Engineering Manager, Applied AI & Platform

Norm AI•New York, NY

16h•Hybrid

About The Position

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. As an Engineering Manager at Norm AI, you will lead a high-performing, multidisciplinary team building the systems that power our AI products — from LLM-based workflows to the infrastructure that supports them in production. Your team will include engineers working across AI and platform domains. You will focus on building a strong, effective team: setting clear priorities, supporting engineers in their growth, and ensuring consistent execution across complex, cross-functional work. You will partner closely with technical directors, senior engineers, legal engineers, and product teams across Norm AI and Norm Law, our first-of-its-kind agentic AI law firm. This role is ideal for an Engineering Manager who thrives in technically complex environments and is energized by leading teams working on challenging problems, even if they are not the primary architect or domain expert.

Requirements

4+ years of experience as an engineering manager or in a similar leadership role.
Proven track record of managing and developing high-performing engineering teams.
Experience leading teams working across multiple technical domains (e.g., backend, infrastructure, data, or AI/ML).
Ability to support and mentor engineers working on complex systems, even outside your direct area of specialization.
Strong understanding of modern software development practices and system design concepts.
Experience driving execution in fast-moving, ambiguous environments.
Demonstrated ability to partner effectively with senior engineers and technical leaders.
Strong stakeholder management and cross-functional collaboration skills.
Excellent communication skills, with the ability to operate effectively with both technical and non-technical audiences.

Nice To Haves

Exposure to AI/ML systems, such as LLM-based applications or data-driven products.
Experience working with cloud infrastructure or platform teams.
Background in startups or high-growth environments.
Experience in regulated or compliance-heavy domains.

Responsibilities

Lead, mentor, and grow a team of engineers across AI and platform disciplines through regular 1:1s, performance management, and career development.
Create clarity around priorities, goals, and execution across multiple workstreams, ensuring the team delivers consistently and effectively.
Partner closely with technical leads and senior engineers who own system architecture and design across AI and platform systems.
Support engineers working on complex technical problems by providing guidance, removing blockers, and fostering strong collaboration.
Establish a high-performance team culture grounded in ownership, accountability, and continuous improvement.
Drive team processes including planning, execution tracking, and retrospectives to improve velocity and quality.
Lead hiring efforts across AI and platform engineering, partnering with recruiting and technical leadership to attract and close strong candidates.
Communicate clearly with senior leadership on team progress, risks, and opportunities.
Collaborate cross-functionally with product, legal engineering, and platform teams to ensure alignment and successful delivery.