Sr. Technical Account Manager (TAM)
About GMI Cloud
GMI Cloud is a fast‑growing AI infrastructure company backed by Headline VC and one of only six cloud providers worldwide to earn NVIDIA’s prestigious Reference Platform Cloud Partner designation. We operate eight GPU clusters across the U.S. and Asia, delivering a full spectrum of services from GPU compute to AI model inference API solutions, and we empower AI startups and enterprises to prototype, train, and deploy models quickly and reliably.
About the role
We’re seeking a Sr. Technical Account Manager with a strong customer‑first approach, deep technical expertise, and a passion for solving complex challenges. The role requires proactive engagement with customers to ensure they receive outstanding service and technical support, driving success and product improvement for GMI Cloud.
Key Responsibilities
- Build strong customer relationships: act as the primary technical contact, advocate for customer needs within the company, and conduct workshops, training sessions, and tailored consultations.
- Proactive problem‑solving & technical guidance: monitor customer environments, identify risks and bottlenecks, design GPU‑based system architectures, and support cloud migrations for high‑performance computing, AI/ML workloads, and data processing.
- Cloud optimization & operational excellence: review resource utilization, recommend performance and cost‑optimization opportunities, collaborate on continuity, disaster recovery, and monitoring, and empower customers to maintain and scale their cloud environments.
Required Skills
- AI infrastructure: knowledge of GPU servers, storage (Ceph, NVMe, NFS), and high‑speed networking (InfiniBand, RoCE).
- Kubernetes (K8s): understanding of container orchestration, scheduling, and networking.
- AI/LLM: familiarity with large language model training and inference workflows.
- Frameworks: working knowledge of SGLang, vLLM, Slurm, Ray (Anyscale), or equivalent distributed computing tools.
- Communication: clear and confident in technical discussions with customers and internal teams.
Preferred Qualifications
- CKA certification preferred.
- Hands‑on experience in HPC, MLOps, or large‑scale AI infrastructure environments.
- Experience managing or scaling Ray clusters for distributed inference or data processing.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
- Prior support for enterprise or hyperscale AI workloads a plus.
Employment type : Full‑time | Seniority level : Mid‑Senior | Job function : Customer Service | Location : Remote (Mountain View, CA)
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