Sandbar

Sandbar

Lead Product Designer

New York City

Sponsorship not specifiedDetected 163 days ago
iOSMachine LearningLLMsDesign Systems

About the role

  • About Sandbar Sandbar is an interface company in New York City.
  • We aim to augment individuals so we can each think, act, and move more freely.
  • Our team has built SW, ML, and HW products across Meta, CTRL-labs, Google, Apple, Fitbit, Peloton, and Equinox.

Responsibilities

  • Own end-to-end product design spanning visual, AI, and interaction design
  • Work closely with engineers and product to scope and implement new experiences
  • Design @ Sandbar https://x.com/minafahmi/status/2034121829942444379
  • We're looking for a Lead Product Designer for Stream, a new conversational interface.

Requirements

  • Experience shipping iOS-based apps is required
  • Portfolio of prior work is required
  • Experience developing design systems spanning multiple platforms
  • Demonstrated passion and enthusiasm for large language models
  • Experience with novel form factors, inputs, audio, or vision are a plus
  • Experience in non-software design disciplines such as architecture or industrial design is a plus
  • Health, vision, and dental benefits
  • Company-sponsored 401(k)
  • Unlimited PTO and sick time
  • Early stage equity

Benefits

  • You'll work closely with software engineers, machine learning engineers, and founders to lead the design of a new computer.
  • This role is perfect for someone with wide vision and minute attention to detail, who is humanistic and technical, who is experienced and yet continually ready to start over.

Company info

  • About Sandbar
  • Sandbar is an interface company in New York City.
  • Our first product, Stream, is a self extension-a private voice ring and conversational interface.
  • Stream has been featured in WSJ, Bloomberg, & Wired, and begins shipping in Summer '26.
  • Join us in creating technology that extends human thinking.

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