Constructor.io

Product manager

In short

A Staff Product Manager role at Constructor.io, a company powering search and discovery for major retailers worldwide, owning the strategy and roadmap for their Product Discovery Engine. The role requires unifying recall, ranking, query understanding, and personalization into shared quality and business metrics, and partnering closely with ML and data science teams. It demands 8+ years of product management experience in search, discovery, ML, or NLP-heavy products with senior/staff-level ownership, plus deep technical fluency in search pipelines and ML tradeoffs. The position is fully remote.

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'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.
Responsibilities
•Drive measurable lift in search-attributed conversion, revenue per visit, and GMV alongside relevance across our customer base.
•Move quality and business metrics across all the verticals we serve, accounting for the differences in catalog, language, and shopper intent.
•Continuously translate the latest ML / IR research and competitive moves into production wins, and ship SOTA ML / LLM-assisted capabilities that beat our previous best on relevance.
•Define the multi-quarter direction for the Product Discovery Engine — where we're heading and why — tie it directly to customer business outcomes, and rally teams behind it.
•Own its strategy and roadmap, driving measurable improvements in the relevance and correctness of results.
•Unify recall, ranking, query understanding, and personalization behind one definition of quality and one set of business metrics, so improvements compound instead of colliding.
•Partner deeply with ML and data science to take models — from candidate generation and recall to LLM-assisted interpretation — from idea to production, balancing accuracy, latency, and cost.
•Build the metrics, evaluation frameworks, and tooling the whole chapter uses to measure, attribute, and explain discovery quality and its business impact.
•Lead investigation and triage when issues arise, and design durable, systemic fixes rather than one-off patches.
•Expand into chapter-wide leadership spanning ML Recall, ML Infra, and — over time — teams like CORE, SABR, and Catalog Management.
Requirements
•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, and of setting strategy across multiple teams.
•Deep understanding of the end-to-end search pipeline: query interpretation → recall / candidate generation → ranking → reranking → personalization → delivery.
•Strong ML product depth — owning production models and reasoning about tradeoffs between high-capacity (LLM / batch) and low-latency (real-time) approaches — and a habit of staying current with state-of-the-art research.
•Fluency with retrieval and recall, query understanding (tokenization, synonyms, spelling correction, multilingual support), and search evaluation frameworks.
•A rigorous, measurement-first mindset that ties every quality investment back to business outcomes.
•Excellent cross-functional leadership — able to align teams with different goals behind a shared definition of quality and a shared set of business metrics, working shoulder-to-shoulder with engineering, data science, and MLOps.
•Comfort operating with ambiguity, setting direction where none exists yet, and leading through clarity and credibility rather than the org chart.
Conditions
•Unlimited vacation time — employees are strongly encouraged to 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 to set up a 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.
•This position is fully remote — Constructor.io is a remote-first company.

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