Worldwide Specialist, GenAI, AWS GenAI Go-To-Market Team
Amazon.com
Are you customer-obsessed with a passion for helping customers achieve their full potential? Do you have the business savvy, Data, Analytics, and/or Machine Learning background, and sales skills necessary to help customers navigate GenAI adoption? Do you love building new strategic and data-driven businesses? Join the Worldwide GenAI Specialist team as a Sr. GTM Specialist.
Key job responsibilities
+ Work with go-to-market and marketing teams to plan and execute monthly field-activation campaigns, gather learnings, and report results and insights
+Create field- and customer-facing assets to help drive use case discovery and opportunity qualification
+ Become a trusted business advisor for sales teams, and within customer accounts, for solutions that combine Analytics, Generative AI, and/or Machine Learning technology.
+ Interact with developers and technical architects, to ease adoption, develop pipeline, and secure lighthouse customers.
+ Develop and deploy programs that leverage AWS Field teams, as well as technology and consulting partner channels.
+ Collaborate with AWS Product and Technical teams to create solutions that solve customer problems, including customer case studies, reference architectures, patterns, automation, and release plans.
+ Work with Sales, Marketing, Partners and other specialists to develop and align marketing campaigns to drive awareness and demand.
A day in the life
The Generative AI go-to-market (GTM) team is central to the changes generative AI will have on our customers, industries, and the world. We make AWS the best place for our customers and partners to build and deploy their GenAI workloads. As a Sr. GTM Specialist, GenAI, your job is to create high-quality GTM collateral, including internal strategy
documents, sales guides, and customer-facing content. You will work alongside GenAI solution architects to orchestrate and plan relevant technical guides, demos, hands-on labs, workshops, POC accelerators and AWS Solutions. You
combine deep product expertise with agility, being the first to leverage your content with high-value customers, and then scale and distribute that content among sales teams helping customers with their Analytics and GenAI workloads. You are comfortable discussing complex technical details with a room full of engineers as you are briefing an executive audience. You can learn new concepts and tools quickly and work at all levels of the Storage, Database, Analytics and GenAI stacks.
About the team
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.
Mentorship & Career Growth: We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance: We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
Inclusive Team Culture: Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the 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.
Key job responsibilities
+ Work with go-to-market and marketing teams to plan and execute monthly field-activation campaigns, gather learnings, and report results and insights
+Create field- and customer-facing assets to help drive use case discovery and opportunity qualification
+ Become a trusted business advisor for sales teams, and within customer accounts, for solutions that combine Analytics, Generative AI, and/or Machine Learning technology.
+ Interact with developers and technical architects, to ease adoption, develop pipeline, and secure lighthouse customers.
+ Develop and deploy programs that leverage AWS Field teams, as well as technology and consulting partner channels.
+ Collaborate with AWS Product and Technical teams to create solutions that solve customer problems, including customer case studies, reference architectures, patterns, automation, and release plans.
+ Work with Sales, Marketing, Partners and other specialists to develop and align marketing campaigns to drive awareness and demand.
A day in the life
The Generative AI go-to-market (GTM) team is central to the changes generative AI will have on our customers, industries, and the world. We make AWS the best place for our customers and partners to build and deploy their GenAI workloads. As a Sr. GTM Specialist, GenAI, your job is to create high-quality GTM collateral, including internal strategy
documents, sales guides, and customer-facing content. You will work alongside GenAI solution architects to orchestrate and plan relevant technical guides, demos, hands-on labs, workshops, POC accelerators and AWS Solutions. You
combine deep product expertise with agility, being the first to leverage your content with high-value customers, and then scale and distribute that content among sales teams helping customers with their Analytics and GenAI workloads. You are comfortable discussing complex technical details with a room full of engineers as you are briefing an executive audience. You can learn new concepts and tools quickly and work at all levels of the Storage, Database, Analytics and GenAI stacks.
About the team
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.
Mentorship & Career Growth: We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance: We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
Inclusive Team Culture: Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the 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.
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