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Amazon

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

Tokyo, JPN

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hirly's read of this role

Seniority
Senior
Country
JP
Work mode
Remote-friendly
First seen by hirly
27 Sept 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

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 Japan.

Key job responsibilities

  • Customer Engagement & Adoption
  • 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 working with Advanced Compute technologies including, but not limited to: Accelerated Compute, High Performance Compute, Visual/Spatial Compute, and/or IoT. experience
  • - Experience selling enterprise software or cloud-based applications
  • - Experience engaging with and influencing C-level executives
  • - Travel up to 30% of the time
  • - 6+ years of experience in business development, sales, or technical roles in enterprise software, cloud services, or AI/ML solutions
  • - Proven track record of driving customer adoption and revenue growth for complex, innovative technology solutions
  • - Fluency in both Japanese and English

Preferred qualifications

  • - Experience interpreting data and making business recommendations
  • - Experience identifying, negotiating, and executing complex legal agreements
  • - Ability to influence and lead without direct authority; mentor and develop others
  • - Business Acumen: Understanding of business metrics, ROI, and value proposition development
  • - Deep understanding of generative AI, large language models (LLMs), and enterprise AI applications

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.

Original posting on Amazon's site ↗

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