Technical Program Manager III, ML Infrastructure Resource Management, Google Cloud

Google LLC

Sunnyvale, CA

JOB DETAILS
SKILLS
Analysis Skills, Artificial Intelligence (AI), Artificial Intelligence (AI) Programming Languages, Capacity Allocations, Capacity Management, Cloud Computing, Communication Skills, Consulting, Cross-Functional, Data Analysis, Engineering Management, English Language, Equal Employment Opportunity (EEO), Field Sales, GPU (Graphics Processing Unit), Genetics, Hyperion Pillar, Machine Learning, Machine Tool, Mechanical Engineering, Metrics, Modeling Languages, Network Operations Center, Operations Management, Process Improvement, Product Development, Product Engineering, Product Management, Program Planning, Programming Languages, Project Schedule, Project/Program Management, Python Programming/Scripting Language, Recruiting/Staffing Agency, Regulatory Requirements, Reliability Engineering, Resource Management, Risk Analysis, Risk Management, SQL (Structured Query Language), Sales, Sales Management, Schedule Development, Security Architecture, Software Engineering, Startup, Supply Chain Management, Technical Leadership, Technical Support, Vehicle Fleets
LOCATION
Sunnyvale, CA
POSTED
17 days ago

Technical Program Manager III, ML Infrastructure Resource Management, Google Cloud - Google Careers

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Technical Program Manager III, ML Infrastructure Resource Management, Google Cloud

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corporate_fareGoogleplaceSunnyvale, CA, USA; New York, NY, USA

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Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

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XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; New York, NY, USA.

Minimum qualifications:

  • Bachelor"s degree in a technical field, or equivalent practical experience.

  • 5 years of experience in program management.

  • Experience in infrastructure resource management or Infrastructure capacity planning.

  • Experience working with data analytics tools like SQL, Python, Databases, or other programming languages.

Preferred qualifications:

  • 5 years of experience managing cross-functional or cross-team projects.
  • Experience in large scale, distributed infrastructure.
  • Experience with deploying large language models or distributed machine learning.
  • Domain expertise in supply chain management or data center capacity planning, compute/storage infrastructure.

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 Machine Learning Resource Engineering (MLRE) team serves as the stewards of roughly half of Google's global ML accelerator fleet. As an integral pillar of the broader ML Fleet organization, we are responsible for managing the Google-wide Large Language Model (LLM) Serving pool. In addition, we act as the dedicated Product Area Resource Management (PARM) partners for critical client groups across Alphabet.

As a PARM group, our core mission centers on planning, deploying, and maximizing the efficiency of TPU and GPU capacity in strict alignment with Google's top strategic priorities.

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google"s product portfolio possible. We"re proud to be our engineers" engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

The US base salary range for this full-time position is $163,000-$237,000 + 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

  • Act as a trusted advisor to Product Area partners, understanding their TPU/GPU requirements and delivering a guided, seamless resource management experience.
  • Collaborate closely with Software Engineering (SWE) and Site Reliability Engineering (SRE) teams to uncover, analyze, and execute on efficiency opportunities across our managed resource footprints.
  • Own the operational execution of capacity allocations and allied workflows using core Google tooling, a technical or engineering background is critical to successfully navigating this significant operational component.
  • Partner cross-functionally to drive tool and process optimizations. Leverage strong data analysis skills to convert fleet metrics into actionable business value and automated scalability.
  • Utilize an understanding of ML fundamentals to inform resourcing decisions, with a preference for practical experience in deploying large-scale ML models.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google"s Applicant and Candidate Privacy Policy.

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.

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