Responsibilities

• Partner with product management and sales teams to develop product strategies in AI with a direct focus on model development, inference, and ML Ops
• Create and own positioning and messaging that clearly articulates value propositions to customers
• Analyze and synthesize market data from multiple sources (including direct customer feedback) to identify product opportunities and shape portfolio strategy
• Lead product launch strategies and associated plans, including naming, target audience definition, and marketing vehicles
• Develop technical content including presentations, demonstrations, and reference architectures that educate customers on AWS' AI offerings in model training, model customization, MLOps, and Inference
• Represent AWS as a product evangelist in executive briefings, industry events, and analyst interactions
• Drive field enablement strategies to support product launches, campaigns, and customer success
• Aligns with technical and business leaders on AI use cases for their specific ideal customer profiles; defines best practice architecture and services for each use case

Requirements

• 4+ years experience working directly with customers on adoption of cloud-based products and services
• 4+ years working knowledge of cloud-based architectures in AI (Machine learning, Generative AI, Agentic AI)
• Bachelor's degree in Computer Science or similar field or equivalent experience

Preferred

• 4+ years of cloud architecture and solution implementation experience
• Bachelor's degree in Computer Science, Engineering, a related field, or equivalent experience
• 4+ architectures in one or more technical domains (ML, Generative AI, Agentic AI)

Benefits

• Inclusive culture and accessibility accommodations during the application process.
• Mentorship and career growth
• Work/Life Balance and flexible working culture