---
title: 'Senior Analytics Engineer at Norm Ai'
canonical: 'https://feeny.ai/job/senior-analytics-engineer-norm-ai-new-york-vdpcvjnhczhh'
type: 'job'
last_seen: '2026-10-18'
---

# Senior Analytics Engineer at Norm Ai

- **Company:** Norm Ai
- **Location:** New York, NY
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-10-05
- **Last confirmed live:** 2026-10-18
- **Apply:** https://jobs.ashbyhq.com/norm-ai/24c4f920-9a1d-46e6-bef2-db5aa188fd1b

## Job description

## About Norm Ai

Norm Ai, the agentic law company, has a client base with a combined $30 trillion in assets under management.

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. Norm Ai technology is deployed inside many of the largest and most consequential institutions in the world.

Norm Ai is also the technology behind Norm Law, LLP, a separate but affiliated AI-native law firm built for the era of agentic AI. Norm Law’s attorneys advise leading institutions across private funds, private equity, venture capital, real estate, registered funds, and financial regulation, using the same legal intelligence platform that powers Norm Ai’s products.

AI Fluency: Norm Ai prefers all team members to be fluent in AI. Successful candidates actively use AI in their day-to-day work to support thinking, creation, and problem-solving. They use it to improve the quality and speed of their work and to continuously refine how work gets done end-to-end.

Candidates should be prepared to demonstrate and discuss their AI usage throughout the interview process, including concrete examples of tools, workflows, and outcomes. We look for practical, hands-on experience, not theoretical familiarity.

This Role: The Senior Analytics Engineer will own the analytics data products that our internal teams rely on to make decisions. You will turn prototypes and one-off analyses into trusted, production-grade models and metrics. That means reusable models, business-facing metrics, access controls, tests, documentation, and the guidance our Lightdash AI agents need to answer questions correctly. This role reports directly to the Director of Data and works closely with the rest of the data team and with internal partners such as GTM and Finance. It is a hands-on role that combines modeling judgment with stakeholder discovery.

What You'll Do:

- Own analytics data products across internal business functions
- Design and maintain reusable intermediate models, business-facing gold models, metrics, access controls, tests, documentation, and Lightdash agent guidance
- Turn ideas into production data products by working with stakeholders to define requirements, validating the results, and publishing them
- Reconcile concepts that differ across source systems, and publish mappings, unmatched records, assumptions, and quality checks so conflicts stay visible
- Deliver changes through the full production process, including SQL, dbt tests, Lightdash metadata, access rules, content validation, and AI agent instructions
- Diagnose incorrect or stale results across the data layers, and partner with data engineering when the cause sits below the serving layer
- Review modeling changes, pair with teammates, and help maintain shared standards

What We're Looking For:

Core Qualifications

- 5+ years of analytics engineering or equivalent experience, including contribution to a production dbt project with tests, CI, incremental models, and documentation
- Strong dimensional modeling judgment: you can design conformed entities and facts at the correct grain, and make clear decisions when source systems use conflicting definitions
- Experience delivering a metrics or semantic layer used by both people and tools, with safe access controls for sensitive data
- Familiarity with and regular use of AI coding agents. You verify their output and know when they are not the right tool
- Strong SQL skills and enough Python experience to understand existing pipelines and build transformation tasks
- Clear technical writing. You treat model documentation and metric definitions as part of the data product

Nice to Haves

- Experience with Lightdash, or another semantic layer managed as code
- AWS knowledge and familiarity with tools like Athena, Iceberg, and Spark
- Experience with legal, private equity, or financial services data, including restricted or client-sensitive information
- Experience setting standards or mentoring on a small team

## Compensation and Benefits

Base Salary: $175,000 to $215,000 per year 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, experience, and relevant education or training. Equity: Included Benefits: 401(k) with employer match, health, dental, vision coverage, unlimited paid time off, free lunch in office daily, employee referral bonus program Relocation: Financial support to ease your move to New York City, designed to make the transition smooth and stress-free.

Work Location Location: New York City Work model: Hybrid In-office expectation: 3–4 days per week

To learn more about Norm Ai, visit our [website](https://www.norm.ai).

