Role overview

CoLab builds AI software for mechanical engineering teams, helping them bring complex products like cars, medical devices, and jet engines to market faster. As a Senior UX Designer, you’ll lead and collaborate on designing AI-powered experiences that help engineers interact with intelligent systems, evaluate recommendations, and work alongside AI agents to accomplish sophisticated design and engineering tasks.

Key responsibilities

Lead UX design for AI-powered products and workflows across the full lifecycle, from discovery and problem definition through implementation and ongoing iteration.
Partner with product managers, engineers, and AI specialists to identify meaningful customer problems and shape how AI capabilities can address them effectively.
Design conversational, contextual, and agent-driven interfaces that enable users to express intent, provide necessary context, and act on results with confidence.
Create agent orchestration experiences that make task plans, progress tracking, dependencies, approvals, and handoffs transparent and manageable for users.
Establish patterns for human oversight that allow users to review proposed actions, set boundaries, intervene during execution, and recover from errors or unexpected behavior.
Conduct customer discovery, usability testing, and prototype validation including realistic scenarios where AI outputs may be incomplete, incorrect, or behave unexpectedly.
Mentor other designers, contribute shared AI interaction patterns to the design system, and help align experiences across teams.

Requirements

Five or more years of product or UX design experience with a demonstrated track record of leading complex initiatives at a senior level.
Proven experience designing and shipping AI-powered interfaces, with a portfolio showing your specific contributions, how the AI system behaves, your interaction design decisions, and what you learned from real-world usage.
Substantial hands-on experience with conversational interfaces, LLM-powered workflows, AI assistants, autonomous or semi-autonomous agents, or agent orchestration tools.
Practical understanding of how AI behavior impacts UX, including output variability, latency, context limitations, and failure modes.
Strong UX fundamentals spanning information architecture, interaction design, visual design, accessibility, and systems thinking.
Proficiency with Figma and the ability to build prototypes that effectively communicate dynamic interactions and system behavior.
Strong collaboration skills with technical partners and the ability to make clear trade-offs between user needs, model capabilities, engineering constraints, and business goals.

What makes this role worth considering

You’ll work on genuinely complex problems that impact how engineers design life-changing products. CoLab has grown to over 250 people, raised $72 million in Series C funding, and partners with manufacturers like Bombardier, GE Appliances, and Bobcat. This is a hands-on individual contributor role where you’ll both execute design work and guide design direction across teams, giving you meaningful influence over how the company approaches AI interaction patterns.