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职位Google

Customer Solutions Engineer, gTech Ads

Google

Customer Solutions Engineer, gTech Ads

Google

·

On-site

·

Full-time

·

1w ago

  • Architect, develop, and deliver innovative solutions leveraging Google's ecosystem, including Google Cloud and Google AI capabilities, to maximize the potential of Google Ads and Google Marketing Platform products.

  • Work closely with Google's largest advertisers, agencies and partners, understand their challenges, collect requirements, provide solutions, consultancy and best practices to apply Ads products and technologies to achieve their business goals.

  • Identify and solve client problems proactively and creatively through effective project management and consultation on technical setup.

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

  • 3 years of experience working with client-side web technologies (e.g., HTML, CSS, JavaScript, or HTTP).

  • Experience coding in languages (e.g., Python, Java or C++), databases (e.g., MySQL or BigQuery) and Unix-like operating systems (e.g., Linux).

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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

3.7

25条评价

工作生活平衡

3.8

薪酬

4.2

企业文化

3.4

职业发展

3.9

管理层

2.8

68%

推荐给朋友

优点

Excellent compensation and benefits

Smart and talented colleagues

Great perks and work flexibility

缺点

Management and leadership issues

Bureaucracy and slow processes

Constantly changing priorities and reorganizations

薪资范围

57,502个数据点

Junior/L3

L3

L4

L5

L6

L7

L8

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

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

面试经验

9次面试

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