Senior Product Designer

Klarity•San Francisco, CA

8h•$200,000 - $251,000•Onsite

About The Position

Klarity is seeking a Senior Product Designer to own core, user-facing parts of their product end-to-end. This role involves transforming complex problems into intuitive, AI-native workflows, designing experiences that rival consumer apps, and bringing designs to life through prototypes and collaboration with engineering. The company emphasizes systems thinking and a track record of shipping products, valuing intuition and trustworthiness in enterprise AI products. Design at Klarity is a hands-on, collaborative process working closely with engineering and product teams, with a focus on craft, edge cases, and user feedback. Designing for AI is a core aspect of the role.

Requirements

Exceptional design craft with a high bar for visual hierarchy, interaction, motion, and accessibility.
Ability to prototype with AI tools or code to explore and validate ideas quickly.
AI-native thinking, integrating AI into the problem-solving process.
Systems thinking to understand how complex enterprise product components fit together.
High agency and ability to turn ambiguous problems into clear direction.
Several years of experience designing complex software, ideally enterprise/B2B or developer tools.
A portfolio showcasing craft and end-to-end ownership.

Nice To Haves

Shipped front-end code (React, TypeScript, or similar), even from side projects.
Experience designing enterprise, B2B, or developer tools.
A strong point of view on AI UX, focusing on trustworthiness.

Responsibilities

Own core user-facing features, defining visual language, interaction patterns, and flows from concept to launch.
Ensure feature coherence within the surrounding product area, maintaining a consistent user experience.
Design and prototype using AI tools (e.g., Claude Code, Cursor, Codex, Claude Design, Replit) to create interactive prototypes and contribute front-end changes.
Design trustworthy AI-native, agentic workflows that are legible, manage confidence and uncertainty, and include human oversight for critical actions.
Contribute to the design system by creating reusable patterns, components, and tokens for both human and AI use.
Ground design decisions in user research, including qualitative feedback (interviews, usability testing) and quantitative data (product analytics).