Post-purchase logistics platform with carrier management and exception handling
ClickPost operates a data-first logistics platform for e-commerce brands managing high-volume shipments across 600+ carriers. The tech stack—JavaScript/React frontend, Python/Node.js backend, Databricks/Spark/Delta Lake data layer—indicates an engineering organization building toward real-time analytics and ML-driven optimization. Active hiring across data, engineering, product, and sales, combined with projects around data-platform scaling and AI-driven processes, suggests ClickPost is transitioning from carrier-management APIs toward intelligence: automating shipment allocation, exception resolution via voice agents, and returns optimization.
ClickPost provides a post-purchase intelligence platform designed for e-commerce and retail brands executing thousands of daily shipments. The core product integrates carrier selection across 600+ logistics providers, branded customer tracking, exception handling, and returns management into a single API surface. The company operates primarily in India, with headcount in the 51–200 range and recent hiring acceleration across engineering, data, product, and go-to-market functions. Internal priorities center on scaling data infrastructure, improving data reliability and governance, and automating post-purchase workflows—particularly exception resolution and churn-risk detection. ClickPost serves direct-to-consumer and marketplace brands competing on delivery consistency rather than price alone.
Frontend: React, Angular, JavaScript/HTML5/CSS. Backend: Node.js, Python, TypeScript. Data: Databricks, Apache Spark, Delta Lake, SQL, PySpark, Scala. Infrastructure: AWS, Azure, GCP. Version control: Git, Mercurial, Subversion.
Bengaluru, India. All current hiring is within India.
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