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 and customer adoption of Generative AI and Agentic AI technologies. The role involves technical sales, solution advisory, and customer engagement to translate AI capabilities into business value.

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. Create thoughtful account plans and territory strategies in partnership with internal teams, while maintaining accurate forecasting using CRM tools
  3. Collaborate with customers to identify and qualify high-impact AI use cases aligned to their business priorities and strategic objectives
  4. Act as a trusted advisor on AWS GenAI and Agentic AI services, helping customers understand potential outcomes, value, and return on investment
  5. Lead technical discovery sessions and contribute to demonstrations, proofs of concept, and solution design, including model selection, fine-tuning, and deployment approaches

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
  • Experience 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

  • technical AI knowledge
  • customer-centric, outcomes-focused approach to revenue growth
  • complex AI adoption journeys
  • technical sales professionals
  • high-impact AI use cases
  • model selection, fine-tuning, and deployment approaches
  • responsible AI practices
  • governance considerations
  • compliance requirements
  • decision-makers and executive stakeholders
  • technical or solution-oriented sales
  • complex, multi-stakeholder sales engagements
  • managing pipelines
  • explain complex technical topics
  • Generative AI technologies
  • foundation models, LLMs, or autonomous agent frameworks
  • AI model development, fine-tuning, or production deployment
  • prompt engineering, retrieval-augmented generation (RAG) architectures, fine-tuning techniques, and AI deployment patterns