The opportunity
Runpod is the AI Developer Cloud. More than one million developers, from indie researchers to teams running frontier models in production, use Runpod to experiment, train, fine-tune, deploy, and scale AI on one platform.
What you'll do
Own end-to-end design for core areas of Runpod’s AI infrastructure platform,: from discovery through launch and iteration.
Turn complex workflows across compute, deployment, storage, networking,: billing, observability, and AI model operations into intuitive user experiences.
Move quickly from ambiguity to action: identify UX problems, frame tradeoffs, propose solutions, and drive decisions.
Partner closely with Engineering and Product to shape direction, define: requirements, and ship high-quality experiences.
Create polished flows, prototypes, high-fidelity designs, interaction: patterns, and production-ready specs. Define and design systems to enable continuous design-to-code workflows
Raise the craft bar through strong information architecture, visual design,: interaction design, UX writing, accessibility, and edge-case thinking.
What they're looking for
- + years of product design experience, ideally with developer tools, cloud: platforms, infrastructure products, AI/ML tools, enterprise software, data products, or technical SaaS.
- A strong portfolio showing excellent UX thinking, visual craft, interaction: design, systems thinking, and the ability to simplify complex products.
- High urgency and ownership, with a track record of driving design work: forward in fast-moving, ambiguous environments.
- Strong product judgment and the ability to balance user needs, technical: constraints, speed, quality, and business impact.
- Excellent visual and interaction design skills, with sharp attention to: hierarchy, layout, typography, spacing, states, flows, and microinteractions.
- Experience working closely with engineers and product managers to ship technically complex products.
- Ability to understand workflows involving APIs, infrastructure, cloud: platforms, deployment, observability, usage-based pricing, or AI/ML systems.
- Experience using qualitative and quantitative insights to guide design decisions.