Head of Enterprise

Prime Intellect•San Francisco, CA

25d•Hybrid

About The Position

Building Open Superintelligence Infrastructure Prime Intellect is building the open superintelligence stack - from frontier agentic models to the infra that enables anyone to create, train, and deploy them. We aggregate and orchestrate global compute into a single control plane and pair it with the full RL post-training stack: environments, secure sandboxes, verifiable evals, and our async RL trainer. We enable researchers, startups and enterprises to run end-to-end reinforcement learning at frontier scale, adapting models to real tools, workflows, and deployment contexts. We raised $20m+ in funding, by Founders Fund, Menlo Ventures and prominent angels including Andrej Karpathy (Eureka AI, Tesla, OpenAI), Tri Dao (Together AI), Dylan Patel (SemiAnalysis), Clem Delangue (Huggingface) and many others. Your Role Own and scale our enterprise revenue engine. Build the GTM motion that brings compute, RL infrastructure, and post-training services to AI labs, research orgs, and high-growth startups. Lead pipeline generation, enterprise outbound, deal strategy, and closing. Create the playbooks, messaging, and systems that define how Prime Intellect sells at frontier scale. This is a foundational leadership role for someone who can both sell and build a world-class enterprise sales org from scratch.

Requirements

7+ years in enterprise sales with at least 2+ years owning or leading a sales team.
Proven track record closing $250k-$2M+ infrastructure or platform deals.
Deep familiarity with selling to technical buyers - ML teams, AI labs, DevInfra, cloud buyers.
Strong outbound and pipeline creation instincts - you know how to open doors at top accounts.
Experience building sales processes, playbooks, and forecasting systems from scratch.
Exceptional communicator who moves fluidly between CTO, Head of Research, and procurement.
Comfortable navigating multi-stakeholder, high-complexity enterprise cycles.
Bias for action, ownership, and clarity in fast-moving, high-ambiguity environments.

Nice To Haves

Experience selling compute, ML infra, RL / post-training platforms, or similar.
Existing relationships with AI labs, cloud buyers, or frontier ML teams.
Experience scaling early-stage GTM orgs (Seed to Series B).
Understanding of RLHF, post-training, agentic AI, or model customization workflows.

Responsibilities

Build and lead the enterprise sales function - process, playbooks, pipeline, quota design.
Own full-funnel revenue generation: outbound, discovery, technical qualification, pilots, negotiation, close.
Develop repeatable GTM motions for selling compute + RL post-training as a unified offering.
Shape strategic targeting - AI labs, research teams, foundation model builders, enterprise ML orgs.
Partner with Solutions, TAM, and Engineering to design pilots, ensure value realization, and drive expansion.
Refine messaging and positioning for technical and executive audiences.
Own forecasting, pipeline health, and CRM accuracy at leadership level.
Hire and mentor early AEs as team scales.
Drive expansion strategies - multi-year deals, committed spend, broader footprint within accounts.
Collaborate closely with leadership on pricing strategy, deal structuring, and strategic accounts.
Represent Prime Intellect externally - conferences, events, ecosystem partners.