Role details
In just a few years, what began as an idea has become a reliable platform adopted by thousands of legal professionals across Europe.
- We're scaling rapidly, backed by top-tier investors and a world-class team dedicated to rigor, clarity, and impact.
- Today, Lexroom is a trusted partner, shaping the future of legal AI with discipline and purpose.
- Shape the Standard: Be part of the team setting the benchmark for legal AI in Europe.
- Work with the Best: Collaborate with exceptional colleagues in a culture that values competence, curiosity, and ambition.
- Deliver Meaningful Results: Your work will directly influence how legal professionals operate—faster, clearer, and more efficiently.
WHAT YOU'LL DO
- 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.
WHAT YOU'LL BRING
- 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.
Nice to Have
- 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.
WHAT SETS US APART
An Exceptional Team
- 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.
A Foundational Role
This is our first dedicated analytics hire. 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.
Growth that Matters
- We hire exceptional people to make a difference—and we give them space to lead.
- Your work will shape the future of legal technology and set new standards for the field.
- Impact is defined by vision and execution, not by age or title. If you're ready to take responsibility, you'll find real opportunities to grow and lead high-stakes projects.
Rewarding Your Contribution
We value excellence and share success:
- Annual Salary Range: €45,000 – €70,000
- Equity
BENEFITS
- Hybrid Work: Flexibility to balance remote work with in-person collaboration at our Milan HQ.
- Health Insurance: Comprehensive coverage to ensure peace of mind.
- Meal Vouchers: Daily support to make your lunch breaks easier.
- Performance Bonuses: Rewards tied directly to measurable results.
- Team Retreats & Off-sites: Dedicated time to connect, collaborate, and spark bold ideas.