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Senior AI Sales Specialist, US EDU & SLG Data & AI Specialist Team

Amazon.com

$128,600 - $212,600
Aug 15, 2025
Seattle, WA, US
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Amazon Web Services (AWS) aims to establish itself as the leader in the cloud data & AI space by increasing adoption of AWS AI services among US Higher Ed / K12 institutions and driving revenue through consultative Generative AI engagements.

Requirements

  • Bachelor’s degree in Business, Computer Science, Engineering, Data Science, or a related field
  • 10+ years of direct experience in technology sales, business development, or technical sales roles
  • 5+ years of direct experience working with AI/ML, analytics, or cloud-based data platforms
  • Experience selling into or building solutions for US Higher Ed / K12 institutions
  • Technical Acumen in AI/ML: Deep understanding of AI/ML concepts including GenAI, LLMs, model lifecycle, data strategy, and AI/ML infrastructure
  • Familiarity with AI platforms (e.g., SageMaker, Bedrock, Vertex AI, Azure AI), MLOps tools, and cloud-native AI architectures
  • Understanding of industry-specific AI use cases and Responsible AI considerations

Responsibilities

  • AI solution and technology sales focused on US Higher Ed / K12 institutions
  • Engage customer key stakeholders in providing AI vision and direction
  • Focus on consultative Generative AI engagements around student, faculty, research and administrative functions to drive value and mission outcomes
  • Generate a plan to ensure broad Generative AI penetration into strategic AWS accounts
  • Land new AI workloads in existing AWS accounts and accelerate consumption for key accounts with ramping Data & AI spend
  • Dive deep on engaged opportunities and set forth a prescriptive plan to accelerate delivery of a comprehensive native solution
  • Run localized enablement sessions, curated sales assets, leveraging customer propensity buy signals

Other

  • Bachelor’s degree in Business, Computer Science, Engineering, Data Science, or a related field
  • MBA or Master’s in Computer Science, Engineering, Data Science, or Business
  • Work safely and cooperatively with other employees, supervisors, and staff
  • Adhere to standards of excellence despite stressful conditions
  • Communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service