Senior UX Designer

Cleo•San Francisco, CA

About The Position

Cleo Communications US, LLC is seeking an AI-native Senior UX Designer to shape enterprise software for an AI-first world. The role focuses on understanding users and translating complex supply chain challenges into intuitive, elegant experiences. The designer will work across enterprise UX, AI-enabled workflows, systems thinking, and business outcomes, helping define how intelligent capabilities fit into complex operational workflows and how UX is practiced in an AI-centered product development lifecycle. The position partners with Product Management, Engineering, Architecture, Data/AI teams, and executive stakeholders to create scalable, trustworthy, high-impact experiences for complex supply chain environments. It includes setting experience strategy, framing problems, developing user insights, designing AI-centered interactions, validating solutions, supporting implementation, and shaping design systems and interaction patterns. The role also contributes to design excellence and responsible AI-assisted UX practices.

Requirements

At least 5 years of experience designing complex, data-rich enterprise applications and simplifying challenging workflows into intuitive, high-impact experiences.
Experience designing adaptive AI-infused experiences that combine intelligent guidance, automation, conversational workflows, and decision support while preserving usability, explainability, user agency, and operational trust.
Experience leading UX for meaningful product areas or initiatives and influencing direction across product, engineering, and design.
A portfolio demonstrating end-to-end product thinking, from problem framing and user insight through shipped outcomes.
Strong systems thinking and ability to understand and design within complex technical domains such as integrations, data platforms, and supply chain systems.
Ability to navigate ambiguity and turn loosely defined problems into actionable design strategies and clear experience direction.
Experience incorporating user research and product data into decisions, combining qualitative and quantitative inputs to drive outcomes.
Ability to collaborate closely with engineering teams, influence trade-offs, and ensure high-quality implementation in iterative environments.
Strong communication and influencing skills, including the ability to articulate rationale and align cross-functional stakeholders.
High bar for craft and detail, with ability to deliver polished, cohesive experiences balancing usefulness, usability, and visual quality.
Advanced proficiency in AI-enabled design workflows that improve speed, quality, insight generation, and collaboration.
Ability to define scalable UX patterns for AI-native enterprise experiences that balance intelligence, trust, explainability, and user control.
Expert-level discernment in responsible AI-assisted UX work.
Ability to create trusted AI experiences that improve decision-making while preserving transparency and accountability.

Nice To Haves

Strong curiosity, strategic thinking, and learning agility, particularly where direct experience may be limited.

Responsibilities

Partner with Product Management and Architecture to define experience strategy across key platform areas and determine how AI-driven capabilities are surfaced and experienced.
Lead problem framing and user insight development for complex supply chain workflows using user research, data, and AI-assisted discovery techniques.
Translate ambiguity into clear experience direction through concepts, information architecture, wireframes, prototypes, interaction models, design specifications, and polished high-fidelity UI designs.
Design AI-centered experiences involving recommendation systems, intelligent automation, conversational interfaces, predictive intelligence, decision-support workflows, and agentic interaction models.
Use AI-assisted workflows for research synthesis, ideation, prototyping, content generation, design exploration, usability analysis, and documentation.
Drive continuous validation and learning using qualitative and quantitative methods to evaluate experiences and inform product decisions.
Collaborate with engineering teams to support high-quality implementation, iterate in real time, influence trade-offs, and uphold standards for usefulness, usability, and polish.
Represent UX in cross-functional decision-making, advocate for user and business outcomes, and help teams navigate complexity and ambiguity.
Shape and scale design systems and interaction patterns that promote consistency while enabling innovation, particularly for AI-driven and data-rich experiences.
Contribute to design excellence and innovation by advancing craft, systems thinking, and the role of UX in an AI-centered product development lifecycle.
Establish best practices and governance for responsible AI-assisted UX work.
Connect AI capabilities to measurable operational outcomes while supporting transparency, accountability, trust, and user control.