About Us
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 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 relevanceand 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 and getting deep into the systems that decide what shoppers actually see. 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 as you take on chapter-wide leadership.
Search at Constructor is fundamentally a machine learning problem, so this role lives and breathes ML. You’ll partner closely with ML, data science,and engineering to turn the latest research into production wins, keep us ahead of both commercial competitorsand academic state of the art,and be the connective tissue that aligns multiple teams — ML Recall, ML Infra,and, over time, teams like CORE, SABR,and Catalog Management — behind a single, coherent vision for great discovery.
If you’re excited about driving innovation across dozens of the world’s largest retailers, being held to relevanceand business outcomes,and pushing an already best-in-class product further ahead, this role is for you.
What You’ll Do
- 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 qualityand 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 researchand competitive moves into production wins,and ship SOTA ML / LLM-assisted capabilities that beat our previous best on relevance.
Set chapter visionand strategy. Define the multi-quarter direction for the Product Discovery Engine — where we’re headingand why — tie it directly to customer business outcomes,and rally teams behind it.
Lead Search Quality first. Own its strategyand roadmap, driving measurable improvements in the relevanceand correctness of results.
Orchestrate across the pipeline. Unify recall, ranking, query understanding,and personalization behind one definition of qualityand one set of business metrics, so improvements compound instead of colliding.
Turn ML research into production wins. Partner deeply with MLand data science to take models — from candidate generationand recall to LLM-assisted interpretation — from idea to production, balancing accuracy, latency,and cost.
Make quality measurableand explainable. Build the metrics, evaluation frameworks,and tooling the whole chapter uses to measure, attribute,and explain discovery qualityand its business impact.
Own quality under pressure. Lead investigationand 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
Within your first year, you will have:
- Driven measurable lift in search-attributed conversionand 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 productionthat 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 levelsand kept them improving quarter over quarter.
Stood up an evaluation frameworkand tooling that ties modeland system investments directly to customer business outcomes.
What We’re Looking For
- 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 modelsand 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 qualityand 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 clarityand credibility rather than the org chart.
Benefits
Unlimited vacation time — we strongly encourage all of our employees to take at least3 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 is a remote-first company.
