Senior Product Analyst

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 Senior Product Analysts across multiple teams at Constructor. Wherever you land, you will help product teams understand how their work translates into user behavior and business outcomes, and use data to shape where our products should evolve next.

Our product analysts define the metrics that matter, build the connection between product performance and business results, and turn ambiguous questions into clear, actionable insights. During the interview process we will get to know your strengths and interests and match you with the team where you can have the biggest impact.

What You'll Do

Define and validate the metrics that product teams use to measure success

Build metric frameworks connecting product and algorithm performance to business outcomes like revenue and conversion

Analyze user behavior and product funnels to identify opportunities and guide product strategy

Design, run, and analyze A/B tests to evaluate product changes

Set up analytics for product areas, from instrumentation to dashboards and reporting

Partner closely with product managers, engineers, and leadership to turn insights into decisions

Requirements

Strong track record of solving product and business problems using data

Solid knowledge of SQL and experience working with large datasets

Experience with Python for data analysis (pandas, NumPy, visualization libraries)

Deep understanding of A/B testing and statistical concepts

Product & data understanding:

Experience defining metrics, building metric trees, and analyzing product funnels

Ability to connect product changes to business outcomes and communicate the "so what"

Familiarity with ML-driven or AI products is a plus