Technical Account Manager - AI Infrastructure
Prime Intellect provides an open superintelligence stack for training, evaluating, deploying, and continuously improving AI agents and models. Its platform combines RL environments, hosted training, inference, GPU compute, secure sandboxes, and open-source research tooling for researchers, startups, and enterprises.
Maintainer signals as of 8/23/2026
Funding history
Projects
About Prime Intellect, Inc.
Prime Intellect operates an integrated AI infrastructure platform spanning Lab, hosted reinforcement-learning training, evaluations, environments, inference, secure sandboxes, and on-demand or reserved GPU compute. It also develops open-source tools including Verifiers, prime-rl, and Prime Agent, supporting workflows from environment creation and model evaluation through post-training and production deployment. The company serves researchers, startups, enterprises, and teams building agentic AI systems, with customer examples including Ramp and Zapier.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
Own a portfolio of enterprise customers using AI infrastructure, helping them adopt, scale, and expand their workloads. Understand training and inference environments, advise on performance and capacity, coordinate operational issues, communicate feedback internally, and partner with Sales on renewals and growth.
Requirements
- 3–6 years in Customer Success, Technical Account Management, Solutions Engineering, or adjacent infrastructure, cloud, or AI/ML roles
- Technical fluency with dashboards and infrastructure architecture
- Commercial judgment
- Verbal and written communication
- Customer empathy
- GPU economics familiarity
- Training and inference workload familiarity
- Usage-based pricing and capacity commitments
Responsibilities
- Own a portfolio of enterprise customers end-to-end
- Build relationships with technical and executive stakeholders
- Drive customer adoption, retention, expansion, and health
- Understand customer training and inference workloads
- Partner on cluster performance, capacity planning, workload optimization, and migration
- Translate customer needs into feedback for Engineering and Product
- Identify expansion opportunities
- Partner with Sales on renewals and growth
- Track customer economics
- Handle customer-facing operational issues
- Coordinate Sales, Engineering, Finance, and customers
Benefits
- Meaningful equity
- Flexible work with remote or San Francisco options
- Visa sponsorship
- Relocation support
- Professional development budget
- Team off-sites and conferences