Senior Product Designer

Job Summary

Required Qualifications

• •Bachelor's or master's degree in design, human-computer interaction, or a related field — or equivalent demonstrated expertise
• •5–8 years of experience in UI/UX design for digital products, including recent hands-on experience in an AI-augmented or agentic design practice
• •A track record of introducing AI tools and workflows that measurably compressed design or delivery timelines (be prepared to share specifics: what you adopted, what you retired, and what it saved)
• •Strong portfolio demonstrating your design process, problem-solving skills, and AI-assisted ways of working alongside engaging, intuitive outcomes
• •Proficiency in Figma and modern AI design/prototyping tools (e.g., Claude, Figma Make, Cursor, v0, Lovable, ProtoPie or similar)
• •Experience building component libraries and rapid customer-facing prototypes used to validate business requirements, and carrying validated concepts through to production-ready designs
• •Experience with user research methodologies, including AI-assisted synthesis and analysis
• •Ability to work collaboratively in a cross-functional team environment
• •Excellent communication and presentation skills
• •Strong leadership and mentoring skills, including guiding peers through AI adoption and new ways of working
• •Up to 10% travel, including international

Desired Qualifications

• •You are passionate about designing intuitive, high-quality digital experiences that solve real user problems — and you believe AI raises the bar for craft rather than replacing it
• •You have lived through an agentic AI transformation of a design practice and can speak concretely to what changed: which tools you adopted, which rituals and handoffs you eliminated, and how much faster your team shipped as a result
• •You prototype in working code using agentic tools (e.g., Claude, Figma Make, Cursor, v0, Lovable), replacing static mockups with interactive, testable experiences that stakeholders can react to on day one
• •You build fast, customer-driven prototypes used to validate business requirements directly with users and stakeholders — then convert what's validated into production-ready designs without losing fidelity or intent
• •You drive compression across the design lifecycle — collapsing discovery, ideation, prototyping, validation, and handoff into short, continuous loops rather than sequential phases
• •You evaluate emerging AI tools constantly, run structured pilots, and champion adoption of the ones that earn their place — bringing the rest of the team along through demos, playbooks, and pairing
• •You collaborate with product managers, engineers, and other stakeholders to translate product goals into thoughtful, user-centered design solutions
• •You own the full design lifecycle — from AI-assisted exploration and wireframes through polished visuals and engineering handoff, increasingly delivering specs as structured, agent-readable artifacts rather than redlines
• •You simplify complex workflows through clear interaction patterns and usable, accessible design — including emerging AI-native patterns such as conversational UI, agent supervision, and human-in-the-loop controls
• •You use AI to amplify user research — synthesizing interviews, surveys, and usability sessions rapidly — while validating assumptions with real users before conclusions ship
• •You are comfortable building and maintaining a component library and design system from the ground up — tokenized, well-documented, and structured so both people and AI agents generate on-brand, consistent, production-ready output by default
• •You present your work confidently to peers and stakeholders, incorporating feedback to iterate and improve
• •You maintain a strong portfolio that shows not just polished outcomes but your AI-augmented process — and the cycle-time or quality gains it produced
• •You understand front-end development (HTML/CSS/JS) well enough to steer AI-generated code, collaborate with engineers, and respect implementation constraints
• •You keep up with the AI design tooling landscape as it shifts month to month, bringing fresh ideas and approaches to your work
• •You mentor other designers through the transformation — informal coaching, design critiques, and hands-on help adopting agentic workflows
• •Self-starter
• •Self-directed, high energy, with the ability to own features and experiences end-to-end
• •Treats agentic tools as core instruments of the craft; skilled at prompting, orchestrating, and critically evaluating AI output; knows when to trust it, when to steer it, and when to overrule it
• •Thrives amid rapid tool and process change; re-learns workflows as the AI landscape shifts; manages competing demands and deals well with frequent change, delays, or unexpected events
• •Displays original thinking and creativity; meets challenges with resourcefulness; generates suggestions for improving how the team works, not just what it makes; presents ideas in a manner that gets others' attention