Data Analyst

Constructor is the next-generation platform for search and discovery in e-commerce, built to explicitly optimize for metrics like revenue, conversion rate, and profit. Our search engine is entirely invented in-house utilizing transformers and generative LLMs, and we use its core and personalization capabilities to power everything from search itself to recommendations to shopping agents. Engineering is by far our largest department, and we’ve built our proprietary engine to be the best on the market, having never lost an A/B test to a competitive technology. We’re passionate about maintaining this and work on the bleeding edge of AI to do so.

Out of necessity, our engine is built for extreme scale and powers over 1 billion queries every day across 150 languages and roughly 100 countries. It is used by some of the biggest e-commerce companies in the world like Sephora, Under Armour, and Petco.

We’re a passionate team who love solving problems and want to make our customers’ and coworkers’ lives better. We value empathy, openness, curiosity, continuous improvement, and are excited by metrics that matter. We believe that empowering everyone in a company to do what they do best can lead to great things.

Constructor is a U.S. based company that has been in the market since 2019. It was founded by Eli Finkelshteyn and Dan McCormick who still lead the company today.

Ranking Team

The Ranking Team builds and optimizes machine learning models that determine what products shoppers discover through search and how effectively they find the items they’re looking for in our Customers’ e-commerce platforms. We’re looking for a Data Analyst to evaluate and improve the performance of ranking models, features, and configurations across our large-scale experimentation program—running 10s to 100s of A/B tests monthly and processing terabytes of data. Your work will help shape key metrics, interpret user behavior, and drive product and algorithm improvements.

As the first data analyst on our 6-person ranking team, you’ll collaborate closely with engineers (who develop the platform and improve ML algorithms), data scientists, and product managers to define success, uncover insights, and influence roadmap decisions through data.