Teams at Lexroom

Build and maintain legal data infrastructure and document-processing pipelines, including OCR, text extraction, metadata tagging, anonymization, monitoring, alerting, and data-quality checks. Optimize systems for scale and reliability while securing sensitive user data. Collaborate with Product, AI Engineering, and Legal Engineering, owning production pipelines end to end. The role requires strong Python and ETL experience, database and cloud infrastructure expertise, and fluency in English and Italian.

Own an AI product area and an international European market, leading discovery, roadmap definition, feature delivery, experimentation, and launch quality. Collaborate with engineering, design, legal engineering, sales, marketing, and customer success. Drive market expansion through competitor analysis, localization, positioning, and go-to-market coordination while tracking activation, retention, and feature depth.

Own technical decisions and production delivery as a senior full-stack engineer in an autonomous product squad. Build and operate features across Next.js and TypeScript frontend systems and Python backend services, mentor engineers through code reviews, and take responsibility for end-to-end systems. The role involves working with AI-powered legal technology, LLM pipelines, databases, vector stores, cloud deployment, and GitHub Actions.