Senior Technical Program Manager II, Infrastructure Resource Management, YouTube
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Minimum qualifications:
- Bachelor's degree in a technical field, or equivalent practical experience.
- 10 years of experience in program management.
- Experience in planning, building, and deploying infrastructure for machine learning or distributed systems.
- Experience with efficiency engineering or resource management.
Preferred qualifications:
- 10 years of experience managing complex cross-functional or cross-team projects.
- Experience in data analytics and dashboarding.
- Experience in executive communication, presenting to both technical and non-technical audiences.
- Experience with video platforms or content platforms.
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.
In this role, you will be responsible for evaluating our current processes and systems and proposing solutions to improve their efficiency and effectiveness in supporting YouTube's rapid growth and product launches. You will also be responsible for collaborating with cross-functional teams across Google to forecast capacity needs, ensure efficient resource utilization, drive financial accountability, and minimize operational overhead. You will play a crucial role in enabling YouTube's success and ensuring that our infrastructure is optimized to meet the demands of our growing platform.
At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.
The US base salary range for this full-time position is $227,000-$320,000 + 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
- Lead projects in the Machine Learning (ML) and standard compute space while working with stakeholders to plan requirements, manage project schedules, identify risks, and communicate with cross-functional partners.
- Analyze usage trends and partner with engineers to estimate and acquire resources for feature launches while adhering to financial objectives.
- Be a Subject Matter Expert (SME) on technical and financial trade-offs in data center resource management (e.g., compute, storage, networking, Machine Learning (ML) and Emmy-winning video encoding infrastructure).
- Partner with software engineer to design and build tooling to help scale the planning process. Triage resource requests to fund new launches, system-migrations, and infrastructure projects while maintaining appropriate supply buffers.
- Work closely with Google's Infrastructure teams to understand pricing stability, new hardware roll out and adoption plans, and establish partnerships with supplier teams to determine the right solution.
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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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