Predictive analytics platform for DTC eCommerce profitability
Proxima targets eCommerce brands with a predictive intelligence stack built on Python, dbt, and Apache Airflow, connected to Shopify, Meta Ads Manager, and Klaviyo. The company is actively hiring across engineering and sales (3 of 5 open roles) while tackling internal pain points around customer acquisition unit economics and marketing operations—the exact problems their product solves, suggesting product-market clarity and a sales-led scaling model.
Proxima builds predictive data intelligence tools for direct-to-consumer and eCommerce brands seeking to scale paid marketing profitably. The platform combines machine learning with data pipelines (Python, dbt, Airflow) to lower customer acquisition costs and increase lifetime value by optimizing ad spend across Meta, TikTok, and other channels. The company operates in New York with an 11–50-person team, serving mid-market DTC brands looking to reduce marketing waste while growing incrementally. Current product work spans TikTok Shop integrations, AI-driven optimization layers, and outbound sales playbook automation.
Backend: Python, SQL, Apache Airflow, dbt for data pipelines. Frontend: TypeScript, React, CSS. Integrations: Shopify, Meta Ads Manager, Klaviyo, Google Analytics, LinkedIn Sales Navigator. Development tools: GitHub Copilot, Cursor, Claude.
Active projects include outbound workflow optimization, AI agent layer development, TikTok Shop & creator operations, and top-of-funnel pipeline development for their sales motion.
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