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Drive growth of AI solutions for legal markets, managing sales cycles, building relationships, and showcasing product value with enterprise clients.

The Staff Product Manager will lead product lifecycle, solve AI challenges, collaborate with customers, innovate business models, and grow the product and engineering team.

Drive enterprise sales of Harvey's AI solutions to law firms and professional services. Manage full sales cycle, build executive relationships, demo products, exceed revenue targets, collaborate with product and engineering, and develop scalable sales playbooks.

Build and maintain LLM-powered agents and automation pipelines to create, review, and publish educational content. Integrate and optimize Skilljar and Sanity CMS, eliminate content ops bottlenecks, partner cross-functionally, and implement interactive learning components to scale personalized learning.

Serve as the technical bridge between product and customers: explain Harvey.ai architecture and LLM behavior, resolve security and integration questions, configure accounts (SSO/auth), design and deploy solutions, advise during sales, and help identify upsell/API opportunities while feeding product insights back to engineering.

As a Mid Market Account Executive, you will drive growth of AI solutions in legal and professional services, managing client relationships, achieving sales targets, and demonstrating product value effectively to stakeholders.

Lead end-to-end coordination of security and reliability incidents, build incident management processes and runbooks, run post-incident reviews and remediation programs, maintain incident readiness (tabletops, on-call, tooling), and serve as the communications hub translating technical status to executives, legal, and customer-facing teams.

Owner of post-sales GTM technology execution: translate business objectives into technical requirements, design automations and agentic processes, ensure data integrity and governance, partner cross-functionally with Customer Success, RevOps and GTM teams, and deliver scalable AI-powered tooling and orchestration.

Lead and grow Product Operations, establishing scalable systems, metrics, and cross-functional collaboration to enhance product delivery and operational excellence.

The role involves building AI agent systems for legal professionals, optimizing agent performance, and improving infrastructure for agent execution. Candidates will collaborate with customers and PMs to design evaluations and implement optimizations.