Technical Program Manager III, Infrastructure, Cloud AI Systems
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Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 5 years of experience in program management.
- Experience driving cloud infrastructures programs in compute, network, or storage domains.
Preferred qualifications:
- 8 years of product development or program management experience.
- 5 years of experience managing cross-functional or cross-team projects.
- Experience in the software development life-cycle, including analysis and design, development tools and technologies, release and version control, contemporary testing methodologies and deployment management.
- Experience with operating systems, distributed systems, platform development, Kubernetes, containers, and virtualization.
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.
The Technical Infrastructure team's mission is to improve the efficiency, reliability, and performance of the machines and workloads, giving Google developers and Cloud customers a positive experience using platforms, and accelerating the pace of product innovation across the company.
The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.
We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
The US base salary range for this full-time position is $156,000-$229,000 + 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
- Develop roadmaps, engage teams and engineers, set the pace for development, deployment, and delivery of platforms, tools, configurations and processes to support all aspects of Google Compute infrastructure.
- Set the idea and direction for a program by outlining goals and objectives, evaluating and supervising multiple projects, organizing cross-project work within the program, and defining program controls/governance/standards.
- Support decision making, drive project delivery, technology reviews, guide technical proposals and build consensus amongst cross-functional teams, and provide a quantitative analysis focus and translate the findings into recommendations and plans.
- Set project/program success criteria, create measurable milestones, track deliverables and deliver customer value, measure, analyze, and optimize to improve velocity, quality, and efficiency of projects.
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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.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.