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Google
Google

Organizing the world's information and making it universally accessible.

Technical Program Manager I, Data Center Machine Learning Operations, Supply Chain

RoleMachine Learning
LevelLead
WorkOn-site
TypeFull-time
Posted1 month ago
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About the job

As a Technical Program Manager on the Machine Operations and Deployment Engineering, you will coordinate throughout the capacity planning and server floor deployment domains to ensure feasibility, manage inter-project dependencies, and plan server floor deployments for global Google capacity deployments with a focus on machine learning and AI deployments.

The US base salary range for this full-time position is $117,000-$166,000 + 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

  • Assign physical location's on the server floor ensuring space/power/cooling/networking constraints are met.

  • Manage rack placement deployment feasibility across physical placement, construction, network deployments, and fleet reconfigurations.

  • Track and manage dependencies to enable the rack deployment.

  • Order, manage and design process and tooling to review for feasibility, infrastructure dependency tracking, and execution.

Minimum qualifications

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

  • 1 year of experience in program management.

  • Experience in data center planning, constraint enforcement, and
    supply chain management.

  • Experience with machine learning infrastructure deployments.

Preferred qualifications

  • Experience with network hardware and data center infrastructure, including liquid cooling and mechanical/electrical supporting systems.

  • Experience with physical planning and deployment of machine rack hardware.

  • Experience with operations, and mechanical and electrical systems, with a focus on how this supports a supply chain.

  • Ability to be an influential member of a highly integrated team composed of both technical and non-technical members.

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About Google

Google

Google

Public

Google specializes in internet-related services and products, including search, advertising, and software.

10,001+

Employees

Mountain View

Headquarters

$1,700B

Valuation

Reviews

10 reviews

4.5

10 reviews

Work-life balance

3.2

Compensation

4.3

Culture

4.1

Career

4.2

Management

3.8

82%

Recommend to a friend

Pros

Great benefits and perks

Innovative and interesting work

Career development and learning opportunities

Cons

High pressure and expectations

Long hours and heavy workload

Fast-paced and overwhelming environment

Salary Ranges

57,503 data points

Junior/L3

L6

L7

L8

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

L3

L4

L5

Junior/L3 · Data Scientist L3

0 reports

$176,704

total per year

Base

-

Stock

-

Bonus

-

$150,298

$203,110

Interview experience

9 interviews

Difficulty

3.4

/ 5

Duration

14-28 weeks

Offer rate

44%

Experience

Positive 0%

Neutral 56%

Negative 44%

Interview process

1

Application Review

2

Online Assessment/Technical Screen

3

Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

Common questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Product Sense