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Prime Intellect

Open frontier-model stack for enterprise RL

Head of Marketing & Developer Relations

Marketing Generalist & ManagementUpdated on Nov 13
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • At least 5 years of experience in marketing, developer relations, or developer marketing at a B2B infrastructure, open-source, or developer-tools company.
  • Deep technical fluency to discuss GPUs, reinforcement learning training loops, model architectures, and API design with engineers and researchers.
  • A proven track record building developer communities and running high-impact product launches.
  • Strong writing and storytelling skills to produce or direct content for technical and business audiences.
  • An analytical, experiment-driven approach and comfort with attribution models, funnel metrics, and growth experiments.
  • Experience building small, high-performing teams from scratch in fast-moving environments.

Responsibilities

  • Define and evolve the company's brand positioning, voice, and visual identity across all channels.
  • Translate technical capabilities, including asynchronous reinforcement learning, distributed training, and agentic post-training, into clear, compelling market narratives.
  • Own messaging frameworks for product launches, fundraising announcements, research releases, and partnership news.
  • Build and lead the Developer Relations function by creating programs, content, and experiences that drive developer adoption and loyalty.
  • Grow and engage the open-source community through tutorials, office hours, hackathons, and contributor programs.
  • Develop and maintain developer documentation, quickstarts, and onboarding flows in close partnership with Product and Engineering.
  • Represent the company at conferences, meetups, and podcasts, and identify opportunities for the founding team to do the same.
  • Build a content engine spanning technical blog posts, research digests, case studies, video content, and social media.
  • Partner with Research to translate frontier work into high-signal public content.
  • Develop a thought leadership program that positions the founders and researchers as key voices in open AI infrastructure.
  • Plan and execute product launches, research releases, and community events that generate developer awareness and adoption.
  • Run growth experiments across organic social, paid, search engine optimization, email, and partnerships, and build measurement systems to track results.
  • Own top-of-funnel metrics, including developer signups, community engagement, content reach, and brand awareness.
  • Partner with Sales and go-to-market teams to convert marketing-generated demand into pipeline and design-partner relationships.
  • Build and manage the marketing technology stack, including analytics, content management, email, social scheduling, and attribution.
  • Establish a reporting cadence for marketing key performance indicators and campaign performance.
  • Manage external agencies, freelancers, and contractors as needed for design, video, and content production.

Desired Qualifications

  • Hands-on experience with AI/ML infrastructure, cloud platforms, or open-source ML tooling.
  • An existing presence and credibility in the AI research or infrastructure community, such as a blog, Twitter/X presence, or conference talks.
  • Experience with open-source community building and contributor growth programs.
  • An early-stage operator mindset, with a bias toward building playbooks rather than inheriting them.

About the Company

Prime Intellect

Open frontier-model stack for enterprise RL

Prime Intellect provides an open, end-to-end superintelligence stack for enterprises to train and continually improve their own AI agents. The platform includes scalable compute, large-scale reinforcement learning, environments, sandboxes, evaluations, and deployment tools, and it ships open frontier models to customers. It covers the full lifecycle from training to deployment plus post-training support, enabling agentic training at scale. Its differentiator is the open, end-to-end stack used across thousands of customers with strong backing from top investors, and its goal is to help organizations build and iteratively improve their AI agents using open frontier models.

Company size
51-200
Company stage
Series A
Total funding
$150.5M
Headquarters
San Francisco, CA
Founded
2024

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