Drive-to-Store platform connecting European shoppers with local retail deals
Shopfully operates a hyperlocal retail network across 25 countries, connecting 200 million shoppers to 500+ retailers through 1,400+ publishers. The tech stack reveals a data and ML-forward organization: Python + PyTorch + Hugging Face + YOLO for computer vision, Pandas + Polars + Spark for data pipelines, and dbt + Looker for analytics — all backed by AWS, GCP, and Azure. Hiring is sales and marketing-led (31 of 51 open roles), with engineering at 6 roles, but the scale of challenges (100 million events daily, scalable pipelines, recommendation systems) signals the backend workload exceeds the current team capacity.
Notable leadership hires: Tax Director, Technical Account Lead
Shopfully is a Drive-to-Store platform that bridges online discovery and offline retail transactions. The company operates a two-sided marketplace: a network of premium European publishers and digital media partners on one side, and 500+ retailers and brands on the other, unified through proprietary AI-driven hyperlocal matching. The service spans 25 countries in Europe, Australia, and Latin America, with a team of 450+ people. Core operations center on shopper network scaling, market expansion (recent launches in Czech, German, and Austrian markets), media agency partnerships, and recommendation infrastructure to surface relevant local deals.
Python, PyTorch, Hugging Face, YOLO, Pandas, Polars, Apache Spark, dbt, Looker, AWS, GCP, and Azure. The stack emphasizes ML (Transformers, GPT) and data pipeline tooling.
Shopfully operates in 25 countries across Europe, Australia, and Latin America, with headquarters in Milano, Italy, and active hiring in 11 countries including Austria, Netherlands, Czechia, France, and Canada.
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