constructor - Staff Product Manager: Product Discovery Engine
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 ML Ops. • Comfort operating with ambiguity, setting direction where none exists yet, and leading through clarity and credibility rather than the org chart.
Responsibilities
• 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, accounting for the differences in catalog, language, and shopper intent. • Keep us at the state of the art. 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. • Set chapter vision and strategy. 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. • Lead Search Quality first. Own its strategy and roadmap, driving measurable improvements in the 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, so improvements compound instead of colliding. • Turn ML research into production wins. 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. • Make quality measurable and explainable. Build the metrics, evaluation frameworks, and tooling the whole chapter uses to measure, attribute, and explain discovery quality and its business impact. • Own quality under pressure. Lead investigation and triage when issues arise, and design durable, systemic fixes rather than one-off patches. • Grow the mandate. Expand into chapter-wide leadership spanning ML Recall, ML Infra, and — over time — teams like CORE, SABR, and Catalog Management. • WHAT SUCCESS LOOKS LIKE • Driven measurable lift in search-attributed conversion and revenue per visit — moving business metrics, not just quality metrics. • Driven measurable business-metric lift (conversion, revenue per visit, GMV) and relevance lift across every major retail vertical we serve. • Shipped at least one state-of-the-art ML / LLM-assisted capability into production that beats our previous best on relevance. • Won head-to-head quality benchmarks against every major competitor in the verticals we compete in, with a repeatable, defensible methodology. • Taken core quality metrics to best-in-class levels and kept them improving quarter over quarter. • Stood up an evaluation framework and tooling that ties model and system investments directly to customer business outcomes.
Benefits
• Unlimited vacation time — we strongly encourage all of our employees 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! We want you to have the resources you need to set up your 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 http://Constructor.io is a remote-first company. • DIVERSITY, EQUITY, AND INCLUSION AT CONSTRUCTOR
Apply in one click
Upload My Resume
Drop here or click to browse · Tap to choose · PDF, DOCX, DOC, RTF, TXT