Constructor is the next-generation platform for search and discovery in e-commerce, built on a unique GPT-based architecture made specifically for commerce. Constructor's AI-first solutions make it easier for shoppers to discover products they want to buy and for e-commerce teams to deliver highly personalized experiences, from search, to recommendations, to AI Shopping Agents and everything in between. Optimizing specifically for e-commerce metrics like revenue, conversion rate and profit, Constructor generates consistent $10M+ lifts for some of the biggest brands in e-commerce, such as Sephora, Petco, Under Armour, home24, Birkenstock and The Very Group. Constructor is a U.S. based company that has been in market since 2019. It was founded by Eli Finkelshteyn and Dan McCormick who still lead the company today. We’re a passionate team of technologists 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 think is best can lead to great things.
The Personalization team, within the Machine Learning Chapter and Engineering Department, plays a central role in implementing algorithms that utilize personalization signals to optimize for business KPIs like revenue & conversions. We focus on metrics over features, arming our ranking and recommendation algorithms with powerful personalization capabilities that bring value to customers in the way they care the most about.
The team consists of a mix of ML & product engineers owning & collaborating on multiple projects. As a member of the Personalization team, you will use world-class analytical, engineering and machine learning techniques on big data to shape and scale our personalization algorithms.
At Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group. Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don’t meet all of our listed qualifications.
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The only site search and product discovery built for ecommerce KPIs. Delivering superior experiences with AI, NLP, data and personalization.
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