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 Role

We are hiring Data Analysts to work across multiple teams at Constructor, including Data Science Integrations, Ranking, Recommendations, and Personalization.

In this role, you will work at the intersection of data, product, and machine learning. You will analyze user behavior, design and evaluate experiments, define metrics, and generate insights that directly influence product decisions and business outcomes.

You will collaborate closely with engineers, data scientists, product managers, and business stakeholders, helping translate data into actionable improvements across our platform.

What you will do

• Analyze user behavior and large-scale datasets to identify patterns, issues, and opportunities for improvement
• Design, run, and analyze A/B tests to evaluate product changes and measure impact on key business metrics
• Define and validate metrics that reflect both user experience and business outcomes
• Build dashboards, reports, and data tools to support decision-making across teams
• Partner with customers, engineering, product, and business teams to translate insights into product improvements
• Work with SQL, Python, and distributed data systems to process and analyze large volumes of data

We are looking for strong analytical thinkers who are comfortable working with data to drive product and business decisions.

Core skills:

• Strong analytical skills and experience solving business problems using data
• Solid knowledge of SQL and experience working with large datasets
• Experience with Python for data analysis (pandas, NumPy, visualization libraries)
• Understanding of A/B testing and statistical concepts

Product & data understanding:

• Understanding of machine learning pipelines, training data quality, and model evaluation
• Familiarity with ranking, recommendations, or search relevance is a plus
• Experience defining metrics, building metric trees, and analyzing product funnels

Communication & ownership:

• Ability to communicate insights clearly and translate business needs into analytical solutions
• Comfortable working with multiple stakeholders in a fast-paced environment

Preferred Skills:

• Experience in a customer-facing role
• Experience working in e-commerce or product analytics

Perks:

• Work with smart and empathetic people who will help you grow and make a meaningful impact.
• Regular team offsite events to connect and collaborate.
• Fully remote team - choose where you live.
• Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year.
• 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.
• Maternity & Paternity leave for qualified employees.
• Base salary: $80k–$120K USD, depending on knowledge, skills, experience, and interview results
• Stock options - offered in addition to the base salary