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ShipMonk operates as a technology-powered growth partner and third-party logistics provider for ecommerce and direct-to-consumer brands. The company manages over twelve owned fulfillment centers across the United States, Canada, the United Kingdom, and Europe, handling order fulfillment processes that support merchants during peak seasons. While the primary business operations serve merchants mainly in the United States, the modern software platform is developed by the Product Development team located in Prague.

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About ShipMonk

ShipMonk operates as a technology-powered growth partner and third-party logistics provider for ecommerce and direct-to-consumer brands. The company manages over twelve owned fulfillment centers across the United States, Canada, the United Kingdom, and Europe, handling order fulfillment processes that support merchants during peak seasons. While the primary business operations serve merchants mainly in the United States, the modern software platform is developed by the Product Development team located in Prague.

The organization is actively establishing a new artificial intelligence domain from scratch within its Data team. Its stated work in this area focuses on identifying where data and artificial intelligence can alter business operations, prototyping rapidly, and deploying solutions directly into production. Internal initiatives involve building data pipelines into Snowflake, creating clean models in dbt, and developing practical AI tools such as agents, RAG assistants, and workflow automations for internal business units like human resources, sales, marketing, and operations.

The current open roles indicate that ShipMonk is building dedicated technical and engineering teams focused on artificial intelligence and data management. The open positions include a Junior AI and Data Engineer based in Prague, alongside an AI and Data Technical Consultant with location options spanning Czechia, Poland, and Prague. These roles range from junior levels requiring foundational skills and mentorship from senior engineers to more experienced positions involving direct consultation with business users, requiring approximately three or more years of hands-on engineering experience in product, startup, solutions, or data teams.

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