Amazon
Job ID: 3153088 | Amazon Web Services Korea LLC
Would you like to be part of a team shaping the future of the IT industry through responsible and innovative use of Artificial Intelligence? Amazon Web Services (AWS) is advancing the next evolution of cloud computing with Generative AI and Agentic AI technologies. We are seeking a Senior GenAI / Agentic AI Sales Specialist who brings strong technical AI knowledge together with a customer‑centric, outcomes‑focused approach to revenue growth.
This role partners closely with customers to understand their goals, translate complex AI capabilities into clear business value, and support successful adoption at scale. If you enjoy collaborating with diverse stakeholders, communicating technical concepts with clarity, and contributing to long‑term customer success, we encourage you to apply.
AWS Global Sales supports customers of all sizes across the region to innovate and grow in the cloud. As organizations increasingly adopt foundation models, large language models (LLMs), and autonomous AI agents, we are expanding our team of technical sales professionals who can identify opportunities, build sustainable pipelines, and guide customers through complex AI adoption journeys across the Korea region.
Key Job Responsibilities
Support the achievement of sales targets by developing and maintaining a healthy pipeline and guiding customers through end‑to‑end sales cycles, from discovery through agreement. Create thoughtful account plans and territory strategies in partnership with internal teams, while maintaining accurate forecasting using CRM tools. Collaborate with customers to identify and qualify high‑impact AI use cases aligned to their business priorities and strategic objectives. Technical Sales & Solution Advisory
Act as a trusted advisor on AWS GenAI and Agentic AI services, helping customers understand potential outcomes, value, and return on investment. Lead technical discovery sessions and contribute to demonstrations, proofs of concept, and solution design, including model selection, fine‑tuning, and deployment approaches. Provide guidance on model evaluation, responsible AI practices, governance considerations, and relevant compliance requirements. Customer Engagement & Market Development
Build and maintain strong relationships with decision‑makers and executive stakeholders through a consultative, collaborative approach. Partner with internal teams to deliver workshops, enablement sessions, and solution reviews that support customer learning and adoption. Share customer insights and feedback with AWS AI product teams to help inform product direction and improvements. 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. 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. Basic Qualifications
7+ years of experience in technology roles, including technical or solution‑oriented sales, with a demonstrated history of contributing to revenue goals. Experience supporting complex, multi‑stakeholder sales engagements and managing pipelines with a focus on accuracy and transparency. Strong communication skills, with the ability to explain complex technical topics in a clear, engaging way for both technical and executive audiences. Preferred Qualifications
Experience working with Generative AI technologies, including foundation models, LLMs, or autonomous agent frameworks. Exposure to AI model development, fine‑tuning, or production deployment. Familiarity with prompt engineering, retrieval‑augmented generation (RAG) architectures, fine‑tuning techniques, and AI deployment patterns. Advanced degree (MS or PhD) in Machine Learning, Artificial Intelligence, Computer Science, or a related field. If you have a disability and need a workplace accommodation or adjustment during the application and hiring 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. Location: ES, Community of Madrid, Madrid 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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Support the achievement of sales targets by developing and maintaining a healthy pipeline and guiding customers through end‑to‑end sales cycles, from discovery through agreement. Create thoughtful account plans and territory strategies in partnership with internal teams, while maintaining accurate forecasting using CRM tools. Collaborate with customers to identify and qualify high‑impact AI use cases aligned to their business priorities and strategic objectives. Technical Sales & Solution Advisory
Act as a trusted advisor on AWS GenAI and Agentic AI services, helping customers understand potential outcomes, value, and return on investment. Lead technical discovery sessions and contribute to demonstrations, proofs of concept, and solution design, including model selection, fine‑tuning, and deployment approaches. Provide guidance on model evaluation, responsible AI practices, governance considerations, and relevant compliance requirements. Customer Engagement & Market Development
Build and maintain strong relationships with decision‑makers and executive stakeholders through a consultative, collaborative approach. Partner with internal teams to deliver workshops, enablement sessions, and solution reviews that support customer learning and adoption. Share customer insights and feedback with AWS AI product teams to help inform product direction and improvements. 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. 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. Basic Qualifications
7+ years of experience in technology roles, including technical or solution‑oriented sales, with a demonstrated history of contributing to revenue goals. Experience supporting complex, multi‑stakeholder sales engagements and managing pipelines with a focus on accuracy and transparency. Strong communication skills, with the ability to explain complex technical topics in a clear, engaging way for both technical and executive audiences. Preferred Qualifications
Experience working with Generative AI technologies, including foundation models, LLMs, or autonomous agent frameworks. Exposure to AI model development, fine‑tuning, or production deployment. Familiarity with prompt engineering, retrieval‑augmented generation (RAG) architectures, fine‑tuning techniques, and AI deployment patterns. Advanced degree (MS or PhD) in Machine Learning, Artificial Intelligence, Computer Science, or a related field. If you have a disability and need a workplace accommodation or adjustment during the application and hiring 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. Location: ES, Community of Madrid, Madrid 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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