This position is part of the AWS Specialist and Partner Organization (ASP). Specialists own the end-to-end go-to-market strategy for their respective technology domains, providing the business and technical expertise to help our customers succeed. Partner teams own the strategy, recruiting, development, and growth of our key technology and consulting partners. Together they provide our customers with the expertise and scale needed to build innovative solutions for their most complex challenges. As a Senior Customer Success Specialist GenAI within the AWS Specialists & Partners (ASP) Customer Success Center of Excellence org, you will drive enterprise adoption and measurable customer business value realization for AWS generative AI services by developing and executing comprehensive customer success strategies. You will architect the frameworks, programs, and playbooks that enable AWS teams and partners to unlock value for customers through optimal adoption of AWS generative AI services. This role combines strategic thinking with operational excellence and generative AI focused technical aptitude to create repeatable, scalable mechanisms, and assets, that transform how AWS and our partners deliver customer success. You will maintain an in-depth knowledge of AWS's Generative AI services and relevant cross-functional areas to build strong relationships with field teams, and customers. By driving the adoption of Generative AI technologies, you will play a pivotal role in propelling AWS's revenue growth while helping customers stay ahead of the curve in a rapidly evolving technological landscape. You exercise learn & be curious to articulate AWS’ Gen AI strategy and the services we offer to accelerate adoption. You conduct compelling executive conversations on the transformational possibilities of generative AI and data, while also being capable of helping our customers navigate which features to apply for their use-cases. You can describe the “why” and “what” of generative AI use case and technical solutions at a 200-level, with the detailed “how” being provided by solution architects. IMPORTANT NOTE: This role requires specific experience leading organizational AI transformation. While valuable, experience as an AI practitioner (e.g., data scientist, ML engineer, AI researcher) without transformation leadership experience does not meet the requirements for this position.
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Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees