Cloud Support Specialist

vast.ai United State
Remote
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AI Summary

Provide high-volume customer support for AI projects and businesses. Troubleshoot GPU rental issues, help clients run AI workloads, and support hosts. Strong communication and technical skills required.

Key Highlights
High-volume customer support
GPU rental issue troubleshooting
AI workload support
Key Responsibilities
Respond to a high volume of customer and host inquiries via chat and email with professionalism and clarity
Troubleshoot L1 issues related to GPU rentals, Docker containers, Linux environments, and account access
Maintain and improve support documentation and internal knowledge base articles
Technical Skills Required
Linux SysOps fundamentals Docker (containers, images, basic debugging) Strong English written communication
Benefits & Perks
Competitive salary
Yearly Bonus (based on performance)
Paid Time Off
Medical, Dental & Vision Health Insurance
Life, Disability Insurance
Reimbursement for approved work expenses
Nice to Have
Familiarity with GPU drivers (NVIDIA CUDA) and GPU workloads
Experience with AI/ML frameworks (TensorFlow, PyTorch)

Job Description


About Us

Vast.ai’s cloud powers AI projects and businesses all over the world. We are democratizing and decentralizing AI computing—reshaping our future for the benefit of humanity.


We value curiosity, ownership, and continuous learning. You’ll have the opportunity to dive into state-of-the-art AI systems while collaborating with a globally distributed team. We encourage and support growth into specialized or leadership tracks as our startup continues to scale.


About the Role

This is a high-volume, customer-facing L1 support role. You will be the first voice our customers and GPU hosts hear when something goes wrong — and how you handle that moment matters as much as whether you can technically diagnose it.


Success in this role is roughly equal parts people skills and technical knowledge. If you're a strong communicator who happens to know Linux and Docker, you'll thrive here. If you're deeply technical but find customer interaction draining or difficult, this likely isn't the right fit.


You will handle a steady stream of chat and email tickets — diagnosing GPU rental issues, helping clients run AI workloads, supporting hosts, and escalating what you can't resolve. Previous experience in a customer support or technical support role is strongly preferred.


Vast.ai users or hosts strongly preferred.


This is a full-time, remote position anywhere in the United States (Eastern and Central Timezones preferred).


Vast.ai users or hosts strongly preferred.


Key Responsibilities

50% Communication and Support / 50%Technical Knowledge


  • Respond to a high volume of customer and host inquiries via chat and email with professionalism and clarity
  • Troubleshoot L1 issues related to GPU rentals, Docker containers, Linux environments, and account access
  • Set clear expectations, communicate status updates, and follow up until issues are resolved
  • Identify, document, and escalate issues that require L2/engineering attention
  • Maintain and improve support documentation and internal knowledge base articles


You Are

  • Genuinely energized by helping people — you don't just tolerate customer interaction, you're good at it
  • A clear, confident written communicator — especially under pressure or with frustrated customers
  • Patient and methodical when working through ambiguous or technically complex problems
  • Comfortable working independently in a fast-paced, remote environment including weekends & holidays
  • Detail-oriented with strong follow-through — you close the loop, you don't drop tickets
  • Curious about AI, GPU computing, or cloud infrastructure


Must-haves

  • Previous experience in customer support or technical support (B2C or B2B)
  • Strong English written communication — clear, professional, and empathetic in tone
  • Linux SysOps fundamentals — comfort with the command line, file systems, permissions
  • Working knowledge of Docker (containers, images, basic debugging)
  • Demonstrated ability to handle frustrated or confused customers constructively


Nice-to-haves

  • Familiarity with GPU drivers (NVIDIA CUDA) and GPU workloads
  • Experience with AI/ML frameworks (TensorFlow, PyTorch)
  • Prior experience in a cloud or infrastructure support role
  • Knowledge of the Vast.ai platform as a client or host
  • Familiarity with VMs and virtualization


Benefits

  • Competitive salary
  • Yearly Bonus (based on performance)
  • Paid Time Off
  • Medical, Dental & Vision Health Insurance
  • Life, Disability Insurance
  • Reimbursement for approved work expenses
  • Fast growing, ambitious startup environment

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