Norm AI

Compensation

Full Description

About Norm Ai Norm Ai, the leading Legal & Compliance AI company, has a client base with a combined $30 trillion in assets under management. By turning legal code into AI code, Norm enables enterprises to move faster and more comprehensively in their legal and compliance processes with reliability and trust. Norm’s platform combines frontier AI, proprietary legal reasoning systems, and embedded legal and regulatory expertise. We have recently raised more than $140 million, backed by Blackstone, Bain Capital, Vanguard, Citi, New York Life, TIAA, Coatue, Craft Ventures, Henry R. Kravis (KKR co-founder), and Marc Benioff (Salesforce CEO). Norm Ai pioneered Legal Engineering, the process that empowers lawyers to build and supervise domain-specific AI agents with Norm’s proprietary suite of no-code software tools. We hired dozens of lawyers from premier U.S. law firms and trained them as Legal Engineers, who specialize in Large Language Model powered legal workflows. Norm Ai technology is deployed inside many of the largest and most consequential institutions in the world. The company is growing quickly and hiring across all teams. About Norm Law Norm Law is the first AI-native full-service law firm for global institutional clients like Blackstone (see recent coverage of our Blackstone partnership here). Legal Engineering, a discipline pioneered by Norm Ai, where lawyers develop legal AI agents, powers Norm Law to deliver faster, more precise, and more consistent legal services. With purpose-built AI agents completing first passes of work, Norm lawyers supervise, review, and focus on what matters most: strategic judgment and expert advice. Norm Law and Norm Ai, together, are building Legal AGI. This Role As a Data Analyst at Norm, you will join our growing data team to build and scale our analytics capabilities. You will develop data models, product insights, and measurement frameworks that power our AI compliance engine and inform how we evaluate, understand, and optimize our product. Working closely with our Director of Data and cross-functional partners in Product, Engineering, and Executive teams, you will translate complex compliance and legal engineering workflows into actionable insights. You will play a key role in establishing best practices, data foundations, and self-service analytics as our analytics function scales. You Will: Build and maintain data models, pipelines, and help develop ELT processes that support product and business analytics Implement comprehensive product analytics to understand how enterprise clients use our AI-driven compliance workflows Develop measurement frameworks to evaluate AI model performance in real-world legal and compliance contexts Design and deliver self-service analytics capabilities using modern tools like Hex for analysis and visualization, dbt for semantic modeling Set up and maintain reliable data pipelines using orchestration platforms like Airflow Establish and uphold data governance practices aligned with enterprise security and regulatory requirements Build dashboards and KPIs that drive strategic product and business decisions Skills & Experience - Core 5-7 years of data analytics experience, ideally with 1-2 years of data engineering exposure Strong SQL and Python skills, with hands-on experience in a modern data stack (dbt, Fivetran, Hex, Airflow) Experience working with cloud data warehouses such as Snowflake, BigQuery, or Redshift Proven ability to build analytics foundations or data models from scratch, especially in early-stage or scaling environments Experience supporting B2B SaaS products and understanding enterprise customer behavior Ability to translate complex business questions into technical data solutions Comfort working in small, fast-moving teams and wearing multiple data hats Skills & Experience - Pluses Experience working in regulated industries such as FinTech, RegTech, or compliance-heavy environments Background in data science, statistics, or applied modeling beyond standard reporting Familiarity with legal, compliance, or enterprise risk workflows Prior experience scaling analytics in a rapidly evolving startup environment What Success Looks Like - 30 Days Develop comprehensive understanding of our product and current data landscape Assist in setting up foundational data infrastructure and begin implementing core analytics tracking Document our data requirements and create a roadmap for analytics capabilities Establish relationships with key stakeholders across Product, Engineering, and Business teams What Success Looks Like - 60 Days Deploy production data pipelines and establish reliable data collection across the platform Launch initial set of product analytics dashboards for user behavior and AI model performance Begin analysis of compliance workflow patterns to identify optimization opportunities Create self-service analytics capabilities for the broader team Comp and Benefits $160,000 - $190,000 annually The range displayed in this job posting reflects the minimum and maximum target for new hire salary for this position. Within the range, individual pay is determined by various factors, including job-related skills (as uncovered during the interview process), experience, and relevant education or training. Please note that the compensation details listed here reflect the base salary only, and do not include equity or benefits. We offer a competitive salary along with equity compensation. Our comprehensive benefits package includes a 401(k) plan with an employer match. Employees enjoy top-tier insurance coverage, encompassing health, dental, hospital, accident, and vision plans. For candidates needing to relocate to NYC, we provide relocation reimbursement. You'll thrive in our fast-paced learning environment where professional growth is constant. We embrace a hybrid model, typically in-office 3-4 days per week. To learn more about Norm Ai, visit our website.