Yuma is developing the most advanced AI agent orchestration platform, dedicated to customer support and ecommerce. We are automating the heavy burden that large Shopify merchants face in their day-to-day activities. This market is vast and homogeneous, and every single merchant needs Yuma. We have a head start in this space, but we will not rest until we are the clear winner in the e-commerce customer support AI market.
Yuma was launched in early 2023 by a third-time YC founder and is already serving hundreds of paying customers.
Job Overview
As the Product Designer of Yuma.ai, you will collaborate closely with product, engineers and clients to design user-centered solutions that help our customers make the most of our AI-powered tools. Your focus will be on creating intuitive, accessible, and aesthetically pleasing user interfaces that bridge the gap between cutting-edge technology and a seamless user experience.
You will be designing products that cater to both business clients and end users.
Key Responsibilities:.
Qualifications:
Why Yuma.ai?
How to Apply:
Please submit your resume, a portfolio showcasing your recent work, and a cover letter explaining why you're passionate about product design and how you can contribute to Yuma.ai’s success.
Our culture:
Please, if you are considering applying, first read our culture page: https://www.notion.so/yuma-ai/Yuma-s-Culture-5b0e15f1334242ce8a62daab9f2038a1?pvs=4
We have a Ruby on Rails API backend, which is coupled with Postgres, Redis, and Sidekiq. The frontend is built using React and NextJS. Our approach to LLMs is custom-made and tightly integrated with our backend. We have full introspection and logging for every API call we make.
Our approach is heavily product-first, but since we are addressing a problem with new technology, some of our work may be more research-oriented. We don't have all the answers yet on how to solve this problem, and we need to experiment and try out different approaches in a fast, iterative manner.
With already a hundred paying customers, we are already facing some interesting scaling challenges as well.
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