招聘
Amazon Web Services (AWS) is rapidly expanding our sales function to drive growth across a set of AWS’ customers, as well as the highest priority acquisition targets in MENA. As an Early Career Talent (ECT) Cloud Sales Representative at AWS, you will further develop, and be responsible for, customer acquisition, growth, and support and contribute to the strategic priorities for the region. The Cloud Sales Representative role is part of a dedicated, 24-month program that accommodates for an accelerated development path into AWS, Cloud Technology and Sales. You will be part of an EMEA-wide Early Talent community, collaborating with a wide-range of both internal and external stakeholders. Through our learning and enablement framework, you will build a robust technical and commercial foundation to support growing AWS’ footprint and cloud adoption at scale. In this role, you will use your sales and technical experience to work proactively with existing and prospective customers to accelerate their journey to the cloud. In order to harness the innovation and scale of services AWS offers, you will leverage internal resources to engage with our customers to execute their strategic objectives in order to adapt to changing market trends. Do you look around corners for ways to engage and service customers? Are you experienced in using technology to solve business problems that have big customer impact? Come build the future with us.
- Key job responsibilities
- Drive AWS business growth in a defined territory/segment of customers
- Build and leverage relationships with internal and external stakeholders to further the adoption of AWS services in the market
- Accelerate customer adoption through well-developed sales strategies and successful GTM engagements to achieve customer outcomes
- Lead a Customer Obsessed business that delights our customers, enables innovation, underpins transformation and delivers outstanding outcomes
- Deliver against sales goals
- Develop and work with partners to extend the reach and drive AWS cloud adoption
- Leverage and build AI and automation solutions
Basic Qualifications
- UAE national with family book
- Completed Bachelor's or Master’s degree
- Fluent written and verbal communication in English and Arabic
- Solid organizational skills, including prioritization and time management
- Problem solving skills
- Strong communication and interpersonal skills
Preferred Qualifications
- Experience in direct sales and partner sales leadership
- Customer-facing experience
- Experience demonstrating strong analytical abilities and confidence in the use of data
- Results-driven focus with analytical capability
- Ability to innovate and simplify current processes and practices
- Passion for technology sales and AI-first solutions
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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关于Amazon

Amazon
PublicAmazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.
10,001+
员工数
Seattle
总部位置
$1.5T
企业估值
评价
3.4
10条评价
工作生活平衡
2.5
薪酬
4.2
企业文化
3.0
职业发展
3.8
管理层
2.7
65%
推荐给朋友
优点
Great benefits and competitive pay
Learning and advancement opportunities
Good teamwork and colleagues
缺点
High pressure and long hours
Poor work-life balance
Toxic work culture and management issues
薪资范围
4个数据点
L2
L3
L4
L5
L6
M3
M4
M5
M6
L2 · Sales L2
0份报告
$183,390
年薪总额
基本工资
$73,356
股票
$91,695
奖金
$18,339
$128,373
$238,407
面试经验
6次面试
难度
4.0
/ 5
时长
21-35周
体验
正面 0%
中性 17%
负面 83%
面试流程
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Technical Interview
6
Onsite/Virtual Interviews
常见问题
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
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