Technical Program Manager I, Resource Engineering, Machine Learning
Technical Program Manager I, Resource Engineering, Machine Learning
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Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 1 year of experience in program management.
- Experience with a programming language (e.g., Python, SQL, or JavaScript).
- Experience with data analytics.
Preferred qualifications:
- Bachelor's degree in Computer Science.
- Experience in Supply Chain.
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.
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
- Work with product area partners to understand their needs and provide them a guided resource management experience.
- Work with engineers to discover efficiency opportunities in the existing resource footprints we manage.
- Use tooling in order to drive capacity allocations and allied processes.
- Invest in making personal contributions to improving processes and tools, as well as partnering with other teams to drive scale-up through automation.
- Drive analysis and metrics to improve the ability to maximize business value from the resources available.
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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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