Lead Product Designer

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 recently raised $15mm in funding (total of $20mm raised) led by Founders Fund, with participation from Menlo Ventures and prominent angels including Andrej Karpathy (Eureka AI, Tesla, OpenAI), Tri Dao (Chief Scientific Officer of Together AI), Dylan Patel (SemiAnalysis), Clem Delangue (Huggingface), Emad Mostaque (Stability AI) and many others.

As Product Designer, you’ll define the design layer of Prime Intellect’s platform — shaping how developers, researchers, and engineers interact with decentralized intelligence. You’ll work closely with internal engineers and AI researchers to translate complex systems — reinforcement learning, compute orchestration, verifiable evals — into clear, intuitive, and powerful experiences.

This is not a marketing or brand design role. It’s about designing tools and experiences for people who build intelligence itself — product experiences that makes advanced AI infrastructure and tools simple, accessible and usable by many developers.
Core Responsibilities

Product & Platform Design

• Design interfaces and workflows across the Prime Intellect platform — from compute orchestration to RL training and evaluation

• Collaborate with engineers and researchers to map complex backend systems into intuitive product surfaces

• Own end-to-end product UX: from wireframes and interaction flows to production-ready design

• Develop and maintain a consistent design system balancing clarity, performance, and extensibility

Developer Experience

• Understand and design for technical audiences: AI researchers, ML engineers, and devops teams

• Translate reinforcement learning concepts (training loops, environments, verifiers, evals) into usable visual primitives and workflows

• Help shape the “developer ergonomics” of the platform: onboarding, feedback loops, observability, and visual debugging tools

• Design for interactions between developer frameworks and platform UI, ensuring the e2e experience is simple, understandable, and fulfills the user's objectives

Core Skills & Experience

• Strong portfolio demonstrating end-to-end product design for technical or data-driven tools.

• Proficiency in Figma, and fluency in systems design, UX architecture, and visual hierarchy.

• Experience designing for developers, researchers, or technical domains — dashboards, APIs, model tooling, or infra products.

• Familiarity with AI/ML concepts (training, evaluation, RL, fine-tuning) and comfort engaging with engineers on these topics.

• Fundamental understanding of front-end principles (HTML, CSS, JS a plus)

Nice to Have

• Prior experience designing ML research tools, IDEs, or developer platforms.

• Comfort doing lightweight full-stack development to implement designs

• Competitive compensation with significant equity incentives

• Remote-first with a San Francisco hub

• Budget for tools, software, and experimental projects

• Opportunities to attend and shape AI/tech conferences

• A chance to define the aesthetics of the decentralized AGI era

If you see design as more than visuals—if you shape experiences, interfaces, and systems with precision and intent—we want to build with you.

Ready to craft the future of AI? Apply now.