SaaS Product Designer
Product, Design · Full-time
United States
At Quest Analytics, provider network management is our focus. For more than 20 years, we’ve helped health plans, healthcare organizations, and government agencies navigate complex regulatory and compliance requirements while building networks that give members access to the care they need.
As a Product Designer at Quest Analytics, you’ll shape how our clients experience the QES platform. You’ll design the workflows and interfaces that health plans and network teams rely on, and you’ll play a key part in growing our design system into a standardized, documented, developer-ready component library that product design and engineering teams share.
Your work will include building reusable UI components, writing the documentation behind them, and creating workflows that make consistency, accessibility, and efficiency the norm across our product suite. You’ll partner closely with engineering and explore how AI-assisted development tools, including Claude and Claude Code, can strengthen the connection between design and development and make the system easier to implement and maintain.
What You'll Do
- Design and refine core UI components (form elements, filters, navigation, tables, etc.) on top of Quest’s existing token and typography foundations.
Ensure components work across the six-workspace shell pattern and are reusable across products.
Define consistent variant/state conventions (default, hover, focus, disabled, error) and responsive behavior.
Build component-level documentation: usage guidelines, do’s/don’ts, states/variants, accessibility notes.
Document how design tokens map to code implementation.
Set up or extend a documentation platform (e.g., Storybook) as a single source of truth for designers and engineers.
Configure Claude Code (and related tooling, e.g., Figma Code Connect / MCP-based workflows) to connect the design system to the codebase.
Build the workflows/config that let engineers generate design-system-compliant code faster and with fewer manual handoff steps.
Document the AI-assisted workflow clearly enough that the internal team can maintain and extend it after the contract ends.
Work directly with Product Designer Manager and the design team to prioritize components.
Partner with engineering to validate implementation and resolve adoption friction.
What Success Looks Like
Bachelor’s degree in a design-related field or equivalent combination of relevant professional experience and demonstrated expertise. A strong portfolio and hands-on design system experience may be considered in lieu of a formal degree.
4+ years of UI, product, or related design experience, including hands-on experience building and owning a design system component library, rather than solely working within an established system.
Portfolio demonstrating relevant UI and design system work, including examples of 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.
Demonstrated ability to create clear, usable design system documentation for both 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, with the ability to collaborate effectively 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-motivated and able to work in a fast-paced, deadline-oriented environment
Interview ProcessThe interview process may vary by role but typically includes:
- Recruiter Video Interview
- Video Interview with the Hiring Manager
- Team and/or Panel Interview(s)
- Role-Specific Assessment, Presentation, or Case Study (if applicable)
- Professional Reference Checks via Skill Survey
- Final Interview with Executive Leadership
Video Camera Usage PolicyQuest Analytics is a remote-first organization that values collaboration, communication, and engagement. To support a connected and productive work environment, candidates are expected to participate in all virtual interviews with their cameras enabled.Video participation helps create a more interactive interview experience, allows for stronger communication and relationship-building, and supports our commitment to maintaining a secure hiring process. Camera usage also serves as an important safeguard against fraudulent applicants, identity misrepresentation, unauthorized participation, and other security risks that have become increasingly common in remote hiring environments.Candidates who are unable or unwilling to participate on camera during the interview process may not be considered for employment.
Relocation RequirementWhile many positions at Quest Analytics are remote, employees are expected to reside in and perform work from the location disclosed during the hiring process. Any relocation must be communicated to and approved by Quest Analytics in advance.This policy helps ensure compliance with employment and tax regulations, protects company and client data, and reduces risks associated with unauthorized work arrangements and employment misrepresentation.
RECRUITMENT FRAUD ALERT
We understand that some individuals have recently been impersonating recruiters from Quest Analytics® and soliciting fake job opportunities. We urge you not to disclose any personal or financial information to them. We use only our official website (https://questanalytics.com), email domain (@questanalytics.com), and verified social media accounts to communicate with candidates. If you suspect fraudulent behavior, please report it to us at infosec@questanalytics.com. We appreciate your interest in working with us.
To learn more: https://questanalytics.com/news/recruitment-fraud-alert/