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

Google Cloud is seeking a Senior Technical Program Manager I to lead machine learning initiatives within their cloud platforms division. This role combines technical expertise in machine learning with program management excellence to drive critical projects that shape the future of Google Cloud's ML capabilities.

The position offers an attractive compensation package ranging from $183,000 to $271,000, plus bonus, equity, and comprehensive benefits. Based in prime tech hubs (Kirkland, Mountain View, or Sunnyvale), this role provides an opportunity to work at the forefront of cloud and machine learning technology.

As a Technical Program Manager, you'll be responsible for implementing communication standards, establishing program review cadences, and leading governance structures that drive executive decision-making. The role requires a strong background in both program management and machine learning, with 8 years of experience in each domain.

Google Cloud serves customers in over 200 countries, providing enterprise-grade solutions that leverage cutting-edge technology. The ideal candidate will combine technical depth with program management expertise to lead complex, multi-disciplinary projects from inception to completion. You'll work with stakeholders across the organization, managing requirements, identifying risks, and ensuring effective cross-functional collaboration.

This role offers the unique opportunity to impact Google Cloud's machine learning initiatives while working with some of the industry's brightest minds. You'll be part of a team that's committed to solving problems for all users, creating opportunities globally, and driving digital transformation across industries. The position requires excellent communication skills, as you'll be interfacing with executives and technical teams alike.

Google's commitment to diversity, equity, and inclusion means you'll be part of a culture that values different perspectives and fosters belonging. The company offers comprehensive benefits and supports work-life balance, making it an attractive destination for talented professionals looking to make a significant impact in the field of machine learning and cloud computing.