Software Engineer for AB Testing Platform (Remote)

Constructor is the only search and product discovery platform tailor-made for enterprise ecommerce where conversions matter. Constructor's AI-first solutions make it easier for shoppers to discover products they want to buy and for ecommerce teams to deliver highly personalized experiences that drive impressive results. Optimizing specifically for ecommerce metrics like revenue, conversion rate and profit, Constructor generates consistent $10M+ lifts for some of the biggest brands in ecommerce, such as Sephora, Petco, home24, Maxeda Brands, Birkenstock and The Very Group. Constructor is a U.S. based company that was founded in 2015 by Eli Finkelshteyn and Dan McCormick. For more, visit: constructor.io.

The Experiments team builds tools to evaluate product hypotheses. We help other teams test their ideas to raise KPIs such as revenue and conversions. 

Our team members solve a wide range of tasks, including:

• owning whole experimentation pipeline from traffic splitting to revealing experiment results
• developing the core internal experiments platform for ML teams to improve the quality of the product
• developing customer-facing headless experiments platform, allowing customers to launch their own experiments
• creating dashboards for key metrics
• improving the trustworthiness, necessary time, and number of experiments

As a member of the Experiments team, you will integrate state-of-the-art solutions for AB tests and develop a scalable and flexible system for the company and customers.

Challenges you will tackle

• Build and support the platform for AB tests and any necessary upstream services. That includes implementing user-facing features for running/analyzing experiments, improving performance and scalability of our services, and dealing with technical debt.
• Collaborate with technical and non-technical teams to develop and integrate solutions to improve platform functionality
• Improve business KPIs by providing a trustworthy solution for product changes

Requirements

• You have hands-on experience building services for production, with a good understanding of the full pipeline of development.
• You understand the necessity of monitoring and quality assurance for services that directly affect the customer's experience.
• You are ready to dive into the technical details of the experimental/data analytics domain  (ideally have experience with or a good understanding of AB testing and statistics or experience building AB experiments platform or other analytics tools)
• You’re curious about how people use the product you build, not just how it looks from the technical perspective
• It would be a great match if you have experience with PySpark and ETL pipelines.

Stack:

• Backend and user-facing services: Python, Plotly Dash, Flask/FastAPI, PostgreSQL, AWS S3
• Data pipelines: PySpark, Databricks, AWS S3, SQL
• Devops: AWS Cloudformation

We do not expect you to be proficient in all of these, but strong Python knowledge and backend development experience are required, as well as some experience with the aforementioned or similar big data processing tools.