42

Remote, sf
11 - 25 employees
< 10 engineers
$1m - $2m funding
Pre-series a

Retailers and fashion brands have a wealth of data available, but it's locked away in legacy systems and siloed third parties. For them, figuring out what products are selling in their stores or online, or what’s running out of stock is a daily struggle.

This is what we fix. We’re not just doing reporting - our product is an end-to-end retail analytics stack that supports aggregating all of the data available. International retailers and fashion brands rely on us to make decisions for their business, every day.

Active Roles

Engineering at 42

Tech stack
Python
SQL
AWS
Google Cloud Platform
TypeScript

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