Data Engineer - Merchant Intelligence

5 days ago

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Constructor

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Constructor is a company specializing in AI-powered search and product discovery platforms specifically designed for enterprise ecommerce brands. Their solutions include search and autosuggest, browse recommendations, category collections, quizzes, merchant controls, and AI shopping assistants. With a focus on personalization and improving key performance indicators (KPIs) like revenue and conversion rates, Constructor utilizes advanced AI/ML technologies to enhance user experiences and optimize ecommerce processes. Their proprietary Native Commerce Core™ technology allows for contextual and personalized product discovery, driving measurable business metrics and offering enterprise customers a fast return on investment (ROI).

Search • E-commerce • Product Discovery • Personalization • SaaS

51 - 200 employees

Founded 2015

🤖 Artificial Intelligence

🛍️ eCommerce

🏢 Enterprise

💰 $55M Series A on 2021-09

📋 Description

• 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. • We specialize in developing a cutting-edge search and discovery platform, encompassing search, autocomplete, browse, and recommendations, tailored specifically for online retailers, suppliers, and shops. • Our goal is to provide all online stores with the ability to have state-of-the-art product discovery powered by AI that optimizes for the key e-commerce metrics, which differentiates us from our competitors. • Boasting a robust infrastructure, we handle billions of requests daily and manage a vast data ecosystem, including ~400 GB of data intake daily and approximately 2PB stored in our data lake. • An important part of our product is the customer dashboard that helps merchandizers to analyze shopping behavior and manually adjust algorithmic results. • The goal of the Merchant Intelligence team is to: • Help merchandizers achieve their e-commerce goals, increasing satisfaction with their sites and retention of customers. • Provide insights to merchants they can't get anywhere else. • Become a critical point of merchant planning, decision making, and analysis so we become a sticky part of their organization. • Enhance the dashboard experience for merchandizers by building analytics that provide actionable insights to improve e-commerce KPIs. • Perform data exploration and research user behavior. • Implement end-to-end data pipelines to support real-time analytics for essential business metrics. • Take part in product research and development, iterate with prototypes and customer product interviews.

🎯 Requirements

• You are proficient in BI tools (both data analysis and building dashboards for engineers and non-technical folks). • You are keen to not just prepare more data, but to think critically about how that data can deliver valuable insights and drive impactful decisions for non-technical end users. • You are an excellent communicator with the ability to translate business requests into technical language and vice versa. • You are excited to leverage massive amounts of data to drive product innovation and deliver business value. • You are proficient at SQL (any variant) and well-versed in exploratory data analysis with Python (pandas & numpy, data visualization libraries) • Practical familiarity with the big data stack (Spark, Hive, Databricks). • You are adept at fast prototyping and providing analytical support for initiatives in the e-commerce space by identifying and focusing on relevant features and metrics. • You are willing to develop and maintain effective communication tools to report business performance and inform decision-making at a cross-functional level. • You get excited to hear feedback from customers and figure out potential solutions. • You're familiar with math statistics. • Stack: python, SQL, pyspark, clickhouse, cubejs, docker, git

🏖️ Benefits

• Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year • A competitive compensation package including stock options • Company sponsored US health coverage (100% paid for employee) • 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 for every employee, refreshed each year • Parental leave for qualified employees • Work with smart people who will help you grow and make a meaningful impact