Technical Program Manager II, Infrastructure and Capacity, Platforms and Devices

About the role

Google's projects, like our users, span the globe and require managers to keep the big picture in focus while being able to dive into the unique engineering challenges we face daily. As a Technical Program Manager at Google, you lead complex, multi-disciplinary engineering projects using your engineering expertise. You plan requirements with internal customers and usher projects through the entire project lifecycle. This includes managing project schedules, identifying risks and clearly communicating them to project stakeholders. You're equally at home explaining your team's analyses and recommendations to executives as you are discussing the technical trade-offs in product development with engineers.

Responsibilities

• Lead the consolidation of Chrome’s hardware capacity ecosystem, creating a centralized, scalable function to oversee significant capital expenditure (CapEx) and resource allocation and drive strategic optimization of our technical infrastructure strategy.
• Provide tactical emergency oversight for immediate compute and storage escalations, and develop sustainable processes that reduce the need for emergency funding requests.
• Serve as the primary liaison between Chrome Program Manager/Engineer and SRE, PARM, actively transitioning and scaling existing workflows to establish a dedicated, timezone-aligned support model for infrastructure operations.
• Serve as an organizational team multiplier for Chrome's data science team. Help translate data insights into faster executive action, standardize infrastructure and improve coordination across engineering and product.

Requirements

• Bachelor's degree in a technical field, or equivalent practical experience.
• 2 years of experience in program management.
• Experience in technical program management managing cross-functional programs within technical infrastructure, data science, or engineering productivity domains.
• Experience in capacity planning or resource management.
• Experience utilizing data analytics or data science methodologies to drive business critical decision-making.

Qualifications

• 2 years of experience managing cross-functional or cross-team projects.
• Experience managing technical programs within Machine Learning (ML) infrastructure, specifically involving Tensor Processing Units (TPUs), large-scale storage systems, or cloud hardware operations.
• Experience in infrastructure management, capacity planning, cloud operations, or working directly with Site Reliability Engineering (SRE) teams.

Skills

• Technical expertise in program management and infrastructure management.
• Strong communication and leadership skills.
• Data analysis and interpretation skills.
• Ability to manage multiple projects simultaneously.
• Experience with cross-functional teams and stakeholder management.

Benefits

Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $138000 - $198000 (USD) + 15% bonus target + bonus + equity + benefits

Pay

US: $138000 - $198000 (USD)

Schedule

N/A