
201 - 500 employees
Founded 2015
âïž SaaS
đ€ Artificial Intelligence
đïž eCommerce
đ° $25M Series B - Constructor on 2024-06
SaaS âą Artificial Intelligence âą eCommerce
Constructor is an AI-native, API-first platform that provides product search and discovery solutions optimized for e-commerce. The company offers a commerce reasoning engine and a suite of features â search, autosuggest, personalized recommendations, AI shopping agents, attribute enrichment, retail media, and cross-channel discovery â to help retailers and enterprises deliver personalized discovery experiences across onsite and offsite touchpoints. Constructor positions itself as a specialist in product discovery for both B2C and B2B retail, integrating with existing tech stacks and emphasizing transparent, explainable AI for merchandising and conversion optimization.
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201 - 500 employees
Founded 2015
âïž SaaS
đ€ Artificial Intelligence
đïž eCommerce
đ° $25M Series B - Constructor on 2024-06
SaaS âą Artificial Intelligence âą eCommerce
Constructor is an AI-native, API-first platform that provides product search and discovery solutions optimized for e-commerce. The company offers a commerce reasoning engine and a suite of features â search, autosuggest, personalized recommendations, AI shopping agents, attribute enrichment, retail media, and cross-channel discovery â to help retailers and enterprises deliver personalized discovery experiences across onsite and offsite touchpoints. Constructor positions itself as a specialist in product discovery for both B2C and B2B retail, integrating with existing tech stacks and emphasizing transparent, explainable AI for merchandising and conversion optimization.
âą Design, run, and analyze A/B tests measuring impact on key business metrics like revenue, conversion rate, and profit âą Apply statistical methods and machine learning to solve business and product problems âą Develop a deep understanding of how our search, ranking, and personalization algorithms work, and how to evaluate and improve them âą Analyze large-scale behavioral data to generate insights and recommendations for customers and internal teams âą Build analyses, models, and tools that help teams make better decisions âą Communicate findings clearly to technical and business stakeholders
âą Strong experience solving business problems using data science and statistics âą Solid knowledge of SQL and experience working with large datasets âą Strong Python skills for analysis and modeling (pandas, NumPy, scikit-learn, visualization libraries) âą Deep understanding of A/B testing, experiment design, and statistical inference âą Ability to communicate insights clearly to both technical and business audiences âą Comfortable working independently with multiple stakeholders in a fast-paced environment âą Experience working in e-commerce or with large-scale user behavioral data âą Experience in customer-facing analytical work.
âą đ§ Work with smart and empathetic people who will help you grow and make a meaningful impact. âą đ Regular team offsite events to connect and collaborate. âą đ Fully remote team - choose where you live. âą đïž Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year. âą đïž Work from home stipend! We want you to have the resources you need to set up your home office. âą đ» Apple laptops provided for new employees. âą đ§âđ Training and development budget for every employee, refreshed each year. âą đȘ Maternity & Paternity leave for qualified employees.
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