招聘
Benefits & Perks
•Health and wellness benefits
•Parental leave
•Flexible work arrangements
•Collaborative work environment
•Competitive salary and bonus
•Professional development budget
•Parental Leave
•Flexible Hours
•Learning
Required Skills
Salesforce
Python
SAP
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.
GIG's (Global Infrastructure Group) mission is to drive optimal fulfillment and transform Google’s data center fleet by balancing and shaping demand intent, deployment decisions, and supply capability. We work to develop a fleet that serves the best interest of Google, balancing customer needs with our capabilities to deliver. Using our end-to-end perspective, we strive to make the difficult possible.
The Fleet Actions delivery team within GIG focuses on the enablement and orchestration of capacity fulfillment, from order creation and constraints enforcement through to Delivery. The team focuses on timely execution, exception management, efficient capacity utilization, transformation programs, and delivery policies and expectations into Google Data Centers.
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 force 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.
Responsibilities
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Develop deployment plans and fulfillment strategies for machine delivery in partnership with product areas and the Supply Chain team.
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Communicate program health, status, and actions to stakeholders including product areas, leadership, and partner organizations.
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Collaborate across organizational levels and boundaries. Drive efforts to improve efficiency, cycle times, reliability, predictability and on-time delivery.
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Work with cross-functional partners and Software Engineering teams to design automation needs for scale and efficiency.
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Oversee and ensure successful execution and on-time delivery of these plans and strategies. Troubleshoot issues, identify risk areas and develop mitigation strategies.
Minimum qualifications
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Bachelor's degree in a technical field, or equivalent practical experience.
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5 years of experience in program management.
Preferred qualifications
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MBA or Master's degree in a technical field.
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6 years of experience in Supply Chain or Operations.
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5 years of experience managing cross-functional or cross-team projects.
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Passion for functioning in an ambiguous and evolving engineering operations environment
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Excellent customer service focus, with the ability to interact with technical management teams.
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Excellent project management and communication skills, with attention to detail and tactical execution.
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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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Videogame stocks slide on Google's AI model that turns prompts into playable worlds - Reuters
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News
·
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