Applied AI Product Strategy & Revenue Lead
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 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