Manager of Enterprise Application Engineering, Harvey

• Minimum 2 years of engineering management experience, and 7+ years of hands-on enterprise application, integration, or internal platform engineering
• Hands-on engineering depth in a modern language (Python, TypeScript, Go, or similar) and real experience designing and operating API-based integrations between business systems
• Working knowledge of the enterprise SaaS landscape - CRM, HRIS, ERP, IdP, Marketing automation, and support / CX platforms (Salesforce, Workday, NetSuite, Okta, Marketo/Braze, Zendesk, or comparable) - and how business processes like Lead-to-Cash, Hire-to-Retire, and the post-sale support lifecycle actually flow across them
• Demonstrated experience applying LLMs or AI agents to real production problems, with a clear point of view on evaluation, guardrails, and where the technology does and doesn't hold up
• Track record of hiring and developing engineers, and of raising the technical bar on a team you inherited or built
• Strong communication and stakeholder management skills, especially with non-technical teams
• Ability to thrive in a fast-paced, high-growth, and global environment

Desirable

• We're seeking a Manager, Enterprise Application Engineering to build and lead the engineering team behind Harvey's internal business systems
• You'll manage a group of Enterprise Application Engineers and AI Enablement Engineers who build the applications, integrations, and agents that Harvey's business teams run on — and you'll stay hands-on in the code and architecture yourself
• This is Harvey's first Business Technology leadership role in Dublin, so you'll also anchor the EMEA engineering bench for BizTech as the company scales internationally
• You'll inherit a small nucleus and hire out from there, which means your first year is as much about recruiting, defining the team's charter, and setting the engineering bar as it is about shipping
• The ideal candidate is a working manager: someone who has built internal applications and integrations at a fast-moving company, has led a small engineering team, and is genuinely excited about applying AI agents to internal business problems rather than just talking about it. Harvey builds AI for legal professionals - the internal bar has to match the external one
• Build and lead the team. Hire, onboard, and develop a Dublin-based team of Enterprise Application Engineers and AI Enablement Engineers. Own the interview loop, ramp plans, and performance for the function
• Stay hands-on. Spend a meaningful share of your time in the work - designing systems, reviewing code, writing integrations, unblocking your engineers on production issues. You set the technical bar by demonstrating it
• Own the internal application layer. Take responsibility for the custom applications, services, and automations that sit on top of and between Harvey's core platforms (Salesforce, Workday, NetSuite, Okta, Marketo, Zendesk, Google Workspace, Slack, Zip, Linear, Notion), including their reliability, security posture, and lifecycle
• Drive AI enablement into the business. Lead the team that puts agents, MCP servers, and internal AI tooling into the hands of Harvey’s teams - building the connective plumbing to internal systems, the evaluation and guardrail practices that make it safe, and the enablement that makes it stick
• Partner with business and systems owners. Work directly with teams across Finance, People, GTM, Marketing, Customer Experience, Legal, and Workplace leaders to turn ambiguous business problems into scoped, sequenced engineering work - and to say no clearly when something shouldn't be built
• Establish engineering standards. Define how this team writes, tests, deploys, documents, and monitors what it builds. Introduce the practices that scale a growing team without adding process for its own sake
• Anchor BizTech in EMEA. Provide senior BizTech presence in Dublin for a growing international office and region, and hold enough overlap with US stakeholders to stay tightly coupled to the wider org
• Make build-vs-buy calls. Assess when a business need is better solved by configuration, a vendor, an integration, or custom code - and make that call with cost, security, and long-term maintenance in view