Technical Program Manager, Data Center Process Engineering
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Minimum qualifications:
- Bachelor's degree in a a technical field, or equivalent practical experience.
- 10 years of experience in program management.
- 10 years of experience in supply chain or operations.
- 10 years of experience managing technical cross-functional or cross-team projects.
- Experience with server infrastructure, server hardware, networking, storage solutions, and virtualization technology.
Preferred qualifications:
- MBA or Master's degree in a Technical field.
- Experience driving innovation, including adopting new technologies and methodologies to improve overall performance.
- Ability to clearly articulate complex technical concepts to a variety of audiences while being recognized as a thought leader across the organization and industry.
- Ability to make critical decisions under pressure, and balancing technical requirements with business objectives.
- Excellent customer focus, with the ability to communicate with highly technical management teams.
- Passion for functioning in an ambiguous and evolving engineering operations 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.
In this role, you will build collaborative bridges across Google including platform engineering, fleet management, tech writing, operations teams, and multiple engineering organizations. You will serve as a scout for new products, assessing risks, advocating for needs, and driving continuous improvement across the organization. You will also manage cross-functional projects in one of the world's most impressive computing infrastructures. As the business changes at a rapid pace, you will see around corners to develop excellent operating processes and cadence to proactively adjust to business needs.
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 $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
- Lead key programs, and communicate program health, status, and actions to stakeholders. Collaborate across organizational levels and boundaries.
- Drive efforts to improve efficiency, cycle times, reliability, predictability and on-time delivery. Work with cross-functional partners to design automation needs for scale and efficiency.
- Define specifications, which include establishing detailed technical requirements for server hardware and specifying the performance metrics, scalability goals, and compliance standards.
- Collaborate with Hardware Engineering teams to align on the product roadmap and features, especially around deployability and serviceability of the hardware systems (including advocating for new technologies).
- Drive compatibility across hardware platforms and data center types to align features, capabilities, and requirements of enabling tools for the data center technicians. Be a thought partner to the leaders of the Server Operations organization and ensure the reliability and scalability of server operations.
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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 also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
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.
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