## About Norm Ai

## Company Overview
- **One-liner**: Norm Ai builds Legal & Compliance AI agents that automate regulatory and compliance tasks by embedding law directly into AI systems.
- **Entity Type**: Private (Private Equity-backed)
- **Headquarters**: New York, New York, USA (7 World Trade Center, 39th Floor)
- **Founded**: 2023
- **Founders**: John Nay (CEO)

## Core Business
- **Primary industry/industries**: Legal Technology, Regulatory Compliance, Artificial Intelligence
- **Target customers**: Large financial institutions, asset managers, and enterprises in regulated sectors (finance, healthcare, legal). Clients include firms with a combined $20+ trillion in assets under management.
- **Mission or purpose statement**: To make compliance advice abundant and set the norms for an agentic implementation of law and policy.

## Products & Services
- **Norm Ai Platform (Regulatory AI)**: AI agents that automate compliance tasks such as risk identification, compliance checks, and regulatory report generation, while adhering to legal and regulatory requirements.
- **Supervisory AI**: A verification and oversight layer for every AI agent operating under law, ensuring compliance and governance.
- **Norm Law**: The world's first fully AI-native law firm for global institutional clients, launched in early 2026.
- **Legal AGI Lab**: The R&D arm (launched April 2026 at Stanford FutureLaw) advancing Legal AGI and the science of AI agents governed by human law.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed.
- **Total Funding**: $136.1M raised to date.
- **Key Funding Rounds**:
  - January 2025: $48M raised from Vanguard, Blackstone, Bain Capital, Citi, TIAA, and Coatue.
  - Early 2026: Additional $50M investment from Blackstone alongside the launch of Norm Law.
- **Notable Investors/Partners**: Blackstone, Coatue, Citi Ventures, Vanguard, Bain Capital, TIAA, New York Life Ventures.
- **Growth Signals**: 
  - Trusted by institutions managing over $30T in combined assets.
  - Client base includes firms with a combined $20 trillion in assets under management.
  - 99 total employees as of mid-2026.
  - Founded in 2023 and already raised $136M+.
  - High-profile hires: Mike Schmidtberger (former Chairman of Sidley Austin) joined as Chairman of Norm Law in January 2026.
  - Senior policy advisors include Susan Dudley (former White House Regulatory Czar) and Troy Paredes (former SEC Commissioner).

## Competitive Advantages
- **First-mover in "Agentic Law"**: Pioneered the concept of embedding legal rules directly into AI agents, creating a defensible position in a nascent category.
- **Institutional Trust**: Backed by and serving the world's largest asset managers, providing a powerful network effect and credibility.
- **Dual Structure (AI + Law Firm)**: Operates both a technology company (Norm Ai) and an affiliated AI-native law firm (Norm Law), allowing it to practice law directly and encode legal judgment.
- **Supervisory AI Moat**: A verification layer that governs AI agents under law, addressing the critical societal-AI alignment problem.
- **Talent Network**: Engineers from Palantir, Google, Stripe, Meta, AWS; Legal Engineers from Harvard Law, Stanford Law, Yale Law, top law firms, and regulators.

## Strategic Focus
- **Scaling Agentic Law**: Expanding the deployment of Regulatory AI agents across the largest financial institutions globally.
- **Building the Legal AGI Lab**: Advancing long-term R&D toward Artificial General Intelligence for legal reasoning.
- **Growing Norm Law**: Recruiting world-class law firm partners and scaling the AI-native law firm for institutional clients.
- **Policy Leadership**: Convening regulators and industry leaders (e.g., U.S. Senators, SEC commissioners) to shape the norms for AI governance.

## Why Work Here
- **Mission-driven**: Work on the societal-AI alignment problem by embedding democratically-determined law into AI systems.
- **High-impact environment**: Fast-paced learning alongside experts at the intersection of law, AI, and technology.
- **Talent density**: Colleagues from top tech companies (Palantir, Google, Stripe) and top law schools/firms.
- **Compensation**: Competitive salary and equity, 401(k) with employer matching, paid parental leave, premium healthcare.
- **Work model**: Hybrid (employees work from physical offices in NYC at the World Trade Center). Relocation reimbursement available.
- **Culture**: High ownership and high trust environment. Free daily lunches, snacks, and drinks in-office. State bar fee reimbursement for legal professionals.
- **Career growth**: Opportunity to define a new category ("Legal Engineering") and work on cutting-edge AI deployment.

## Sources
1. [norm.ai](https://www.norm.ai/)
2. [norm.ai/company](https://www.norm.ai/company)
3. [norm.ai/careers](https://www.norm.ai/careers)
4. [builtin.com](https://builtin.com/company/norm-ai)
5. [cbinsights.com](https://www.cbinsights.com/company/norm-ai)

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