Qargo TMS is a SaaS platform built for road transport companies to streamline dispatch, planning, and administrative workflows. The tech stack—Python, Django, PostgreSQL, Kubernetes, GCP—reveals a cloud-native backend built for scale; the presence of PyTorch, Hugging Face, and LangChain suggests active investment in ML-driven features (document extraction, chatbot, process automation). Hiring is accelerating across engineering and sales, with active focus on customer onboarding, integration performance, and geographic expansion into Ireland and continental Europe.
Qargo TMS is a next-generation transport management system designed for road logistics operators in the UK and EU. Founded in 2020 and headquartered in London, the company serves mid-market transport companies aiming to reduce administrative overhead, optimize route planning, and improve operational efficiency. The product is built on a modern cloud stack (GCP, Kubernetes, PostgreSQL) and includes features for planning optimization, document extraction, process automation, and customer onboarding. Active hiring across engineering, sales, and support—with roles open in the UK, Ireland, Belgium, Netherlands, France, and Canada—signals growth momentum and geographic expansion.
Backend: Python, Django, GraphQL, PostgreSQL, Kubernetes on GCP. Analytics: BigQuery, Looker, Tableau, Lightdash, Superset. Frontend: React, React Native. ML/AI: PyTorch, Hugging Face, LangChain, LangGraph. CRM/monitoring: HubSpot, Gong, Mixpanel.
Active hiring in Belgium, Netherlands, United Kingdom, Ireland, France, and Canada. Focus areas include geographic expansion, particularly into Ireland, and building distributed engineering and sales teams.
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