Technical Program Manager II, Compute Resource Planning, Google Research

Google Research advances the state-of-the-art in Computer Science and Artificial Intelligence to power Google's current and future products. Within Research, the Compute Planning Strategy & Operations (CPSO) team enables seamless scientific discovery and high-performance computing by delivering scalable compute resource infrastructure, automated allocation platforms, and capacity planning frameworks for researchers across Alphabet.

About the role

A problem isn’t truly solved until it’s solved for all. As a Technical Program Manager within the Research CPSO team, you will independently manage compute demand signaling, quota allocation cycles, and resource utilization for assigned Research verticals. Operating with minimal day-to-day supervision on a 1–2 quarter horizon, you will bridge the gap between Research Scientists, Engineering Leads, Product Area Resource Managers (PARMs), and Site Reliability Engineering (SRE). You're equally comfortable explaining analyses and recommendations to executives as you are discussing technical tradeoffs with engineers.

Responsibilities

• Run recurring compute resource planning and quota allocation cycles for assigned Research verticals, aligning capacity with research project milestones.
• Gather and analyze inorganic and organic compute demand signals from Research and Engineering teams, establishing data-backed growth forecasts and resource prioritization models.
• Design, automate, and maintain SQL-based dashboards and alerting systems (e.g., Plx/Dashboards) to track pool utilization, quota headroom, and capacity efficiency.
• Leverage AI and partner with Software Engineer and SRE teams to set up and enhance automated resource management tooling, optimizing scheduler queues to eliminate manual allocation workflows.
• Act as the primary operational liaison between Research Scientists, PARMs, and infrastructure partners, facilitating proactive communication on capacity availability and maintenance schedules.

Qualifications

Minimum qualifications

• Bachelor's degree in a technical field, or equivalent practical experience.
• 2 years of experience in program management.
• Experience with capacity planning.
• Experience with Data Analysis.

Preferred qualifications

• 2 years of experience managing cross-functional or cross-team projects.
• Experience querying structured datasets using SQL and developing operational dashboards for reporting and metrics tracking.
• Experience with compute resource provisioning, capacity allocation, or job scheduling/queueing systems.
• Experience working with large-scale distributed computing systems, container orchestration, or cluster scheduling environments (e.g., Kubernetes).
• Experience translating ambiguous stakeholder capacity requests into structured allocation models and data-backed forecasts.
• Experience driving process improvements and workflow automation across technical and research engineering teams.

Pay

Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $138,000 - $197,000 (USD) + 15% bonus target + equity + benefits.