Engineering Manager

About Norm Ai

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.

This Role:

As an Engineering Manager at Norm Ai, you will lead, support, and grow a high‑performing engineering team, aligning their efforts with strategic business goals. You will partner closely with technical directors, legal engineers, product teams, and executive leadership to deliver innovative compliance solutions.

You Will:

• Provide people leadership and career mentorship through regular 1:1s, performance management, and development planning.

• Collaborate closely with technical directors to ensure project execution aligns with strategic priorities and resource capabilities.

• Facilitate team processes, remove obstacles, and promote a collaborative and high‑performance team environment.

• Lead hiring efforts, conduct interviews, and develop talent acquisition strategies in collaboration with technical directors and recruiting teams.

• Communicate effectively with senior leadership to ensure alignment and transparency on team progress, challenges, and successes.

• Regularly engage with cross‑functional stakeholders to ensure your team’s work integrates seamlessly with broader organizational initiatives.

Skills & Experience – Core:

• 4 years of experience as an engineering manager or similar leadership role.

• Demonstrated success managing high‑performing teams and developing engineers’ careers.

• Strong technical background — ideally in software engineering, machine learning, or AI research – enabling you to effectively collaborate with your team.

• Proven ability in stakeholder management, cross‑team coordination, and resolving conflicts.

• Exceptional communication and interpersonal skills.

• Comfortable with strategic thinking, balancing immediate delivery with long‑term technical and organizational health.

Nice-to-have’s:

• Experience in highly regulated industries (finance, healthcare, compliance).

• Familiarity with AI/ML‑driven systems or regulatory technology solutions.

• Experience managing teams through periods of rapid growth and scale.

• Experiencing managing product engineering teams, working closely with product managers, designers, and client engagement teams.

What Success Looks Like

• Build strong relationships with your team members and cross‑functional partners.

• Gain deep understanding of Norm Ai’s technical architecture, key challenges, and organizational goals.

• Clearly articulate team priorities and establish initial frameworks for team communication and operational effectiveness.

• Effectively drive execution of significant initiatives, demonstrating improved team productivity and clarity.

• Foster a strong culture of ownership, accountability, and collaboration within your team.

• Actively contribute to strategic discussions, highlighting opportunities and risks clearly and proactively.

Comp and Benefits

$235,000-$270,000 a year generous early employee equity.

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 (as uncovered during the…