Amazon Principal ML Specialist Generative AI AWS Services 

United States, Washington, Seattle 

896017456

Basic qualifications
• Degree in a highly quantitative field (Computer Science, Machine Learning, Operations Research, Statistics/ Math etc.) or equivalent experience.
• 7+ years of product management, business development and/or technical pre-sales roles at B2B companies (Enterprises, Startups, Management consulting or System Integration Services Companies, preferably in Analytics, IoT, ML, AI).
• Go-to-market experience in driving adoption of new products/services/features across a large customer base with demonstrable results delivered.
• Experience in managing multiple initiatives simultaneously (campaigns, projects, launches etc.) working across multiple functional teams (Product, Marketing, SAs, Specialist Sellers).
• Experience managing, tracking, and communicating subjective and objective business performance, risks and projections.
• Experience in advocating on customers behalf by understanding their pain points, helping customers navigate through technology options and adoption challenges, and conveying insights back to product teams.Additional Preferred qualifications
• Experience in inventing and simplifying the positioning for complex product portfolios with price, performance tradeoffs and communicating it to field teams and customers.
• Experience driving outbound product management, business development and/or technical pre-sales for end-end solutions consisting of several products/services.
• Experience in aligning goals and objectives and building consensus across multiple functional teams.
• Experience coaching and developing other product/business development managers.
• Technical/business background in deep learning / generative AI.
• Publications or presentation in recognized deep learning / generative AI journals and/or conferences
• MBAKey job responsibilities
Seattle, WA, USA

- 7+ years of professional or military experience
- Bachelor's degree
- Experience developing strategies that influence leadership decisions at the organizational level