Technical Account Manager

Employment Type

Application

• ****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
• 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
• ****Required Experience****
• 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****
• 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)
• ****What We Offer****
• Stock Options
• 100% paid Medical, Dental, and Vision insurance for Employees

• Company Health Savings Account Contributions

• 100% paid Short Term and Long Term Disability Insurance for Employees
• Life and Voluntary Supplemental Insurance Options
• Other Insurance Options, such as Pet & Legal Insurance
• Various Supplementary Health Benefits, such as discounted Virtual Healthcare Appointments and Serious Illness Support

• Flexible Spending Account

• 401(k)

• Employee Assistance Program

• Flexible PTO
• Paid Holidays
• Parental Leave

Equal Employment Opportunity

Reasonable Accommodations

Employment Eligibility

Background Checks

Data Privacy Notice

• By submitting an application, you acknowledge that TensorWave may collect, use, and retain your personal information for recruiting and employment-related purposes in accordance with applicable data privacy laws.
• ****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
• 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
• ****Required Experience****
• 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****
• 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)
• ****What We Offer****
• Stock Options
• 100% paid Medical, Dental, and Vision insurance for Employees

• Company Health Savings Account Contributions

• 100% paid Short Term and Long Term Disability Insurance for Employees
• Life and Voluntary Supplemental Insurance Options
• Other Insurance Options, such as Pet & Legal Insurance
• Various Supplementary Health Benefits, such as discounted Virtual Healthcare Appointments and Serious Illness Support

• Flexible Spending Account

• 401(k)

• Employee Assistance Program

• Flexible PTO
• Paid Holidays
• Parental Leave

Equal Employment Opportunity

Reasonable Accommodations

Employment Eligibility

Background Checks

Data Privacy Notice

• By submitting an application, you acknowledge that TensorWave may collect, use, and retain your personal information for recruiting and employment-related purposes in accordance with applicable data privacy laws.
• ****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
• 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
• ****Required Experience****
• 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****
• 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)
• ****What We Offer****
• Stock Options
• 100% paid Medical, Dental, and Vision insurance for Employees

• Company Health Savings Account Contributions

• 100% paid Short Term and Long Term Disability Insurance for Employees
• Life and Voluntary Supplemental Insurance Options
• Other Insurance Options, such as Pet & Legal Insurance
• Various Supplementary Health Benefits, such as discounted Virtual Healthcare Appointments and Serious Illness Support

• Flexible Spending Account

• 401(k)

• Employee Assistance Program

• Flexible PTO
• Paid Holidays
• Parental Leave

Equal Employment Opportunity

Reasonable Accommodations

Employment Eligibility

Background Checks

Data Privacy Notice