Job Summary:
TensorWave is dedicated to delivering seamless AI compute at scale. They are seeking a Technical Account Manager to independently manage a portfolio of customer accounts, ensuring successful onboarding, adoption, and expansion while serving as the primary technical contact throughout the customer lifecycle.
Responsibilities:
• Independently own 5-10 customer accounts across the full lifecycle: onboarding, adoption, expansion, and renewal
• Develop and maintain account success plans that align TensorWave capabilities to customer roadmaps
• Lead quarterly business reviews (QBRs) with customer engineering and management stakeholders
• Monitor account health metrics (utilization, ticket volume, CSAT) and take corrective action before issues escalate
• Identify and triage technical risks—underutilization, configuration drift, pending hardware end-of-life—before they become escalations
• Coordinate cross-functional responses to P1/P2 incidents including NOC, Infrastructure, and Engineering teams
• Produce customer-facing technical documentation: architecture diagrams, runbooks, migration plans, and post-incident reports
• Perform root cause analysis on infrastructure incidents using logs, metrics, and tracing tools
• Partner with Sales on upsell and expansion discussions; provide technical qualification for new workloads
• Identify qualified expansion opportunities and support commercial conversations with technical depth
• Contribute to the internal knowledge base; flag gaps in tooling or process to leadership with proposed solutions
• Mentor TAM peers on technical topics and account management best practices
• Participate in internal enablement sessions and share learnings from customer engagements
Qualifications:
Required:
• 3+ years of experience in a technical, customer-facing role (solutions engineering, technical account management, customer success engineering, or similar)
• Demonstrated independent ownership of enterprise customer relationships with measurable retention and expansion outcomes
• Strong proficiency in Kubernetes administration, GPU workload scheduling, and multi-node cluster management
• Ability to diagnose and resolve networking issues independently (BGP peering, RDMA/RoCE, optical link performance)
• Solid understanding of distributed ML training frameworks (PyTorch, JAX) and inference serving patterns
• Working knowledge of data center operations: power, cooling, hardware lifecycle, and maintenance windows
• Experience leading customer-facing business reviews and producing executive-level status communications
• Excellent written and verbal communication skills, particularly when engaging with both technical engineers and business stakeholders
• Experience with ticketing and incident tracking systems (e.g., PagerDuty, Jira, or equivalent)
Preferred:
• Experience in GPU cloud, HPC, or AI/ML infrastructure operations
• Familiarity with AMD GPU platforms (MI300X, MI325X, MI355X) and the ROCm software ecosystem
• Background with WEKA or parallel file systems in high-performance compute environments
• Experience with ITIL or structured incident management and change management frameworks
• Hands-on experience with monitoring and observability platforms (e.g., Grafana, Prometheus, or similar)
• Scripting or automation skills (Python, Bash) for building operational tooling or customer-facing utilities
• Background in cloud infrastructure providers (AWS, GCP, Azure, or neocloud/GPU cloud providers)
Company:
TensorWave is an AMD-exclusive cloud platform that leverages AMD Instinct GPUs and ROCm for high-performance AI workloads. Founded in 2023, the company is headquartered in Las Vegas, USA, with a team of 51-200 employees. The company is currently Growth Stage.