Head of Growth
Primary stack
Nice to have's
Job description
About the Position
We are seeking a Head of Growth to lead everything that connects our technology to the market - spanning sales, marketing, partnerships, and customer success. You’ll define how Prime Intellect tells its story, close large-scale post-training and compute contracts, and build the systems that let us scale revenue efficiently. This is a high-leverage role combining strategy, execution, and team building - perfect for a hybrid commercial operator who thrives at the intersection of infrastructure and intelligence.
Responsibilities
Strategy & Vision
- Build and lead a cross-functional Growth organization spanning Sales, Marketing, Partnerships, and Customer Success.
- Define our go-to-market strategy for RL infrastructure pricing, packaging, and positioning.
- Own revenue forecasting, pipeline visibility, and operational cadence (CRM, dashboards, and forecasting systems).
- Design data-driven systems for deal tracking, reporting, and forecasting accuracy.
Sales & Partnerships
- Lead enterprise sales cycles for post-training and multi-node cluster deals (64+ GPUs, 6+ month durations).
- Develop repeatable playbooks for design-partner conversions and enterprise onboarding.
- Build strategic partnerships with compute providers, AI companies, and research labs to expand our ecosystem.
- Identify and nurture high-value leads through targeted outbound and inbound growth strategies.
Marketing
- Drive developer and enterprise awareness through campaigns, launches, community, and content.
- Translate technical features into clear market narratives and differentiated positioning.
- Partner with Product to align market feedback with roadmap and developer onboarding.
- Run quantitative experiments on activation, conversion, and usage metrics.
Customer Success / Account Management
- Build the CS motion across onboarding, usage analytics, renewals, and expansion workflows.
- Implement CRM-based renewal tracking and feedback loops into product and operations.
- Establish systems for continuous measurement of customer value and satisfaction.
Growth Operations
- Design scalable processes for deal management, supplier bidding, contract ops, and revenue tracking.
- Partner with Operations and Finance on budgeting, hiring, and legal structures that support rapid scale.
- Implement sales technology stack and CRM architecture to enable data-driven decision making.
Requirements
- 5+ years leading growth, GTM, or revenue functions at a B2B or infrastructure startup.
- Fluent in both technical and commercial conversations - comfortable discussing GPUs, APIs, and pricing models.
- Proven ability to build scalable systems (CRM, forecasting, dashboards) and clean operational processes.
- Track record of closing enterprise-scale infrastructure or developer-tooling deals.
- Analytical, curious, and comfortable in high-ambiguity, fast-moving environments.
- Strong communication and leadership skills with experience building small, high-performing teams.
Bonus
- Experience pricing or selling infrastructure or developer tools.
- Familiarity with enterprise AI, cloud infrastructure, or post-training markets.
- Early-stage operator mindset - bias for building playbooks, not inheriting them.
We Offer
- Cash Compensation Range: $150-300k + equity incentives
- Flexible Work: Remote or San Francisco
- Visa Sponsorship & relocation support
- Professional Development budget
- Team Off-sites & conference attendance
- Opportunity to Shape Decentralized AI at Prime Intellect
About the Company
Prime Intellect is building the open superintelligence stack: the infrastructure frontier AI labs build internally, made available to every ambitious AI team. Our platform, Lab, unifies compute, environments, evaluations, secure sandboxes, high-performance training, and deployment into one full-stack system for post-training at frontier scale - from SFT and RL to tool use, agent workflows, and continuously improving production models. We are building open frontier AI: open-source models trained end to end for long-horizon tasks like autonomous research, and the full-stack platform our own research team uses to build them.
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