[Hiring] Senior UX Designer @CoLab Software

Role Description

As a Senior UX Designer, you’ll both lead design and partner with other designers to create AI-powered experiences across CoLab. You’ll help shape how engineers interact with AI, evaluate its recommendations, and work alongside agents to accomplish complex tasks.

This is a hands-on individual contributor role. You’ll bring strong skills across the full design process, from discovery and problem definition to interaction design, visual polish, and implementation with particular depth in designing AI interfaces.

You’ll partner closely with product managers, engineers, and AI specialists to explore what’s possible, define useful applications, and build experiences grounded in customer needs. As a Senior designer, you’ll also guide design direction across squads, mentor other designers, and establish shared patterns for AI interactions throughout CoLab.

Qualifications

• Significant product or UX design experience, typically gained through 5+ years of practice, with a track record of leading complex initiatives at a Senior level.
• Demonstrated experience designing and shipping AI-powered interfaces. Your portfolio should show your contributions, the behavior of the AI system, the interaction decisions you made, and what you learned from real-world use.
• Substantial experience with one or more of the following: conversational interfaces, LLM-powered workflows, AI assistants, autonomous or semi-autonomous agents, or agent orchestration tools.
• A practical understanding of how AI behavior affects UX, including variability in outputs, latency, context limitations, and failure modes.
• Strong UX fundamentals, including information architecture, interaction design, visual design, accessibility, and systems thinking.
• Fluency in Figma and the ability to build prototypes that communicate dynamic interactions and system behavior.
• Using AI tools like Claude and Codex to accelerate your design process with code-based prototypes.
• Strong collaboration with technical partners and the ability to make clear trade-offs between user needs, model capabilities, engineering constraints, and business goals.
• Experience influencing design direction across teams and helping other designers improve their work.

Requirements

• Education or practical knowledge in machine learning, how LLMs work, or agent architecture.
• Experience designing controls for agent permissions, action approvals, activity history, or auditability in enterprise environments.
• Experience collaborating on AI evaluations and connecting measures of model quality with usability, task success, and user trust.
• Ability to prototype with code, APIs, or AI development tools to explore realistic interactions, potentially submitting your own PRs for simpler collaboration.
• Experience designing for engineering, manufacturing, or other technical domains where accuracy and human judgment matter.

Benefits

• Encouragement to apply even if you don’t meet every single qualification—your potential is what matters most to us.