Are you energized to drive adoption of generative AI and machine learning technologies at AWS customers and service evolution of these technologies with AWS Service leadership? Are you passionate about understanding how other cloud service providers and ISV vendors are also driving product and GTM strategies as alternative offerings with our customers? AWS is seeking a Go-To-Market (GTM) Specialist to evaluate and understand options available to customers for a managed GenAI and machine Learning offerings in the industry, how customers value and utilize such services and products and help drive SageMaker as the service that creates the most value and return on investment for our customers.

Key job responsibilities
You will help build positioning and messaging for SageMaker relative to alternatives available to customers, track the evolution of GenAI offerings across the industry and help inform service teams on service evolution based on your insights. You will educate and enable regional AI/ML specialist sales and AWS account teams on the assets and insights that you develop. You will be engaging directly with key customers and system integration partners on a weekly basis to understand their needs in generative AI and machine learning managed services and, as their trusted advisor, position the right sales plays and help them adopt the right SageMaker Service capabilities. You will synthesize data and information gathered from these customers and partners to refine your messaging and assets share these insights with others in the team and with product management to help influence SageMaker sales plays and roadmap prioritization. This entails garnering impactful customer and market insights, communicating those findings to SageMaker WW Specialist and Service teams.
The candidate will possess business development experience in positioning and driving adoption of machine learning, deep learning, or generative AI products/services. They will have experience in driving engagements and interactions directly with customers at the highest levels of large enterprises and technology partners. The candidate will have technical background and business experience to communicate the benefits of using managed ML services in AWS to ML platform engineering, data science and business intelligence teams with Directors, VPs of these teams and with C-Level executives and earn trust with them. They will have used this background to launch and drive scale campaigns and sales plays with broader field teams to drive product/service adoption at scale. Finally, the candidate will have experience in, and be passionate about enabling specialist sellers and field teams on how to position and sell products/services in machine learning, deep learning, or generative AI with strong IDE offerings.

A day in the life
The candidate will drive engagements and interactions directly with customers at the highest levels of large enterprises and technology partners. They will utilize their technical knowledge and business experience to communicate the benefits of using managed ML services in AWS to ML platform engineering and data science teams with Directors, VPs of these teams and with C-Level executives. They will evaluate alternative managed GenAI and Machine Learning offerings available to customer to better understand cross industry trends and create assets the highlight differentiation of AWS service capabilities. They will enable field AI/ML specialist, partnership and account teams on these assets, conduct customer webinars, and device scale campaigns to drive revenue growth and opportunity pipeline. They will lead monthly calls with service teams to help service team members understand how customers perceive of our offerings and help prioritize the right features and capabilities to help customers. They will work with account teams and customers to help secure commitment for public references. Finally, they will magnify the impact of their work, by sharing insights with peers and Leadership utilizing Amazon’s business writing practices.

About the team
We are a small world-wide team of Machine Learning, Deep Learning and Generative AI Go-to-Market specialists with a unique blend of product management, technical business development and sales backgrounds, driving global adoption and scaling of Amazon SageMaker as a managed ML and GenAI Service.

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