--- title: 'Staff Product Manager: Product Discovery Engine at Constructor' canonical: 'https://feeny.ai/job/staff-product-manager-product-discovery-engine-constructor-remote-gb8a7v1gkqah' type: 'job' last_seen: '2026-09-11' --- # Staff Product Manager: Product Discovery Engine at Constructor - **Company:** Constructor - **Location:** Remote - **Employment:** full-time - **Work type:** remote - **Posted:** 2026-09-09 - **Last confirmed live:** 2026-09-11 - **Apply:** https://jobs.ashbyhq.com/constructor/4233299e-f003-4745-8fc0-6622abff1749 ## Job description Staff Product Manager, Product Discovery Engine ## 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 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 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 competitors and 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 relevance and 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 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 Within your first year, you will have: - 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. ## 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 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. ## 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 At [Constructor.io](http://Constructor.io) we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group. ## About Constructor ## Core Business - **Primary industry**: AI-powered ecommerce search and product discovery (SaaS) - **Target customers**: B2B, enterprise ecommerce brands, retailers, distributors, and marketplaces - **Mission/purpose**: To automate the rich complexity required for a modern search experience behind a simple, elegant SaaS solution, helping shoppers find what they want to buy using natural language and AI. ## Products & Services - **AI Shopping Agent**: Natural language conversational agent that helps shoppers discover products and answer questions. - **Search & Browse**: Personalized search and category browsing with reinforcement learning. - **Recommendations**: Product recommendations for onsite, email, SMS, and mobile notifications. - **Retail Media**: Sponsored products and ads that don’t sacrifice customer experience. - **Merchandiser Controls**: Tools for merchants to manage rankings, promotions, and experiments. - **Insights & Automations**: Dashboards, reports, and automated attribute enrichment using GenAI. - **Answer Engine Assistants (Beta)**: Integration with ChatGPT and other answer engines for offsite discovery. - **Merchant Intelligence Agent (Beta)**: Research and fix ranking issues. - **Product Insights Agent**: Generate personalized product questions to help shoppers buy with confidence. - **Collections**: Dynamic, curated product pages. - **In-Store**: Extend online intelligence to physical stores. ## Market Standing - **Valuation/Market Cap**: Not disclosed (private) - **Key Metric**: $40.0M annual revenue (LinkedIn estimate); $86.1M total funding across 4 rounds - **Notable Investors/Partners**: Not named in provided sources, but clients include Sephora, Under Armour, Petco, and many others. - **Growth Signals**: - 336 employees (LinkedIn) / 375+ team members (company site), +48% YoY headcount growth - 400+ billion requests powered per year - 98.5% average client retention rate over the last three years - Named a Leader in Forrester Wave (Commerce Search & Product Discovery, Q3 2025), Gartner Magic Quadrant (Search & Product Discovery, 2025), and IDC MarketScape - Top rated on G2 Crowd and Gartner Peer Reviews (4.9 and 4.8 respectively) - 94% team member retention rate ## Competitive Advantages - **AI-native from day one**: Built on clickstream data and advanced AI, not bolted onto legacy keyword search. - **Reinforcement learning across touchpoints**: Every interaction (search, browse, agent) makes the system smarter. - **API-first, headless, composable, platform-agnostic**: Easy integration with any tech stack. - **Ecommerce-specific optimization**: Sole focus on commerce metrics (revenue, conversion, profit), consistently delivering $10M+ revenue lifts for customers. - **Only vendor named a Leader by three independent analyst firms (Forrester, Gartner, IDC)**. ## Strategic Focus - **AI agents and reasoning**: Expanding AI Shopping Agents, Answer Engine Assistants, and Merchant Intelligence Agents. - **Offsite discovery**: Enabling discovery via email, SMS, and answer engines like ChatGPT. - **In-store integration**: Extending online intelligence to physical retail. - **Continued investment in personalization and automation** to reduce setup time (8 weeks or less). ## Why Work Here - **Culture**: Remote-first, 100% remote – choose where you live. Collaborative, empathetic, and problem-solving environment. Rated top 5% on RepVue and a Will Reed Top 100 award recipient. - **Benefits**: - Company pays 99% of medical, dental, and vision premiums for US team members. - Unlimited PTO and vacation time (minimum 3 mandatory weeks off per year). - Paid parental leave. - Yearly Remote Work Stipend + one-time $500 New Hire Setup Stipend. - Yearly Learning & Development $500 Stipend. - Stock options for every team member. - Company-issued Apple laptop. - **Growth**: Fast-growing startup with opportunities to work on challenging AI/ML problems used by millions of shoppers. Mentorship, autonomy, and career development. - **Diversity & Inclusion**: Committed to DEI with an internal ERG. - **Team**: 94% retention rate; described as collaborative, brilliant people who enjoy solving hard problems. ## Sources 1. [Constructor Careers Page](https://constructor.com/about/careers) 2. [Constructor Main Website](https://constructor.com/) 3. [Constructor LinkedIn](https://www.linkedin.com/company/constructor-io) 4. [Constructor About Page](https://constructor.com/about) 5. [CB Insights Company Profile](https://www.cbinsights.com/company/constructorio) (used for funding and revenue data, though not directly cited in text – revenue from LinkedIn) ## Other roles at Constructor - [Customer Success Enablement Manager](https://feeny.ai/job/customer-success-enablement-manager-constructor-amer-pvkxtwm1yxws) — AMER - [Senior Customer Success Manager - Nordics](https://feeny.ai/job/senior-customer-success-manager-nordics-constructor-sweden-q7mbnfe85d9b) — Sweden - [Sr. Customer Success Manager (French Speaking)](https://feeny.ai/job/sr-customer-success-manager-french-speaking-constructor-france-n0809w6gb2v2) — France - [FullStack Engineer - Prospect UI Solutions](https://feeny.ai/job/fullstack-engineer-prospect-ui-solutions-constructor-remote-g6jgr2q79412) - [Director of Information Security](https://feeny.ai/job/director-of-information-security-constructor-emea-3qbt89fc9ne7) — EMEA - [Account Manager, DACH](https://feeny.ai/job/account-manager-dach-constructor-emea-wc72h030b83v) — EMEA - [Technical Support Engineer](https://feeny.ai/job/technical-support-engineer-constructor-emea-fxdcvm2eq3fa) — EMEA - [Engineering Manager - Customer Developer Experience](https://feeny.ai/job/engineering-manager-customer-developer-experience-constructor-remote-v1y9wfa27acx) - [Engineering Manager: Agentic Integrations](https://feeny.ai/job/engineering-manager-agentic-integrations-constructor-remote-s5hw0am1dwnx) - [Platform Engineer: Platform Enablement](https://feeny.ai/job/platform-engineer-platform-enablement-constructor-remote-jn4v11cxmpw1)