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

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.

Using your extensive technical and leadership expertise, you manage projects of various size and scope, identifying future opportunities, improving processes and driving the technical directions of your programs.

Chrome operates at a massive scale, and the underlying infrastructure that powers our innovation, Compute, Storage, TPU, is growing rapidly. As a Technical Program Manager for Chrome Infrastructure, you will play a critical role in establishing a centralized capacity management function to oversee our expanding hardware ecosystem and capital expenditure.

In this role, you will be the foundational TPM bridging Chrome's infrastructure needs with Google's broader capacity operations. You will step into a high-visibility, fast-moving environment to stabilize current compute and storage demands, establish unified TPU governance, and mitigate emergency funding requests. You will work closely with Site Reliability Engineering, Planning and Resource Management, Data Science, and Research Science teams to ensure our capacity allocations are data-driven, strategic, and highly efficient.

Chrome is dedicated to building a better, more open web. We’re focused on making a better browser (on both desktop and mobile) to help users take advantage of all the web has to offer in a safe and secure way.Chrome is available across all major platforms — iOS, Android, Windows, Mac, Linux and Chrome OS. We also built Chrome as an open source project so the entire web ecosystem could benefit from the latest innovations in speed, simplicity and security.

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

Learn more about benefits at Google.

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.

Minimum qualifications:

• 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.

Preferred 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.