SaaS Product Designer

Quest Analytics

2d•Remote

About The Position

At Quest Analytics, provider network management is the company’s focus. For more than 20 years, it has helped health plans, healthcare organizations, and government agencies navigate regulatory and compliance requirements while building provider networks that give members access to care. The Product Designer will shape clients’ experience of the QES platform by designing workflows and interfaces used by health plans and network teams. A key focus is growing the design system into a standardized, documented, developer-ready component library shared by product design and engineering. The work includes building reusable UI components, documenting them, and creating workflows that promote consistency, accessibility, and efficiency across the product suite. The designer will partner closely with engineering and explore AI-assisted development tools, including Claude and Claude Code, to strengthen the connection between design and development and make the system easier to implement and maintain. This position works directly with the Product Designer Manager and design team to prioritize components, and with engineering to validate implementations and resolve adoption friction. It is a contract role, and the AI-assisted workflow must be documented so the internal team can maintain and extend it after the contract ends. Quest Analytics is a remote-first organization. Employees are expected to reside and work from the location disclosed during hiring, and relocations must be communicated to and approved by the company in advance. Preferred work locations are in the listed U.S. states. Visa sponsorship is unavailable, and applicants must be legally authorized to work in the United States.

Requirements

At least 4 years of UI, product, or related design experience.
Hands-on experience building and owning a design system component library, rather than solely working within an established system.
A portfolio demonstrating relevant UI and design system work, including component library development.
Hands-on experience using Claude and/or Claude Code in production workflows, including configuring, prompting, and troubleshooting AI-assisted development tools.
Advanced proficiency in Figma, including variables/design tokens, component variants, and auto layout.
Ability to create clear, usable design system documentation for designers and engineers.
Understanding of how design tokens translate into code, such as CSS variables or similar implementation approaches.
Strong written and asynchronous communication skills, and ability to collaborate across design and engineering teams.
Working knowledge of WCAG 2.2 Level AA accessibility standards and their application to UI components and design systems.
Self-motivation and ability to work in a fast-paced, deadline-oriented environment.
Bachelor’s degree in a design-related field or an equivalent combination of relevant professional experience and demonstrated expertise; a strong portfolio and hands-on design system experience may be considered instead of a formal degree.
Legal authorization to work in the United States.

Responsibilities

Design and refine core UI components, including form elements, filters, navigation, and tables, using the existing token and typography foundations.
Ensure components work across the six-workspace shell pattern and can be reused across products.
Define consistent component variants and states, including default, hover, focus, disabled, and error, as well as responsive behavior.
Create component-level documentation covering usage guidelines, do’s and don’ts, states and variants, and accessibility notes.
Document how design tokens map to code implementation.
Set up or extend a documentation platform, such as Storybook, as a shared source of truth for designers and engineers.
Configure Claude Code and related tools, such as Figma Code Connect or MCP-based workflows, to connect the design system to the codebase.
Build workflows and configuration that help engineers generate design-system-compliant code faster and reduce manual handoff steps.
Document the AI-assisted workflow so the internal team can maintain and extend it after the contract ends.
Work with the Product Designer Manager and design team to prioritize components.
Partner with engineering to validate implementation and resolve adoption friction.