Digital freight forwarding platform for European full truck load transport
sennder runs a tech-driven FTL freight forwarding business from Berlin, pairing a deep ML stack (PyTorch, JAX, XGBoost, MLflow, Flyte, BentoML) with AWS, Kubernetes and Terraform. Active projects in pricing engine optimization, carrier forecasting and recommender systems show ML sits at the core of matching and pricing. Hiring skews heavily toward operations and logistics across seven European countries, so the network is scaling on the ground, not just in code.
Notable leadership hires: Head of Legal
sennder is a Berlin-headquartered digital road freight forwarder founded in 2015, focused on full truck load shipments across Europe. It connects shippers with a large network of carriers and trucks, aiming to digitize and automate road logistics processes. The company has 1,001–5,000 employees and hires in Germany, Italy, the Netherlands, Spain, France, Romania and Latvia. Its offering includes lower-emission transport options alongside standard FTL services. Finance operations run on NetSuite, Oracle and Planful, with Salesforce supporting commercial teams.
sennder uses Python, PyTorch, JAX, XGBoost, scikit-learn, MLflow, Flyte, BentoML and Apache Airflow on AWS with Docker, Kubernetes and Terraform, plus Looker, Power BI, Salesforce and NetSuite.
sennder hires in Germany, Italy, the Netherlands, Spain, France, Romania and Latvia, with most openings in operations and logistics, plus data, engineering and finance roles.
Current initiatives include load and route optimization, carrier network expansion, pricing engine optimization, carrier forecasting, recommender systems, AI adoption and a data governance foundation.
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sennder'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.