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Senior Account Manager (GameTech), AWS Taiwan Sales Team

Amazon

Senior Account Manager (GameTech), AWS Taiwan Sales Team

Amazon

Taipei, TPE, TWN

·

On-site

·

Full-time

·

3w ago

Would you like to be part of the top growing team in AWS Taiwan to drive the adoption of AWS services with Game Tech team? Do you have the business savvy and technical literacy necessary to work with businesses large and small?

AWS is seeking an experienced sales professional to help manage the customer relationship in Game Tech industry. As an Sr. Account Manager, you will have the exciting opportunity to help drive the growth and shape the future of Cloud Computing adoption within the most dynamic companies in Taiwan. Your responsibilities will include communicating with the customer’s leadership team, with the goals of maximizing customer success and customer satisfaction.

  • Key job responsibilities
  • Drive cloud usage growth and market share in the assigned territory
  • Meet or exceed quarterly business goals.
  • Develop and execute against a comprehensive account/territory plan.
  • Create & articulate compelling value propositions around AWS services.
  • Work with partners to extend reach & drive adoption.
  • Manage and support customer interactions
  • Develop long-term strategic relationships with key accounts.
  • Ensure customer satisfaction.
  • The account manager will closely work with customers in Game Tech industry to promote AWS services in a defined territory or industry vertical and help customer to adopt cloud as a trusted advisor.
  • The account should maintain a robust opportunity pipeline and work with partners to extend reach & promote adoption.
  • The account manager should orchestrate resources for executions in center of engagement and work with Solutions Architect, Business Development Manager, Professional Service, Partner Manager, and necessarily global service team to execute plan.

Basic Qualifications

  • 10+ years of direct sales or business development in software, cloud or SaaS markets selling to C-level executives experience
  • 7+ years of business development, partner development, sales or alliances management experience
  • Experience communicating complex concepts clearly and persuasively to different audiences

Preferred Qualifications

  • Experience driving adoption of new and disruptive technologies
  • Experience managing strategic accounts and working with multiple business units and technology teams
  • Understanding of AI and ML applications in Gaming, including generative AI use cases, predictive analytics, and intelligent automation
  • A strong understanding of AWS and/or technology as a service would be preferred but not required

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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About Amazon

Amazon

Amazon

Public

Amazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.

10,001+

Employees

Seattle

Headquarters

$1.5T

Valuation

Reviews

2.9

10 reviews

Work-life balance

2.8

Compensation

3.7

Culture

2.5

Career

2.3

Management

2.1

35%

Recommend to a friend

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

4 data points

L2

L3

L4

L5

L6

L2 · Data Analyst L2

0 reports

$108,330

total per year

Base

$43,332

Stock

$54,165

Bonus

$10,833

$75,831

$140,829

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