Senior Product Designer

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. The platform has processed more than 20 billion inference requests. We closed a $100M Series A in June 2026. Learn more in our CEO's funding announcement: https://www.runpod.io/blog/one-million-developers . We're at an inflection point for AI infrastructure, and we're building the platform the next generation of developers will depend on.

We're a small, remote-first team. We take ownership seriously, move fast, and ship work that more than a million developers rely on every day. We're looking for people who care deeply, build with urgency, and want to matter at scale.

We are looking for a Senior Product Designer to help define the next generation of Runpod’s product experience. This role is for a designer with exceptional craft, strong product judgment, deep user empathy, and the ability to turn complex technical workflows into experiences that feel simple, powerful, and delightful.

This is not a passive design role. We are looking for someone who moves with urgency, pushes for clarity, drives decisions, and raises the bar without waiting to be told what to do. You should (be comfortable taking ambiguous problems, shaping them into a clear product experience, and partnering with Engineering and Product to get high-quality experiences shipped quickly.

You will own the design quality of core product surfaces across Runpod’s AI infrastructure platform. You will work closely with Engineering, Product, Infrastructure, Customer Success, Sales, Marketing, and company leadership to create user experiences that are not just functional, but memorable.

Success in this role means raising the bar for how Runpod feels to use: clearer workflows, faster time-to-value, stronger customer trust, better product polish, and moments that surprise and delight developers.

Responsibilities

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.

Use customer conversations, usability testing, analytics, and support feedback to find friction and improve the experience.

Contribute to Runpod’s design system so the product becomes more consistent, scalable, and distinctive.

Create moments of delight through thoughtful defaults, clear feedback, elegant interactions, and details that make the product feel carefully built.

Requirements

6+ 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.