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Google
Google

Organizing the world's information and making it universally accessible.

Customer Engineer, AI/ML, Google Cloud

职能机器学习
级别中级
方式现场办公
类型全职
发布1个月前
立即申请

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

  • Work with the team to identify business opportunities, understand key customer technical objections, and develop the strategy to resolve technical blockers.

  • 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.

  • Work with customers to demonstrate Google Cloud product integrations in customer/partner environments.

  • Recommend integration strategies, enterprise architectures, platforms, and application infrastructure to implement a complete solution using best practices on Google Cloud.

  • Travel to customer sites, conferences, and other related events as needed.

Minimum qualifications

  • Bachelor's degree in Computer Science, Electrical Engineering, Computer Engineering, a related technical field, or equivalent practical experience.

  • 6 years of experience as a technical business engineer in a cloud computing environment.

Preferred qualifications

  • Master's degree in Computer Science, or a related technical field.

  • Experience with Developer Operations (DevOps) best practices (e.g., Continuous Integration/Continuous Deployment (CI/CD)).

  • Experience in delivering technical presentations and demos.

  • Ability to gather, analyze, debug, and fix problems that occur with production systems.

  • Ability to multitask, prioritize, and manage time effectively.

  • Ability to work in a team, with excellent communication skills.

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关于Google

Google

Google

Public

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

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