Sr. GTM Specialist - Analytics, Data Architecture, Data & AI GTM

Job Description

The AWS Analytics GTM team is seeking a Senior Worldwide GTM Specialist to help accelerate adoption of open data architectures on AWS. This role will focus on driving strategic GTM initiatives that position AWS as a foundational platform for interoperable, multi‑engine data and AI architectures built on open table formats such as Apache Iceberg, with AWS analytics services serving as key components of these modern architectures.

• Develop and execute GTM strategies that accelerate adoption of open data architectures and interoperable analytics patterns on AWS.
• Position AWS analytics services within multi-engine analytics and AI environments leveraging open table formats such as Apache Iceberg.
• Identify and scale repeatable customer engagement models, architectural GTM plays, and modernization strategies that drive adoption of AWS analytics services.
• Partner across AWS analytics, specialist, and partner organizations to define and operationalize best practices for interoperable and hybrid analytics architectures.
• Build scalable field enablement, positioning, and guidance for open data architecture strategies and multi-engine analytics patterns.
• Analyze customer adoption trends, competitive dynamics, and market signals to identify growth opportunities and influence GTM priorities.

• 5+ years of Go‑To‑Market, Business Development, Sales, or Consulting experience.
• 5+ years of working with Data & AI related technologies, including AI/ML, GenAI, Analytics, Database, and/or Storage experience.
• Experience developing strategies that influence leadership decisions at the organizational level.
• Experience managing programs across cross‑functional teams, building processes and coordinating release schedules.
• Experience selling enterprise software or cloud‑based applications.
• Experience explaining complex technical concepts to various business and technical audiences.
• Experience presenting to both technical and non‑technical executive audiences.
• Experience leading complex, multi‑year initiatives that may be cross‑functional and/or span business and technology.
• Technical familiarity with Apache Iceberg, open table formats, interoperable analytics architectures, and modern data processing ecosystems.

• Experience interpreting data and making business recommendations across leadership and cross‑functional teams.
• Experience delivering technology products or services in a high‑growth environment.
• Experience working with open data architectures and multi‑engine analytics ecosystems.
• Experience partnering across product, field, and partner organizations to drive large‑scale GTM initiatives.
• Experience influencing product direction through customer and market feedback.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

USA, CA, Mountain View:  –  USD annually
USA, CA, San Francisco:  –  USD annually
USA, NY, New York:  –  USD annually
USA, VA, Arlington:  –  USD annually
USA, WA, Seattle:  –  USD annually