Technical Program Manager III, Data Center Design, Technical Infrastructure
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Minimum qualifications:
- Bachelor's degree in a technical field, or equivalent practical experience.
- 5 years of experience in program management.
- Experience with data center physical infrastructure design, construction, or deployment.
- Experience working at a cloud hyperscaler.
Preferred qualifications:
- 5 years of experience managing cross-functional or cross-team projects.
- Experience scoping, phasing, and leading cross-organizational infrastructure programs, analyzing CAD/BIM floorplans, and managing space, power, and cooling constraints in mission-critical environments.
- Experience structuring ambiguous, long-horizon engineering programs into clear milestones and repeatable, scalable workflows that enable junior team members to execute effectively.
- Experience with spatial layout and CAD/BIM tools (e.g., AutoCAD, Revit, Bluebeam) and advanced fluency in applying AI/ML technologies and workflow automation.
- Advanced domain expertise in data center physical infrastructure systems including medium/low-voltage power distribution (overhead busways, tap-off boxes, UPS), liquid cooling architectures (CDUs, secondary fluid manifolds), and structured optical fiber cabling/conveyance.
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.
The Capacity and Constraints Management organization is the physical-to-logical translation engine for Google's planet-scale compute, storage, networking, and AI/ML infrastructure. Being at the intersection of hardware architecture, data center facility engineering, network fabric planning, and construction execution, we design and govern the server hall layouts that power Google Search, YouTube, Google Cloud, and Gemini.
In this role, you will own process definition, feasibility assessments, and rapid response to challenges involving the physical layout engineering and technical program execution of Google's data centers from initial design kickoff through construction completion and final installation readiness. You will apply AI-driven automation to complex spatial planning workflows, and translate power distribution, liquid/air cooling, structural loading, and optical networking topologies into high-density server hall rack layouts and digital spatial models, enabling gigawatts of next-generation AI/ML and cloud capacity to land on schedule with first-time-right engineering quality.
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: $163000 - $236000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Lead cross-organizational physical server hall layout programs for data center builds from initial feasibility through construction and installation readiness.
- Direct cross-functional engineering reviews across Mechanical, Electrical, and Plumbing (MEP), structural loading, power distribution, liquid cooling, and fiber conveyance to resolve spatial trade-offs and de-risk dependencies before deployment.
- Drive organizational change management and technical pivots for in-flight ML design updates and retrofits by authoring layout packages and standardizing repeatable workflows for junior team members.
- Align executive stakeholders across Capacity Planning, Network Deployment, Facility Engineering, and Supply Chain on multi-year roadmaps, cluster sequencing, and escalation resolution.
- Establish program governance frameworks and leverage AI/ML technologies to automate spatial planning, risk tracking, and layout validation workflows across regional teams.
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