GenAI GTM Leader for Enterprise AI (APAC)

Amazon Inc.

Singapore

On-site

SGD 120,000 - 180,000

Full time

14 days+

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Job summary

Amazon is seeking a Sr. Worldwide Specialist for Amazon Quick GenAI to lead go-to-market strategies across enterprise and mid-market customers in Asia.

The role focuses on driving adoption of GenAI capabilities, advising C-suite and technical leaders, and shaping engagement strategies from proof-of-concept to production. The position requires deep GenAI knowledge, experience selling to executives, and the ability to build strategic partnerships with customers, partners, and internal teams to

Qualifications

  • 5+ years of direct sales or business development selling to C-level executives.
  • Deep understanding of generative AI, large language models (LLMs), and enterprise AI applications.

Responsibilities

  • Drive adoption of Amazon Quick's GenAI capabilities with key enterprise and mid-market customers.
  • Serve as trusted advisor to C-suite and technical leaders, helping them understand how generative AI transforms business intelligence, data analytics, and decision-making.
  • Develop and execute customer engagement strategies that accelerate proof-of-concept to production deployment.
  • Build deep relationships with customers across industries to understand their GenAI challenges and opportunities.

Skills

C-level sales
Generative AI understanding
SaaS sales experience
Strategic market development

Education

MBA or related advanced degree

Tools

AWS services (Quick, QuickSight, Amazon Q)

Job description

Amazon is seeking a Sr. Worldwide Specialist for Amazon Quick GenAI to lead go-to-market strategies across enterprise and mid-market customers in Asia.

The role focuses on driving adoption of GenAI capabilities, advising C-suite and technical leaders, and shaping engagement strategies from proof-of-concept to production. The position requires deep GenAI knowledge, experience selling to executives, and the ability to build strategic partnerships with customers, partners, and internal teams to

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