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Manage and grow a team of Legal Engineers supporting sales and strategic customers. Drive deal strategy, demos, discovery, and cross-functional product feedback. Build relationships with senior legal stakeholders and scale Legal Engineering processes, enablement, and market presence.

As a Senior Technical Recruiter at Harvey, you'll manage the full recruitment cycle, collaborate with leadership on hiring needs, build talent pipelines, and advise on recruiting strategies while maintaining data accuracy in the ATS.

As a Staff Software Engineer on the AI Platform team, you'll design and build core systems for context management, model routing, and evaluation, contributing to the integration of AI in legal services.

The Competitive Intelligence Lead will oversee market analysis, competitive positioning, and strategy development for product marketing at Harvey, ensuring market-readiness and effective storytelling for sales and marketing teams.

As a Senior Full Stack Software Engineer, you will embed with enterprise customers to implement AI systems, design workflows, and operationalize software solutions, enhancing efficiency and driving measurable outcomes.

Lead adoption and value realization of Harvey's AI platform for mid-market legal and in-house teams. Manage 40+ accounts, implement integrations, deliver training, design scalable playbooks and self-help materials, track success metrics, drive renewals and expansions, and relay customer feedback to product teams.

Lead full-cycle recruitment for business roles, partner with leaders on hiring strategies, and enhance recruiting operations during rapid growth.

The Staff Software Engineer will design and build AI platform systems, focusing on context management and model integration, driving infrastructure quality for legal applications.

The role involves providing legal guidance on AI-related issues, partnering with Product and Engineering teams, and ensuring compliance with regulations.

Owner of Support Operations analytics: build and maintain dashboards and recurring reports, track cSAT/TTR/QA/escalations, instrument Zendesk, connect support to product/customer data, design feedback loops, measure AI-driven support impact, quantify cost of bugs/features, and support ad-hoc analysis for leadership.