Senior Product Manager - Search Quality and Query Interpretation

About the role

Constructor powers product search and discovery for some of the largest retailers in the world. We serve billions of requests every week, and you've probably seen our results somewhere and used our product without knowing it. We differentiate ourselves by focusing on metrics over features, and reinventing search and discovery from the ground up as a machine learning challenge with the specific goal of improving metrics like revenue. We're approximately doubling year over year despite the market slowing down and have customers in every eCommerce vertical. We're a passionate team of technologists who love solving problems and want to make our customers' and coworkers' lives better. We value empathy, openness, curiosity, continuous improvement, and are excited by metrics that matter. We believe that empowering everyone in a company to do what they think is best can lead to great things. Job Summary We're looking for a sharp, systems-minded Senior Product Manager to lead our efforts around Search Quality and Query Interpretation, owning both the intelligence that helps us understand user queries and the models that determine what gets shown in return. This is a highly technical, high-impact role that sits at the heart of our search infrastructure. You'll shape how we interpret queries, which results we retrieve, and how we ensure that every decision we make is measurable, explainable, and grounded in user value. If you're excited about building models, tools, and evaluation frameworks that make search smarter and more trustworthy, and you love debugging tricky problems across complex systems, this role is for you.

Responsibilities

• 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.

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