Lead Technical Program Manager, Engineering Innovation - New York, NY, USA
12 hours ago
Job description
Minimum qualifications:
- Bachelor's degree in a technical field, or equivalent practical experience.
- 10 years of experience in technical program management, leading projects.
- 10 years of experience in telecommunications, network infrastructure or outside plant design and construction.
Preferred qualifications:
- Experience in financial management (e.g., project budgeting and cost-benefit analysis).
- Understanding of fiber optic network design and interfacility connections.
- Ability to manage multiple priorities in an ambiguous and changing operational environment.
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.
As a Lead Technical Program Manager you will drive the execution and global delivery of Google's critical network infrastructure. You will support and assist a team of Technical Program Managers to acquire and deploy dark fiber and leased capacity, ensuring the continued expansion and reliability of our long-haul and metro networks. Beyond delivery, you will act as a key organizational leader, defining program health through metrics and innovating engineering processes that enhance capacity delivery across all global regions.
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 team 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 $227,000-$320,000 + 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
- Provide technical and engineering support for a global team of Technical Program Managers (TPMs) specialized in the delivery of dark fiber and leased capacity from third-party network providers servicing Google's long-haul and metro networks.
- Drive program health by defining key performance metrics, monitoring for deviations, and implementing corrective actions to ensure global connectivity goals are met.
- Oversee, evaluate recommend policies and procedures of network operations, including Bulk Fiber deployments, IP Outside-of-Band (IPOOB) infrastructure, and the management of cross-connections and disconnections.
- Innovate engineering processes to improve the efficiency and reliability of capacity delivery across geographic regions.
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