Amazon Senior Customer Success Specialist - GenAI 

United States, Washington, Seattle 

400885363

You will maintain an in-depth knowledge of AWS' Generative AI services and relevant cross-functional areas to build strong relationships with field teams, and customers. By driving the adoption of Generative AI technologies, you will play a pivotal role in propelling AWS' revenue growth while helping customers stay ahead of the curve in a rapidly evolving technological landscape. You exercise learn & be curious to articulate AWS’ Gen AI strategy and the services we offer to accelerate adoption. You conduct compelling executive conversations on the transformational possibilities of generative AI and data, while also being capable of helping our customers navigate which features to apply for their use-cases. You can describe the “why” and “what” of generative AI use case and technical solutions at a 200-level, with the detailed “how” being provided by solution architects.Key job responsibilities
Strategic customer engagement:Adoption program development:
- As an adoption expert, create and maintain best practices documentation, implementation guides, and training materials to be applied across multiple service domains.
- Track and analyze adoption metrics to measure effectiveness and identify areas for improvement.
- Develop governance frameworks for sustainable adoption at scale across domains.
Customer success management:
Product feedback loop:
- Collect and communicate customer feedback, insights, and requirements to Go-To-Market teams.AWS 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.Mentorship & Career GrowthWe’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.Work/Life Balance

- 4+ years of leading large-scale, technical or engineering transformation with a proven record of thought leadership, business case development, realizing customer benefits, and change management experience
- 2+ years of customer-facing work, engaging with customer executives, technologists or partners to solve business problems with advanced technologies experience
- Bachelor's degree in science, technology, engineering, math, business or equivalent
- Experience leading technical and non-technical transformation project teams with a proven ability to work across broad functional teams

- AWS certifications such as AWS SAA, Machine Learning Associate.
- Experience implementing cloud services including migrations and modernization projects or similarPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.