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 building new businesses? AWS is seeking a Go-To-Market (GTM) Specialist to drive business development efforts to scale world-wide adoption of key components of AWS AI/ML platform. As GenAI/ML Specialist you will be responsible for defining, building and deploying targeted programs to accelerate worldwide adoption of SageMaker AI.
The ideal candidate will possess outbound product management or business development experience in machine learning, deep learning, or generative AI. They will have experience in driving engagements and interactions directly with customers at large enterprises and technology partners. The candidate will have technical knowledge and business experience to communicate the benefits of using managed ML/Deep Learning/GenAI services to ML platform engineering, data science and business intelligence teams at Manager and Director levels at our customers. Finally, the candidate will have experience in, and be passionate about executing scalable programs that apply holistic, business problem-driven approaches to selling to enterprises and enterprise partners.
Key job responsibilities
Be the outward face of AWS generative AI and machine learning by defining and executing go-to-market activities for Amazon SageMaker. You will be working hand-in-hand with AWS generative AI and machine learning Solution Architects, Product Managers and Marketing Managers to run world-wide sales plays and campaigns that target specific customer cohorts and drive specific use-cases and service capabilities. You will be engaging directly with customers’ business stakeholders on a daily basis to understand their needs in generative AI and machine learning and help them adopt the right Service capabilities. Your work will drive the process that regional AI/ML presales and account teams will follow to accelerate sales and partner engagements of the AWS ML Services portfolio and you will synthesize data and information gathered from these customers and partners into your GTM strategy to successfully scale service adoption. This entails developing and driving messaging with pre-sales and sales teams, garnering impactful customer and market insights, communicating those findings to product teams. This also involves educating and enabling regional AI/ML presales and AWS account teams to drive effective sales plays and campaigns to accelerate worldwide adoption of AWS ML Services.
A day in the life
The candidate will drive outbound product management and business development for deep learning and generative AI. They will drive engagements and interactions directly with customers at large enterprises and technology partners. They will utilize their technical knowledge and business experience to communicate the benefits of using SageMaker AI to ML platform engineering and data science teams with Managers and Directors of these teams. They will work with a technology ecosystem of generative AI and machine learning vendors, partners and customers, to execute on the GTM strategies. They will build consensus across multiple functional teams (Product, Marketing, SAs, Specialist Sellers) by driving scalable programs that apply holistic, business problem-driven approaches to selling to enterprises and enterprise partners.
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
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Work/Life Balance
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