field, or equivalent practical experience.8 years of experience in program management. 8 years of machine learning work experience.Preferred qualifications:8 years of experience managing cross-functional or cross-team projects.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. The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world. We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $192000 - $279000 (USD) + 20% bonus target + equity + benefitsLearn more about benefits at Google.The application window will be open until at least July 29, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Boulder, CO, USA; New York, NY, USA.