USA remote
Staff Technical Program Manager
About this role
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, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time.
The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are.
If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW We are looking for a Technical Program Manager to lead Harvey's highest-priority company programs across the organization and technology stack. You will partner with engineering, product, and business leaders to turn ambiguous problems into clear plans and drive execution from scoping through launch and measurable impact.
Your portfolio will evolve with company priorities, spanning areas such as AI infrastructure, developer productivity, and customer-facing products. You will go deep technically, align teams on tradeoffs and dependencies, and bring the right people together to deliver outcomes that no single team can achieve alone. WHAT YOU'LL DO - Own end-to-end execution of critical company programs, working with engineering, product, and business leaders to define outcomes, scope, owners, milestones, and success metrics.
Focus your efforts where they can have the greatest impact as company priorities evolve. - Lead programs across technical domains. Examples could include AI infrastructure: coordinating capacity planning with engineering, finance, and model providers; driving model failover readiness; and enabling model experiments that evaluate quality, latency, reliability, and cost. - Drive developer productivity programs, such as evaluating and scaling AI coding agent usage, improving test coverage and reliability, and reducing CI/CD bottlenecks.