Remote engineer

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7os0ew

At Lexroom.ai , we set the bar for legal AI—clear, fast, and built for trust.

In just a few years, what began as an idea has become a reliable platform adopted by thousands of legal professionals across Europe .

Our mission is clear: make the law faster, clearer, and more reliable , giving lawyers, law firms, and companies the time and confidence to focus on what truly matters.

Today, Lexroom is a trusted partner , shaping the future of legal AI with discipline and purpose.

Why Lexroom.ai ?

Shape the Standard: Be part of the team setting the benchmark for legal AI in Europe.

Your work will directly influence how legal professionals operate—faster, clearer, and more efficiently.

At Lexroom.Here, you’ll build something that lasts: a trusted platform, a strong reputation, a new standard for the legal world.

Own the data transformation layer from raw sources to trusted, documented datasets—designing and maintaining a dbt project on BigQuery with staging, intermediate, and mart layers.

Model product analytics events (user interactions, feature adoption, feedback signals),



engineering metrics, and business KPIs into reliable, self-service data models.

Build and maintain the data foundations powering our dashboards, decisions, and team health metrics.

Implement data quality frameworks: tests, freshness checks, anomaly detection, and clear ownership and SLAs on key datasets.

Collaborate with engineers to improve event tracking and data contracts at the source (Pub/Sub, application events).

Create and curate dashboards and semantic layers that Product, CS, and Sales teams can query directly—enabling true self-service analytics.

Partner with the AI & Search Platform team to instrument and measure model performance, feedback loops, and benchmark results.

Support Product teams with ad-hoc analysis: feature impact, user segmentation, satisfaction trends, and power-user behavior.

3+ years of experience in analytics engineering, data engineering, or a data analyst

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7os0ew