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

AI in this role

Lead go-to-market strategy and customer adoption for Amazon Quick's generative AI and business intelligence capabilities.

amazon-qgenerative-aiaws

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
ANZ – Australia & New Zealand
ASEAN – Southeast Asian nations (Singapore, Indonesia, Malaysia, Philippines, Thailand, Vietnam)
Korea (South Korea)
South Asia / India – India & Sri Lanka
Priority Countries (large, mature geographies)
Australia
India
Japan
Singapore
South Korea
Emerging & Fast-Growing Markets
Indonesia
Malaysia
New Zealand
Philippines
Thailand
Taiwan
Vietnam

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

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

How we rate this

Sr. Worldwide Specialist – Amazon Quick, Data & AI GTM at Amazon rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Amazon QGenerative AIAWS

Questions you could be asked

What's a project where you used Amazon Q hands-on?
Walk me through how you've used Generative AI in your day-to-day work.
What are the limits of AWS that you've run into, and how did you work around them?
Describe a typical day in a role like this one: which parts run through AI directly?
If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

List these exact terms on your resume: Amazon Q, Generative AI, and AWS. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.

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