Technical Account Manager - AI Infrastructure
Prime Intellect builds the 'Open Superintelligence Stack' — an integrated compute, training, inference, and sandbox platform that lets companies train, deploy, and continuously improve their own AI models and agents. It serves AI startups, 'neolabs', and enterprises (over 6,000 customers, including Ramp and Zapier) that want to own their model optimization loop rather than rely solely on closed frontier labs.
Maintainer signals as of 8/12/2026
Funding history
Investors
Projects
About Prime Intellect
Prime Intellect is a San Francisco-based AI infrastructure company building what it calls the Open Superintelligence Stack: a full-stack platform spanning GPU compute (on-demand and reserved clusters), large-scale reinforcement learning training ('Lab'), an Environments Hub with 2,500+ community RL environments, hosted evaluations, sandboxed code execution, and dedicated/serverless model inference with native LoRA support. The company maintains open-source libraries (verifiers and prime-rl) used to build and train RL environments, and publishes frontier open research such as the INTELLECT and SYNTHETIC model/dataset series. Prime Intellect works with AI startups, enterprises, and 'neolab' customers such as Ramp and Zapier, helping them turn production traces and evaluations into custom-trained, post-trained agent models that outperform closed frontier models on specific workflows at lower cost and latency. The company has raised over $150M in total funding, including a $130M Series A led by Radical Ventures with participation from NVIDIA Ventures, Intel Capital, and Dell Technologies Capital, and reports over $100M in annualized revenue.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will own a portfolio of enterprise customers using AI infrastructure, helping them adopt, scale, and expand their workloads. You will understand their 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
- 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