招聘
About the job
The Customer Solutions Engineering team is responsible for developing solutions to the business problems faced by the advertisers. In this role, you will use the coding abilities, communication skills, desire to solve problems, passion for scale and big data, and business acumen to develop answers to questions. Your solutions will take many forms, from prototypes and demos to education all with the technology resources of Google to back it up. You will be responsible for identifying and prioritizing your own projects. You will see the unique business issues faced by our largest advertisers. Working across the entire organization, you will have the chance to leverage your wide-ranging experience and skill-set to find the best solution for the problems.
Google creates products and services that make the world a better place, and g Tech’s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products.
To learn more about gTech, check out our video.
The US base salary range for this full-time position is $127,000-$183,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
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Manage technical relationships with a select client portfolio.
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Work with business to identify business opportunities leveraging both display and performance solutions supported by the team.
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Collect requirements, provide guidance and best practices to apply ad products and technologies to achieve advertisers' business goals.
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Design and implement cross-product customized solutions with the client.
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Be responsible for end-to-end implementations and escalations managed by other Google teams for named accounts.
Minimum qualifications
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Bachelor’s degree in Engineering, Computer Science, or a related field, or equivalent practical experience.
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3 years of experience in either system design or in one programming language (Java, C++, Python, etc.).
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3 years of experience in technical troubleshooting, and managing internal/external partners or customers.
Preferred qualifications
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Master’s degree in Business, Statistics, Mathematics, Economics, Engineering or Applied Science, or a related field.
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Experience using Google Ads or other online advertising solutions and the media/tech landscape.
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Experience in a customer-facing role translating technical concepts and solutions to non-technical and executive audiences.
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Experience in business analysis to conduct analytics, develop dashboards, and make recommendations.
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Experience with big data platforms and large volume data analytics.
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Ability to work well in a dynamic environment to solve problems and think critically.
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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
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
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