Staff Product Designer at Gusto crafting seamless retirement solutions. Partnering with Product and Engineering to enhance user experiences for small business retirement planning.
Responsibilities
Partner with Product Management to define the customer problems to solve, the strategy to solve them, and the measurable outcomes that matter—across activation, engagement, and retention.
Collaborate with Data and Research to understand funnel drop-offs, behavior over time, retention drivers as well as define success metrics and iterate based on what you learn.
Drive the full design process for shipped experiences—scoping and sequencing work, prototyping, testing, and delivering MVP → iteration → longer-term improvements.
Translate regulatory/tax-driven requirements into clear flows, content, and UI patterns that build trust without overwhelming customers.
Craft compelling product narratives that align cross-functional stakeholders around the problem, strategic options, and tradeoffs, clearly explaining the reasoning behind design decisions and outcomes.
Provide thoughtful critique and mentorship to design peers; raise the quality bar across the organization. Be an innovation driver with using and designing for AI.
Champion the design system and contribute patterns/components that improve cohesion and quality.
Use AI to move quickly from concept to customer-tested artifact — building clickable, high-fidelity prototypes that generate real signal faster than traditional methods allow. Bring a clear point of view on where AI enhances the customer experience, not just your workflow, and help raise the team's fluency through your example.
Requirements
8+ years in product design, with a portfolio showing end-to-end shipped work and the impact it drove
High bar for craft across interaction design, information architecture, and visual design—especially for complex, form-heavy workflows
Bonus: Experience in regulated/high-trust domains (fintech, taxes, insurance, healthcare, benefits/retirement)
Demonstrable AI fluency in your design practice — not just familiarity with tools, but evidence of AI changing how you prototype, test, and ship. We'll ask you to show this, not just describe it.
Comfort moving between design and code — whether that means shipping UI improvements directly, working closely in the codebase with engineers, or using AI-assisted tools to close the gap between prototype and production.
Comfortable operating in ambiguity and shaping messy inputs into clear goals, tradeoffs, and shipped outcomes
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