Prime Intellect
Technical Account Manager - AI Infrastructure
$160K–$200K
San Francisco · Manager · Full-time · Posted Jul 8, 2026
- Experience
- 3–6 years in the listed or adjacent roles.
- Visa sponsorship
- Visa sponsorship and relocation support.
About the job
Own enterprise customer relationships for AI infrastructure, helping customers adopt, optimize, scale, and expand their training and inference workloads.
What you'll do
- Manage customer adoption, retention, expansion, and overall account health; build relationships with technical and executive stakeholders.
- Partner with customer engineering teams on cluster performance, capacity planning, workload optimization, and migration; relay prioritized feedback to Product and Engineering.
- Coordinate renewals and expansion with Sales, monitor account economics, and handle customer-facing operational issues, including capacity changes, SLA tracking, and incident communications.
What they ask for
- 3–6 years in Customer Success, Technical Account Management, Solutions Engineering, or adjacent roles at infrastructure, cloud, or AI/ML companies.
- Strong technical fluency, including reading dashboards, discussing infrastructure architecture, and engaging with customer engineering teams.
- Strong commercial instincts and ability to drive account expansion alongside technical outcomes.
- Excellent verbal and written communication; high ownership, customer empathy, judgment, and comfort with ambiguity and speed.
Nice to have
- Direct 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 background at a hyperscaler (AWS, GCP, Azure) or specialized cloud provider; working knowledge of usage-based pricing, capacity commitments, and consumption-based contracts; early Customer Success hire at a high-growth company.
Pay
$160,000 – $200,000 USD base salary
Tools
Grafana, Lab, Inference, AWS, GCP, Azure, LLMs
AI focus
Supports customers training and deploying AI systems, including SFT and RL workloads, inference scaling, and adoption of AI infrastructure products; uses LLMs, automation, and programmatic tools in the role.
Model-written summary · the original posting is authoritative