Sr. Specialist - GenAI, Foundation Models, Data & AI GTM

Do you want to help define the future of Go to Market (GTM) at AWS for generative AI (GenAI)? You will be part of the core worldwide GenAI Foundation Models GTM team focused on GenAI infrastructure for model training. You will be responsible for defining, building, and deploying targeted strategies to accelerate adoption of our services and solutions with lighthouse Frontier AI model builders across segments and industry verticals.

You will be working directly with the most important customers in the GenAI model training and inference space helping them adopt and scale large‑scale workloads (e.g., foundation models) on AWS, developing GTM plans, external/internal evangelism, and developing demos and proof‑of‑concepts.

• Work closely with customers to understand the AI infrastructure requirements, complexities involved in scaling GenAI model training across modalities and use‑cases that take advantage of the power of AWS’ storage, compute, networking, and GenAI technologies.
• Define GTM strategies and lead cross‑functional initiatives to expand existing markets, develop scalable programs to drive adoption, and identify new opportunities. Activities include market sizing, building an opportunity pipeline, working with customers to understand technical requirements for proof‑of‑concepts, creating content to train the field teams, driving industry thought‑leadership, working with product teams to define new features, and identifying partners and potential acquisitions.

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. 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 Amazon Sage Maker and Amazon EC2 product teams to shape product vision and prioritize features for GenAI infra. A keen sense of ownership, drive, and being scrappy is a must.

• 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

• 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

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants:
Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the…