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Technical Program Manager III, Cloud Infrastructure, Cloud AI Systems

Google

Technical Program Manager III, Cloud Infrastructure, Cloud AI Systems

Google

·

On-site

·

Full-time

·

1mo ago

Compensation

$156,000 - $229,000

Benefits & Perks

Top Tier compensation with equity

Learning and development stipend

Parental leave program

Wellness benefits

Remote work flexibility

Required Skills

Airflow

PyTorch

SQL

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.

As a Technical Program Manager for ML, Systems, and Cloud AI (MSCA), you will help deliver a variety of programs in the area of data center software. You will be responsible for the development of software to support new Google-designed hardware products, including software for planning the deployment of the new hardware to our data centers, monitoring the hardware, detecting and diagnosing failures in the hardware, and scheduling repairs.

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 $156,000-$229,000 + 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

  • Scope, plan, and manage large programs, including management of associated financial and human resources, quality of software development and features, risks, schedules, communication plans, and deliverables.

  • Provide management with forecasts of project deliverables and detailed status updates.

  • Present your team's analyses, recommendations, and approaches to stakeholders and executive management.

  • Initiate new software development programs, identify and deliver software features that drive performance, scale, functionality, security, quality, and efficiency, based on prioritized needs.

  • Be the catalyst for program support and delivery.

Minimum qualifications

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

  • 5 years of experience in program management.

  • Experience in cloud computing technologies (e.g., Google Cloud Platform (GCP), etc.).

  • Experience managing software engineering programs or engineering management.

Preferred qualifications

  • 5 years of experience managing cross-functional or cross-team projects.

  • Experience with technologies such as virtualization and complex software infrastructure systems, compute, storage, data migration, capacity, load balancing, and software defined networking.

  • Experience managing execution of complex programs that span multiple engineering teams through the software project lifecycle (build, test, and release on time).

  • Experience with machine learning infrastructure or TPU/GPU systems.

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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

3.7

25 reviews

Work Life Balance

3.8

Compensation

4.2

Culture

3.4

Career

3.9

Management

2.8

68%

Recommend to a Friend

Pros

Excellent compensation and benefits

Smart and talented colleagues

Great perks and work flexibility

Cons

Management and leadership issues

Bureaucracy and slow processes

Constantly changing priorities and reorganizations

Salary Ranges

63,375 data points

Junior/L3

L3

L4

L5

L6

L7

L8

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

Junior/L3 · Data Scientist L3

0 reports

$176,704

total / 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