Senior ML Program Manager – Cloud AI

Google; Boulder (CO); On-site; USD 167,400 - 279,000; Full time

Job summary

Google is seeking a Senior Technical Program Manager I for Machine Learning within Google Cloud Platforms. Based in Boulder, CO or New York, NY, you will lead complex, multi-disciplinary programs from inception to delivery, collaborating with engineers, data scientists, and product teams.

You will plan requirements, identify risks, manage schedules, and communicate clearly with executives and cross-functional partners, driving high-impact ML infrastructure initiatives across Google Cloud.

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.

Responsibilities

• 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.

Skills

Program management

Machine learning

Stakeholder management

Communication

Cross-functional collaboration

Education

Bachelor's degree

Tools

Google Cloud Platform

Job description

Google is seeking a Senior Technical Program Manager I for Machine Learning within Google Cloud Platforms. Based in Boulder, CO or New York, NY, you will lead complex, multi-disciplinary programs from inception to delivery, collaborating with engineers, data scientists, and product teams.

You will plan requirements, identify risks, manage schedules, and communicate clearly with executives and cross-functional partners, driving high-impact ML infrastructure initiatives across Google Cloud.