Senior UX Designer

colabsoftware; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

ColabSoftware is seeking a Lead UX Designer to drive hands-on design for AI-powered products used in complex engineering workflows. You will collaborate with product managers, engineers and AI specialists to identify valuable applications, shape AI interaction design, and shepherd work from discovery to implementation.

You will mentor designers, guide design direction across teams and develop shared patterns for AI interactions, while ensuring accessibility and strong information architecture

Qualifications

• 5+ years of product or UX design experience, including leadership of complex initiatives.
• Shipped AI-powered interfaces with a portfolio describing AI behavior and design reasoning.
• Experience with conversational interfaces, language-model workflows, assistants or agent orchestration.
• Understanding of how latency, context limits and failure modes impact UX.
• Strong information architecture, interaction and visual design, accessibility and systems thinking.
• Proficiency in Figma and prototyping dynamic interactions; collaborate with technical partners.
• Ability to influence design across teams and mentor other designers.

Responsibilities

• Lead and support design from discovery through interaction design, implementation and iteration.
• Create conversational, contextual and agent-driven workflows to express intent and act on results.
• Make agent plans, progress, dependencies, approvals and handoffs understandable and manageable.
• Design human oversight, allowing review of proposed actions, setting limits and recovery from errors.
• Help users assess AI output with context, explanations and visibility into limitations.
• Plan customer research and usability testing; develop artifacts from flow diagrams to interactive prototypes.
• Partner with engineers during implementation and mentor designers.

Skills

UX design

Leadership

Figma

Prototyping

Information architecture

Cross-functional teamwork

Accessibility

Job description

Role overview

Lead hands-on UX design for AI-powered products used in complex engineering workflows. You’ll work with product managers, engineers and AI specialists to identify useful applications, design how people interact with AI and evaluate its recommendations, then carry that work from discovery through implementation. You’ll also guide design direction across teams, mentor designers and build shared patterns for AI interactions.

Responsibilities

• Lead and support design from discovery and problem definition through interaction design, implementation and iteration.
• Create conversational, contextual and agent-driven workflows that help people express intent, supply context and act on results.
• Make agent plans, progress, dependencies, approvals and handoffs understandable and manageable.
• Design human oversight, including ways to review proposed actions, set limits, intervene and recover from errors.
• Help users assess AI output with suitable source context, explanations and visibility into limitations.
• Plan customer research and usability testing; develop design artifacts from workflow diagrams to polished, interactive prototypes.
• Partner with engineers during implementation, use customer feedback and product insights to refine the experience, and mentor designers.

Requirements

• Typically 5+ years of product or UX design experience, including leadership of complex initiatives.
• Shipped AI-powered interfaces and a portfolio explaining the AI behavior, design choices and lessons from real user experience.
• Experience with conversational interfaces, language-model workflows, assistants, agents or agent orchestration.
• Practical understanding of how variability, latency, context limits and failure modes affect UX.
• Strong information architecture, interaction and visual design, accessibility and systems thinking.
• Figma proficiency and ability to prototype dynamic interactions; strong collaboration and communication with technical partners.
• Ability to influence design across teams and help other designers improve their work.

Nice to have

• Knowledge of machine learning, language models or agent architecture.
• Experience with enterprise controls such as permissions, approvals, activity history or auditability.
• Work on AI evaluations, code-based prototypes, APIs or engineering and manufacturing products.