회사명	아마존(Amazon)
포지션	Frontier AI Partner Development Manager, Korea Partner Orgaznization
근무지	서울특별시 강남구 테헤란로 231 (역삼동, 센터필드 서관 12층)
고용형태	정규직
경력	5년 이상

회사 소개

Amazon Web Services (AWS) is looking for a world-class partner and alliance builder to join the Korea Partner Team as a Principal Partner Development Manager (PDM) for Frontier AI. In this role, you will have the exciting opportunity to establish and scale frontier AI partnerships that drive AWS cloud adoption across Korea. You will lead the end-to-end go-to-market strategy with frontier AI model partners—including Anthropic and OpenAI—and drive customer adoption at scale during a critical growth window.

주요 업무

Lead strategic relationship management for frontier AI partners, contributing to partner business planning and driving mutual accountability for capability development
Actively contribute to top frontier AI deals through technical validation, partner orchestration, and executive engagement
Conduct regular partner pipeline and revenue performance reviews, providing data-driven recommendations to accelerate opportunity progression
Own the design and delivery of frontier AI partner enablement programs, ensuring partners develop comprehensive go-to-market capabilities
Establish systematic collaboration with specialist sales teams on strategic frontier AI initiatives
Serve as the expert voice on frontier AI partner strategy and market dynamics for Korea
Align with AI specialist sales teams on top AI partner deals, removing blockers and matching the right partners to customer opportunities
Review partner pipeline health and provide data-driven recommendations to partner managers
Enable PDMs/PSMs and cross-functional teams on AI strategy, funding mechanisms, and market intelligence
Engage AI partners on business planning, capability development, and go-to-market execution

자격요건

5+ years of developing, negotiating and executing business agreements experience
5+ years of Go-To-Market, Business Development, Sales, or Consulting experience
Bachelor's degree
Experience presenting to both technical and non-technical executive audiences
5+ years of working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience