Drimva

Ridgeline

Staff Product Designer

$168K–$231K

Reno, NV +5 · Staff · Full-time · Posted Sep 18, 2026

Location
Reno, NV
New York, NY
San Ramon, CA
New York, New York, United States
Reno, Nevada, United States
San Ramon, California, United States
Experience
6+ years designing and shipping successful digital product experiences.
Visa sponsorship
Must be work authorized in the United States without the need for employer sponsorship.

About the job

Designs trading workflows and AI-assisted experiences for Ridgeline’s investment management platform, from discovery and prototyping through production-ready implementation.

What you'll do

  • Design order management and electronic trading workflows, configurable workspaces, exception handling, and AI-assisted experiences.
  • Prototype, validate, and refine designs using customer research, usability testing, Figma, and AI tools.
  • Collaborate with product and engineering, contribute to design systems, and mentor designers.

What they ask for

  • Strong interaction design, systems thinking, visual design, and prototyping skills; experience with complex workflows, data-intensive applications, or enterprise software.
  • Active daily AI-native product and design workflow experience using tools such as Claude, Cursor, or Claude Code.
  • Ability to collaborate with engineering, communicate and present effectively, and mentor designers.
  • Shareable portfolio; must be authorized to work in the United States without employer sponsorship.

Nice to have

  • Experience in financial services, investment management, trading platforms, or complex financial products.
  • Front-end proficiency with React, JavaScript/TypeScript, and CSS; experience with design systems or AI-native product experiences.

Pay

$168,000-$210,000 USD base salary; $184,500-$231,000 USD base salary (select locations)

Tools

Claude, Cursor, Claude Code, Figma, React, JavaScript/TypeScript, CSS

AI focus

Design automated and AI-assisted trading workflows; use AI tools to explore and prototype experiences, evaluate edge cases, and improve design quality and velocity.

Model-written summary · the original posting is authoritative

First seen Nov 1, 2026 · Last verified Nov 5, 2026 (UTC)