---
title: 'Engineering Manager, Platform at Norm Ai'
canonical: 'https://feeny.ai/job/engineering-manager-platform-norm-ai-new-york-5ar2qfefpve8'
type: 'job'
last_seen: '2026-09-06'
---

# Engineering Manager, Platform at Norm Ai

- **Company:** Norm Ai
- **Location:** New York, NY
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-07-21
- **Last confirmed live:** 2026-09-06
- **Apply:** https://jobs.ashbyhq.com/norm-ai/f5bff27b-0028-417f-8acf-7f84fbdf4ead

## 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 expects 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

As an Engineering Manager on our Platform team, you will lead and grow a team of engineers who build the shared systems and infrastructure that power our products. As the consistent thread in your engineers’ careers, you invest in their growth and development. You lead through breadth of context rather than architectural ownership, partnering with the technical directors and senior engineers who own system design. While deep technical fluency is required, your leverage comes primarily through people, process, and judgment rather than writing production code.

## WHAT YOU'LL DO

- Hire, grow, and retain excellent engineers, owning their career development, performance reviews, and compensation input.
- Coach engineers with clear, direct feedback that accelerates their growth.
- Create clarity around priorities, goals, and execution across multiple workstreams, drawing on technical fluency and understanding of business objectives.
- Match engineers to the projects that align with their career goals, technical strengths, and growth trajectories.
- Own the hiring bar and candidate experience, running interview loops, trainings, and debriefs.
- Assist with team planning, execution, code quality, delivery, and retrospectives to improve team operations.
- Drive how the team applies AI across the software lifecycle to raise developer productivity.
- Take on targeted, high-priority engineering work that keeps a delivery on track or takes weight off the team.
- Keep engineering coherent, spotting opportunities to consolidate and helping teams converge on shared approaches.

## WHAT WE'RE LOOKING FOR

## CORE QUALIFICATIONS

- 4+ years of experience as an engineering manager.
- Proven track record of managing and developing high-performing engineers.
- Strong understanding of modern software development practices and system design, sufficient to guide direction across platform domains and to earn the trust of senior engineers, even outside your area of specialization.
- Experience driving execution in fast-moving, high-growth environments.
- Strong stakeholder management and cross-functional collaboration skills.
- Sound business judgment and excellent communication.
- Experience in regulated or compliance-heavy domains.

## NICE TO HAVES

- Experience leading or building cloud infrastructure, platform, or shared-services systems.
- Exposure to the demands of AI/ML workloads, such as LLM-based applications or data-intensive products.
- Background in startups or high-growth environments.

## WHAT SUCCESS LOOKS LIKE

## 30 DAYS

- Build strong relationships with your reports and your partners across engineering leadership.
- Develop a working understanding of Norm’s platform systems, team structure, and current priorities.
- Establish clear 1:1 and communication rhythms with each engineer.

## 60 DAYS

- Partner with technical leads on aligning people with the work where they’ll have the greatest impact.
- Build a concrete growth plan with each engineer.
- Understand the initiatives your engineers support and how they fit together.

## 90 DAYS

- Demonstrate consistent, predictable team delivery, with clear ownership and a healthy on-call and quality bar.
- Establish yourself as a trusted partner to technical leadership.
- Run interview loops that consistently reflect Norm’s hiring bar.

## COMPENSATION AND BENEFITS

Base salary: $240,000 to $280,000 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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