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 role with a strong engineering mindset.




~ Expert SQL skills and hands-on experience with dbt (dbt Core or dbt Cloud).
~ Solid experience with BigQuery or comparable cloud data warehouses (Snowflake, Redshift).
~ Strong understanding of dimensional modeling, data testing, and documentation-as-code practices.
~ Comfortable working in a Python ecosystem (scripting, basic ETL, notebooks for exploration).
~ Experience building data models that serve multiple stakeholders (product, engineering, business).
~ Fluent English; Italian is a strong plus.
Experience with event-driven architectures (Pub/Sub, Kafka) and streaming data.
Familiarity with Elasticsearch, Pinecone, or vector databases.
Exposure to engineering metrics (DORA, PR analytics) or developer productivity measurement.
Experience with BI/visualization tools (Retool, Looker Studio, Metabase).
Interest in AI/ML model evaluation and LLM output quality measurement.
Previous experience in legal-tech, RegTech, or B2B SaaS.
ai , you'll work alongside top talent in tech and legal AI.
Our focused teams operate with purpose and autonomy, so every contribution delivers visible results.
You'll collaborate with people who pair innovation with rigor, curiosity with discipline, ambition with depth.
You won't inherit a legacy stack or fight bureaucracy—you'll design the analytics function from scratch with direct executive sponsorship, a modern stack (BigQuery, dbt, Pub/Sub, Python, GCP), and real strategic impact from day one.
Your work will shape the future of legal technology and set new standards for the field.
If you're ready to take responsibility, you'll find real opportunities to grow and lead high-stakes projects.
Equity Package: Benefits That Matter
Hybrid Work: Flexibility to balance remote work with in-person collaboration at our Milan HQ.
Meal Vouchers: Daily support to make your lunch breaks easier.
Performance Bonuses: Team Retreats & Off-sites: Dedicated time to connect, collaborate, and spark bold ideas.
We're not just building a product—we're setting a new standard for the legal world.

📌 Remote Engineer (Milano)
🏢 Lexroom.ai
📍 Milano