Engineering Manager, Agents — SF
Harvey · San Francisco
About this role
## Engineering Manager, Agents — SF ### Why Harvey At Harvey, we’re transforming how legal and professional services operate by combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise. This is a rare opportunity to help build a generational company at a true inflection point—strong product-market fit, world-class investor support, and a team that moves fast with high ownership. **Values:** Decisiveness, Simplicity, and Job’s Not Finished. ### Role Overview Harvey is redefining what’s possible in legal work by combining cutting-edge AI with intuitive product experiences. As we scale and take on increasingly complex use cases, we’re expanding our product engineering team to ship fast, delight users, and build infrastructure that scales. The **Agents** team enables lawyers to turn expertise into reusable, automated work—**custom agents and workflows** that draft, review, and analyze across a firm’s documents. As **Engineering Manager**, you’ll lead a large, senior team of full-stack and backend engineers through the shift from **single-turn assistants** to **long-running, multi-agent systems** that firms trust with sensitive work. This role is equal parts **product judgment** and **systems depth**. ### Why Now - Agents are how firms put Harvey to work: reusable agents and workflows running across documents and matters. - Work is moving from single-turn assistance to long-running, scheduled, and multi-agent execution—requiring durable execution, sandboxed tools, and recovery at scale. - Agents reach into sensitive data—so permissions, tenant isolation, and governance must hold everywhere agents can act. - Other Harvey products build on this platform—quality and speed set the pace for the company. - We need a leader to raise the bar on **reliability and evaluation** while keeping shipping velocity. ### What You’ll Do - Lead the **Agents engineering team** (senior full-stack and backend engineers) building **Agent Builder**, the Agents experience, workflows, and the runtime underneath them. - Own **reliability and quality** for agent/workflow execution: on-call health, incident follow-through, **SLOs**, and **evals**. - Set technical direction for **orchestration**, **durable execution**, and **agent composition**; stay close enough to the code to make sound architecture calls and unblock hard problems. - Maintain a high bar on **security** and **customer data boundaries**: permissions, isolation, and admin controls designed in from the start. - Partner with Product, Design, and Data Science on what agents should do for lawyers; collaborate with Agent Platform, Infrastructure, and Security on shared foundations. - Shape how the team builds with AI coding agents: review practices, verification, and test infrastructure to keep quality high as output grows. - Hire, develop, and retain strong engineers; grow tech leads; build a culture of ownership and candor. ### What You Have - **3+ years** managing engineering teams (teams of **10+**), plus **5+ years** as a backend or full-stack engineer. - Shipped **LLM-powered/agentic products** in production; understand orchestration, tool use, evals, and latency/cost trade-offs. - Operated **multi-tenant systems** with strict security, permission, or compliance requirements; treat permissions bugs as trust issues. - Comfortable going deep on **distributed systems** (e.g., workflow engines like Temporal, queues, sandboxing, long-running jobs). - Strong product judgmen
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