招聘
About the job
As a Technical Account Manager (TAM), you will help customers successfully adopt Google Cloud products. You will lead the successful adoption of Google Cloud at organizations, guiding them through the technical facets of their Google Cloud transformation journey. You will manage the successful delivery of cloud consulting engagements to drive customer adoption of Google Cloud services. In this role, you will regularly engage with various stakeholder groups, including leadership of enterprises and a cross-functional and geographically dispersed team.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s 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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Accelerate customer adoption of Google Cloud by leading the implementation journey. Provide technical guidance and manage timelines, milestones, migration goal and business transformation strategies.
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Advocate for customer needs in order to overcome adoption blockers and drive new feature development. Lead across multiple work streams and teams to maintain customer momentum.
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Develop strategic relationships with key stakeholders (particularly C-Suite and IT team) to understand a customer’s business and develop strategic roadmaps. Lead quarterly business reviews and executive sessions to better understand business and technical needs.
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Plan for customer events and launches, partnering with support, engineering and SRE to ensure customer success during critical moments. Work with customers and support to guide issues and escalations to resolution.
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Develop best practices and assets based on learnings from customer engagements to help support initiatives to scale through partners.
Minimum qualifications
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Bachelor’s degree in Computer Science, Engineering, a related technical field, or equivalent practical experience.
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5 years of experience in a customer-facing role working with stakeholders, driving customer technical implementations or transformation programs.
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Experience supporting customers in cloud operations (e.g., launch or capacity planning, product release management), technical support, escalation management, or IT consulting.
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Ability to communicate in English and Polish fluently to support client relationship management in this region.
Preferred qualifications
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MBA or Master’s degree in a Management, Technical, or Engineering field.
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Experience translating business requirements into technological solutions.
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Experience in application or workload migration to public cloud providers.
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Experience collaborating with teams, groups, business units, channel partners, systems integrators, and third-party developers to deliver solutions.
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Understanding of IT operations, database systems, networking, IT security, application development, service architecture, cloud-native application development, hosted services, storage systems, or content delivery networks.
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Excellent written and verbal communication, presentation, problem-solving, and client management 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
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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