Engineering Manager, Platform

Posted 3 Days Ago
Be an Early Applicant
New York City, NY, USA
Hybrid
240K-280K Annually
Mid level
Artificial Intelligence • Legal Tech • Machine Learning • Software
Norm Ai is building the future of Agentic Law
The Role
Manage and grow a platform engineering team that builds shared systems and infrastructure. Hire, coach, and develop engineers; run interview loops; align priorities across workstreams; improve team operations and delivery; apply AI to improve developer productivity; and take on targeted technical work to ensure reliable, high-quality platform outcomes.
Summary Generated by Built In

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.

You Will
  • 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.

Skills & Experience: Core
  • 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.

Skills & Experience: Pluses
  • 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.

Comp and Benefits

$240,000 - $280,000 per year + equity

The range displayed reflects the minimum and maximum target for new hire salary for this position. Within the range, individual pay is determined by job-related skills, experience, and relevant education or training. This range reflects base salary only and does not include equity or benefits.

We offer a competitive compensation package including equity, a 401(k) with employer match, and comprehensive insurance (health, dental, hospital, accident, and vision). We provide relocation reimbursement for candidates moving to NYC.

We operate in a flexible hybrid model, typically in-office 3–4 days per week.

To learn more about Norm Ai, visit our website.

Skills Required

  • 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.
  • 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.
  • Fluency in using AI tools and applying AI across the software lifecycle.
  • Deep technical fluency sufficient to guide direction across platform domains.
  • Experience leading or building cloud infrastructure, platform, or shared-services systems.
  • Exposure to AI/ML workloads or LLM-based applications.
  • Background in startups or high-growth environments.

Norm Ai Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Norm Ai and has not been reviewed or approved by Norm Ai.

  • Fair & Transparent Compensation Employer-provided ranges on public job postings indicate clear, competitive bands for senior engineering, data science, and other roles, alongside consistent mentions of competitive salary plus equity. Posted compensation signals align with strong market positioning for New York–based AI and legal-tech roles cited in the materials.
  • Retirement Support A 401(k) plan with a highly competitive employer match is emphasized, with some postings describing the match as at or near the maximum allowed. This positioning highlights retirement benefits as a notable strength within the total-rewards package.
  • Healthcare Strength Benefits are described as top-tier medical, dental, and vision, with additional hospital and accident coverage noted in postings. The breadth of offerings suggests robust healthcare support for a growth-stage startup.

Norm Ai Insights

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The Company
HQ: New York, New York
225 Employees
Year Founded: 2023

What We Do

Norm AI develops AI software that embeds legal reasoning into AI agents to automate legal and compliance tasks. Its offerings include legal AI agents, supervisory AI for verifying AI systems under legal requirements, legal engineering services, and an affiliated law firm that combines legal practice with AI development. The company also conducts research through its Legal AGI Lab to advance AI systems that operate within human legal frameworks. Norm Ai has raised more than $260 million (Series C) from Khosla Ventures, Craft Ventures, Bain Capital Ventures, Coatue, Blackstone, Vanguard, Citi, New York Life, TIAA, Henry R. Kravis, and Marc Benioff.

Why Work With Us

Our platform combines frontier AI, proprietary legal reasoning systems. We started as a compliance AI company, and that work taught us something the rest of the industry missed: generic AI doesn't hold up against real regulatory and legal complexity. In November 2025 we launched the very first agentic AI law firm, Norm Law, now powered by Norm AI.

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