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Strategic Technical Account Manager GPU

April 30, 2026

<h2>Who We Are</h2>Vultr is on a mission to make high-performance cloud infrastructure easy to use, affordable, and locally accessible for enterprises and AI innovators around the world. With 32 global cloud data center locations, Vultr is trusted by hundreds of thousands of active customers across 185 countries for its flexible, scalable, global Cloud Compute, Cloud GPU, Bare Metal, and Cloud Storage solutions. In December 2024 Vultr announced an equity financing at a $3.5 billion valuation. Founded by David Aninowsky and self-funded for over a decade, Vultr has grown to become the world’s largest privately-held cloud infrastructure company.<h3>Vultr Cares</h3>100% company-paid insurance premiums for employee medical, dental and vision plans. 401(k) plan that matches 100% up to 4%, with immediate vestingProfessional Development Reimbursement of $2,500 each year11 Holidays + Paid Time Off Accrual + Rollover Plan Commitment matters to Vultr! Increased PTO at 3 year and 10 year anniversary + 1 month paid sabbatical every 5 years + Anniversary Bonus each year$500 stipend for remote office setup in first year + $400 each following yearInternet reimbursement up to $75 per monthGym membership reimbursement up to $50 per monthCompany paid Wellable subscription<h3>Join Vultr</h3>The GPU-focused Technical Account Manager (TAM) leads the post-sales technical success of customers deploying large-scale AI, training, inference, and high-performance GPU workloads on the company’s platform. This includes customers using NVIDIA GPU clusters, AMD GPU clusters, GPU VMs, and rack-scale bare-metal environments.You will act as a trusted advisor across LLM training, fine-tuning, RAG workloads, distributed training frameworks, storage throughput requirements, multi-GPU scaling, and performance tuning. This role requires deep technical fluency and exceptional customer management skills to help AI/ML teams achieve predictable, cost-efficient, high-performance outcomes.Key ResponsibilitiesAI/GPU Onboarding & Workload Architecture<ul style="min-height:1.5em"><li>Lead onboarding for customers deploying GPU clusters (bare metal, VMs, or hybrid).</li><li>Advise on cluster design: multi-GPU topology, NVLink/NVSwitch considerations, RDMA, Infiniband and RoCE Ethernet, networking throughput, and storage IOPS requirements.</li><li>Guide customers in selecting GPU types and configurations based on workload (training, fine-tuning, inference, embeddings, RAG pipelines).</li><li>Support distributed frameworks: PyTorch, TensorFlow, DeepSpeed, Megatron, JAX, Ray, Mosaic, HuggingFace, etc.</li><li>Advanced hands on Kubernetes skills</li><li>Advanced hands on SLURM skills</li></ul>Performance Optimization & Scaling<ul style="min-height:1.5em"><li>Identify bottlenecks (network, storage, memory bandwidth).</li><li>Provide tuning recommendations for batch size, mixed precision, parallelization strategies, and checkpointing.</li><li>Help customers evaluate cost vs. performance tradeoffs (GPU mix, CPU pairing, instance types, cluster sizing).</li></ul>Technical Relationship Ownership<ul style="min-height:1.5em"><li>Own the long-term technical strategy across assigned GPU/AI accounts, including hyperscalers, labs, and high-growth AI startups.</li><li>Host recurring technical review meetings, roadmap reviews, and optimization sessions.</li><li>Define scaling plans, future GPU reservation needs, and capacity forecasting.</li><li>Incident & Escalation Management</li><li>Partner with Support, SRE, Networking, NOC, and Product Management & Engineering to resolve high-urgency incidents.</li><li>Manage outage communications, corrective action plans, and postmortem reviews with customers.</li><li>Advocate for GPU reliability improvements and influence roadmap priorities.</li></ul>Account Growth & Expansion<ul style="min-height:1.5em"><li>Identify opportunities for expanded clusters, high speed storage, or networking upgrades.</li><li>Support Sales with technical validation and architecture diagrams needed for expansion.</li></ul>Customer Advocacy & Product Feedback<ul style="min-height:1.5em"><li>Provide structured feedback on existing and future GPU offerings, networking fabrics, storage platforms, and upcoming AI/ML platform features.</li><li>Partner with Product on early access programs (new GPUs, pipelines, orchestration, etc.).</li></ul> Qualifications<ul style="min-height:1.5em"><li>2–5+ years as an AI/ML Engineer, AI/ML Ops, Technical Account Manager, HPC Engineer, Sales/Solutions Engineer or relevant technical role.</li><li>Strong knowledge of GPU hardware architectures (NVIDIA/AMD), CUDA/ROCm, distributed training, and ML frameworks.</li><li>Experience with Linux tuning, networking (Infiniband, RoCE fabrics).</li><li>Experience with high-performance storage systems (DDN, NetApp, Vast, Weka, etc.).</li><li>Ability to communicate complex concepts clearly to both executives and engineering teams.</li><li>Prior experience supporting hyperscale, AI labs, or large cluster deployments is a plus.</li><li>Cloud Native Computing Foundation Certified Kubernetes Administrator (CKA) certification is a plus.</li></ul> Compensation$115,000 - $140,000This salary can vary based on location, years of experience, background and skill set.<h2>Inclusion & Privacy</h2>We are an equal opportunity employer and are committed to creating an inclusive environment for all employees. We welcome applications from individuals of all backgrounds and experiences, and we prohibit discrimination based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected status under applicable laws. Vultr will consider qualified applicants with arrest or conviction records in accordance with applicable laws and will not conduct a background check until after an offer of employment has been extended and accepted.We also take your privacy seriously. We handle personal information responsibly and follow applicable laws, including U.S. privacy rules and India’s Digital Personal Data Protection Act, 2023. Your data is used only for legitimate business purposes and is protected with proper security measures.Where allowed by law, applicants may request details about the data we collect, access or delete their information, withdraw consent for its use, and opt out of nonessential communications. For more details, please see our <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.vultr.com/legal/privacy/">Privacy Policy</a>.

