Constructor
Constructor builds an AI-powered search and product discovery platform for ecommerce retailers, marketplaces, and distributors, delivered as enterprise SaaS. Its tools power on-site search, browse, recommendations, and shopping agents to optimize conversions and merchandising outcomes. Founded in 2019 by Eli Finkelshteyn and Dan McCormick, the San Francisco–based, privately held company counts brands such as Sephora, Under Armour, and Petco as customers and raised a Series B in 2024.
Open Positions at Constructor
9 open positions
Provide technical onboarding, integration guidance, troubleshooting, and catalog configuration support to e-commerce customers using Constructor’s search and discovery platform. This fully remote role combines customer communication with hands-on API, web integration, and debugging work.
Staff Backend Engineer owning high-traffic search and product-discovery services, public APIs, and distributed-system reliability. The role combines technical leadership, architecture, performance optimization, mentoring, and production ownership in a fully remote team.
Build full-stack prospect experiences that demonstrate Constructor’s ecommerce search and discovery platform to prospective customers. You’ll develop integrations, dashboards, UI features, and demo infrastructure while partnering closely with engineering, product, data, and sales teams.
Join Constructor’s Platform Enablement team to build self-service infrastructure, observability, CI/CD workflows, and internal developer tooling that help engineers deploy and manage services more efficiently. This fully remote role focuses on reducing developer friction across Kubernetes, AWS, and AI-driven initiatives.
Join Constructor’s ML Infrastructure team as a Senior Backend Engineer building scalable services, platforms, and data pipelines that power machine learning and model serving. You’ll help ML and product teams run workloads reliably with less friction in a fully remote environment.
Senior Backend Engineer building and owning production Python services for large-scale ecommerce search optimization. The role focuses on data-heavy systems, user-facing reliability, SEO integrations, and remote collaboration.
Build backend services and data-heavy systems for Constructor’s experimentation platform, powering experiment assignment, reporting, and analytics at massive ecommerce scale. You’ll primarily work in Python while occasionally contributing to the Dash UI and Spark jobs.
Join Constructor’s ML Recall team to build high-scale retrieval and visual search systems that help shoppers find relevant products in milliseconds. You’ll train and ship deep learning models across multiple languages and e-commerce domains.
Improve search relevance for global ecommerce platforms by building machine learning systems that evaluate, rerank, and monitor search quality at scale. This role combines fine-tuned LLMs, real-time models, and deep analysis of query data across 40+ languages and 20+ domains.