Niural

Niural

Product Design intern

New York City · Intern · Internship

H1B sponsorship availableDetected 64 days ago
FigmaSketchAdobe XDUX ResearchDesign SystemsResearchMentoring

About the role

  • We're creating truly global solutions that empower businesses to thrive in the digital economy.

Responsibilities

  • Design & Prototype: Create high-fidelity mockups and interactive prototypes for sales demos, internal showcases, and product experiments.
  • Collaborate Across Functions: Work alongside product managers, engineers, and marketers to translate business goals and user needs into elegant design solutions.
  • Support Design Operations: Help organize, prioritize, and manage design tasks to ensure clear ownership and fast delivery.
  • Evolve the Design System: Contribute to maintaining and improving Niural's design systems for visual and UX consistency.
  • Participate in Research: Assist in user research, usability testing, and design reviews to gather insights and iterate quickly.
  • Learn & Grow: Work closely with senior designers for mentorship, feedback, and guidance to develop your craft and design thinking.
  • Have 1-2 years of hands-on design experience (internship, freelance, or academic projects), ideally with SaaS or digital products.
  • Have experience building interactive prototypes for web or mobile applications.
  • Bring strong visual design skills with a solid understanding of UX principles and user flows.
  • Create high-fidelity mockups and interactive prototypes for sales demos, internal showcases, and product experiments.

Skills

  • About Niural
  • About the job

Compensation

  • A competitive internship compensation package that reflects your skills and contributions.

Benefits

  • Opportunities for mentorship, learning, and hands-on experience with senior designers and product leaders.

Visa & Work Authorization

  • H1B visa sponsorship available for eligible candidates upon conversion to a full-time role.

This listing is sourced directly from Niural's careers page and normalized into a canonical job model.