Sr. Amazon Q Strategist, Amazon Q Customer Success Team
AWS Amazon Q Customer Success Team (Q-CST) members leverage their deep knowledge of AWS services and market trends in collaboration with our sales and partner teams to propose, architect, and implement transformational solutions for customers.
We make customer success a reality using AWS Gen AI services as an enabler.
Amazon Q Strategists are dynamic professionals who architect and propel customer success, expertly guiding organizations from initial proof-of-concept to full-scale production implementation of Amazon Q. These visionaries excel at crafting strategic roadmaps that expand Amazon Q's footprint across the enterprise, driving innovation and efficiency.With a strong executive presence, they skillfully navigate interactions with internal leadership (VPs, Directors) and diverse stakeholders, while rapidly building trust with Account Teams and customers at all levels, from Enterprise Architects to C-Suite executives.
As technology specialists with keen business acumen, they possess the unique ability to identify high-impact use cases, quantify value, and drive measurable ROI, positioning them as indispensable partners in their customer' digital transformation journeys.
Strategists orchestrate contractual agreements, align customer expectations, and ensure flawless delivery of solutions. This hybrid role combines AWS expertise, hands-on building skills, and cross-industry business acumen. Ideal candidates are customer-obsessed professionals who seamlessly blend technical expertise with strategic insight to drive outcomes, while maintaining a strong commitment to continuous learning and growth.
Key job responsibilities- Lead comprehensive generative AI transformation programs from sales to delivery, partnering closely with customers to drive successful adoption, implementation, and measurable business value realization
- Orchestrate high-level discussions on complex, industry-specific business and technical concepts, fostering alignment among C-suite executives, line managers, and technologists.
- Design and facilitate engaging workshops that bridge customer technical and business teams, showcasing the transformative potential of Amazon Q and our Gen AI offerings to uncover high-impact business value opportunities
- Support delivery teams with hands-on programming, blocker remediation, escalations, and ideating and delivering custom solutions when needed
- Cultivate and maintain strong, trusting relationships with both customers and internal stakeholders including the Generative AI Innovation Center, solutions architects, service teams, business development, marketing, industry specialists, partners and regional organizations
- Stay informed on Amazon Q service updates and advancements in generative AI technology through continuous learning and industry engagement
- Proactively identify areas for improvement across processes and initiatives, taking ownership to develop and implement effective solutions
About the team
ABOUT AWS:
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We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
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Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.- BA/BS degree with vertical industry sales and delivery experience with cloud services and solutions
- 7+ years of consulting, architecture/design, and implementation of cloud-based solutions
- 7+ years of external or internal customer facing, complex and large scale project management experience
- 3+ years of experience as an AI/ML practitioner or implementing generative AI solutions- Experience leading the architecture and implementation of AI/ML workloads
- Experience driving large user adoption programs for Gen AI solutions
- Proven track record of delivering robust, scalable solutions in complex technical environments
- International consulting or professional services sales and delivery experience
- Experience evaluating customer market conditions, organizational readiness, and C-Level engagement to drive strategic transformation initiatives
- Vertical industry sales and delivery experience of cloud services and solutions
- Experience with selling consulting/professional services
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