Technical Program Manager II, Capacity Planning, Google Ads

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

Technical Program Manager II, Capacity Planning, Google Ads

corporate_fare Google place Mountain View, CA, USA

• 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.

Preferred qualifications:

• 2 years of experience managing cross-functional or cross-team projects.
• Experience with accelerators and auxiliary infrastructure.

About the job

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 team covers the App Ads, Google Display Ads and Display technical Infrastructure teams. The team is responsible for managing predictable programs for Display and App Ads, ensuring low-friction execution, efficiently managing resources and investments, and helping teams plan for the future. In this role, you will help in driving the governance, operations, and optimization of infrastructure capacity. You will be instrumental in ensuring the efficient allocation, utilization, and agile redistribution of scarce compute units/ML resources (accelerators and auxiliary infrastructure) across all Display teams.

Google Ads is at the forefront of AI innovation, applying cutting-edge machine learning and Generative AI models like Gemini to power a multi-billion dollar global business.

Our work directly impacts billions of users by protecting users from harm, improving ad quality, and optimizing campaigns for advertiser return-on-investment. We foster a culture of deep collaboration, partnering closely with teams like Google Research and DeepMind to solve complex challenges. Join us to work on state-of-the-art AI, take on problems at an unparalleled scale, and build the next generation of advertising technology.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

About the job

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 team covers the App Ads, Google Display Ads and Display technical Infrastructure teams. The team is responsible for managing predictable programs for Display and App Ads, ensuring low-friction execution, efficiently managing resources and investments, and helping teams plan for the future. In this role, you will help in driving the governance, operations, and optimization of infrastructure capacity. You will be instrumental in ensuring the efficient allocation, utilization, and agile redistribution of scarce compute units/ML resources (accelerators and auxiliary infrastructure) across all Display teams.

Google Ads is at the forefront of AI innovation, applying cutting-edge machine learning and Generative AI models like Gemini to power a multi-billion dollar global business.

Our work directly impacts billions of users by protecting users from harm, improving ad quality, and optimizing campaigns for advertiser return-on-investment. We foster a culture of deep collaboration, partnering closely with teams like Google Research and DeepMind to solve complex challenges. Join us to work on state-of-the‑art AI, take on problems at an unparalleled scale, and build the next generation of advertising technology.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $138000 - $197000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google .

• 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.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

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Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.