Strategic TPM: Capacity & Infra for Ad Tech

Google LLC; Mountain View (CA); On-site; USD 150,000 - 195,000; Full time

Job summary

Google LLC in Mountain View, CA is seeking a Technical Program Manager II for Capacity Planning within Google Ads. You will lead cross-functional programs from design to delivery, coordinating with engineering, product, and infrastructure teams.

You will plan requirements, identify risks, manage schedules, and communicate with executives, while optimizing resource allocation, accelerators, and ML infrastructure. The role emphasizes scalable governance and collaboration across the Ads ecosystem.

Qualifications

• Bachelor's degree in a technical field or equivalent practical experience.
• 2 years of experience in program management.
• Experience in capacity planning.
• Experience with display ads.
• 2 years of experience managing cross-functional or cross-team projects.
• Experience with accelerators and auxiliary infrastructure.

Responsibilities

• Work with engineering teams to understand their resource profile and create a business and technical roadmap/plan to meet requirements.
• Partner closely with key stakeholders including engineering teams regarding resource planning.
• Manage communications and escalations related to Google compute and machine learning resource allocation.
• Manage multiple interdependent projects of moderate to high complexity and scope. Use technical judgment to drive project delivery, technology reviews, challenge proposals and build consensus.
• Monitor, measure, and communicate project progress, potential risks and delays and team performance to program teams, executives and other sponsors.

Skills

Program management

Capacity planning

Display ads

Cross-functional projects

Accelerators

Auxiliary infrastructure

Education

Bachelor's degree in a technical field

Job description

Google LLC in Mountain View, CA is seeking a Technical Program Manager II for Capacity Planning within Google Ads. You will lead cross-functional programs from design to delivery, coordinating with engineering, product, and infrastructure teams.

You will plan requirements, identify risks, manage schedules, and communicate with executives, while optimizing resource allocation, accelerators, and ML infrastructure. The role emphasizes scalable governance and collaboration across the Ads ecosystem.