Description

About Us

Constructor is the next-generation platform for search and discovery in ecommerce, built to explicitly optimize for metrics like revenue, conversion rate, and profit. Our search engine is entirely invented in-house utilizing transformers and generative LLMs, and we use its core and personalization capabilities to power everything from search itself to recommendations to shopping agents. Engineering is by far our largest department, and we’ve built our proprietary engine to be the best on the market, having never lost an A/B test to a competitive technology. We’re passionate about maintaining this and work on the bleeding edge of AI to do so.

Out of necessity, our engine is built for extreme scale and powers over 1 billion queries every day across 150 languages and roughly 100 countries. It is used by some of the biggest ecommerce companies in the world like Sephora, Under Armour, and Petco.

We’re a passionate team 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 do best can lead to great things.

Constructor is a U.S. based company that has been in the market since 2019. It was founded by Eli Finkelshteyn and Dan McCormick who still lead the company today.

About the Position

As an Integration Engineer on the Customer Data Integrations team, you will improve the ecommerce experience for millions of shoppers by building monitoring tools that ensure reliable, high-quality integrations with Constructor’s platform. You’ll also support successful customer launches through hands-on technical guidance and collaboration. The responsibilities include:

• Acting as a technical partner to customers during onboarding and integration, providing guidance through calls and hands-on collaboration
• Building and maintaining internal tools that improve visibility into customer integrations, including dashboards and systems that surface data quality and integration health
• Evolving our event tracking to ensure the reliable and scalable data collection that powers our AI algorithms
• Improving documentation, training materials, and developer resources for both customers and internal teams
• Supporting customers asynchronously by troubleshooting issues, reviewing implementations, and validating data quality while proactively monitoring integration health
• Collaborating with integration-focused teams to identify recurring integration challenges and develop scalable solutions
• Partnering with Product, Customer Success, and other engineering teams to shape the future of customer integrations

How We Work

• Remote-first - work from anywhere
• Bi-weekly sprints/retros and daily stand-ups - Lightweight processes that favor rapid continuous development
• High trust, low ego culture focused on outcomes over hours
• Continuous learning encouraged through an annual learning stipend and peer mentorship