AI powered product description enhancement for the auto parts industry
Versable is an AI data enhancement platform for legacy markets. Today, we’re helping auto parts manufacturers and retailers automatically create market ready listings at scale. We aim to be the go to data management platform across all adjacent industries, including construction, manufacturing, industrials, aero space, etc.. We’ve been featured in articles like USA Today, LA Weekly, and have a network of strong investors, including Bling Capital, Canaan Partners, Soma Capital, etc..
We’re looking for a product driven engineer with a strong sense of ownership. As with any early stage startup, our value proposition is being scrappy and moving fast, with an emphasis on great cross functional communication. Our interview process is designed to find these types of engineers. You will be heavily involved with the build of product and engineering, and this is a great opportunity to hop on at the ground floor and see how a YC startup moves from day 1.
We are based in LA, and have a preference for LA based engineers, but are open to remote developers. Our ideal candidate has 5+ years of experience, with 2+ years at a startup, and experience dealing with large datasets and AI models.
Auto parts retailers get product data from hundreds of manufacturers that is inaccurate and inconsistent, often with big gaps in key values. They currently have a team of "catalog managers" who are required to process and enhance this data line by line, resulting in a week to months long lag between receiving product data and actually being able to start generating revenue from those products.
Versable leverages AI to scan the web for tens of millions of auto parts listings, and uses a fine-tuned LLM with RAG to instantly process, enhance, and transform data. With just a part number, Versable is able to generate market-ready titles, product descriptions, and specs, in any format that's needed.