senior software engineering Technical Program Manager ic Master's · Posted Jul 10, 2026
$192,000 – $279,000
USD per year

About this role

Google is hiring a senior-level Technical Program Manager in the software engineering function based in Addison, TX | Atlanta, GA | Thornton, CO. The posting calls out experience with GCP, Networking, Vertex AI. Listed education preference: a master's degree or equivalent. Compensation is listed at $192,000–$279,000 per year.

Role
Technical Program Manager
Function
software engineering
Level
senior
Track
Individual contributor
Employment
Full-time
Location
Addison, TX | Atlanta, GA | Thornton, CO
Education
Master's degree
Posted
Jul 10, 2026
AI Summary
Lead complex, multi-disciplinary AI and infrastructure projects from planning through execution. Use technical expertise to manage schedules, identify risks, and communicate with cross-functional stakeholders and executives. Implement AI technologies within delivery environments and drive organizational transformation.

Job description

from Google careers

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.

The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

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

US: $192000 - $279000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

  • Implement and carry out the defined Edge Security strategy.
  • Maintain ownership of the documented strategies for AI tooling and proactive program management.
  • Drive the execution of the AI tooling and proactive program management initiatives.
  • Establish and manage a collaboration framework with cross-functional technical teams for strategic initiatives, including organizing communities and meetings.
  • Deliver on specific strategic programs aimed at improving on-time delivery (OTD), quality, and efficiency.

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience leading engineering or program management functions within the data center, networking, or telecommunications sectors.
  • Experience in the field of network infrastructure security.
  • Experience with the adoption of AI technologies within a delivery environment.
  • Experience in leading organizational transformation and managing change.
  • Experience in transforming historical project data and lessons into program management systems.

Preferred qualifications:

  • Master’s degree or MBA in Business, Operations, or Engineering, or a relevant field.
  • Experience deploying technical infrastructure on a global scale.
  • Experience upscaling an organization through best practices, horizontal process alignment, and identifying process gaps.
  • Capacity to maintain a strategic mindset while executing tasks with a high sense of urgency.
  • Ability to perform technical deep-dives into the design specifications of complex networks.

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