Applied AI Product Strategy & Revenue Lead
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
You will translate ambiguous customer needs into product strategy, technical scope, commercial proposals, and revenue opportunities. You will lead discovery, proposals, proofs of concept, procurement, deployments, and expansions while partnering with research, product, engineering, legal, finance, executives, and customers. You will also shape positioning, narratives, case studies, and repeatable go-to-market processes for frontier AI infrastructure.
Requirements
- Strong product and commercial judgment
- Ability to understand technical products quickly
- Excellent written communication
- High agency
- Comfort with ambiguity
- Ability to work with researchers, engineers, executives, and operators
- Understanding of enterprise buying, proofs of concept, procurement, and expansion
- Knowledge of AI, post-training, agents, evaluations, and infrastructure
Responsibilities
- Understand customer workflows and technical pain points
- Translate customer conversations into technical and commercial strategy
- Shape product packaging and repeatable customer narratives
- Own high-value customer opportunities from discovery through expansion
- Run discovery with technical and executive stakeholders
- Build business cases and technical wedges
- Draft proposals, scopes, and commercial structures
- Coordinate internal workstreams across research, product, engineering, legal, and finance
- Turn early deployments into expansion and long-term platform revenue
- Bring customer signals to applied research prioritization
- Create positioning, sales narratives, customer decks, case studies, and reference architectures
Benefits
- Meaningful equity
- Flexible work in San Francisco or hybrid-remote
- Visa sponsorship
- Relocation support
- Professional development budget
- Team off-sites
- Conference attendance