Technical Account Manager - AI Infrastructure
Own enterprise customer relationships for an AI infrastructure platform, combining technical partnership on training and inference workloads with renewals, expansion, capacity planning, and incident coordination. Requires 3–6 years in customer success, technical account management, solutions engineering, or an adjacent infrastructure role.
About the job
Responsibilities
- Own a portfolio of enterprise customers end-to-end, including adoption, retention, expansion, and overall account health.
- Build relationships with technical and executive stakeholders, from ML engineers to engineering leaders.
- Drive faster time-to-value, smooth workload scaling, and customer expansion.
- Understand customer training and inference workloads, infrastructure requirements, and performance bottlenecks.
- Partner with engineering teams on cluster performance, capacity planning, workload optimization, and migrations.
- Translate customer needs into prioritized feedback for Engineering and Product.
- Identify expansion opportunities, anticipate scaling needs, and drive adoption of new products and compute capacity.
- Partner with Sales on renewals and growth motions.
- Track account economics with Finance and Compute teams.
- Handle customer-facing operational issues, including usage questions, capacity changes, SLA tracking, and incident communications.
- Coordinate Sales, Engineering, Finance, and customer stakeholders.
Requirements
- 3–6 years of experience in Customer Success, Technical Account Management, Solutions Engineering, or an adjacent role at an infrastructure, cloud, or AI/ML company.
- Strong technical fluency, including reading dashboards, discussing infrastructure architecture, and engaging directly with customer engineering teams.
- Strong commercial judgment and ability to drive expansion alongside technical outcomes.
- Excellent verbal and written communication skills.
- High ownership, judgment, customer empathy, and comfort working in ambiguity and at speed.
- Use of LLMs, automation, and programmatic tools to work efficiently.
Nice-to-haves
- Experience at a cloud provider, AI infrastructure company, or compute marketplace.
- Familiarity with GPU economics, training and inference workloads, or compute consumption patterns.
- TAM or Solutions Architect experience at AWS, Google Cloud, Azure, or a specialized cloud provider.
- Working knowledge of usage-based pricing, capacity commitments, and consumption-based contracts.
- Experience as an early Customer Success hire at a high-growth company.
Compensation and Benefits
- Cash compensation: $160,000–$200,000 plus meaningful equity.
- Flexible work, remote or San Francisco.
- Visa sponsorship and relocation support.
- Professional development budget.
- Team off-sites and conferences.
Skills
Customer Success, Technical Account Management, Solutions Engineering, Infrastructure Architecture, Grafana, Cluster Performance, Capacity Planning, Workload Optimization, Gpu Economics, Training Workloads, Inference Workloads, Usage-Based Pricing, LLMs, Automation, Programmatic Tools
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