Senior AI Specialist Sales

Amazon Amazon · Big Tech · Seoul, South Korea · Sales, Advertising, & Account Management

Senior AI Specialist Sales professional to drive adoption of AWS's full stack AI services across AWS Global Sales in Korea. This role partners closely with customers to understand their goals, translate complex AI capabilities into clear business value, and support successful adoption at scale.

What you'd actually do

  1. 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
  2. Act as a trusted advisor on AWS GenAI and Agentic AI services, helping customers understand potential outcomes, value, and return on investment
  3. Build and maintain strong relationships with decision-makers and executive stakeholders through a consultative, collaborative approach
  4. Engage C-suite executives to drive AWS AI services adoption: CEOs (business transformation), CTOs/CAIOs (technical architecture), CFOs (ROI models), line of business owners (use cases). Lead AI-focused Executive Briefing Centers, board presentations, and strategic planning workshops.
  5. Provide guidance on model evaluation, responsible AI practices, governance considerations, and relevant compliance requirements

Skills

Required

  • 7+ years of experience in technology roles, including technical or solution-oriented sales
  • demonstrated history of contributing to revenue goals
  • Experience supporting complex, multi-stakeholder sales engagements
  • managing pipelines with a focus on accuracy and transparency
  • Strong communication skills
  • ability to explain complex technical topics in a clear, engaging way for both technical and executive audiences

Nice to have

  • 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

What the JD emphasized

  • technical sales
  • revenue growth
  • AI adoption
  • GenAI
  • Agentic AI
  • foundation models
  • LLMs
  • autonomous AI agents
  • model selection
  • fine-tuning
  • deployment approaches
  • model evaluation
  • responsible AI practices
  • governance considerations
  • compliance requirements
  • prompt engineering
  • retrieval-augmented generation (RAG) architectures
  • fine-tuning techniques
  • AI deployment patterns