Design and build scalable data pipelines, models, and analytics tools to transform billions of daily events into actionable insights for ecommerce businesses. Collaborate with cross-functional teams to define and validate business metrics, ensuring data quality and performance at enterprise scale. Leverage SQL, Python, and distributed systems to empower data-driven decision-making for global clients.
Key Highlights
Build high-performance data pipelines and models for analytics and reporting at extreme scale (1B+ daily events)
Define and validate business metrics (revenue, conversion, engagement) with stakeholders, not just implement them
Own end-to-end analytics solutions, ensuring data quality, consistency, and usability for global ecommerce clients
Key Responsibilities
Design and build data pipelines and data models to power analytics and reporting for ecommerce platforms
Develop dashboards, reports, and tools to make large-scale behavioral data usable and trustworthy
Ensure data quality, consistency, and performance across systems processing billions of events daily
Partner with analysts, engineers, and product managers to translate business needs into data solutions
Work with SQL, Python, and distributed data systems to handle extreme-scale datasets
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Technical Skills Required
SQL
Python
Distributed Data Systems
Benefits & Perks
Fully remote work with global flexibility
Unlimited vacation time (minimum 3 weeks/year)
Base salary range: $80,000–$120,000 USD
Stock options
Work-from-home stipend
Training and development budget
Maternity & paternity leave
Apple laptops provided
Team offsite events
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Nice to Have
Experience building customer-facing or embedded analytics
Experience working in e-commerce
Product funnel and ecommerce metrics expertise (revenue, conversion, engagement)
Job Description
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.
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