AI-Driven Product Engineering Manager

Engg; New York (NY); On-site; USD 260,000 - 330,000; Full time

Job summary

Harvey is redefining legal tech by combining frontier AI with an enterprise-grade platform. As an Engineering Manager for Product Engineering, you’ll lead fullstack teams shipping core product surfaces used by lawyers and professionals, balancing speed and quality.

You’ll hire and mentor engineers, shape architecture for AI-powered workflows, and partner with Design, Product, and AI teams to deliver impactful features at speed.

Qualifications

• 3+ years in software engineering management leading fullstack teams.
• 5+ years as a fullstack or backend product engineer.
• Proven track record of leading high-performing engineering teams.
• Strong product sense balancing speed, quality, and user impact.
• Experience with React frontend and Python/Node/Go backend.
• Bonus: exposure to AI-powered apps or complex internal tools.

Responsibilities

• Lead fullstack engineering team(s) building user-facing features across our web product.
• Collaborate closely with Design, Product, and AI teams to identify and execute on high-impact initiatives.
• Help define and evolve the architecture for a fast-moving, AI-powered application.
• Hire, grow, and retain exceptional engineers who thrive in a high‑trust, high‑impact environment.
• Foster a culture of simplicity, quality, and continuous improvement.
• Contribute to code and architecture reviews, unblock teams, and lead by example when needed.
• Work closely with cross‑functional partners to align product initiatives with company goals.

Skills

3+ years management

Engineering leadership

Product sense

React

Python

Node

Go

AI exposure

Tools

React

Python

Node

Go

Job description

Harvey is redefining legal tech by combining frontier AI with an enterprise-grade platform. As an Engineering Manager for Product Engineering, you’ll lead fullstack teams shipping core product surfaces used by lawyers and professionals, balancing speed and quality.

You’ll hire and mentor engineers, shape architecture for AI-powered workflows, and partner with Design, Product, and AI teams to deliver impactful features at speed.