About the job

Google's projects, like our users, span the globe and require managers to keep the big picture in focus while being able to dive into the unique engineering challenges we face daily. As a Technical Program Manager at Google, you lead complex, multi-disciplinary engineering projects using your engineering expertise. You plan requirements with internal customers and usher projects through the entire project lifecycle. This includes managing project schedules, identifying risks and clearly communicating them to project stakeholders. You're equally at home explaining your team's analyses and recommendations to executives as you are discussing the technical trade-offs in product development with engineers.

Using your extensive technical and leadership expertise, you manage projects of various size and scope, identifying future opportunities, improving processes and driving the technical directions of your programs.

As the Data Center NPI Technical Program Manager, you will lead the introduction of new hardware and infrastructure products into Google's data centers. You will own the operational work-streams within the product life-cycle, ensuring new technologies can be deployed, operated, and serviced efficiently and safely.

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.

The US base salary range for this full-time position is $132,000-$189,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Lead the operational aspects of NPI programs through all product life-cycle (PLC) phases.

• Define and drive requirements for serviceability, deployability, and maintainability of new products in the data center environment while acting as the primary liaison between engineering design teams and data center operations teams.

• Understand product designs, assess risks, and contribute to technical problem-solving including resolving hardware/software issues during NPI phases.

• Build and lead cross-functional program teams, ensuring alignment on goals and responsibilities.

• Identify potential risks to program success (e.g., technical, schedule, operational), as well as drive root cause analysis and corrective actions for issues arising during NPI.

Minimum qualifications

• Bachelor's degree in a technical field, or equivalent practical experience.

• 2 years of experience in program management.

• Experience with product life-cycle in the data center hardware space.

• Experience supporting data centers and system-level new product introductions (NPI).

Preferred qualifications

• 2 years of experience managing cross-functional or cross-team projects.

• Experience in data center operations, infrastructure management, or a similar technical domain.

• Experience with hybrid cloud architectures and public cloud providers.

• Knowledge of data center infrastructure components (e.g., servers, machine learning, storage, power, cooling) and their interdependencies in the context of new technology integration.