Job Description

DESCRIPTION


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 Training and Inference team, 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-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 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 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. 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.







About the team

Diverse Experiences

AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.


Why AWS?

Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating -- that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture

AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.

Mentorship & Career Growth

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Work/Life Balance

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BASIC QUALIFICATIONS

Bachelor's degree in technical discipline with experience in accelerated compute, CUDA, and distributed training. Experience in business development, product management, management consulting, and managing strategic partnerships. Experience developing and executing on GTM strategies that are large in scope. Working knowledge of one or more ML Frameworks (e.g., PyTorch, JAX), GenAI model architectures, and cloud services.
PREFERRED QUALIFICATIONS

MBA/MS or equivalent relevant business experience. Hands-on working knowledge of deep learning and other ML algorithms and infrastructure. Worked as pre-sales engineering, technical business development, strategic partnerships manager, or in program/product management. Demonstrated ability to work effectively across internal and external organizations is key in a matrix environment. Strong verbal and written communications skills and ability to lead effectively across organizations. Experience speaking at technology conferences, as well as communicating across the organization from technical staff to VP/CxOs. Experience in a heavily matrixed sales environment, including developing, implementing, managing, and executing go-to-market growth initiatives and sales motions.


Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.



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



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