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Manager, Compute Resource, Platforms and Devices

Job

Google

Mountain View, CA (In Person)

$235,000 Salary, Full-Time

Posted 1 day ago (Updated 35 minutes ago) • Actively hiring

Expires 6/14/2026

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Job Description

Manager, Compute Resource, Platforms and Devices corporate_fare Google place Mountain View, CA, USA bar_chart Advanced Advanced Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.
Minimum qualifications:
Bachelor's degree in a technical field, or equivalent practical experience. 8 years of experience in program management.
Preferred qualifications:
8 years of experience managing cross-functional or cross-team projects. 8 years general program management experience. Experience in program management foundations with effective written and verbal communication skills. Experience identifying process improvements and quantifying impact. Excellent problem solving and investigative skills. 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 Platforms and Devices Compute Resource Management team performs demand signaling, manages allocations, and monitors utilization of pools of compute resources for product groups within the Platforms and Devices Product Area, such as android, chrome, and artificial intelligence innovation and research. As a member of the Platforms and Devices Compute Resource Management team, you will execute highly technical initiatives related to machine resource planning, operational programs for demand signaling and allocation, metrics collection and analysis, and rollout of new tools and capabilities. You will work cross-functionally with key product group stakeholders across different disciplines and individual resource users to help them identify ways to access compute resources easily and educate them on efficient usage and new platform features. You will also collaborate with finance, product area resource managers, resource managers, technical program managers, program managers, site reliability engineers, and software engineers across google and alphabet to best practices and provide user feedback on constantly evolving infrastructure. The US base salary range for this full-time position is $192,000-$278,000 + 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 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 . Responsibilities Develop and rollout operational processes and tools for compute resources based on best practices and feedback from Product Group stakeholders and users. Coordinate implementation timelines and communications with stakeholders. Establish metrics to inform planning decisions and measure efficiency and utilization, including reporting and alerting. Configure technical resource management automation tools. Troubleshoot errors in various infrastructure platforms. Produce user guides, process documentation, and other forms of educational resources. Collect inorganic demand signals from engineer teams and clarify the prioritization of machine allocations. This may include working with site reliability engineering (SRE) and establishing a formal process for forecasting growth.

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