Senior Product Manager – Search Quality and Query Interpretation

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🔥 2 minutes ago

🇪🇺 Europe – Remote

⏰ Full Time

🟠 Senior

🌎 Translator / Interpreter

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Logo of Constructor

Constructor

201 - 500 employees

Founded 2015

☁️ SaaS

🤖 Artificial Intelligence

🛍️ 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

• Own the strategy and roadmap for improving how we interpret and respond to user queries. • Drive development of search quality models that optimize recall and precision. • Define and build tools and metrics that help us measure and explain result quality. • Collaborate closely with ML, infrastructure, and product teams across the stack. • Lead investigation and triage when search quality issues arise and design long-term solutions. • Benchmark our quality against competitors and push for continuous improvement.

🎯 Requirements

• Experience as a PM in search, machine learning, or NLP-focused products. • Deep understanding of the search pipeline from tokenization to result ranking. • Expertise with spelling correction, synonyms, LLMs, or search evaluation frameworks. • Familiarity with production ML models (especially tradeoffs between real-time vs batch). • A strong sense for quality and correctness, and how to measure them. • Technical fluency and comfort working with engineering, data science, and ML Ops teams.

🏖️ Benefits

• 🏝️ Unlimited vacation time - we strongly encourage all of our employees 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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