Are you a customer-obsessed builder with a passion for helping customers achieve their full potential through Data & AI technology? Do you have the business savvy, technology background, and sales skills necessary to help position AWS as the cloud provider of choice for customers? Do you love building new strategic and data-driven businesses? Join the Worldwide Public Sector (WWPS) US-Federal Specialist team as a Senior Data & AI Area Specialist!
Key job responsibilities
As a Data & AI Sales Specialist, you will own growing adoption, utilization, and revenue for an AWS Data & AI services for the US-Federal market. You will gather customer and industry needs and partner with AWS product teams to innovate, develop, and deliver AWS Data & AI offerings.
The ideal candidate will possess both a business and technical background that enables them to drive an engagement and interact at the CxO/VP level, as well as Enterprise architects. He/she should also have a demonstrated ability to think strategically and analytically about business, product, and technical challenges, with the ability to build and convey compelling value propositions, and work cross-organizationally to build consensus.
Roles & Responsibilities:
- Meet or exceed quarterly revenue targets.
- Work with partners to extend reach & drive adoption.
- Develop long-term strategic relationships with key accounts.
- Accelerate customer adoption.
- Maintain a robust sales pipeline.
- Create & articulate compelling value propositions around AWS services specific to the CxO level.
- Ensure customer satisfaction.
This position requires that the candidate selected be a US citizen.
A day in the life
You will work directly with customers to understand their business objectives and develop a Data and AI plan to use AWS Data & AI services to deliver the mission.
About the team
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have twelve employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.
Key job responsibilities
As a Data & AI Sales Specialist, you will own growing adoption, utilization, and revenue for an AWS Data & AI services for the US-Federal market. You will gather customer and industry needs and partner with AWS product teams to innovate, develop, and deliver AWS Data & AI offerings.
The ideal candidate will possess both a business and technical background that enables them to drive an engagement and interact at the CxO/VP level, as well as Enterprise architects. He/she should also have a demonstrated ability to think strategically and analytically about business, product, and technical challenges, with the ability to build and convey compelling value propositions, and work cross-organizationally to build consensus.
Roles & Responsibilities:
- Meet or exceed quarterly revenue targets.
- Work with partners to extend reach & drive adoption.
- Develop long-term strategic relationships with key accounts.
- Accelerate customer adoption.
- Maintain a robust sales pipeline.
- Create & articulate compelling value propositions around AWS services specific to the CxO level.
- Ensure customer satisfaction.
This position requires that the candidate selected be a US citizen.
A day in the life
You will work directly with customers to understand their business objectives and develop a Data and AI plan to use AWS Data & AI services to deliver the mission.
About the team
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have twelve employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.