Senior AI Sales Specialist (startup), Aws Global Sales

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

Senior AI Sales Specialist for AWS, focusing on Generative AI and Agentic AI technologies for startup customers. The role involves understanding customer goals, translating AI capabilities into business value, supporting adoption at scale, and contributing to revenue growth. Responsibilities include sales target achievement, account planning, technical discovery, solution design guidance, and customer engagement.

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. Lead technical discovery sessions and contribute to demonstrations, proofs of concept, and solution design, including model selection, fine-tuning, and deployment approaches
  4. Build and maintain strong relationships with decision-makers and executive stakeholders through a consultative, collaborative approach
  5. Share customer insights and feedback with AWS AI product teams to help inform product direction and improvements

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
  • 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

  • strong technical AI knowledge
  • revenue growth
  • complex AI adoption journeys
  • technical sales
  • Generative AI technologies
  • foundation models
  • LLMs
  • autonomous AI agents
  • model evaluation
  • responsible AI practices
  • governance considerations
  • compliance requirements
  • prompt engineering
  • retrieval-augmented generation (RAG) architectures
  • fine-tuning techniques
  • AI deployment patterns