Synced from Ashby · Jul 21

Engineering Manager

Norm AiNew York CityPosted Jul 21, 2026
Engineering ManagerRemoteSenior
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Mirrored from Norm Ai's own Ashby careers system · refreshed hourly

$240k–$280k
Compensation
18
Other open Norm Ai roles
Jul 21
Posted
Ashby
Applicant system
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.

View original posting on Ashby

What applying to Norm Ai usually looks like

Based on publicly available information, candidates applying through Ashby can typically expect a structured but efficient process, as this ATS commonly supports streamlined applications with a resume, and sometimes a cover letter or short screening questions. For roles at Norm Ai, spanning technical, legal, design, and operational functions, the process may include multiple stages such as an initial recruiter conversation, hiring manager discussions, and role-specific assessments like case studies, portfolio reviews, or technical exercises, depending on the position. Communication is often handled through automated updates within the Ashby platform, though response times vary by team and role. Candidates can generally expect to track application status through an online portal. As with most Ashby-based hiring, preparation should focus on aligning experience with the specific job description and demonstrating relevant skills clearly.”

Based on publicly available information. LandEarly does not verify interview process details.

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Engineering Manager
Norm Ai · New York City
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