Senior AI Design Engineer @ Klarity (Full time)

United States·San FranciscoFull-Timesenior

EngineeringDesign Engineer

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Quick Summary

Overview

About Klarity Digital Transformation gave rise to a $600B consulting industry. AI Transformation will be 10x bigger — and will be delivered through agents. Klarity built that.

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Digital Transformation gave rise to a $600B consulting industry. AI Transformation will be 10x bigger — and will be delivered through agents. Klarity built that. Our AI discovers how work actually happens across every team and application, structures it into a living Context Graph, and improves it continuously. OpenAI, Google, DoorDash, and Stripe use Klarity to transform how they transform.

About the Role

~2 min read

We're looking for an AI Design Engineer who sits at the intersection of product design and frontend engineering — a designer first, with the technical skills and AI tools to bring designs to life in production code. You'll define and build the look and feel of AI-native workflows, making complex enterprise tools feel as intuitive as the best consumer apps.

We care about your design portfolio, systems thinking, and track record of shipping — not your degree.

Designer first, engineer by growth: A product designer with a strong visual and interaction foundation. You've designed complex software products and learned to code — or are learning — because you want to ship your designs without waiting on a backlog.

Expert in design tools and systems thinking: Figma, design systems, component libraries, and interaction patterns are second nature. You think in systems — understanding how individual components combine into cohesive experiences at scale.

AI-native designer who builds in code: You use AI coding assistants like Cursor, Claude Code, Codex, Replit etc to rapidly translate concepts into working, near-production-grade prototypes. You obsess over micro-interactions, transitions, spacing, color, and accessibility.

Shipped AI-native features to production: You understand the unique challenges of building with LLMs — designing for non-determinism, creating delightful experiences around unpredictable outputs, and innovating UX patterns that make cutting-edge AI feel intuitive.

User-centered, outcome-driven: You ground design decisions in research and real feedback, own the end-to-end experience from sketch to ship, and advocate for users while balancing business and technical constraints.

Own primary user-facing features — from visual language and interaction patterns to shipping to production

Build and evolve the design system — reusable component libraries that work in both Figma and in code

Bridge AI capabilities with intuitive experiences — translate complex technical possibilities into delightful, simple interfaces