Sr. Worldwide Specialist – Amazon Quick, Data & AI GTM

AMAZON WEB SERVICES SINGAPORE PRIVATE LIMITED; Singapore; On-site; SGD 150,000 - 210,000; Full time

Job summary

Amazon Web Services Singapore Private Limited seeks a Sr. Worldwide Specialist – GenAI for Amazon Quick to lead strategic engagement with enterprise and mid-market customers in Asia. You will drive adoption of GenAI capabilities, shape GTM strategy, and build a scalable specialist team.

You will advise C-suite and technical leaders on AI-driven insights and collaborate with partners to accelerate PoC to production deployments, while tracking market trends and informing product roadmaps.

Qualifications

• 5+ years of direct sales or business development selling to C-level executives.
• Deep understanding of generative AI and enterprise AI applications.

Responsibilities

• Drive adoption of Amazon Quick GenAI capabilities with enterprise and mid-market customers.
• Serve as trusted advisor to C-suite and tech leaders on AI-enabled decisions.
• Develop customer engagement strategies from PoC to production deployment.
• Build deep relationships across industries to uncover GenAI opportunities.

Skills

Sales leadership

Strategic thinking

Relationship building

Education

MBA or related advanced degree

Tools

AWS services

Job description

The Sr. Worldwide Specialist – GenAI for Amazon Quick is a strategic business development leadership position within the Worldwide Specialist Organization (WWSO) Generative AI team. This role is responsible for driving customer adoption, market positioning, and go-to-market strategy for Amazon Quick's generative AI capabilities across enterprise and mid-market customers in Asia

Key job responsibilities

• Drive adoption of Amazon Quick's GenAI capabilities (Amazon Q Business, Q Developer, and AI-powered analytics) with key enterprise and mid-market customers
• Serve as a 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 (financial services, manufacturing, healthcare, retail, etc.) to understand their GenAI challenges and opportunities

Market Positioning & Messaging

• Develop positioning, messaging, and value propositions for Amazon Quick relative to competitive alternatives
• Create and refine sales plays, customer case studies, and industry-specific use cases that demonstrate Quick's GenAI capabilities
• Track market evolution and competitive landscape; provide insights to product and marketing teams on market trends and customer needs
• Synthesize customer and partner feedback to inform product roadmap prioritization and service evolution

Sales Enablement & Team Leadership

• Educate and enable regional AI/ML specialists, account teams, and sales organizations on Amazon Quick's GenAI capabilities, assets, and go-to-market strategies
• Develop training materials, workshops, and enablement content for sales teams
• Collaborate with Solutions Architects and Technical Account Managers to support complex customer engagements
• Mentor junior specialists and build a high-performing specialist team

Strategic Partnerships & Ecosystem

• Engage with system integrators, consulting partners, and technology partners to co-develop solutions and accelerate customer adoption
• Identify partnership opportunities and develop joint go-to-market strategies
• Present to partner audiences at industry events and summits
• Build and maintain relationships with key industry analysts and thought leaders

Business Development & Growth

• Identify and pursue new market opportunities for Amazon Quick's GenAI capabilities
• Develop industry-specific strategies and vertical-focused initiatives
• Track key metrics: customer adoption, pipeline generation, revenue influence, and market share
• Contribute to quarterly business reviews and strategic planning with leadership

Basic qualifications

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

Preferred qualifications

• Experience working in large teams or at a national/multinational organization
• Experience with AWS services, particularly Amazon Quick, QuickSight, Amazon Q, or related AI/ML services
• Background in financial services, manufacturing, healthcare, or other key vertical markets
• MBA or advanced degree in related field