Technical Program Manager, Machine Learning Compute Resources
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Minimum qualifications:
- Bachelor's degree in a technical field, or equivalent practical experience.
- 8 years of experience in program management.
- 8 years of experience in program management foundations with written and verbal communication.
- 8 years of experience identifying process improvements and quantifying impact.
Preferred qualifications:
- Experience with machine resource provisioning, allocating, or queueing/scheduling systems.
- Experience in Leadership performing data analysis, building metrics systems, and tooling.
- Ability to track using accounting-based principles or capacity planning methods.
- Ability to interact with technical and non-technical groups.
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.
Our goal is to build a Google that looks like the world around us — and we want Googlers to stay and grow when they join us. As part of our efforts to build a Google for everyone, we build diversity, equity, and inclusion into our work and we aim to cultivate a sense of belonging throughout the company.
Responsibilities
- Develop and rollout operational processes and tools for compute resources based on 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 Engineering 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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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.
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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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