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Senior UX Designer

Cleo · San Francisco Bay Area

SeniorVor OrtEnglisch

Über die Stelle

Aus der Anzeige des Arbeitgebers · Cleo · veröffentlicht am 19. Oktober 2026

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 d

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