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# Sr. Go-To-Market (GTM) Specialist, Database...

- **Company:** Amazon.com, Inc.
- **Location:** Jersey City, NJ, United States
- **Experience:** Expert
- **Salary:** $162,700.0 - $220,200.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Apache HTTP Server, Databases, AWS Data Analytics
- **Published:** July 8, 2026
- **Apply:** https://www.juju.com/job/00000000ges1d4

## About the Role

Position may require the ability to travel 25% of the time, as needed., 5+ years of Go-To-Market, Business Development, Sales, or Consulting experience

 - 6+ years of solving problems with technology in the Global Financial Services Industry experience

 - Experience leading complex, multi-year initiatives that may be cross-functional and/or span business and technology

Preferred Qualifications

 - Master's degree in management, business administration, economics, engineering, marketing, or Bachelor's degree

 - Experience identifying, negotiating, and executing complex legal agreements

 - Experience interpreting data and making business recommendations across leadership and cross-functional teams

 - Experience in Go-To-Market, Business Development, Sales, or Consulting

 - 5+ years of solving problems with technology in the Global Financial Services Industry experience

## Description

Develop and execute GTM strategies that accelerate adoption of storage services and interoperable open data architectures on AWS

Position AWS storage and analytics services with multi-engine analytics and data-ready AI environments leveraging open table formats such as Apache Iceberg

Identify and scale repeatable customer engagement models, enterprise architectural ready GTM assets, and data modernization strategies that drive adoption of AWS data services

Partner across AWS data, storage, analytics specialist, and partner organizations to define and operationalize best practices for interoperable and hybrid data architectures

Build scalable field enablement, positioning, and guidance for open data architecture strategies and multi-engine analytics and scalable storage patterns

Analyze customer adoption trends, competitive dynamics, and market signals to identify growth opportunities and influence GTM priorities


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