
Organizing the world's information and making it universally accessible.
Customer Engineer, AI/ML, Google Cloud
About the job
When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.
As a Customer Engineer, you will work with technical business teams as a machine learning subject matter expert to differentiate Google Cloud to our customers. You will help prospective customers and partners understand the power of Google Cloud, explain technical features, help customers design architectures, and problem-solve any roadblocks. You will also have the opportunity to help customers to leverage specialized Machine Learning (ML) hardware developed by Google, called Tensor Processing Unit (TPU). You will work with customers and product development to shape the future of the platform.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Responsibilities
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Work with the team to identify business opportunities, understand key customer technical objections, and develop the strategy to resolve technical blockers.
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Provide Machine Learning (ML) expertise to support relationships with customers, including product and solution briefings, proof-of-concept work, and partnering with product management to find solutions.
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Work with customers to demonstrate Google Cloud product integrations in customer/partner environments.
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Recommend integration strategies, enterprise architectures, platforms, and application infrastructure to implement a complete solution using best practices on Google Cloud.
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Travel to customer sites, conferences, and other related events as needed.
Minimum qualifications
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Bachelor's degree in Computer Science, Electrical Engineering, Computer Engineering, a related technical field, or equivalent practical experience.
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6 years of experience as a technical business engineer in a cloud computing environment.
Preferred qualifications
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Master's degree in Computer Science, or a related technical field.
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Experience with Developer Operations (DevOps) best practices (e.g., Continuous Integration/Continuous Deployment (CI/CD)).
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Experience in delivering technical presentations and demos.
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Ability to gather, analyze, debug, and fix problems that occur with production systems.
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Ability to multitask, prioritize, and manage time effectively.
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Ability to work in a team, with excellent communication skills.
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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
Junior/L3
L6
L7
L8
Mid/L4
Principal/L7
Senior/L5
Staff/L6
Director
L3
L4
L5
Junior/L3 · Data Scientist L3
0份报告
$176,704
年薪总额
基本工资
-
股票
-
奖金
-
$150,298
$203,110
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



