Job ID: 3148146 | Amazon Web Services Korea LLC
Job Overview
Come join the AWS Korea Data & AI Sales Specialist team and help make GenAIML history! Hundreds of thousands of customers rely on AWS AIML (Artificial Intelligence/Machine Learning), designed from the ground up to support the needs of modern GenAIML applications. As an AIML Sales Specialist, you will help shape the future of the AI/ML and further establish AWS as the clear leader in cloud computing. We are seeking experienced enterprise IT sales specialists who can help deliver AWS AI/ML, GenAIML and Agentic AI value to the Korea’s most forward‑thinking customers.
Key Responsibilities

Manage a portfolio of 20+ AWS AI/ML services including SageMaker, SageMaker Hyperpod, Bedrock (1P, 3P models), Q Devepoer/Business, Personalize, Kendra, Forecast and so on
Educate account teams on AI/ML, GenAIML and Agentic AI messaging, programs and services
Partner with Go-To-Market specialist and solutions architecture teams to accelerate AI/ML, GenAIML and Agentic AI opportunities within strategic customer segments and key accounts
Meet or exceed annual revenue targets
Manage a robust sales pipeline and maintain an accurate revenue forecast
Develop long‑term and strategic relationships with key accounts and stakeholders

A Day in the Life
AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology, and unwavering support. We dive deep to understand each customer’s unique challenges, then craft innovative solutions that accelerate their success. This customer‑first approach is how we built the world’s most adopted cloud. Join us and help us grow.
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
AWS values curiosity and connection. Our employee‑led and company‑sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
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.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Basic Qualifications

13+ years of technology/software sales experience
3+ years of exceeding quota and key performance metrics experience
3+ years of GenAI technology/software sales experience
Experience using English communication skills, both written and verbal, to foster seamless interaction with stakeholders at all levels
Knowledge of one or more industry analytics visualization tools like Excel, Tableau, AWS QuickSight, MicroStrategy or PowerBI, and statistical methods like t‑test or Chi‑squared

Preferred Qualifications

Experience working within a global company, with multi‑country responsibilities
Experience proactively growing customer relationships within an account while expanding their understanding of the customer’s business
Experience in direct sales or business development in software, cloud or SaaS markets selling to C‑level executives

Equal Opportunity Employer
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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