Agentic Experience Designer

Safelite

7d•Remote

About The Position

We are building the next generation of how customers, clients, and colleagues interact with Safelite, with agentic AI creating new possibilities for how people access services, make decisions, and engage with us. We are seeking an Agentic Experience Designer to define how intelligent experiences work across Safelite. You will design how people express intent, how agents interpret and respond to it, how experiences adapt to context, and how interaction moves across conversation, voice, interface, and human support. Reporting to the Director of Product Design, you will work alongside product management and engineering on the teams building these experiences, shaping the product from early exploration through production and continuous improvement. This is a hands-on individual contributor role for a designer who wants to define interaction models for an emerging class of products and establish what excellent agentic experience design looks like at Safelite.

Requirements

Bachelor's Degree or equivalent work experience
4-6 years of product design, interaction design, UX design, conversation design, content design, or related experience.
5+ years of product design, interaction design, UX design, conversation design, content design, or related experience.
Demonstrated experience designing conversational, AI-enabled, adaptive, or intelligent products that have been used in production.
Strong interaction design capability across conversation, interface, information architecture, and complex service experiences.
Strong content judgment and the ability to make sophisticated interactions clear, concise, and natural.
Advanced fluency in Figma and experience contributing to scalable design systems.
Demonstrated fluency using AI throughout the design process, including discovery, synthesis, exploration, prototyping, evaluation, and optimization.
Experience using AI-native tools to analyze customer interactions, investigate agent performance, test hypotheses, and identify opportunities for improvement.
Experience working with agent evaluation, simulation, experimentation, or observability tools to understand how intelligent experiences behave in production.
Experience working in continuous discovery and delivery environments where evidence from live experiences informs what comes next.
Comfort working directly with transcripts, behavioral data, analytics, research, and evaluation results.
Strong partnership with product management and engineering, with experience jointly shaping product direction, interaction models, and outcomes.
Ability to bring structure and design judgment to emerging problem spaces where established patterns may not yet exist.

Nice To Haves

Experience spanning interaction design and content or conversation design.
Experience designing both customer-facing and colleague-facing AI experiences.
Understanding of agentic systems, including models, context, retrieval, tool use, memory, orchestration, guardrails, and evaluation.
Experience creating functional prototypes using AI-enabled development and prototyping tools.
Experience with AI-native conversation intelligence, agent evaluation, simulation, or optimization tools.
Experience designing voice and multimodal interactions.
Experience designing accessible conversational, adaptive, or voice experiences.

Responsibilities

Design agentic experiences: Design end-to-end experiences that allow customers, clients, and colleagues to express intent and interact naturally with intelligent systems. Define how experiences move across conversation, voice, visual interfaces, structured inputs, and system actions based on the needs of the interaction. Design how agents interpret intent, gather context, clarify ambiguity, make recommendations, confirm decisions, take action, and communicate outcomes. Account for the complexity of real interactions, including changing intent, incomplete information, interruption, correction, repeat engagement, and exceptions. Design beyond the interaction itself, connecting the agent experience to the underlying service, operational process, and outcome.
Design agency, control, and trust: Establish clear interaction models for what an agent can understand, recommend, decide, and act on. Design appropriate levels of customer control based on context, confidence, consequence, and risk. Create experiences that communicate uncertainty and limitations clearly without placing the burden of navigating the system on the user. Design escalation and human intervention as part of the experience, preserving context and continuity across transitions. Integrate transparency, consent, and explainability into the experience in ways that support trust without introducing unnecessary friction.
Define interaction patterns for intelligent experiences: Establish reusable patterns for agentic, conversational, adaptive, and multimodal experiences across Safelite. Explore new interaction models made possible by systems that can interpret context, generate responses, take action, and adapt over time. Partner with design system teams to integrate agentic patterns into Safelite’s broader experience system. Codify principles and patterns as the organization learns, creating a foundation that becomes stronger with each implementation.
AI-Enabled Experience Optimization: Use AI-native tools to analyze customer interactions at scale, identify patterns, surface emerging issues, and uncover opportunities to improve agent behavior and experience quality. Move between patterns across thousands of interactions and individual conversations to understand where intent, agent behavior, and outcomes diverge. Use AI to form and investigate hypotheses, identify root causes, and determine where changes to the agent or experience can have the greatest impact. Combine conversation intelligence, behavioral data, research, and evaluation to develop a clear point of view on what should change and why. Partner with product and engineering to translate those insights into improvements, then evaluate how those changes perform in live interactions. Create a continuous feedback loop where AI helps us understand and improve the AI-enabled experiences we put into the world.
Performs other duties as assigned
Complies with all policies and standards