Amazon Senior Partner Strategist Generative AI Innovation Center 

United States, Texas, Dallas 

582355909

Key job responsibilities
• Support AWS partners on Generative AI opportunities where the partner and AWS would jointly help customers explore the art of the possible with generative AI and machine learning, and to develop a roadmap to deliver business value in the most effective way
• Discuss complex business concepts with executives, line managers and technologists
• Engage with various AWS teams, including applied scientists, solutions architects, business development, marketing, industry specialists, partners and regional organizations
• Drive large, complex sales opportunities from ideation, through vision building and scoping, all the way to closure and into delivery
• Conduct workshop sessions to identify opportunities with our customers to scope how they could deliver business value through the use of generative AI or machine learning
• Set up and lead new partner mechanisms as needed. Write business review reports for specific partners or for programs.
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
Work/Life BalanceMentorship 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.

- Bachelor's degree, or 7+ years of professional or military experience
- 5+ years of experience in the industry as a ML practitioner or executive
- Experience participating in the sales lifecycle (directly or indirectly)
- Experience in management consulting or related work
- Experience launching programs, projects, or related work that include the following: big data, analytics, artificial intelligence, and machine learning