Minimum qualifications:
- Bachelor's degree in a technical field, or equivalent practical experience.
- 5 years of experience in program management.
- Experience in data center engineering and product design.
Preferred qualifications:
- Certifications like Managing Successful Programmes (MSP)/Management of Risk (MOR).
- Experience in technical and product program management.
- Experience managing risk of product and programs, implementing mitigation plans.
- Ability to influence cross-functional team members and stakeholders.
- Ability to navigate ambiguity and succeed at a fast pace of change.
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.
Google Cloud provides organizations with leading infrastructure, platform capabilities and industry solutions. We deliver enterprise-grade cloud solutions that leverage Google’s technology to help companies operate more efficiently and adapt to changing needs, giving customers a foundation for the future. Customers in more than 150 countries turn to Google Cloud as their trusted partner to solve their most critical business problems.
Google is transforming how hyperscale data centers are planned, designed, and built from custom, stick-built, multi-year construction monoliths to manufactured, modular, just-in-time deployments of fungible capacity. The Product Development and Insertion (PDI) organization under Data Center Technology and Systems (DCTS) is the execution arm of the development of such fungible capacity. PDI, working alongside the different pillars within DCTS, drives and provides ownership of the various products and programs that will enable the future modular technology for Google Cloud.
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.
Responsibilities
- Execute scope for cross-functional product development of new products and programs. Guide products through the product life cycle process.
- Work with upstream and downstream partner teams across data centers, specifically, supply chain, construction and execution teams, hardware and software operations to help execute successful product insertions.
- Lead the site intercept process quickly assesses specific data center sites for their ability to adopt emerging design configurations. Align, plan and deliver Data Center design delivery.
- Develop and execute tech insertion cut-in framework that defines the point of no return for design changes based on construction schedules and supply chain lead times.
- Orchestrate executive decision support and reporting and process optimization (speed to plan). Execute scope for cross-functional product development of new products and programs, stretching to address undefined challenges with limited guidance.
