Sr. Amazon Q Strategist, Amazon Q Customer Success Team
DESCRIPTION
AWS is known for its relentless customer obsession. Our Professional Services teams are on the front line of helping customers succeed using AWS technologies that align with the new ways of managing people and rearchitecting critical processes to leverage the capabilities of Gen AI. 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
- Manage internal processes for projects such as project updates, approvals (legal, finance, operations), resource allocation, budget, timeline, tracking key metrics, and weekly reporting
- 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:
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, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance
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. Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. 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. AWS Global Services
AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. You’ll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud.
BASIC QUALIFICATIONS
- Bachelor's degree in business administration, finance, economics, computer science, data science, engineering, or other related field- 7+ years of consulting, architecture/design, and implementation of cloud-based solutions
- 7+ years of external or internal customer facing and project management experience
- 5+ years of hands-on software engineering experience, with expertise in areas such as database management, application development, and AI/ML
- 3+ years of experience as an AI/ML practitioner or implementing generative AI solutions
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