Product Designer II

Responsibilities

• Own end-to-end design for assigned initiatives — from problem framing and research through prototyping, validation, and implementation partnership.
• Conduct and synthesize research through user interviews, usability testing, and data analysis to validate design decisions and inform product strategy.
• Shape solutions in partnership with product managers — helping define problems, outline approaches, and establish success criteria when requirements are still forming.
• Create user flows, diagrams, Figma designs, and coded prototypes that communicate direction clearly to stakeholders and engineering.
• Navigate and collaborate in shared code repositories — reading existing prototypes, iterating in an IDE with AI assistance, and partnering with engineers during implementation.
• Partner with engineering to protect design integrity while balancing technical constraints.
• Contribute to design critiques and help elevate quality across the team.
• Champion user-centered design in a regulated product — where trust, auditability, and operational clarity matter as much as polish.

Requirements

• Bachelor's degree or equivalent experience.
• 3–5 years of product design experience, ideally on complex or regulated products (fintech, healthcare, enterprise B2B, insurance, or similar).
• Portfolio demonstrating systems thinking, research-to-shipping discipline, and attention to interaction and visual detail.
• Track record of delivering product work with measurable impact — even when the path from research to production isn't linear.
• Proficiency in Figma and modern prototyping approaches.
• Hands-on experience building or iterating on designs in an IDE or code-based environment (e.g., Cursor, VS Code with AI assistants, Claude Code) — not only watching engineers prototype.
• Comfort reading and navigating coded prototypes and collaborating in repos with engineering and product partners.
• Strong analytical skills; comfortable using qualitative and quantitative inputs to inform decisions.
• Excellent communication skills and a track record of productive cross-functional partnership.
• Comfortable operating in ambiguity and making progress with incomplete information.

Nice-to-Haves

• Demonstrated use of AI in your daily design practice — with specific examples of what you automate, what you keep human, and what failed.
• Experience contributing to or working within design systems and component libraries.
• Have experience with agentic or multi-step AI workflows in design or product exploration.
• Are familiar with design-system-to-code pipelines (Figma → production components).
• Have a background designing internal tools, ops platforms, or data-heavy workbench experiences.
• Have exposure to AI-assisted product features (copilots, intelligent document review, workflow automation).