BackEnd Engineer: Experiments
About The Position
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 Team The Experiments team at Constructor builds an experimentation platform: traffic allocation, exposure logging, metric computation, statistical analysis, and a UI for launching experiments and interpreting results. It’s used both internally and by customers running experiments on production traffic. We’re scaling customer experimentation usage and investing in making experiments faster, more reliable, and easier to interpret. Unlike boxed experimentation tools, our platform has to support a wide range of customer integrations, traffic patterns, and industry constraints — which makes the engineering problems unusually real-world and high-leverage. Team: 3 Software Engineers, 1 Data Analyst, an Engineering Manager, and a Product Manager.
Requirements
- Strong experience building and owning production backend services in Python
- Experience with monitoring, alerting, and debugging user-facing systems
- Strong SQL skills and confidence working with data-heavy systems (metrics, logging, analytics)
- Ability to ship maintainable software (tests, code review, incremental delivery)
- You take ownership: you can turn ambiguous problems into an executable technical plan
- You care about building systems people trust and rely on
Nice To Haves
- Experience with experimentation systems, metrics platforms, or A/B testing workflows
- Experience with PySpark and/or Databricks
Responsibilities
- Build and maintain backend services for experiment assignment, logging, and report generation
- Improve scalability, performance, and reliability of experiment reporting pipelines
- Add product-facing features to the UI to help users launch experiments and interpret results
- Take technical ownership of projects: shape solutions, break down work, and drive execution with the team
- Participate in a weekly on-call rotation (investigating occasional issues and answering internal questions)
- Collaborate closely with Search/Recommendations engineers, ML/DS partners, and customer-facing teams when needed.
Benefits
- Unlimited vacation time - we strongly encourage all employees to take at least 3 weeks per year
- Fully remote team - choose where you live
- 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 - refreshed each year for every employee
- Maternity & Paternity leave for qualified employees
- Work with smart people who will help you grow and make a meaningful impact
- Base salary: $80k–$110k USD, depending on knowledge, skills, experience, and interview results
- Stock options - offered in addition to the base salary
- Regular team offsites to connect and collaborate
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
