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Senior Product Designer

CodeRabbit
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About CodeRabbit

CodeRabbit is an innovative research and development company focused on building extraordinarily productive human-machine collaboration systems. Our primary goal is to create the next generation of Gen AI-driven code reviewers: a symbiotic partnership between humans and advanced algorithms that significantly outperforms individual engineers. We combine language models with human ingenuity to push the boundaries of software development efficiency and quality.

About the role

Design at CodeRabbit sits at the intersection of craft, developer empathy, and deep technical complexity. As our Product Designer, you will shape how millions of developers experience AI-powered code review across IDEs, Git platforms, the CLI, and the web — surfaces with few established conventions, where the right interaction pattern hasn’t been invented yet.

Our work decides whether CodeRabbit feels like noise or like a trusted teammate: whether a developer trusts an AI-generated suggestion enough to merge it, or scrolls past it. We care deeply about the details that make an interface feel polished and trustworthy — the pixels, the motion, the copy, the edge cases — and we ship fast and learn in the open.

This is a high-ownership role for a designer who is exceptional at visual and interaction design. You will own design strategy and the design system across our product suite, set the bar for craft, and build a team of exceptional designers around you.

What you’ll do

  • Own end-to-end design. Drive the full process — from research and information architecture through high-fidelity visual design and sometimes implementation — for our AI code review platform.

  • Craft beautiful, trustworthy interfaces. Design polished, delightful UI that makes complex code analysis feel effortless and earns developers’ trust in AI-generated suggestions.

  • Set the interaction standard. Define interaction patterns, micro-interactions, and motion for emerging AI experiences — real-time review, conversational feedback, and agentic workflows — that feel native to how developers work.

  • Build and scale our design system. Create and maintain a comprehensive, scalable design system spanning Web, IDE extensions, Git platforms, and CLI surfaces.

  • Make complex data legible. Design clear visualizations and information architecture for code quality metrics, dependency graphs, and AI-generated insights.

  • Partner cross-functionally. Collaborate closely with engineering, product, and AI teams to define product vision, strategy, and roadmap, and to ship high-quality work in a fast-paced environment.

  • Stay close to the model. Design for where AI capabilities are heading, not just w

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