Jobs at Harvey

Own and grow a named mid‑market book in Spain for Harvey's AI products. Manage full sales cycle from prospecting to contracting, onboarding, expansion and renewals. Run tailored demos, build stakeholder relationships, hit revenue targets, maintain CRM hygiene, collaborate with product and engineering, and help develop scalable sales playbooks. Travel to client and company offices as needed.

Own a named book of mid-market ANZ accounts and drive full sales cycle adoption of Harvey's AI platform: prospecting, demos, contracting, onboarding, expansion, and renewals while collaborating with product, engineering, and customer success to tailor solutions and hit revenue targets.

Manage and negotiate commercial contracts (NDAs, MSAs, SOWs, marketing/staffing/procurement agreements); maintain templates and playbooks; improve contracting operations and workflows; escalate product/privacy/regulatory issues; negotiate DPAs; train and support go-to-market and cross-functional teams. Support contracts management system and broader legal operations.

Serve as a post-sales legal product specialist who builds trust with law firms and in-house teams, leads onboarding and training, drives adoption and expansion, surfaces adoption barriers, translates practice needs into product feedback, monitors usage, and contributes customer-facing enablement content. Collaborate closely with Customer Success and Sales to support renewals and demonstrate impact.

Work directly with law firms and corporate legal teams to design, pilot, and deploy AI-powered legal workflows. Diagnose high-value opportunities, lead discovery and onboarding, translate user insights into roadmap direction, and partner with go-to-market and customer success to embed the platform and measure business impact across practice areas.

Build and optimize agentic AI systems for legal workflows: design actions/environments, select models, manage context windows, create tools and evals, implement low-latency execution infrastructure, and improve observability to drive agent performance and customer outcomes.

Build and optimize agentic AI systems for legal workflows: design actions/environments, manage prompts and context, select models and tools, implement low-latency execution infrastructure, develop evaluations, and improve observability to drive agent performance and product iteration.

Lead Harvey’s owned global events program (FORUM): define strategy, content, programming, partner and invite strategy, P&L, and attendee experience. Build and manage a cross-functional events team, partner with GTM and executive leaders to drive sales acceleration, oversee agencies/vendors, and create systems and playbooks to scale the program globally while maintaining high quality and ROI.

Lead and scale Harvey's owned global events program (FORUM). Own strategy, content, programming, partner and invite strategy, P&L, and executive engagement. Build and manage a cross-functional events team, partner with GTM and Brand to drive pipeline and sales acceleration, manage agencies/vendors, and create playbooks and systems to scale high-quality global events.

Manage full sales lifecycle for SMB legal and professional services clients: prospect, qualify, demo, negotiate, and close high-velocity, consultative AI SaaS deals. Build relationships with decision-makers, maintain pipeline and CRM hygiene, collaborate cross-functionally to tailor solutions, and create SMB sales collateral and processes to drive growth.

Analyze adoption and usage data to surface impact; build repeatable playbooks, frameworks, and executive-ready communications; synthesize lessons from transformation engagements; coordinate cross-functionally across Legal Engineering, GTM, and Customer Success; own discrete workstreams and support client engagements. Travel up to 25%.

Own strategic relationships with the largest Harvey customers, driving adoption, change management, executive engagement, and product-feedback loops. Lead implementations, monitor account health, enable end users, and evangelize Harvey to maximize value and retention.

Own and grow a mid-market book of business for Harvey's AI solutions across legal and professional services. Manage full sales lifecycle from prospecting to contracting, onboarding, renewals, and forecasting. Conduct tailored demos, build executive relationships, collaborate cross-functionally to shape solutions, and develop scalable sales playbooks. Travel occasionally to customer and company offices.

Serve as primary advisor to largest customers, lead strategic implementation and adoption of Harvey's AI platform, monitor account health, enable end users, drive executive engagement, relay product feedback, and travel up to 25%.

Lead end-to-end qualitative, quantitative, and mixed-methods research for core product areas. Influence roadmaps by surfacing unmet legal user needs, synthesize insights into compelling recommendations, build or prototype research tooling and integrations, and partner closely with PMs and designers to raise research quality and speed. Drive strategic, cross-team research programs and mentor partners to develop stronger research instincts in a fast-moving AI product environment.

Lead strategy and execution for Mid-Market Customer Success across the Americas. Build and scale a high-performing CS team, own NRR, adoption, renewals, and expansion, implement scalable processes (onboarding, QBRs, health scoring), partner cross-functionally to shape product and GTM, and engage executives at customer organizations to drive measurable ROI.

Lead Americas mid-market customer success: define strategy, scale and coach CSMs, drive NRR/adoption/renewals and expansion, build scalable CS processes, partner cross-functionally, and engage C-suite stakeholders to ensure measurable ROI from Harvey's AI platform.

Own integrations program operations: intake and triage requests, manage ISV/technology partners, run early-access programs, coordinate cross-functional launches, and build scalable processes, documentation, and automation for API/MCP-based integrations.

Own intake, triage, and prioritization of customer feature requests and data issues; manage external technology partner relationships; run early-access programs and coordinate cross-functional launches; create documentation, playbooks, and scalable systems; translate feedback into prioritized workstreams and recommendations to keep product, engineering, and GTM aligned.

Own integrations partner operations: intake and triage requests, manage ISV relationships, run early-access programs, coordinate cross-functional launches, and build scalable processes, documentation, and automation to support APIs, MCP servers, and third-party connectors.