Post-purchase platform for returns, product protection, and shopper risk
Extend runs a post-purchase operations platform covering returns, exchanges, shipping and product protection for ecommerce merchants on Shopify, BigCommerce and SuiteCommerce. Data is the largest hiring function, and a stack of PyTorch, XGBoost, scikit-learn and TensorFlow on Snowflake and dbt points to ML-driven claim and risk scoring, with Gemini now being adopted. Finance-side projects around invoice reconciliation and automated tie-outs signal back-office scaling pains.
Extend, founded in 2019 and headquartered in San Francisco, builds software that turns post-purchase shopper data into decisions about delivery, returns, exchanges and product protection. Merchants use it to segment customers by value and risk, reward loyal buyers and limit fraud and abuse. The company sells to manufacturers and retailers, integrating with commerce platforms such as Shopify, BigCommerce and SuiteCommerce. It employs 201–500 people, runs on AWS infrastructure, and hires in the United States.
Extend uses Python, TypeScript and JavaScript on AWS (Lambda, DynamoDB, API Gateway), with Terraform and CloudFormation, Snowflake, dbt and Tableau for data, plus PyTorch, XGBoost and TensorFlow for ML.
Yes. Data is Extend's largest hiring area, followed by sales and engineering, with a mostly senior-level mix and roles based in the United States.
Extend is building real-time claim review, a risk score model, contract and invoice reconciliation with automated tie-outs, dbt financial models, and go-to-market plans for new product features.
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Extend's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.