Staff Product Manager: Product Discovery Engine

About the role

Constructor is seeking a systems-minded Staff Product Manager to lead the Product Discovery Engine, focusing on search and discovery quality for global retail clients. This role involves driving business outcomes like conversion and revenue by leveraging machine learning, search infrastructure, and cross-functional leadership. You will set the strategic direction for the discovery chapter, partnering with ML and engineering teams to turn research into production-ready solutions.

Responsibilities

• Drive measurable lift in search-attributed conversion, revenue per visit, and GMV across the customer base.
• Translate the latest ML and IR research into production wins and ship state-of-the-art ML/LLM-assisted capabilities.
• Define the multi-quarter vision and strategy for the Product Discovery Engine.
• Lead the Search Quality team strategy and roadmap to improve relevance and correctness of results.
• Unify recall, ranking, query understanding, and personalization behind a coherent definition of quality.
• Partner with ML and data science to take 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 for quality issues and design systemic fixes.

Required skills

• Product Management
• Search
• Discovery
• Machine Learning
• NLP
• Query interpretation
• Recall
• Ranking
• Personalization
• Search evaluation frameworks
• Cross-functional leadership

Qualifications

• Extensive product management experience in search, discovery, ML, or NLP-heavy products
• Experience operating at a senior or staff level

Benefits

• Unlimited vacation time
• Stock options
• Company-sponsored US health coverage
• Work-from-home stipend
• Apple laptops
• Training and development budget
• Parental leave

About the Company

Constructor powers product search and discovery for some of the largest retailers in the world, serving billions of requests every week. The company focuses on metrics over features, reinventing search and discovery as a machine learning challenge to improve business outcomes.