Lead Product Designer — Platform & Experience
Futurefitai
| Company | Futurefitai |
| Category | Design |
| Location | Remote (North America) |
| Remote | Remote |
| Employment | Not stated |
| Level | Lead |
| Salary | Not stated by the employer |
| Posted | 10 Jul 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (ashby) |
Description
Come join our Product team!
High velocity, high intensity, high trust, high bar, high impact, and a will to win.
If those words resonate deeply with you, this could be your next career move. We're seeking someone who leads with humility, pursues audacious goals, and is motivated by meaningful impact on people and the world.
At FutureFit AI, our core mission is to help more people get to better jobs faster and cheaper, with a specific focus on those facing barriers to opportunity. Our work helps resolve the growing issue of economic inequality, ensuring that no one is left behind in the future of work. Our AI-powered platform brings efficiency and insight to workforce development, replacing outdated systems and unlocking human potential at scale.
Ready to make an impact? Apply today.
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.
Your Role
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.
What You'll Own
- 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, a
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