AWS Senior AI Specialist Sales – Amazon Quick
Job Summary
Key requirement: Ability to engage with CEO/LOB owners for strategic conversations to leverage AI for business transformation as well as with CTO/CAIO for AI-implementation linked technical architecture conversations. AI specialist solution architects will support for Level 300 deep dives.
Key job responsibilities
Engage C-suite executives to drive Amazon Quick adoption: CEOs (business transformation) CTOs/CAIOs (technical architecture) CFOs (ROI models) line of business owners (use cases). Lead AI-focussed Executive Briefing Centers board presentations and strategic planning workshops.
Drive adoption and revenue for Amazon Quick as the platform of choice to solve enterprise productivity analytics and workflow challenges across industries.
Articulate differentiated value of Quicks AI agents Spaces Flows Research and embedded analytics capabilities to C-level and technical stakeholders translating features into quantified business outcomes (ROI time-to-insight automation savings).
Develop and execute account strategies that land and expand Quick across Free Plus Professional and Enterprise tiers identifying up sell opportunities as customers mature from basic chat to full-stack BI automation and enterprise governance.
Collaborate cross-functionally with Solutions Architects Product and Partner teams to deliver compelling demos proof-of-value engagements and enterprise security narratives (HIPAA FedRAMP SOC2) that accelerate deal closure.
Solution Design & Sales Execution: Structure C-suite conversations on business outcomes that can be delivered using AI. Identify high-value industry-aligned use cases. Develop compelling business cases with quantified ROI and time-to-value. Own revenue targets for Amazon Quick for assigned territories. Manage end-to-end sales cycles. Lead POCs and pilots.
Thought Leadership: Represent AWS at industry-aligned events. Develop executive presentations thought leadership and case studies. Provide market insights to inform AWS product roadmaps
About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
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Work/Life Balance
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Inclusive Team Culture
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Mentorship and Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
- Bachelors degree or 5 years of working with Data & AI related technologies including but not limited to AI/ML GenAI Analytics Database and/or Storage experience
- Experience demonstrating technical breadth in AWS and/or cloud fundamentals
- Experience in direct sales or business development in software cloud or SaaS markets selling to C-level executives
- - Technical Expertise: Proven experience in sales and/or practitioner roles across end-to-end AI value chain incl. LLMs foundation models RAG model fine-tuning ML Ops and AI infrastructure (GPUs custom silicon and accelerated compute).
- - Consultative selling with discovery problem framing solution design. Strong business acumen across financial modeling ROI analysis competitive dynamics. Experience managing complex multi-stakeholder sales cycles.
- AWS certification
- - MBA or Bachelors degree in computer science engineering analytics mathematics statistics IT or equivalent
- - Experience with AI/ML technologies
- - Experience working as Chief AI Officer AI Practice leader or AI Solution Leader.
- - Work experience in ISV/DNB/Startup sector with Hyperscalers Strategy Consulting Technology consulting arm of Big 4 AI consulting/services firms GSIs GCCs ISVs
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Required Experience:
Senior IC
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