Part-time UI Designer

3 month ago

Job Description

(Pacific/California time zone).
We are seeking a part-time UI designer to help design beautiful web experiences for our customers. In this role, you'll work closely with our product and engineering teams to understand the objectives of each feature of our SaaS tool, and design improvements that make the user interface more intuitive and aesthetically pleasing. You'll have opportunities to interface directly with our customers to understand where they face confusion with our current UI and drive improvements. You can see our current UI by clicking through the assets on our landing page.


  • You have a strong portfolio of web app UI design work
  • You enjoy taking ambiguous user requirements and designing intuitive interfaces that customers love
  • Bonus: You are comfortable mocking up UIs in CSS/JS
  • You are authorized to work in the United States without sponsorship

The role is part-time, expecting 20-30 hours a month, and we are open to flexible schedules, as long as you are available for calls during Pacific/California time zone. Our HQ is in Santa Barbara, CA, and we are open to both in-person and remote roles. 

About Unwrap.ai

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Unwrap.ai is on a mission to make every company more customer centric. Weโ€™re helping companies like Lyft, JetBlue, and Github collect and process feedback more effectively from sources like Zendesk, App Store reviews, Reddit, and Twitter. Weโ€™re currently a team of 10 and growing quickly. We are venture-backed, including the Allen Institute for Artificial Intelligence and Kevin Oโ€™Connor's ScOp VC (former founder and CEO of DoubleClick).

Our founders, two ex-Amazon Alexa Product Managers, were tired of manually sifting through customer reviews, support tickets, and bugs while working on Alexa. They understood the importance of listening to customers and prioritizing their requests effectively, but simply had too much feedback to parse through. So, Unwrap.ai was born to solve this problem. Specifically, at Unwrap we use Natural Language Processing to automatically cluster, tag, and analyze customer feedback to help product and engineering teams build what customers want. The ultimate goal is to make companies more customer centric and focus on the product improvements that matter most.

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