BrightAI

BrightAI

Senior / Staff Product Designer

Palo Alto, CA · Staff+

Sponsorship not specifiedDetected 54 days ago
iOSAndroidData VisualizationUX ResearchUX DesignWireframingDesign SystemsMotion DesignResearchCollaborationMentoring

About the role

  • This role is focused on the Stateful vertical and involves designing high-information density, configurable systems for B2B platforms.

Responsibilities

  • Dashboard and data visualization design
  • Contribution to and stewardship of the design system
  • Design specifications and close collaboration with engineering through implementation
  • The Senior/Staff UX Designer will own the end-to-end user experience across BrightAI's product surfaces - physical hardware devices, mobile applications, and web dashboards.
  • As a senior/staff IC, this person sets the bar for design quality, mentors other designers, and shapes how design operates across the company.
  • 7+ years of UX design experience, with a portfolio demonstrating shipped products across multiple platforms
  • Experience defining and maintaining design systems and component libraries
  • Experience leading design reviews, mentoring junior designers, or contributing to hiring

Nice to have

  • Strong experience designing B2B products and platforms, with a focus on data visualization, geospatial visualization, and visual experiences that are immersive and interactive.
  • Experience designing web portals or dashboards with complex data visualization, analytics, or infographics
  • Mobile application UX experience across iOS and Android
  • Experience designing for AI-driven products or systems where outputs are probabilistic or generative
  • Experience designing white-label platforms where the UI adapts across multiple tenants or brands
  • Experience with conversational, voice, or multimodal interfaces
  • Experience designing UX for physical hardware devices, including onboarding, connectivity, setup, and data flow interactions

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