About this role
Role Overview
The Strategic Technical Account Manager GPU position at Vultr is a remote, full-time sales department role based in the United States, offering a salary between $115,000 and $140,000 per year. This position suits professionals with a strong technical background in AI, machine learning, or high-performance computing who excel at guiding customers through complex cloud GPU deployments and post-sales success.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
Vultr operates as a major cloud infrastructure platform dedicated to making high-performance cloud environments easy to use, affordable, and locally accessible across thirty-three global data center locations. Trusted by hundreds of thousands of active customers across 185 countries, the organization delivers flexible cloud compute, cloud GPU, bare metal, and cloud storage solutions. Recognized as the world's largest privately-held cloud infrastructure company, Vultr is self-funded and backed by substantial equity financing.
How to Apply
Interested candidates should visit the official Vultr careers page on constant.com to submit an application for this remote position.
Skills and tech stack
Questions candidates ask
What is the salary range for the Strategic Technical Account Manager GPU role?
The salary ranges from $115,000 to $140,000 per year, which can vary based on location, years of experience, background, and skill set.
Is this a remote position?
Yes, this role is remote within the United States.
How much experience is required for this job?
The role requires 2 to 5 or more years of relevant experience as an AI/ML Engineer, AI/ML Ops, Technical Account Manager, HPC Engineer, or Sales/Solutions Engineer.
What benefits does Vultr offer to employees?
Vultr provides 100% company-paid medical, dental, and vision insurance, a 401(k) with up to a 4% match, $2,500 annual professional development reimbursement, PTO, remote office stipends, internet and gym reimbursements, and other wellness benefits.
What specific technical skills are mentioned for the role?
Key technical skills and tools include PyTorch, TensorFlow, Kubernetes, LLMs, RAG, SLURM, Linux tuning, and networking fabrics like InfiniBand and RoCE.
