Senior Product Designer

Role Purpose: Responsible for the design of innovative and engaging user experiences for Humanetics digital products — working AI-first, using agentic tools and workflows to compress design cycles and continuously pioneer new ways of working for the design function.

We are seeking a Senior Product Designer who has worked through an agentic AI transformation and come out the other side designing differently. You have moved beyond using AI as an autocomplete: you orchestrate agentic tools to go from problem statement to working, testable product experiences in hours instead of weeks, and you have a track record of bringing new tools into a design organization to drive compression — shorter cycles, fewer handoffs, higher fidelity earlier — and new ways of working for the whole team.

In this role you will lead the design of innovative and engaging user experiences for our products. You still need everything that made great senior designers great — an eye for clean and artful design, superior UI craft, and the ability to translate high-level requirements into intuitive, functional interfaces — but you now express that craft through an AI-native workflow: prompt-driven exploration, agentic prototyping in working code, and design systems structured so both humans and AI agents can build with them.

You will work closely with cross-functional teams, including customers, product managers, and engineers, to create intuitive, seamless, and delightful experiences for our users.

This is the ideal role for someone who wants to be part of a customer-driven organization while improving automobile safety across the world. Join us in Transforming the Everyday!

About You:

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.

Tools and Technologies We Use:

AI and design: Claude (including Claude Code and agentic workflows), Figma (including Figma Make and Figma AI), Cursor, v0, Lovable, ProtoPie. Engineering stack: JavaScript, HTML, CSS, Flutter, Angular, React, Python, Java, Postgres, Kubernetes, Docker, GitLab, AWS. This list evolves quickly — we expect you to help evolve it.

Other Significant Role Requirements:

Supervision: Self-starter.

Travel: Up to 10% travel, including international.

Education and/or Experience:

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.