Technical Program Manager, Cloud ML Compute Services
Job Summary
Job Description
- Bachelor's degree or equivalent experience
- 8+ years ML experience
- 8+ years program management experience
- Cross-functional project management
- Understanding of ML Infra/TPU/GPU systems
- 10+ years managing complex projects
- Software development & distributed systems knowledge
- Bonus
- Equity
- Benefits
1 skill required
Job Details
Minimum qualifications:
- Bachelor's degree in a relevant field, or equivalent practical experience.
- 8 years of experience working on Machine Learning (ML).
- 8 years of experience in program management.
Preferred qualifications:
- 10 years of experience managing complex cross-functional or cross-team projects.
- Understanding of software development, distributed systems, and ML Infra, or TPU/GPU systems.
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.
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 $183,000-$271,000 + 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 .
Responsibilities
- Collaborate with cross-functional teams to define project scope, goals, and deliverables. Develop detailed project plans, identify dependencies, and manage timelines.
- Communicate with stakeholders across engineering, product, and research to ensure alignment and drive progress.
- Identify and mitigate risks that could impact project success.
- Understand the technical aspects of ML workload monitoring and diagnostics, including distributed systems, performance optimization, and ML model convergence.
- Work with engineers, researchers, and product managers to translate business requirements into technical solutions.
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About The Company
A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.
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