雲端業務銷售工程師

Job Description

  • Act as a technical bridge between our sales team and customers, providing cloud solution consultations and architecture recommendations.
  • Understand client requirements and map them to Glows.ai’s GPU offerings.
  • Benchmark Glows.ai solutions against other cloud platforms (e.g., AWS EC2, 台智雲, Google cloud).
  • Collaborate with the product and engineering teams to tailor solutions for enterprise clients.
  • Assist with client onboarding, training, and technical documentation.
  • Prepare clear presentations, comparisons, and proposals for clients.
  • Requirements

  • Solid understanding of cloud infrastructure, especially IaaS and GPU-based services. 
  • Familiarity with AWS EC2, Taiwan Computing Cloud (TWCC/台智雲), and/or other GPU cloud providers.
  • Strong problem-solving skills and a consultative mindset.
  • Excellent communication skills in both English and Chinese (preferred).
  • Proficiency with productivity and documentation tools like Google Workspace, Notion, Excel, PowerPoint, and others.
  • Bonus: experience in AI/ML workflows, cloud cost optimization, or DevOps.
  • 1
    1 years of experience required
    38,000 ~ 45,000 TWD / month
    Optional Remote Work
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    About us

    Glows.ai is a global AI cloud computing service provider dedicated to offering cost-effective compute power and multi-cloud integration solutions, enabling efficient development of AI projects. By leveraging advanced overseas GPU resources and proprietary storage and compute scheduling systems, we deliver secure and stable AI computation capabilities to customers worldwide.

    Beyond compute power, Glows.ai helps clients build a comprehensive AI computing ecosystem from the ground up, providing a wide range of AI development tools, open-source frameworks, and middleware products. This significantly enhances user efficiency and engagement. Backed by an international R&D team and a robust support network, we ensure continuous technical support and service excellence. Our team boasts deep expertise and practical experience in AI, big data processing, and cloud computing.



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