Senior UX Designer
CleoWe 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.
What You Will Be Doing
- 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.
Your Qualifications
- 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 t
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