Lead Product Designer — Platform & Experience

FutureFit AI is focused on helping people secure better jobs more efficiently, particularly those facing barriers to opportunity. They are seeking a Lead Product Designer to oversee the design coherence and visual standards of their platform, ensuring a unified experience for diverse users including job seekers and employers.

Responsibilities:

• Own the platform's visual language and design system — components, patterns, tokens, layout, typography, and motion
• Treat accessibility as a first-class design constraint, not a remediation afterthought
• Build a shared foundation every surface can draw from, while letting surfaces diverge deliberately where their users and jobs differ
• Lead end-to-end design of new product areas, major launches, and complex reworks (e.g., AI Coach, talent onboarding and registration redesigns, staff-assist tooling)
• Design AI-mediated experiences, multi-step workflows, data-dense admin surfaces, and government-process flows like RESEA
• Framing, concept exploration, information architecture, interaction design, prototyping, high-fidelity UI, and design-spec handoff with edge, empty, loading, and error states fully specified
• Run research directly with users and customers — job seekers (including those using assistive tech), career navigators, and agency staff — and turn what you learn into design decisions
• Own the design quality gate in our product development lifecycle, and mentor and raise the design fluency of PMs, engineers, and any future designers

Requirements:

• Deep product design craft across complex, multi-persona B2B/B2G or enterprise SaaS — not just consumer or marketing surfaces
• Demonstrated ownership of a design system at meaningful scale
• Fluency in accessible design and a track record of meeting WCAG 2.2 AA / Section 508 (or equivalent) in production, including designing conversational and data-dense interfaces accessibly
• Range from systems-level thinking down to pixel-level polish, with strong IA and interaction-design fundamentals
• Experience designing for AI-mediated or recommendation-driven experiences — surfacing model output, handling uncertainty, building user trust
• Ability to run your own user research and synthesize it into design decisions
• Comfort prioritizing where design depth matters across a wide surface
• Experience in digital government, public benefit technology, or civic tech
• Familiarity with workforce development or other regulated, compliance-heavy domains
• Experience designing for multi-tenant platforms where one system serves many configurable customers
• Comfort operating as the senior-most design voice in the room with executives and customers