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.
About Yuma:
Yuma is developing the most advanced AI agent orchestration platform, dedicated to customer success and e-commerce. We are automating the heavy burden that large 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 success 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 a Product Designer at 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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