Lead UX Designer

We are looking for a Lead UX Designer who operates at the intersection of design craft and AI-augmented delivery.

You'll own the end-to-end experience design for enterprise agentic interfaces — conversational workflows, multi-step task orchestration, contextual interventions, and trust-calibration patterns that help developers and knowledge workers confidently delegate to, collaborate with, and supervise AI agents.

This is not a "chat UI" role; you'll be designing for systems where agents discover information across fragmented sources, navigate governance and access constraints on behalf of users, and surface decision-ready context rather than raw answers.

Responsibilities

• Own end-to-end experience design for enterprise agentic interfaces, including conversational workflows, multi-step task orchestration, and contextual interventions
• Design trust-calibration patterns that help developers and knowledge workers delegate to, collaborate with, and supervise AI agents
• Architect how systems communicate intent, handle ambiguity, manage repair and fallback, and maintain coherence across multi-turn, multi-agent interactions
• Ensure the user's mental model of "who is doing what" remains clear at all times across complex agent interactions
• Translate ambiguous problem spaces into coherent, testable experience frameworks
• Shape a nascent agentic experience framework that is still being defined, contributing to underlying design system, interaction patterns, and heuristics
• Deliver production-ready designs for enterprise ecosystems while establishing standards that govern how agentic experiences behave
• Vibe code functional prototypes and use generative AI to rapidly explore layout and content variations
• Leverage LLM-assisted workflows to accelerate research synthesis and specification writing
• Articulate design rationale to engineering and product partners in a fast-moving environment

Requirements

• 10-15 years of experience in UX design, with a strong portfolio of complex, multi-state interaction design
• Expertise in conversational design principles, including dialogue scripting and the deeper architecture of system communication, ambiguity handling, and multi-turn coherence
• Background in designing for enterprise agentic interfaces, multi-step task orchestration, and trust-calibration patterns
• Proficiency in UX/UI design tools
• Fluency with AI-native design and prototyping tools, including vibe coding, generative AI for layout exploration, and LLM-assisted workflows
• Capability to treat AI tools as a power user treats a codebase — orchestrating, iterating, and knowing when output needs human judgment
• Showcase of translating ambiguous problem spaces into coherent, testable experience frameworks
• Understanding of governance and access constraints in enterprise ecosystems, and surfacing decision-ready context rather than raw answers
• Comfort with ambiguity, a bias toward making rather than waiting, and strong ability to communicate design rationale to engineering and product partners
• Proficiency in English at an Upper-Intermediate level (B2) or higher