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Senior ProServe Account Executive , AWS Professional Services - Telco

Amazon

Senior ProServe Account Executive , AWS Professional Services - Telco

Amazon

Dubai, ARE

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Health benefits

Team trips

Sales training

Generous PTO

Healthcare

Unlimited Pto

Required Skills

Zoom

LinkedIn Sales Navigator

Outreach

The Amazon Web Services Professional Services (Pro Serve) team is seeking a dynamic Pro Serve Account Executive (PAE) to join our team at Amazon Web Services (AWS). In this role, you'll be responsible for engaging new and existing customers in transformative projects involving IT Strategy, distributed architecture, and hybrid cloud operations. You'll work closely with Pro Serve Cloud Architects, Engagement Managers, and Delivery Consultants to drive customer success and business growth. As Pro Serve’s customer facing relationship owner you’ll be primarily focused on understanding and defining business outcomes for customers by building trust, identifying applicable AWS Professional Services offerings, and creating proposals and securing customer signoff of SOW’s. Following project launch, you will stay connected with the customer to ensure we are delivering the agreed customer business outcomes (CBO) as outlined in the SOW. Your experience in selling services within the technology/consulting sector, will equip you with the ability to translate technical concepts into business value for customers. You will demonstrate proficiency in business development, executing sales methodologies and managing CRM systems coupled with strong analytical, problem-solving, and project management abilities. PAEs performance will be measured against key metrics including but not limited to Revenue, Billable Bookings, and customer satisfaction (CSAT). The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.
Key job responsibilities
As an experienced services sales professional, you will be responsible for: Leading business development efforts by engaging customers and driving high-value engagements Collaborating with Amazon Global Sales (AGS) representatives to ensure a coordinated approach for key accounts Creating proposals, securing customer sign-off on Statements of Work (SOWs), and ensure successful project delivery Monitoring ongoing projects to ensure delivery of agreed CBOs and maximize revenue potential Advocating for customers while balancing AWS business objectives
About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Mentorship and Career Growth:

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Basic Qualifications

  • • 7+ years of technical specialist, design and architecture experience
  • • 5+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience
  • • 7+ years of consulting, design and implementation of serverless distributed solutions experience
  • • 5+ years of software development with object oriented language experience
  • • 3+ years of cloud based solution (AWS or equivalent), system, network and operating system experience
  • • 7+ years of external or internal customer facing, complex and large scale project management experience
  • • Bachelor's degree, or 7+ years of professional or military experience

Preferred Qualifications

  • Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies
    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

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

2 data points

L2

L3

L4

L5

L6

L2 · Data Analyst L2

0 reports

$108,330

total / 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