Jobs
Benefits & Perks
•Comprehensive health, dental, and vision insurance
•Generous paid time off and holidays
•Flexible work arrangements
•Team events and activities
•Healthcare
•Flexible Hours
Required Skills
PostgreSQL
React
Node.js
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 AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
We're the driving channel behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
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 benefits at Google.
Responsibilities
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Manage the overall portfolio driving consistent metrics, reviewing investment health, defining governance, and working with leads (Engineering, Technical Program Managers, Product Managers) across AI2 to deliver towards the company level goals for power efficiency.
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Partner with Finance and Engineering to ensure the portfolio metrics and finance impact are durable and deliver the maximum impact in the short and long term.
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Partner with key stakeholders and leaders to develop and deliver a power efficiency strategy and pipeline of projects.
Minimum qualifications
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Bachelor's degree in a technical field, or equivalent practical experience.
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8 years of experience in program management.
Preferred qualifications
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8 years of experience managing cross-functional or cross-team projects.
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Experience in machine learning platforms and systems with the knowledge of design and deployment of these systems.
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Understanding the software stack.
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Ability to drive and land complex cross-functional programs in infrastructure efficiency, especially in the area of compute, storage, and machine learning hardware/software resource efficiency programs for the data center.
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Ability to interact with both technical and non-technical audiences.
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Excellent engineering program management, presentation, verbal and written communication skills.
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About Google

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
News & Buzz
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A Bunch Of Big Video Game Company Stocks Just Tanked For A Very Dumb Reason - Kotaku
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·
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Videogame stocks slide on Google's AI model that turns prompts into playable worlds - Reuters
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News
·
5w ago