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Salary
≈ $100k – $194k per year (Estimated)
Location
In office (Atlanta)
Seniority
Middle · 2+ years exp

Confirmed on the employer's own hiring board on Oct 9, 2026. First seen by Alion on Oct 7, 2026. Google scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Google is an American technology company founded in 1998 by Larry Page and Sergey Brin and now the principal subsidiary of Alphabet, headquartered in Mountain View, California. It operates the world's dominant search engine and the advertising system built around it, along with YouTube, Android, Chrome, Gmail, Maps, Workspace and Google Cloud, reaching billions of users across nearly every internet-connected market. The company designs its own silicon in the Tensor Processing Unit line, develops the Gemini foundation models through Google DeepMind, and derives most of its revenue from advertising while cloud has become its fastest growing segment.

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.

Behind every Google experience you know and love is the infrastructure that keeps it running. The teams leading Google Cloud AI Infrastructure require data, analytics, and AI to bring Google customers the experience they expect and deserve.

We are here to transform Google's global data center and logistics operations through the strategic use of AI and data analytics. As a Technical Program Manager, you will collaborate closely with engineering, operations, and product management teams to implement leading edge AI and data analytics that directly fuel efficiency gains and foster innovation. You will have ownership of the complete product lifecycle, encompassing data discovery, analysis, AI and data analytics solution development, and on-going governance.

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

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.

Responsibilities

  • Partner with functional Data Center (e.g., Server Operations) and Logistics teams to define AI and data analytics requirements and own the end-to-end technical execution.
  • Collaborate with Functional POCs and PgMs to drive project timelines, proactively manage constraints, and ensure transparent communication regarding progress and completion goals to customers.
  • Program manage the development of AI solutions, data pipelines, and decision-support systems to enhance the responsiveness and efficiency of Google’s infrastructure.
  • Drive the adoption of Google's best practices by creating comprehensive documentation, training, and webinars to empower the infrastructure organization with robust self-serve analytics.
  • Ideate and implement process improvement initiatives to optimize operations by increasing the velocity and quality of data solution delivery.

Qualifications

Minimum qualifications:

  • Bachelor's degree in a technical field, or equivalent practical experience.
  • 2 years of experience in program management.
  • Experience in supply chain management (e.g., infrastructure operations, supply chain operations, data center operations or manufacturing).
  • Experience with advanced data analytics/statistical analysis (e.g., SAP, SQL, dashboard creation).

Preferred qualifications:

  • 2 years of experience managing cross-functional or cross-team projects.
  • Experience driving AI or machine learning programs and utilizing data analytics to solve business problems.
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