Senior UX Designer

cleo; San Francisco (CA); On-site; USD 120,000 - 190,000; Full time

Job summary

Cleo is seeking an AI-native Senior UX Designer to shape enterprise software in an AI-first world. You will translate complex supply chain challenges into intuitive, high-impact experiences, partnering with product, engineering, and data teams to surface intelligent capabilities in critical workflows.

You will lead end-to-end design from research to high-fidelity prototyping, advocate for users, and balance business outcomes in a fast-paced, cross-functional environment.

Qualifications

• Experience designing complex, data-rich enterprise applications.
• Ability to translate complex problems into intuitive UX solutions.
• Experience with AI-enabled design workflows and explanations.

Responsibilities

• Define experience strategy across platform areas with AI-driven capabilities.
• Lead user insight development for complex supply chain workflows.
• Translate ambiguity into clear design direction across artifacts from concept to high-fidelity UI.

Skills

UX design

Data-rich enterprise apps

Systems thinking

AI-enabled design

User research

Cross-functional collaboration

Job description

We are seeking an AI-native Senior UX Designer to help shape the future of enterprise software in an AI-first world. This role is for designers who are driven to deeply understand users and translate complex supply chain challenges into intuitive, elegant experiences. You will join a team redefining how products are conceived, designed, and built - leveraging AI to accelerate insight, decision-making, and execution. This role sits at the intersection of enterprise UX, AI-enabled workflows, systems thinking, and business outcomes. You will help define how intelligent capabilities are surfaced inside complex operational workflows while also evolving how UX itself is practiced in an AI-centered product development lifecycle. You will work closely with Product Management, Engineering, Architecture, Data/AI teams, and executive stakeholders to design scalable, trustworthy, and high-impact experiences for some of the world's most complex supply chain environments.

Essential Duties & Responsibilities

• Partner with Product Management and Architecture to define experience strategy across key platform areas - shaping not just what we build, but how intelligent, AI-driven capabilities are surfaced and experienced.
• Lead problem framing and user insight development for complex supply chain workflows, leveraging a mix of user research, data, and AI-assisted discovery techniques to uncover high-impact opportunities.
• Translate ambiguity into clear experience direction using appropriate fidelity - from rapid concepts to information architecture, wireframes, prototypes, interaction models, design specifications, and polished high-fidelity UI designs.
• Design AI-centered user experiences that leverage recommendation systems, intelligent automation, conversational interfaces, predictive intelligence, decision-support workflows, and agentic interaction models.
• Use AI-assisted workflows throughout the UX process - including research synthesis, ideation, prototyping, content generation, design exploration, usability analysis, and documentation acceleration.
• Drive continuous validation and learning, combining qualitative and quantitative methods to evaluate experience effectiveness and inform product decisions.
• Collaborate deeply with engineering teams to ensure high-quality implementation - iterating in real time, influencing trade-offs, and ensuring experiences meet a high bar for usefulness, usability, and polish.
• Act as a strong UX voice in cross-functional decision-making, advocating for user and business outcomes while helping teams navigate complexity and ambiguity.
• Shape and scale design systems and interaction patterns that support consistency while enabling innovation - particularly for AI-driven and data-rich experiences.
• Contribute to a culture of design excellence and innovation, raising the bar for craft, systems thinking, and the role of UX in an AI-centered product development lifecycle.

AI Fluency Competencies

• Demonstrates advanced AI-enabled design workflows that materially improve speed, quality, insight generation, and collaboration effectiveness
• Can define scalable UX patterns for AI-native enterprise experiences balancing intelligence, trust, explainability, and user control
• Operates with expert-level discernment. Establishes best practices and governance for responsible AI-assisted UX work
• Connects AI capabilities to measurable operational outcomes without over-designing or over-promising AI functionality
• Creates highly trusted AI experiences that improve decision-making while preserving transparency and accountability

Prerequisites

• 5+ years designing complex, data-rich enterprise applications, with a track record of simplifying challenging workflows into intuitive, high-impact experiences.
• Experience designing adaptive AI-infused experiences that combine intelligent guidance, automation, conversational workflows, and decision-support capabilities while preserving usability, explainability, user agency, and operational trust.
• Strong demonstrated curiosity, strategic thinking, and learning agility are valued where direct experience may be limited.
• Experience leading UX for meaningful product areas or initiatives, influencing direction across product, engineering, and design.
• Portfolio demonstrating end-to-end product thinking - from problem framing and user insight through to shipped outcomes.
• Strong systems thinking, with the ability to understand and design within complex technical domains (e.g., integrations, data platforms, supply chain systems).
• Ability to navigate ambiguity and define clear experience direction, translating loosely defined problems into actionable design strategies.
• Experience integrating user research and product data into decisions, combining qualitative and quantitative inputs to drive outcomes.
• Deep collaboration with engineering teams, influencing trade-offs and ensuring high-quality implementation in iterative environments.
• Strong communication and influe