Google · 1 week ago
Technical Program Manager, ML Fleet
Seattle, WA, USA
Full-time
Hybrid
Senior Level, Lead/Staff
$183K/yr - $271K/yr
8+ years expGoogle is a company that builds products to create opportunities for everyone. As a Technical Program Manager, you will lead complex, multi-disciplinary projects related to Machine Learning infrastructure, ensuring efficient allocation and management of resources across various product areas.
AppsArtificial Intelligence (AI)Cloud StorageSearch EngineSEO
Responsibilities
Lead cross-functional programs related to ML Fleet capacity management, including the design, update, and maintenance of ML Fleet's cluster-level allocation plan of record
Drive the development, implementation, and ongoing maintenance of fleet-wide accelerator and auxiliary resource usage metrics, policies, and governance frameworks
Identify gaps and drive initiatives to improve existing tooling and processes, enhancing the efficiency, agility, and responsiveness of ML capacity allocation and management
Partner closely with key stakeholders including ML strategy and allocation, product area resource management teams, capital engineering, supply teams, tooling engineering, and system infrastructure site reliability engineers (SREs)
Manage communications and escalations related to ML resource allocation, performance, and shifts for product areas and other partners
Qualification
Required
Bachelor's degree in a relevant technical or engineering field (e.g., Hardware, Computer Systems, Electrical Engineering, or Software Engineering) or equivalent practical experience
8 years of experience in technical program management, including leading the launch of cross-functional programs involving hardware/systems
Experience in machine learning infrastructure or program execution
Experience with capacity management, supply chain, or demand forecasting processes in a technology context
Preferred
MBA or Master's degree in a technical field
8 years of experience managing cross-functional or cross-team projects
Experience with Machine Learning infrastructure, accelerators (TPUs/GPUs), or managing AI/ML workloads at scale
Experience in defining and implementing governance frameworks or policies for technical resources
Experience presenting to executive-level audiences with excellent communication skills
Ability to navigate ambiguity, influence without direct authority, and drive consensus across various technical and non-technical teams
Benefits
Bonus
Equity
Benefits
Company
Google specializes in internet-related services and products, including search, advertising, and software. It is a sub-organization of Alphabet.
10001+ employees
H1B Sponsorship
Google has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (8763)
2024 (8872)
2023 (9682)
2022 (11626)
2021 (9109)
2020 (9785)
Funding
Current Stage
Public CompanyTotal Funding
$26.1MKey Investors
Andy Bechtolsheim
2004-08-19IPO
1999-06-07Series Unknown· $25M
1998-11-01Angel· $1M
Leadership Team
Sundar Pichai
CEO
Thomas Kurian
CEO - Google Cloud
Recent News
The Indian Express
2025-10-08
2025-10-04
2025-10-04
Company data provided by crunchbase