Technical Account Manager

About TensorWave

Our mission is simple: deliver seamless secure reliable and resilient AI compute at scale. Weve 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 TensorWaves 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 Youll 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 risksunderutilization configuration drift pending hardware end-of-lifebefore 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

• Other In-Office Perks

Equal Employment Opportunity

TensorWave is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of any protected status under applicable law.

Reasonable Accommodations

TensorWave provides reasonable accommodations in accordance with applicable laws. If you require accommodation during the hiring process please contact

Employment Eligibility

All offers of employment are contingent upon verification of identity and authorization to work in United States as required by law.

Background Checks

Where permitted by law employment may be contingent upon the successful completion of a job-related background check.

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.

Required Experience:

Manager