Amazon Web Services (AWS) is looking for experienced and motivated business-oriented technologists to support customers looking to enhance their business or operational outcomes through the use of advanced and emerging technologies, specifically focusing on analytics/big data, machine learning, and generative artificial intelligence.
Requirements
- 5+ years of experience in the industry as a ML practitioner or executive
- Experience launching technically complex programs, projects, or related work that include the following: big data, analytics, artificial intelligence, and machine learning
- Experience with writing communications such as strategy papers or white papers
- Participated in the product management and marketing lifecycles (directly or indirectly)
- Experience with presenting to audiences of 5 to 50 people of various levels (developers to executives) and backgrounds (business, technical, operations)
Responsibilities
- Bring alignment between customer’s technologists and business leads; help them to 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 industry-specific 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
Other
- Bachelor's degree in computer science, engineering, mathematics or equivalent
- Experience participating in the sales lifecycle (directly or indirectly)
- Experience in management consulting or related work
- Passion for educating, training, designing, and building solutions for a diverse and challenging set of customers ranging from midsized organizations to Fortune 100 customers
- Advanced degree desired (e.g., MBA, MS)
