Product Designer

We are looking for an AI-native Product Designer who pairs strong product thinking with fluent use of modern AI design tools. You will

partner with PMs, engineers, and stakeholders to define problems, ship intuitive end-to-end experiences, and use AI to move from idea

to high-fidelity prototype in hours, not weeks.

• Product thinking — translate business goals and user insights into clear problem statements, user journeys, and success metrics.

• AI-led design — use Claude (Design / Artifacts), Canva AI, Figma AI and similar tools to ideate, draft flows, generate variations, and

prototype rapidly.

• Interaction & visual craft — design wireframes, hi-fi interfaces, micro-interactions, and system states (loading, empty, error, success).

• Research & data — run interviews, usability tests, and A/B experiments; use product analytics to validate and iterate.

• Systems & scale — build and maintain reusable components, patterns, and a design system that the team and AI tools can extend.

• Collaboration — drive critiques, sprint planning, and clean engineering handoff; document decisions and rationale crisply.

• 4+ years in Product / UI-UX Design with a strong portfolio of shipped, end-to-end work.

• Hands-on fluency with AI design tools — Claude (Design / Artifacts), Canva AI, Figma AI / Make, and the judgment to know when to

use them.

• Expert in Figma; comfortable with prompting, prototyping, and rapid iteration workflows.

• Solid grasp of user-centered, data-driven, and systems-thinking design principles.

• Sharp visual craft, strong communication, and the ability to defend design decisions with data.

• Bachelor's in Design, HCI, or a related field; experience in agile product teams.

• Experience designing for complex, data-heavy interfaces (dashboards, analytics, ed-tech).

• Advanced prototyping in Framer, Principle, or Figma's interactive components.

• Familiarity with product analytics (Mixpanel, GA, Amplitude) and motion / interaction design.

Impactful products in the data-science ecosystem · high ownership with product & leadership · fast, learning-driven culture ·

competitive compensation and growth.

Apply now and help shape the future of data-driven products.