[Hiring] Strategic Technical Account Manager GPU @Vultr

Role Description

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
• 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 Responsibilities

• AI/GPU Onboarding & Workload Architecture
  • Lead onboarding for customers deploying GPU clusters (bare metal, VMs, or hybrid).
  • Advise on cluster design: multi-GPU topology, NVLink/NVSwitch considerations, RDMA, Infiniband and RoCE Ethernet, networking throughput, and storage IOPS requirements.
  • Guide customers in selecting GPU types and configurations based on workload (training, fine-tuning, inference, embeddings, RAG pipelines).
  • Support distributed frameworks: PyTorch, TensorFlow, DeepSpeed, Megatron, JAX, Ray, Mosaic, HuggingFace, etc.
  • Advanced hands-on Kubernetes skills.
  • Advanced hands-on SLURM skills.
• Performance Optimization & Scaling
  • Identify bottlenecks (network, storage, memory bandwidth).
  • Provide tuning recommendations for batch size, mixed precision, parallelization strategies, and checkpointing.
  • Help customers evaluate cost vs. performance tradeoffs (GPU mix, CPU pairing, instance types, cluster sizing).
• Technical Relationship Ownership
  • Own the long-term technical strategy across assigned GPU/AI accounts, including hyperscalers, labs, and high-growth AI startups.
  • Host recurring technical review meetings, roadmap reviews, and optimization sessions.
  • Define scaling plans, future GPU reservation needs, and capacity forecasting.
• Incident & Escalation Management
  • Partner with Support, SRE, Networking, NOC, and Product Management & Engineering to resolve high-urgency incidents.
  • Manage outage communications, corrective action plans, and postmortem reviews with customers.
  • Advocate for GPU reliability improvements and influence roadmap priorities.
• Account Growth & Expansion
  • Identify opportunities for expanded clusters, high-speed storage, or networking upgrades.
  • Support Sales with technical validation and architecture diagrams needed for expansion.
• Customer Advocacy & Product Feedback
  • Provide structured feedback on existing and future GPU offerings, networking fabrics, storage platforms, and upcoming AI/ML platform features.
  • Partner with Product on early access programs (new GPUs, pipelines, orchestration, etc.).

Qualifications

• 2–5+ years as an AI/ML Engineer, AI/ML Ops, Technical Account Manager, HPC Engineer, Sales/Solutions Engineer or relevant technical role.
• Strong knowledge of GPU hardware architectures (NVIDIA/AMD), CUDA/ROCm, distributed training, and ML frameworks.
• Experience with Linux tuning, networking (Infiniband, RoCE fabrics).
• Experience with high-performance storage systems (DDN, NetApp, Vast, Weka, etc.).
• Ability to communicate complex concepts clearly to both executives and engineering teams.
• Prior experience supporting hyperscale, AI labs, or large cluster deployments is a plus.
• Cloud Native Computing Foundation Certified Kubernetes Administrator (CKA) certification is a plus.

Benefits

• 100% company-paid insurance premiums for employee medical, dental and vision plans.
• 401(k) plan that matches 100% up to 4%, with immediate vesting.
• Professional Development Reimbursement of $2,500 each year.
• 11 Holidays + Paid Time Off Accrual + Rollover Plan.
• 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 year.
• Internet reimbursement up to $75 per month.
• Gym membership reimbursement up to $50 per month.
• Company paid Wellable subscription.