Senior UX Designer

Cleo (US)•San Francisco, CA

1d•$140,000 - $160,000

About The Position

Cleo Communications US, LLC is seeking an AI-native Senior UX Designer to shape enterprise software experiences for complex supply chain environments. The role sits at the intersection of enterprise UX, AI-enabled workflows, systems thinking, and business outcomes. The designer will help define how intelligent capabilities are integrated into operational workflows and contribute to evolving UX practice in an AI-centered product development lifecycle. The position partners closely with Product Management, Engineering, Architecture, Data/AI teams, and executive stakeholders to create scalable, trustworthy, high-impact experiences. It includes setting experience strategy, framing complex problems, translating user and business insights into clear design direction, designing AI-centered experiences, validating concepts, collaborating on implementation, and shaping design systems and interaction patterns.

Requirements

At least 5 years designing complex, data-rich enterprise applications, with a 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.
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.
Experience integrating user research and product data into decisions, using qualitative and quantitative inputs to drive outcomes.
Experience collaborating closely with engineering teams, influencing trade-offs, and ensuring 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 AI-enabled design workflow capability that improves speed, quality, insight generation, and collaboration effectiveness.
Expert-level discernment in responsible AI-assisted UX work, including establishing best practices and governance.
Ability to define scalable UX patterns for AI-native enterprise experiences that balance intelligence, trust, explainability, and user control.
Ability to create trusted AI experiences that improve decision-making while preserving transparency and accountability.
Strong curiosity, strategic thinking, and learning agility are valued 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 presented to users.
Lead problem framing and user insight development for complex supply chain workflows using user research, data, and AI-assisted discovery techniques.
Translate ambiguous problems into experience direction and deliverables, including concepts, information architecture, wireframes, prototypes, interaction models, design specifications, and 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 on implementation, iteration, trade-offs, usefulness, usability, and design quality.
Represent UX in cross-functional decisions and advocate for user and business outcomes while helping teams navigate complexity and ambiguity.
Shape and scale design systems and interaction patterns that support consistency and innovation, particularly for AI-driven and data-rich experiences.
Contribute to design excellence, 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 preserving trust, transparency, accountability, explainability, and user control.