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At Amazon, we are working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. Amazon is continually evolving and is a place where motivated employees thrive and also where employee ownership and accountability lead to meaningful results.
Come join the AWS Korea Database team and help make database history! Hundreds of thousands of customers rely on AWS databases, designed from the ground up to support the scale, performance, and availability needs of modern applications. As a Senior Database Sales Specialist, you will help shape the future of the database platform industry and further establish AWS as the clear leader in cloud computing. We are seeking experienced enterprise IT sales specialists who can help deliver AWS database value to the Korea’s most forward-thinking customers.
Role & Responsibilities:
- Sales Specialists are the ultimate owner of the revenue and success goals of their services in the accounts/territories they are assigned to. Sales Specialists are empowered to pursue, create and develop opportunities for their service. They proactively grow usage and revenue for their specific service group within a defined geographic area/territory or vertical by executing known working sales plays.
- Manage database services including relational, non-relational, database migration services and AI enabled Database services
- Educate account teams on database messaging, programs, and services
- Partner with business development/Go-To-Market specialist and solutions architecture teams to accelerate database opportunities within strategic customer segments and key accounts
- Meet or exceed annual revenue targets
- Manage a robust sales pipeline and maintain an accurate revenue forecast
- Develop long-term and strategic relationships with key accounts and stakeholders
Required Qualifications:
Basic Qualifications
- 10+ years of account management experience with quota ownership, working with commercial or enterprise customers in software technology solutions sales
- 3+ years of direct field sales experience in database products or services
- Demonstrated experience in identifying, developing, negotiating, and closing large-scale technology deals
- Experience positioning and selling technology solutions to new customers and new market segments
- Ability to translate customer business and technology priorities into effective technology solutions
- Good verbal and written communications skills in English and Korean
Preferred Qualifications
- Experience driving adoption of new and disruptive technologies
- Experience working within a global company, with multi-country responsibilities
- Experience in direct sales or business development in software, cloud or SaaS markets selling to C-level executives
- Technical background in Engineering, Computer Science, or Management Information Systems (MIS)
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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Amazon
PublicAmazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.
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Employees
Seattle
Headquarters
Reviews
2.9
10 reviews
Work Life Balance
2.8
Compensation
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Culture
2.5
Career
2.3
Management
2.1
35%
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Pros
Good pay and compensation
Strong benefits package
Flexible scheduling options
Cons
Poor management and leadership
Limited growth and promotion opportunities
High stress and demanding work environment
Salary Ranges
2 data points
L2
L3
L4
L5
L6
M3
M4
M5
M6
L2 · Sales L2
0 reports
$183,390
total / year
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$73,356
Stock
$91,695
Bonus
$18,339
$128,373
$238,407
Interview Experience
10 interviews
Difficulty
3.7
/ 5
Duration
21-35 weeks
Offer Rate
20%
Experience
Positive 10%
Neutral 10%
Negative 80%
Interview Process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Loop
6
Team Matching
7
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Leadership Principles
Technical Knowledge
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