Technical Program Manager, Machine Learning Compute Resources

Minimum qualifications:

• Bachelor's degree in a technical field, or equivalent practical experience.
  
• 8 years of experience in program management.
  
• 8 years of experience in program management foundations with written and verbal communication.
• 8 years of experience identifying process improvements and quantifying impact.

Preferred qualifications:

• Experience with machine resource provisioning, allocating, or queueing/scheduling systems.
• Experience in Leadership performing data analysis, building metrics systems, and tooling.
• Ability to track using accounting-based principles or capacity planning methods.
• Ability to interact with technical and non-technical groups.

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.

The US base salary range for this full-time position is $168,000-$252,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

• Develop and rollout operational processes and tools for compute resources based on practices and feedback from Product Group stakeholders and users. Coordinate implementation timelines and communications with stakeholders.
• Establish metrics to inform planning decisions and measure efficiency and utilization, including reporting and alerting.
• Configure technical resource management automation tools. Troubleshoot errors in various infrastructure platforms.
• Produce user guides, process documentation, and other forms of educational resources.
• Collect inorganic demand signals from Engineering teams and clarify the prioritization of machine allocations. This may include working with Site Reliability Engineering (SRE) and establishing a formal process for forecasting growth.