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Common Interview Questions And Answers

1. HOW DO YOU PLAN YOUR DAY?

This is what this question poses: When do you focus and start working seriously? What are the hours you work optimally? Are you a night owl? A morning bird? Remote teams can be made up of people working on different shifts and around the world, so you won't necessarily be stuck in the 9-5 schedule if it's not for you...

2. HOW DO YOU USE THE DIFFERENT COMMUNICATION TOOLS IN DIFFERENT SITUATIONS?

When you're working on a remote team, there's no way to chat in the hallway between meetings or catch up on the latest project during an office carpool. Therefore, virtual communication will be absolutely essential to get your work done...

3. WHAT IS "WORKING REMOTE" REALLY FOR YOU?

Many people want to work remotely because of the flexibility it allows. You can work anywhere and at any time of the day...

4. WHAT DO YOU NEED IN YOUR PHYSICAL WORKSPACE TO SUCCEED IN YOUR WORK?

With this question, companies are looking to see what equipment they may need to provide you with and to verify how aware you are of what remote working could mean for you physically and logistically...

5. HOW DO YOU PROCESS INFORMATION?

Several years ago, I was working in a team to plan a big event. My supervisor made us all work as a team before the big day. One of our activities has been to find out how each of us processes information...

6. HOW DO YOU MANAGE THE CALENDAR AND THE PROGRAM? WHICH APPLICATIONS / SYSTEM DO YOU USE?

Or you may receive even more specific questions, such as: What's on your calendar? Do you plan blocks of time to do certain types of work? Do you have an open calendar that everyone can see?...

7. HOW DO YOU ORGANIZE FILES, LINKS, AND TABS ON YOUR COMPUTER?

Just like your schedule, how you track files and other information is very important. After all, everything is digital!...

8. HOW TO PRIORITIZE WORK?

The day I watched Marie Forleo's film separating the important from the urgent, my life changed. Not all remote jobs start fast, but most of them are...

9. HOW DO YOU PREPARE FOR A MEETING AND PREPARE A MEETING? WHAT DO YOU SEE HAPPENING DURING THE MEETING?

Just as communication is essential when working remotely, so is organization. Because you won't have those opportunities in the elevator or a casual conversation in the lunchroom, you should take advantage of the little time you have in a video or phone conference...

10. HOW DO YOU USE TECHNOLOGY ON A DAILY BASIS, IN YOUR WORK AND FOR YOUR PLEASURE?

This is a great question because it shows your comfort level with technology, which is very important for a remote worker because you will be working with technology over time...