Trade data and digital marketing platform for cross-border commerce
Topease operates a data-driven platform for global trade businesses, combining Python, TensorFlow, and PyTorch with enterprise databases (Oracle, PostgreSQL, Greenplum) and BI tools (MicroStrategy, SAS) to surface customs and trade intelligence. The tech stack reveals a heavy ML and analytics focus — TensorFlow + PyTorch + GPU infrastructure alongside big-data orchestration (Spark, Hive) — but hiring remains flat (1 role in 30 days), with internal projects centered on HR systems, experimentation platforms, and ML model refinement rather than customer-facing product velocity.
Notable leadership hires: Chief Technology Officer
Topease, founded in 2004 and based in Shanghai, serves enterprise clients in cross-border trade and digital marketing. The platform aggregates customs data, trade information, and business intelligence to help exporters and logistics companies optimize market entry and customer targeting. Core capabilities span data enrichment, Google Ads integration, website services, and foreign trade skill training. With 201–500 employees across engineering, data, and sales, the company operates primarily in China and maintains a partnership structure.
Python, TensorFlow, PyTorch, Oracle, PostgreSQL, Greenplum, MySQL, Java Spring Boot, Redis, Elasticsearch, Spark, Hive, MicroStrategy, R, SAS, SPSS, and OceanBase. Heavy emphasis on ML frameworks and on-premise / cloud data warehousing.
Shanghai, China. The company was founded in 2004 and currently employs 201–500 people, hiring exclusively in China.
Active projects include big data and AI initiatives, a user segmentation model, A/B experimentation platform, system platform architecture upgrades, and internal HR and performance evaluation systems.
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