
Organizing the world's information and making it universally accessible.
Program Manager, Global Server Operations Fleet Actions, Analytics
福利待遇
•股权
•育儿假
必备技能
Excel
Python
Salesforce
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 Program Manager at Google, you’ll lead complex, multi-disciplinary projects from start to finish — working with stakeholders to plan requirements, manage project schedules, identify risks, and communicate clearly with cross-functional partners across the company. Your projects will often span offices, time zones, and hemispheres. It's your job to coordinate the players and keep them up to date on progress and deadlines.
As a key driver of GSO’s operational excellence, you will bridge the gap between complex infrastructure data and strategic decision-making. You will be responsible for building the scalable systems and investigative frameworks that allow Google’s infrastructure to grow intelligently. You will leverage your technical expertise in data modeling and visualization with advisory, requiring you to turn raw data into actionable insights that optimize global operations.
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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Design and implement the processes, systems, and analytics frameworks required to support GSO’s global growth.
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Collaborate with cross-functional teams to translate data needs into intuitive, high-impact visualizations and dashboards.
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Develop what-if models, data pipelines, and advanced investigative toolkits that improve the responsiveness of Google’s infrastructure.
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Act as a trusted expert in data center solutions, providing technical and operational guidance to executives and external partners.
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Manage the life-cycle of data-driven solutions, ensuring they meet the technical requirements of our leads and the strategic goals of our partners.
Minimum qualifications
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Bachelor's degree in Engineering, Math, Quantitative Science, or a related technical field, or equivalent practical experience.
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2 years of experience in program or project management.
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2 years of experience working with data analytics tools and reporting platforms.
Preferred qualifications
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Experience in Data Center operations.
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Experience with investigative tools and expertise in SQL, dashboard development using Business Intelligence Platform, Looker Studio, Tableau, Power BI or Microstrategy etc.
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Strong attention to detail.
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Ability to engage with executive stakeholders.
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Excellent communication, and presentation skills.
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关于Google

Google specializes in internet-related services and products, including search, advertising, and software.
10,001+
员工数
Mountain View
总部 位置
$1,700B
企业估值
评价
10条评价
4.5
10条评价
工作生活平衡
3.2
薪酬
4.3
企业文化
4.1
职业发展
4.2
管理层
3.8
82%
推荐率
优点
Great benefits and perks
Innovative and interesting work
Career development and learning opportunities
缺点
High pressure and expectations
Long hours and heavy workload
Fast-paced and overwhelming environment
薪资范围
57,503个数据点
Mid/L4
Mid/L4 · Accessibility Analyst
1份报告
$214,500
年薪总额
基本工资
$165,000
股票
-
奖金
-
$214,500
$214,500
面试评价
9条评价
难度
3.4
/ 5
时长
14-28周
录用率
44%
体验
正面 0%
中性 56%
负面 44%
面试流程
1
Application Review
2
Online Assessment/Technical Screen
3
Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
常见问题
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Product Sense
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