Amazon Sr Worldwide Specialist – GenAI/ML 

United States, Washington, Seattle 

419805243

Key job responsibilities
You will help develop the industry’s best cloud-based solutions to grow the GenAI business. Working closely with our product and field teams and partners like ISVs and 3rd party model providers, you will help enable new capabilities for our customers to develop and deploy GenAI workloads across Edge devices and AWS. This involves activities like market sizing, building an opportunity pipeline, working with customers to understand technical requirements for proof-of-concepts (POC), creating content to train the field teams, and driving thought-leadership.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 GenAI model providers, Edge device vendors, and our solutions architects to help them define and implement scalable GenAI solutions to solve them. You will also work closely with account teams and product teams to drive model implementations and develop new solutions.
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 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.

- 7+ years of business development, product management, management consulting, and strategic partnership experience.
- 3+ years of business development, product management, management consulting, and strategic partnership experience in Edge device systems or solutions.
- Experience with GenAI/LLM in a business development/partner capacity.
- Strong verbal and written communications skills and ability to lead effectively across organizations.

- 10+ years of pre-sales engineering, technical business development, enterprise sales, strategic partnerships, or program/product management experience.
- Thorough understanding of AI/ML technology stack and experience with cloud computing and or related fields.
- MBA degreePursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.