Constructor.iо powers product search and discovery for the largest retailers in the world, serving billions of requests every year: you have most likely used our product without knowing it. Each year, we are growing in revenue and scale by several multiples, helping customers in every eCommerce vertical around the world.
We love working together to help each other succeed and are committed to maintaining an open, cooperative culture as we grow. We get the right answer with empathy, ownership, and passion for making an impact.
The Recommendations team, within the Engineering Department, plays an important role in implementing algorithms that optimize for business KPIs like revenue & conversions for our Recommendations product. We focus on metrics over features, arming our recommendation algorithms with powerful capabilities that bring value to customers in the way they care the most about it.
The team consists of a mix of designers, full-stack, and machine learning engineers who own and collaborate on multiple projects. As a member of the Recommendations team, you will participate in defining our product strategy & prioritization, as well as use world-class analytical, engineering & machine learning techniques to evolve and scale our recommendation algorithms.
Also, nice to have
Constructor.iо делает платформу product discovery (поиск, рекомендации и многое другое) as a service для e-commerce. Среди клиентов Sephora, Petco, home24, Birkenstock. Недавно подняли очередной раунд.
