Staff Product Manager – Product Discovery Engine

🕒 September 9

🇺🇸 United States – Remote

⏰ Full Time

🔴 Lead

✅ Product Manager

👻 Ghost score 10%

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Constructor

WebsiteLinkedInAll Job Openings

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 business impact across search-attributed conversion, revenue per visit, GMV, and relevance • Improve discovery quality and business metrics across every retail vertical served • Translate current ML/IR research and competitive developments into production wins • Ship state-of-the-art ML and LLM-assisted capabilities • Set the multi-quarter vision and strategy for the Product Discovery Engine • Own the Search Quality team’s strategy and roadmap • Orchestrate recall, ranking, query understanding, and personalization around shared quality and business metrics • Partner with ML and data science to move models from idea to production while balancing accuracy, latency, and cost • Build metrics, evaluation frameworks, and tooling to measure and explain discovery quality and business impact • Lead investigation and triage of quality issues and design systemic fixes • Expand leadership across ML Recall, ML Infra, CORE, SABR, and Catalog Management

🎯 Requirements

• Extensive product management experience, typically 8+ years, in search, discovery, ML, or NLP-heavy products • Experience operating at a senior or staff level • Track record of moving business metrics at scale, including conversion, revenue, and engagement • Experience setting strategy across multiple teams • Deep understanding of the end-to-end search pipeline: query interpretation, recall/candidate generation, ranking, reranking, personalization, and delivery • Strong ML product depth, including ownership of production models • Ability to reason about tradeoffs between high-capacity LLM/batch and low-latency real-time approaches • Current knowledge of state-of-the-art ML research • Fluency with retrieval and recall • Knowledge of query understanding, including tokenization, synonyms, spelling correction, and multilingual support • Experience with search evaluation frameworks • Rigorous, measurement-first approach tying quality investments to business outcomes • Excellent cross-functional leadership across engineering, data science, and ML Ops • Comfort operating with ambiguity and setting direction where none exists

🏖️ Benefits

• Unlimited vacation time — employees are strongly encouraged to take at least 3 weeks per year • Competitive compensation package including stock options • Company-sponsored US health coverage, 100% paid for the employee • Fully remote work — choose where you live • Work-from-home stipend • Apple laptops provided for new employees • Training and development budget for every employee, refreshed each year • Parental leave for qualified employees • Opportunity to work with smart people who support professional growth and meaningful impact