TensorWave
AI compute
TechnicalAccountManager
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“Technical Account Manager at TensorWave. Skills: Technical account management, Customer lifecycle management, AI infrastructure. Own 5-10 customer accounts. Develop account success plans”
What You'll Achieve.
measurable retention and expansion outcomes; align TensorWave capabilities to customer roadmaps; take corrective action before issues escalate; identify qualified expansion opportunities
Industry & Context.
Diagnose and resolve networking issues; Identify and triage technical risks; Perform root cause analysis
What They're Looking For.
Must Have
3+ years of experience in a technical, customer-facing role, Demonstrated independent ownership of enterprise customer relationships with measurable retention and expansion outcomes, proficiency in Kubernetes administration, GPU workload scheduling, multi-node cluster management, Ability to diagnose and resolve networking issues independently, Solid understanding of distributed ML training frameworks, inference serving patterns, Working knowledge of data center operations, Experience leading customer-facing business reviews, producing executive-level status communications, Excellent written and verbal communication skills, Experience with ticketing and incident tracking systems
Nice to Have
Experience in GPU cloud, HPC, or AI/ML infrastructure operations, Familiarity with AMD GPU platforms, 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, Scripting or automation skills, Background in cloud infrastructure providers
What You'll Do.
Own 5-10 customer accounts
Develop account success plans
Lead quarterly business reviews
Monitor account health metrics
Identify and triage technical risks
Coordinate cross-functional responses
Produce customer-facing technical documentation
Perform root cause analysis
Partner with Sales on upsell
Identify expansion opportunities
Contribute to internal knowledge
How You'll Work.
Team & Collaboration
Partner with Sales; Coordinate cross-functional responses; Contribute to the broader TAM team; Mentor TAM peers; Participate in internal enablement sessions
Communication Scope
Excellent written and verbal communication skills; engaging with technical engineers and business stakeholders; producing executive-level status communications
Full Job Description
About TensorWave Our mission is simple: deliver seamless, secure, reliable, and resilient AI compute at scale. We've built a versatile cloud platform that eliminates infrastructure barriers, empowering builders to focus on innovation instead of fighting their stack. Because breakthrough AI should move at the speed of ideas, not infrastructure. About the Role We are looking for a Technical Account Manager to independently own a portfolio of customer accounts and serve as the primary technical point of contact across the full customer lifecycle. Reporting into CX, our TAMs manage onboarding, adoption, expansion, and renewal for a mix of mid-market and enterprise customers running workloads on TensorWave’s infrastructure. This role sits at the intersection of technical depth and relationship management. You will develop tailored success plans aligned to customer business objectives, lead escalation coordination during critical incidents, and partner with Sales to identify expansion opportunities. Beyond your own accounts, you will contribute to the broader TAM team through knowledge sharing, process improvement, and mentorship of junior peers. If you thrive in fast-paced environments and want to be a trusted advisor to customers building at the frontier of AI, this role is for you. What You’ll Do - 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 - P
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