AI-powered ecommerce search and discovery platform optimized for revenue
Constructor builds search and product discovery exclusively for ecommerce, with a machine-learning-first architecture built on Python, PyTorch, Spark, and Databricks rather than retrofitted onto legacy keyword engines. The tech stack and active projects reveal a company scaling toward real-time personalization and AI agents — moving beyond search into retail media and offsite discovery — while grappling with integration complexity and high-traffic performance. Engineering-heavy hiring (21 open roles) paired with active work on LLM relevance evaluation and intelligent shopping agents signals a shift toward generative AI as a core product differentiator.
Notable leadership hires: Product Marketing Director, Account Director
Constructor is an ecommerce search and discovery platform serving enterprise retailers, brands, and marketplaces. The product spans search, recommendations, AI shopping agents, guided selling, and retail media, all optimized for conversion rate and revenue rather than generic relevance metrics. The company operates across 10+ hiring countries and maintains a mid-to-senior engineering organization, reflecting both rapid scaling and technical depth. Recent project activity shows momentum in real-time personalization, offsite discovery experiences, and retail media capabilities.
Python, PyTorch, Apache Spark, Databricks, React, AWS, PostgreSQL, FastAPI, Presto, and data pipeline tools including Apache Airflow. Observability and reliability handled by Prometheus, Grafana, PagerDuty, Sentry.
Yes. 21 of 50 active roles are engineering positions, with mix of mid-level (majority), senior, and manager-level openings. Hiring across United States, Indonesia, Portugal, Serbia, and other countries.
Active projects include intelligent agent shopping experiences, retail media platform, real-time personalized offsite discovery, LLM relevance evaluation, recommendations-as-a-service, and dashboard tools for merchandisers and SEO/geo analysts.
Constructor's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.