POSTED Jul 22
Sr. GenAI Labs Builder Solutions Architect, WWSO GenAI Labs
at Amazon ⋅ US, NY, New York
Are you a customer-obsessed builder with a passion for helping customers achieve their full potential? Do you have the business savvy, Generative AI and Machine Learning background, and sales skills necessary to help position AWS as the cloud provider of choice for customers? Do you love building new strategic and data-driven businesses? Join the Worldwide Specialist Organization (WWSO) GenAI team as a GenAI Labs Builder SA!
Key job responsibilities
• Represent the voice of the customer; collaborate with field and central teams to bring customer feedback to product teams. Lead curation of custom feature and availability requests for unique customer use cases.
• Provide advanced technical knowledge to your aligned GTM teams to unblock our customers’ largest and most critical business challenges.
• Along with your extended team, own the technical bar for specialist technical artifacts and standards.
• Collaborate with your GTM colleagues to provide technical insights into GTM strategy and support field marketing to execute local technical events, campaigns, and customer engagements.
• Act as a thought leader sharing best practices through forums such as AWS blogs, whitepapers, reference architectures and public-speaking events such as AWS Summit, AWS re: Invent, etc.
• Guide and Support an AWS internal community of technical subject matter experts aligned to your customers. Create field enablement materials for the broader SA population to help them understand how to integrate new AWS solutions into customer architectures.
A day in the life
The WWSO Generative AI GenAI Labs 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 GenAI Labs Builder SA, your job is to create high-quality go-to-market (GTM) collateral, including customer and internal demos, hands-on labs, workshops, POC accelerators and AWS Solutions. You combine product development skills with agility, building high-quality software that uses GenAI and highlights AWS capabilities in this area. 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 GenAI stack.
About the team
The Worldwide Specialist Organization (WWSO) is part of AWS Sales, Marketing, and Global Services (SMGS), which is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. We work backwards from our customer’s most complex and business critical problems to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar businesses. WWSO teams include business development, specialist and technical solutions architecture. As part of WWSO, you'll provide expertise across the entire life cycle of an AWS customer initiative, from developing ideas for new services to accelerating the adoption of established businesses. We pride ourselves on thinking big, delivering exceptional results for our customers, and working across AWS as #OneTeam.
Key job responsibilities
• Represent the voice of the customer; collaborate with field and central teams to bring customer feedback to product teams. Lead curation of custom feature and availability requests for unique customer use cases.
• Provide advanced technical knowledge to your aligned GTM teams to unblock our customers’ largest and most critical business challenges.
• Along with your extended team, own the technical bar for specialist technical artifacts and standards.
• Collaborate with your GTM colleagues to provide technical insights into GTM strategy and support field marketing to execute local technical events, campaigns, and customer engagements.
• Act as a thought leader sharing best practices through forums such as AWS blogs, whitepapers, reference architectures and public-speaking events such as AWS Summit, AWS re: Invent, etc.
• Guide and Support an AWS internal community of technical subject matter experts aligned to your customers. Create field enablement materials for the broader SA population to help them understand how to integrate new AWS solutions into customer architectures.
A day in the life
The WWSO Generative AI GenAI Labs 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 GenAI Labs Builder SA, your job is to create high-quality go-to-market (GTM) collateral, including customer and internal demos, hands-on labs, workshops, POC accelerators and AWS Solutions. You combine product development skills with agility, building high-quality software that uses GenAI and highlights AWS capabilities in this area. 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 GenAI stack.
About the team
The Worldwide Specialist Organization (WWSO) is part of AWS Sales, Marketing, and Global Services (SMGS), which is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. We work backwards from our customer’s most complex and business critical problems to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar businesses. WWSO teams include business development, specialist and technical solutions architecture. As part of WWSO, you'll provide expertise across the entire life cycle of an AWS customer initiative, from developing ideas for new services to accelerating the adoption of established businesses. We pride ourselves on thinking big, delivering exceptional results for our customers, and working across AWS as #OneTeam.