Senior Genai / Agentic AI Sales Manager, Aws Global Sales, Specialist

Amazon Amazon · Big Tech · 13, Japan +1 · Sales, Advertising, & Account Management

Senior GenAI / Agentic AI Sales Manager for AWS Global Sales, focusing on driving revenue growth by helping customers understand and adopt Generative AI and Agentic AI technologies. The role involves technical sales, solution advisory, and customer engagement to translate complex AI capabilities into 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. Lead technical discovery sessions and contribute to demonstrations, proofs of concept, and solution design, including model selection, fine-tuning, and deployment approaches
  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 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
  • Native-level Japanese
  • Business-level English

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

  • revenue goals
  • complex, multi-stakeholder sales engagements
  • Generative AI technologies
  • foundation models
  • LLMs
  • autonomous agent frameworks
  • AI model development
  • fine-tuning
  • production deployment
  • prompt engineering
  • retrieval-augmented generation (RAG) architectures
  • fine-tuning techniques
  • AI deployment patterns