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Technical Program Manager III, Network Deployment Engineering, Cloud Networking

Technical Program Manager III, Network Deployment Engineering, Cloud Networking

GoogleAtlanta, GA, US
1 day ago
Job type
  • Full-time
Job description

Technical Program Manager III, Network Deployment Engineering, Cloud Networking

corporate_fare Google place Atlanta, GA, USA; Thornton, CO, USA

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

info_outline

XThe application window will be open until at least November 10, 2025. This opportunity will remain online based on business needs which may be before or after the specified date.Note : By applying to this position you will have an opportunity to share your preferred working location from the following : Atlanta, GA, USA; Thornton, CO, USA .

Minimum qualifications :

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

5 years of experience in program management.

Experience leading technical programs in data centers or networking technologies.

Preferred qualifications :

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

Experience with network planning and engineering, including data center network engineering.

Experience working with Machine Learning (ML) in a compressed deployment environment.

Knowledge of data networking architectures and physical network components.

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 Network Engineering ML Orchestration (N.E.M.O.) team is part of Google's Network Delivery (GND) organization as the Network Deployment Engineering (NDE) segment focused on new product implementations. Our team brings new network solutions that drive innovation and safety as well as accelerate business growth. As the connective tissue across Google networking, we advocate for cross-functional collaboration throughout the entire infrastructure lifecycle. By connecting the dots between different problem areas and minimizing toil, we prime New Product Introductions (NPIs) for seamless and reliable delivery across Google's network.

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 $156,000-$229,000 + 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 aboutbenefits at Google (https : / / careers.google.com / benefits / ) .

Responsibilities

Create, maintain and drive a multi-year roadmap that includes skeleton deployments of various machine-learning (ML) products, fabric / cluster upgrades and decommission validations on Yet Another Willpower Name (YAWN) and colo locations.

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

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

Build relationships with cross-functional teams, drive process improvements regarding coordination and collaborate across internal deployment resources.

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.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (. / privacy-policy) .

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity / expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle's EEO Policy (https : / / www.google.com / about / careers / applications / eeo / ) ,Know your rights : workplace discrimination is illegal (https : / / careers.google.com / jobs / dist / legal / EEOC_KnowYourRights_10_20.pdf) ,Belonging at Google (https : / / about.google / belonging / ) , andHow we hire (https : / / careers.google.com / how-we-hire / ) .

If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https : / / goo.gl / forms / aBt6Pu71i1kzpLHe2) .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies : Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

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 / OFCCP_EEO_Post.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.

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