Own the end-to-end design of core users journeys — both employee tooling use-cases and external customer interfaces and product surfaces — producing wireframes, mockups, and prototypes that make complex processes intuitive and easy-to-use
Define and evolve the product surfaces’ information architecture and ontology: the labels, categories, and conceptual models that help both high-skill and first-time users navigate and operate quickly and effectively
Establish the design foundation for AI-powered features, including how consumers and internal business users interact with intelligent guidance, dynamic recommendations, and agent-driven workflows
Build and maintain a design system that keeps the experience consistent, accessible, and ready to scale across product surfaces
Contribute to the product roadmap with user insight and design thinking — and help set the future trajectory of Coventry's workflows and external surfaces
Requirements
3–7 years of product design experience with a strong portfolio of shipped, B2B and B2C-facing work — user research, ontological decisions, wireframes, and live products
Deep UX fundamentals: information architecture, interaction design, user flows, and the ability to design for users making high-stakes decisions
Strong UI craft in Figma — typography, visual hierarchy, spacing, and production-ready designs
Actively using AI and generative AI tools in your design workflow, with a real point of view on how they change the work — not just the speed
Clear communicator who can present and defend design decisions, take feedback directly, and keep moving in a fast-paced, collaborative environment
Track record of owning projects end-to-end and delivering against milestones
Extra points:
Experience in life insurance, fintech, healthtech, or any high-trust consumer product where anxiety and decision complexity are core design problems
Background in content design, UX writing, or plain language standards in regulated industries
Early-stage startup experience
Familiarity with conversion optimization, funnel analysis, or designing with quantitative user data