Lead UI & UX Designer

UKGLowell, MA
17h

About The Position

We’re seeking an experienced Lead UX Designer to work across complex enterprise product areas where AI is changing how users interact with software, complete tasks, and make decisions in their approach to work. This role is for a designer with strong product judgment, systems thinking, and craft who can shape how AI shows up in the experience and turn evolving capabilities into workflows that are clear, useful, and grounded in real customer needs. You will work closely with UX, product, engineering, data, and AI teams to design experiences that are more adaptive, proactive, and context-aware, while maintaining trust, transparency, user control, and clear system limits. The role combines strong hands-on execution with meaningful product influence and calls for someone who can navigate complexity, make thoughtful design decisions, and help raise the quality of outcomes across teams.

Requirements

  • 8+ years of experience in UX, product design, or interaction design, including experience driving complex design work in enterprise environments and/or mobile applications.
  • Strong track record of delivering complex, scalable design solutions and shaping design direction across workflow-heavy product experiences.
  • Experience designing products that incorporate AI capabilities, or adjacent experiences that require trust, feedback, control, and adaptive behaviour.
  • Demonstrated use of AI in the design process to improve exploration, synthesis, prototyping, and execution quality.
  • Experience contributing to shared patterns, reusable frameworks, or design systems that improve quality and consistency across products.
  • Understanding of accessibility and inclusive product design.
  • Strong proficiency in design and prototyping tools, along with a willingness to adopt new tools and techniques as the design process evolves.
  • Ability to identify, apply, and evolve design patterns, processes, and best practices while advocating for customer value and building alignment across teams.
  • Excellent storytelling, presentation, and facilitation skills, with the ability to communicate complex ideas clearly across disciplines and levels.
  • A portfolio that clearly demonstrates your product thinking, design craft, and influence on design outcomes and ways of working, including examples of how you design for AI, complex workflows, and evolving user needs.
  • Bachelor’s or master's degree in HCI, Design, Computer Science, or a related field, or equivalent practical experience.

Nice To Haves

  • Direct experience with product Localization and Accessibility
  • Experience within the Human Capital Management or Workforce Management industry
  • Experience contributing to the development and adoption of Design Systems, Pattern libraries and Style Guides
  • Facility designing for various front-end technologies and frameworks (such as Angular React, Ember, Material, Bootstrap, Ionic)

Responsibilities

  • AI-Enabled Product Experiences: Shape how AI capabilities show up and behave in the experience. Define patterns that make them clear, useful, and easy to act on. Design for trust, transparency, feedback, control, and safe use so users can understand what the system is doing, where its limits are, and how to respond when outputs vary or require judgment.
  • Conversational, Proactive & Context-Aware Workflows: Design experiences that use conversation, context, and automation to reduce friction in complex tasks. Create flows that respond to user intent, workflow state, and changing needs in ways that feel relevant and useful. Design for adaptive behaviour and personalization where they improve the experience, while giving users clarity and control over how the system responds.
  • End-to-End Product Design: Drive design from discovery through execution across complex product areas. This includes problem framing, workflows, wireframes, prototyping, testing, and iteration. Go beyond standard deliverables by evaluating and refining how AI behaves in the experience, including how it guides users, responds to context, supports task completion, and recovers when confidence is low or outputs are incomplete.
  • Product Influence & Cross-Functional Partnership: Work closely with product, engineering, data, and AI teams to shape requirements and guide design decisions. Evaluate trade-offs and turn evolving capabilities into useful, feasible outcomes that align with customer needs and business priorities. Help establish shared patterns that bring consistency to how AI-supported experiences behave across product areas.
  • Research, Insight & Validation: Use research and product data to inform design decisions from early concepts to final solutions. Validate the work through customer insight, testing, and evidence to improve usability and outcomes. Test and refine AI-supported experiences based on how people use them, especially when outputs are unclear, confidence varies, or users need better ways to understand, correct, or steer the system.
  • Quality, Craft & Accessibility: Create scalable, accessible experiences with a high bar for clarity, usability, consistency, and craft. Pay close attention to interaction quality, visual detail, and the overall experience across complex workflows, including moments where the system is adapting, suggesting, or acting on behalf of the user.
  • Mentorship & Team Development: Contribute to design quality through reviews, critique, and mentoring. Help strengthen team practices and support a culture of thoughtful feedback, continuous improvement, and modern design ways of working.
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