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Senior Product Manager, Recall

🕒 July 29

đŸ‡ȘđŸ‡ș Europe – Remote

⏰ Full Time

🟠 Senior

✅ Product Manager

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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Logo of Constructor

Constructor

201 - 500 employees

Founded 2015

☁ SaaS

đŸ€– Artificial Intelligence

đŸ›ïž eCommerce

💰 $25M Series B - Constructor on 2024-06

SaaS ‱ Artificial Intelligence ‱ 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 — search, autosuggest, personalized recommendations, AI shopping agents, attribute enrichment, retail media, and cross-channel discovery — 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.

📋 Description

‱ Define the multi-quarter vision and strategy across Machine Learning & Recall and Query teams ‱ Lead the Query team to push boundaries in tokenization, spell correction, entity extraction, and intent classification ‱ Lead the Machine Learning & Recall team in evolving candidate generation architecture ‱ Own measurable lift in search-attributed conversion, revenue per visit, and GMV ‱ Work with ML researchers, data scientists, and software engineers to take SOTA models into production ‱ Establish robust offline and online measurement systems to evaluate retrieval precision ‱ Ensure candidate product sets and query context flow cleanly into downstream ranking models ‱ Lead technical triage for query interpretation or retrieval anomalies

🎯 Requirements

‱ Highly technical, systems-minded ‱ Experience leading teams in search intelligence, machine learning, or related fields ‱ Understanding of query understanding and candidate retrieval ‱ Knowledge of vector search, semantic parsing, dense embeddings, and LLM-assisted query interpretation ‱ Ability to balance state-of-the-art techniques with low-latency production execution ‱ Proven track record in driving business outcomes like conversion rate, search-attributed revenue ‱ Experience collaborating with ML researchers, data scientists, and software engineers ‱ Demonstrated ability to make data-backed decisions

đŸ–ïž Benefits

‱ Unlimited vacation time - we strongly encourage all of our employees to take at least 3 weeks per year. ‱ A competitive compensation package including stock options. ‱ Company-sponsored US health coverage (100% paid for employee). ‱ Fully remote team - choose where you live. ‱ Work-from-home stipend! We want you to have the resources you need to set up your home office. ‱ Apple laptops provided for new employees. ‱ Training and development budget for every employee, refreshed each year. ‱ Parental leave for qualified employees. ‱ Work with smart people who will help you grow and make a meaningful impact.

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