Lead Product Designer, FutureFit

• Important note: Data shows that men typically apply when meeting 3/10 requirements, while women often wait until it's 10/10. We encourage you to apply if you see a strong (not necessarily perfect) fit
• 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
• Your alma mater isn't our focus. Your grit, hunger, and drive are. If you learn continuously, tackle challenges head-on, and know your strengths and gaps intimately, you're our person

Desirable

• We're seeking a Lead Product Designer to own the look, feel, and interaction coherence of the entire FutureFit AI platform across job seeker, staff, employer, and agency-admin surfaces — and to lead the design of our largest, most complex feature initiatives end to end
• FutureFit AI is the connective tissue between workers, training, and employers
• That thesis only holds if the product feels like one coherent, trustworthy system to four very different audiences using it for very different reasons: a job seeker navigating a career change, a career counsellor managing a caseload, an employer posting roles and searching for candidates, and a state agency or intermediary administrator overseeing the whole program
• Today the platform spans many surfaces, personas, and tenants, and it's growing fast — our flagship Massachusetts deployment is replacing the state's primary workforce platform
• Without a single owner of craft and coherence, complexity compounds into accidental inconsistency and rework
• You are the person who holds the experience standard for the whole product and personally designs the hardest, highest-stakes features
• In your first six months, success looks like a documented, adopted design foundation in use across surfaces; a significant visual facelift of the Talent Portal shipped as a visible proof point; design leadership on at least one large, complex initiative through ship; and accessibility conformance the team builds toward by default rather than something QA catches late
• Platform look and feel: Own the platform's visual language and design system — components, patterns, tokens, layout, typography, and motion. You define it, document it, evolve it, and hold the bar for it
• Accessibility by default: Treat accessibility as a first-class design constraint, not a remediation afterthought. Government deployments require WCAG 2.2 AA and Section 508 conformance; you design to that standard by default and raise the team's fluency in it
• Coherence with deliberate divergence: Build a shared foundation every surface can draw from, while letting surfaces diverge deliberately where their users and jobs differ — and exercise judgment about where design depth is worth spending versus deliberately leaving areas “good enough.”
• Feature design for our biggest bets: 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), partnering with Product and TPMs from problem definition through ship and iteration
• Interaction models and IA for hard problems: Design AI-mediated experiences, multi-step workflows, data-dense admin surfaces, and government-process flows like RESEA — including the trust and transparency patterns AI surfaces demand
• The full fidelity arc: Framing, concept exploration, information architecture, interaction design, prototyping, high-fidelity UI, and design-spec handoff with edge, empty, loading, and error states fully specified
• Design-led discovery: 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
• Craft standards and mentorship: Own the design quality gate in our product development lifecycle, and mentor and raise the design fluency of PMs, engineers, and any future designers

• At FutureFit AI, our hiring process is designed to help you assess whether this role and our culture are the right fit based on your unique skills, mindset, and experiences. We move fast and work with intensity, so we want you to get a real sense of that from the start
• Each journey includes a mix of interviews and a performance challenge. For this role, that might look like:
• Online Application
• Initial Screen with Director of People & Culture
• Interview with Hiring Manager
• Portfolio Review & Performance Challenge
• Final 1:1 Interviews
• Final Decision
• Generally, this entire process takes around 6 weeks, although the timing can vary due to specific candidate circumstances