Senior Enterprise AI & App Modernization GTM Lead

Amazon

Seattle (WA)

On-site

USD 148,000 - 220,000

Full time

14 days+

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Job summary

Amazon, through its AWS division, seeks a Sr. Technical Business Development Specialist for Agentic AI in Application Modernization.

You will lead enterprise modernization initiatives, engage with CTOs/CIOs, and guide AWS specialists, architects, and account teams to drive adoption of Agentic AI across large customers. In this role, you will shape go-to-market strategies, partner with product teams, and represent AWS at industry events while delivering tangible business value through

Qualifications

6+ years of Enterprise Application Modernization and Migration technologies experience including Mainframe, Serverless, Containers, or Cloud Operations.
5+ years of Data & AI technologies including AI/ML, GenAI, Analytics, Database, and/or Storage experience.
5+ years of Go-To-Market, Business Development, Sales, or Consulting experience.
5+ years of core Cloud Technology Services including Compute, Edge, Hybrid, Security, and/or Networking experience.
Experience developing strategies that influence leadership decisions at the organizational level.
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 cross-functional initiatives.
Experience managing programs across cross functional teams, building processes and coordinating release schedules.

Responsibilities

Serve as the opportunity owner and primary point of contact for a portfolio of strategic customer accounts, acting as a strategic advisor for application modernization with Agentic AI services.
Deliver compelling presentations, product demos, sample solutions and programs to drive fast modernization with Agentic AI.
Build and engage with C-level stakeholders to understand the value proposition of modernization with AI.
Bring market signals back to product teams to drive innovation on AWS product roadmaps.
Own reporting and planning cadences to AWS executives on application modernization execution.
Demonstrate thought leadership and credibly represent AWS at industry events, conferences, symposiums, etc.