
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.
đ July 29
Where this job comes from
Posted on Constructor's careers page, not through a job board
First seen by Remote Rocketship July 29
Still open on Constructor's site. Checked 5 hours ago.
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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 Define the multi-quarter vision and strategy across Machine Learning & Recall and Query teams âą Lead the Query team to push boundaries in tokenization, spell correction, entity extraction, and intent classification âą Lead the Machine Learning & Recall team in evolving candidate generation architecture âą Own measurable lift in search-attributed conversion, revenue per visit, and GMV âą Work with ML researchers, data scientists, and software engineers to take SOTA models into production âą Establish robust offline and online measurement systems to evaluate retrieval precision âą Ensure candidate product sets and query context flow cleanly into downstream ranking models âą Lead technical triage for query interpretation or retrieval anomalies
âą Highly technical, systems-minded âą Experience leading teams in search intelligence, machine learning, or related fields âą Understanding of query understanding and candidate retrieval âą Knowledge of vector search, semantic parsing, dense embeddings, and LLM-assisted query interpretation âą Ability to balance state-of-the-art techniques with low-latency production execution âą Proven track record in driving business outcomes like conversion rate, search-attributed revenue âą Experience collaborating with ML researchers, data scientists, and software engineers âą Demonstrated ability to make data-backed decisions
âą Unlimited vacation time - we strongly encourage all of our employees to take at least 3 weeks per year. âą A competitive compensation package including stock options. âą Company-sponsored US health coverage (100% paid for employee). âą Fully remote team - choose where you live. âą Work-from-home stipend! We want you to have the resources you need to set up your home office. âą Apple laptops provided for new employees. âą Training and development budget for every employee, refreshed each year. âą Parental leave for qualified employees. âą Work with smart people who will help you grow and make a meaningful impact.
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