Technical Program Manager III, Data Center Deployment, Cloud Networking

The application window will be open until at least July 19, 2024. This opportunity will remain online based on business needs which may be before or after the specified date.Minimum qualifications:

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

5 years of experience in program management influencing across a cross-functional organization.

Experience with data center or networking deployments.

Preferred qualifications:

5 years of experience managing cross-functional or cross-team projects.

Experience working with ML in a compressed deployment environment.

Knowledge of data networking architectures and physical network components.

Knowledge of ML product deployments.

Familiarity with network planning and engineering, including data center network engineering in complex environments.

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.Our goal is to build a Google that looks like the world around us — and we want Googlers to stay and grow when they join us. As part of our efforts to build a Google for everyone, we build diversity, equity, and inclusion into our work and we aim to cultivate a sense of belonging throughout the company.The Network Deployment Engineering team's mission is to deploy new network solutions that drive innovation, safety, and accelerate business growth. Our specific team focuses on NPIs for Fabric, Cluster and Machine Learning (ML) Deployments and ML Dependency work. As new technologies and ML products are developed, our team members evaluate the ability to deploy our networks at scale. In this role, you will be responsible for driving ML programs and leading the ML Network Portfolio for new product implementations.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.The US base salary range for this full-time position is $142,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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.

Create/maintain and drive multi-year Roadmap for Skeleton deployments for various ML products, Fabric/Cluster upgrades and decommission validations on YAWNS and Colo locations.

Drive dependencies and ensure dependent projects within the portfolio are kicked off in time to support the overall MLNet Roadmap.

Lead cross-functional teams and manage complex network implementations with multiple interdependencies, competing priorities in a compressed timeline while ensuring stakeholders are aware of project status.

Work with key upstream planning partners to remain aligned on demand pipeline and ensure triggers are happening in the right cadence to ensure delivery success.

Build relationships with cross-functional teams. Drive process improvements, especially regarding coordination and collaboration across internal deployment resources.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCPEEOPost.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.