Amazon Business Development Lead Gen AI AWS Industries 

United States, Washington, Seattle 

441350652

AWS values diverse experiences. Even if you do not meet all of the 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 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.Work/Life Balance
Key job responsibilities
In this role, You will have the opportunity to define GTM strategies and lead cross-functional initiatives to expand existing markets, develop scalable programs to drive adoption, and identify new opportunities. This involves activities include market sizing, building an opportunity pipeline, working with customers to understand technical requirements for proof-of-concepts, creating content to train the field teams, driving industry thought-leadership, working with specialist teams to identify new features required and influence the service teams, and identifying partners and potential acquisitions.You will drive the development of the GTM plan for building and scaling GenAI on AWS, interact with customers directly to understand their business problems, and work with 3rd party model providers and our solutions architects to help them define and implement scalable GenAI solutions to solve them.

- 6+ years of business development, product management, management consulting, and strategic partnership
- 2+ years with GenAI/LLM in a business development/partner capacity.
- 2+ years interfacing with GenAI/ML customers and partners.
- 5+ years developing and executing on strategic GTM strategies.
- 5+ years developing strategies that influence leadership decisions at the organizational level

- 5+ years of pre-sales engineering, technical business development, enterprise sales, strategic partnerships, or program/product management experience
- Deep hands-on understanding of deep learning and other ML algorithms
- Thorough understanding of AI/ML technology stack
- Experience with cloud computing and or related fields
- Demonstrated ability to work effectively across internal and external organizations is keyPursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.