Back End Engineer: Experiments

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.

The Experiments team at Constructor builds a platform for running A/B experiments and making data-driven decisions about product changes. We also help other teams evaluate hypotheses and improve the quality of search, recommendations, and other services for our customers. Our team currently consists of 4 Software Engineers, 1 Data Analyst, Engineering Manager and Product Manager. 

For this role, responsibilities are:

• Owning the whole experimentation process from traffic splitting to revealing experiment results to our customers and internal users. 
• Developing the experiments platform for ML/DS teams, implementing user-facing features for running and analyzing the results of experiments.
• Improving the performance and scalability of our services.
• Improving the trustworthiness, necessary time, and number of experiments by integrating state-of-the-art approaches for AB tests.

• You have hands-on experience building and owning services for production with Python.
• You have experience with monitoring and quality assurance for services that directly affect the customer experience.
• You are ready to dive into the experimental/data analytics domain.
• You're curious about how people use the product you build, not just how it looks from the technical perspective.
• It will be a great match if you have experience building analytical services or experiment platforms.
• It will be a great match if you have experience with PySpark or ETL pipelines. This is not a Data Engineer position, but you might expect to spend 5-10% of your time improving our PySpark pipelines for calculating experiment results.

• Backend and user-facing services: Python, FastAPI/Flask, Plotly Dash, PostgreSQL, AWS S3, AWS Lambda
• Data pipelines: PySpark, Databricks, SQL, Airflow/Luigi
• DevOps: AWS (Cloudformation, RDS), GitHub Actions, Jenkins
• Monitoring: AWS Cloudwatch, Sentry, Opensearch, Amplitude

• 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–$120k 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

At we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group.

Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don't meet all of our listed qualifications.