Harvey

Engineering Manager, Agents — SF

San Francisco. Posted 2 days ago

The role

You will lead the Agents engineering team, a group of senior full-stack and backend engineers who build Agent Builder, the Agents experience, workflows and their runtime. You will own reliability, quality, technical direction and hiring for agent and workflow execution at Harvey.

What you will do

  • Lead the Agents engineering team of senior full-stack and backend engineers.
  • Own reliability and quality for agent and workflow execution, including on-call health, incident follow-through, SLOs and evals.
  • Set technical direction for orchestration, durable execution and agent composition, and stay close to the code.
  • Hold a high bar on security, permissions and customer data boundaries.
  • Partner with Product, Design and Data Science on what agents should do for lawyers.
  • Work with Agent Platform, Infrastructure and Security on shared foundations.
  • Shape how the team builds with AI coding agents, including review practices and test infrastructure.
  • Hire, develop and retain engineers, grow tech leads, and build a culture of ownership and candor.

Required qualifications

  • 3+ years managing engineering teams, including teams of 10 or more.
  • 5+ years as a backend or full-stack engineer before that.
  • Experience shipping LLM-powered or agentic products in production.
  • Understanding of orchestration, tool use, evals, and latency and cost trade-offs.
  • Experience operating multi-tenant systems with strict security, permission or compliance requirements.
  • Comfort going deep on distributed systems such as workflow engines (for example Temporal), queues, sandboxing and long-running jobs.
  • Strong product judgment and the ability to weigh speed, quality and user impact.

Nice to have

  • Experience with builder, low-code or automation tools for non-engineers.
  • Experience with legal or other professional-services workflows.

About the company

Harvey is transforming how legal and professional services operate by combining agentic AI, an enterprise platform and domain expertise. The company describes strong product-market fit and is scaling fast.