Do you want to define the Go-to-market strategy to win GenAI foundation model builders for AWS ? You will be part of the core worldwide GenAI team focused on model Training and Inference, responsible for defining, building, and deploying targeted strategies to accelerate customer adoption of our services and solutions across segments. You will be working directly with the most important customers in the GenAI model training and inference space helping them adopt and scale large workloads (e.g., foundation models) on AWS, developing GTM plans, and external/internal evangelism

In this role, you will work closely with customers to understand their GenAI infrastructure requirements, complexities involved in scaling model training across modalities and use-cases that take advantage of the power of AWS’ compute, networking, and GenAI technologies. You will have the opportunity to define GTM strategies and lead cross-functional initiatives to expand existing markets, develop scalable programs to drive adoption, and identify new opportunities. This involves activities such as building an opportunity pipeline, working with customers to understand technical requirements for proof-of-concepts, and creating content to train the field teams.

As the ideal candidate, you possess a business and technology background that enables you to lead and drive engagements with startups and large enterprises. You have domain expertise in key GenAI use cases, understand the challenges involved in training and deploying GenAI models, orchestrating workloads using containers/HPC services, and are able to work backwards from customer requirements to suggest scalable solutions and architectures. You have the technical depth to articulate the benefits of ML Frameworks and AWS services to data scientists, data engineers, and C-Level executives. In addition, you have a good understanding of the GenAI market trends, ecosystem, opportunities, and are passionate about market development. You will need to be adept at interacting, communicating, and partnering with teams within AWS (product, solutions architecture, sales, marketing, and professional services) and externally with customers, partners, and importantly, the developer community of ML Frameworks and key open-source offerings.

You will be responsible for creating compelling content, and building scalable programs and mechanisms to increase awareness and adoption of ML Frameworks and AWS solutions. Additionally, you will work with the AWS product teams to shape product vision and prioritize features for AI/ML Frameworks and applications. A keen sense of ownership, drive, and being scrappy is a must.



Key job responsibilities
Drive adoption of SageMaker HyperPod, EC2 accelerated compute and other Infrastructure services for GenAI training and inference.

Own field enablement and developing sales plays and campaigns to drive scale.