Technical Program Manager II, Compute Infrastructure Management, Google Cloud

Google•New York, NY

2d•$138,000 - $197,000

About The Position

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. As a Technical Program Manager for Central Compute Planning, you will coordinate across Engineering teams to solve complex problems in compute resource management. You will partner with supply chain, data center infrastructure, and software engineering to design the future of global resource management. Your charter includes identifying efficiency opportunities, balancing resource distribution against infrastructure and budgetary constraints, and implementing tools and policies to optimize the engineering stack. You will redefine on-demand computing through centralized planning and resource pooling at an unprecedented scale. You bring experience in software development, analytics, or supply chain management and the ability to synthesize solutions for broad, interdependent problems. You thrive in fast-paced environments, thinking critically and iterating quickly through phased rollout strategies. You are a collaborative leader who solves hard problems simply while delivering premium service to internal customers. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $138000 - $197000 (USD) + 15% bonus target + equity + benefits Learn more about benefits at Google [https://www.google.com/about/careers/applications/benefits/].

Requirements

Bachelor's degree in a technical field, or equivalent practical experience.
2 years of experience in program management.
Experience in applying data analysis techniques to diagnose system issues and model future state scenarios.

Nice To Haves

2 years of experience managing cross-functional or cross-team projects.
Experience in software development or programming, with the ability to read or make minor code changes.
Ability to work with ambiguous data sets and come up with insights.
Ability to conceive and accept responsibility for projects and see them through to completion.
Excellent influencing skills, with the ability to deliver solutions in an always changing environment.
Excellent verbal/written communication, problem-solving, organizational, prioritization, and multitasking skills.

Responsibilities

Manage projects and data analysis to ensure computing power is budgeted and distributed efficiently across the company, leading programs that reduce waste to achieve our savings goal.
Lead analytical efforts to model future computing demand and coordinate with supply chain teams to ensure the amount of hardware is deployed globally to meet those needs.
Shape strategy and rules for how computing resources are shared company-wide, while defining the requirements for software tools that automate shared resources.
Lead transition of internal business units from managing own demand to a centralized, shared model, ensuring that each team’s specific technical needs are met during the migration.
Monitor key metrics to track cost savings and hardware availability, while identifying and mitigating risks (i.e sudden spikes in usage to ensure that sharing resources never impacts the reliability of our services).