Sr. Worldwide 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.

Key job responsibilities
In this role you will 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.

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 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 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 Amazon SageMaker 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.


About the team
Diverse Experiences
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- 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 material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.

Pursuant to the San Francisco Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at CA San Francisco - 179000.00 - 242200.00 USD annually
USA CA Santa Clara - 179000.00 - 242200.00 USD annually
USA NY New York - 179000.00 - 242200.00 USD annually
USA TX Dallas - 162700.00 - 220200.00 USD annually
USA WA Seattle - 162700.00 - 220200.00 USD annually