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 various Engineering-specific programs and teams.

In this role, you will be responsible for leading a geographically distributed team of skilled engineers instrumental in delivering and supporting Google's networking infrastructure across various data center metros. You will lead the physical deployment of infrastructure, focusing on velocity, eliminating toil, and meeting dynamic cycle time goals to build capacity that serves internal and enterprise customers. You will drive scalability, governance, and consistent delivery against Service Level Agreements (SLAs) while ensuring operational safety and a premium customer experience.

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 $240,000-$334,000 + 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

• Execute the goal for North America Network Delivery Implementation (NDI) Field Engineering as a global technical authority, driving alignment within key leadership forums.

• Lead and mentor a geographically dispersed team across major North American metros, fostering a high-trust culture and developing high-potential engineers for future roles.

• Advocate for AI-driven tools and continuous process innovation to optimize field engineering workflows, enhance quality, and accelerate project delivery.

• Mitigate risks during activities, such as fiber duct bank cut-overs, while enforcing strict campus security and bio-metric access protocols.

• Leverage objective metrics (SLAs/SLOs) to optimize performance while collaborating cross-functionally with Net Ops, WAN, and Planning to streamline site access and standardize execution.

Minimum qualifications

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

• 10 years of experience in program management.

• 7 years of experience in leadership role with/without direct reports.

Preferred qualifications

• 10 years of experience in field engineering leadership within the telecom industry.

• 5 years of experience in leading field teams.

• Knowledge of IP/MPLS, optical transport, and data center networking, integrated with generative AI fluency.

• Ability to implement Lean or Six Sigma methodologies to drive operational efficiency and scale.

• Ability to translate business objectives into actionable long-term strategies while managing geographically distributed teams.

• Excellent collaboration, communication, and people management skills, with a focus on building stakeholder relationships and leading cross-functional initiatives across all levels.