Product Manager

Constructor powers product search and discovery for some of the largest retailers in the world. We serve billions of requests every week. 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 looking for a systems-minded Staff Product Manager to take Constructor's search and discovery to the state of the art — and keep it there — across every retail industry we serve. This is a highly technical, high-leverage role at the core of our Product Discovery Engine chapter: the teams responsible for how we retrieve, understand, and rank the right products for every shopper, on every query, for every customer.

Your job is to raise discovery quality and, through it, our customers' business metrics. You won't be measured on features shipped — you'll be measured on relevance and business outcomes, like conversion, revenue per visit, and search-attributed GMV, moving up.

You'll start embedded with our Search Quality team, owning its strategy and roadmap. Over time, your mandate grows to setting direction for the entire Product Discovery Engine chapter — deciding where we're heading and why across recall, ranking, query understanding, personalization, and the ML infrastructure underneath. This is a Staff role today with a clear path to Director.

• Own business impact, not features: drive measurable lift in search-attributed conversion, revenue per visit, and GMV alongside relevance across our customer base.
• Deliver across every retail industry: move quality and business metrics across all the verticals we serve.
• Keep us at the state of the art: translate the latest ML / IR research and competitive moves into production wins, and ship SOTA ML / LLM-assisted capabilities.
• Set chapter vision and strategy: define the multi-quarter direction for the Product Discovery Engine.
• Lead Search Quality first: own its strategy and roadmap, driving measurable improvements in relevance and correctness of results.
• Orchestrate across the pipeline: unify recall, ranking, query understanding, and personalization behind one definition of quality and one set of business metrics.
• Turn ML research into production wins: partner deeply with ML and data science to take models from idea to production, balancing accuracy, latency, and cost.
• Make quality measurable and explainable: build the metrics, evaluation frameworks, and tooling the whole chapter uses.
• Own quality under pressure: lead investigation and triage when issues arise, and design durable, systemic fixes.
• Grow the mandate: expand into chapter-wide leadership spanning ML Recall, ML Infra, and teams like CORE, SABR, and Catalog Management.

• Extensive product management experience (typically 8+ years) in search, discovery, ML, or NLP-heavy products, including time operating at a senior or staff level.
• A track record of moving business metrics at scale — conversion, revenue, engagement — not just shipping features.