Sr. Worldwide Specialist - GenAI, Foundation Models, Data & AI GTM
About the role
The Sr. Worldwide Specialist - GenAI, Foundation Models, Data & AI GTM will help define the future of Go to Market (GTM) at AWS for generative AI (GenAI). They will be part of the core worldwide GenAI Foundation Models GTM team focused on GenAI infrastructure for model training. The role involves working directly with lighthouse Frontier AI model builders across segments and industry verticals to define, build, and deploy targeted strategies to accelerate adoption of AWS services and solutions.
Responsibilities
- Understand AI infrastructure requirements and complexities involved in scaling GenAI model training across modalities and use-cases that leverage AWS' storage, compute, networking, and GenAI technologies.
- Define, lead, and execute GTM strategies to expand existing markets, develop scalable programs to drive adoption, and identify new opportunities.
- Work with customers to understand technical requirements for proof-of-concepts, create content to train field teams, and develop industry thought leadership.
- Collaborate with Amazon SageMaker and Amazon EC2 product teams to shape product vision and prioritize features for GenAI infra.
- Create compelling content and scalable programs to increase awareness and adoption of ML Frameworks and AWS solutions.
Requirements
- Experience in business development, direct technology services sales, partnership management, or sourcing new business.
- 5+ years of customer-facing product development and product management, including defining, launching, and optimizing product and services experience.
- 5+ years of Go-To-Market, Business Development, Sales, or Consulting experience.
- 5+ years of working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience.
Qualifications
- Experience with SLURM, Kubernetes, GenAI infra platforms such as Fireworks.
- Experience in GPU architecture, AI models, distributed training and inference.
- Experience in end-to-end model development lifecycle.
Benefits
Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance, 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.