H

Harvey

Builds AI software for lawyers

GTM Systems Administrator

Enterprise ApplicationsConfirmed live in the last 24 hours
Full-timeDublin, IrelandNo salary listed

About the Job

Requirements

  • The candidate must have 4–8+ years of experience in GTM Systems, Revenue Operations, Growth Operations, Support Operations, or similar roles.
  • The candidate must have strong proficiency in Salesforce, including data modeling, Flows, lead routing, account hierarchy, and reporting, plus hands-on Zendesk administration experience, or deep expertise in one and proven ability to ramp quickly on the other.
  • The candidate must have hands-on experience with Clay and at least one major enrichment or data provider, such as ZoomInfo, Cognism, Apollo, or Clearbit, and experience with marketing automation platforms such as Marketo, HubSpot, or similar.
  • The candidate must demonstrate AI fluency, using AI tools to build workflows, automate administrative tasks, draft configurations, and troubleshoot, with concrete examples of work shipped this way.
  • The candidate must be able to design and debug end-to-end data flows across tools, covering both reactive support workflows and proactive growth motions.
  • The candidate must be comfortable working in a pod, taking on varied projects, and collaborating cross-functionally with Sales, Marketing, Support, Customer Success, and Operations; the candidate should be organized and documentation-oriented, with a focus on scalable, maintainable systems.

Responsibilities

  • Work across projects on the GTM Systems team, shifting between top-of-funnel growth and support/customer-success tooling based on business needs.
  • Design and improve top-of-funnel systems for lead sourcing, enrichment, scoring, and routing; build enrichment workflows in Clay and across data providers to support inbound and outbound pipeline.
  • Configure and optimize Zendesk as the primary support platform, including ticket routing, triggers, automations, macros, SLA policies, and agent workspace, and support adjacent Customer Success platforms such as Catalyst.
  • Contribute to Salesforce configuration across the funnel, including lead routing, scoring, lifecycle stages, Flows, validation rules, custom objects, and data flows across Salesforce, marketing automation, support, and enrichment tools.
  • Build and maintain AI agents, automations, and workflows—including AI triage, copilots, agent-based enrichment, and large language model-powered data quality checks—to reduce manual administrative work and expand the systems team's delivery without engineering support.
  • Integrate go-to-market and Customer Success tools with the broader company ecosystem, including CRM, product data, internal tools, and communication platforms, to create a unified customer view.
  • Build reporting and dashboards that provide visibility into pipeline conversion, support performance, and customer health.
  • Maintain data quality and compliance through deduplication, normalization, enrichment governance, and consent/opt-out handling.
  • Document system architecture, workflows, and processes to support scalability as the company grows.

Desired Qualifications

  • Experience with Customer Success platforms such as Gainsight or Catalyst, or Zendesk certifications.
  • Experience building integrations using APIs, webhooks, or iPaaS tools such as Workato, Zapier, or MuleSoft, or integrating go-to-market systems with data warehouses such as Snowflake or BigQuery.
  • Experience building or deploying AI agents in production, such as agentic prospecting, AI ticket triage, or health-score automation.
  • Working knowledge of SQL and/or scripting languages such as Python or JavaScript for data workflows.
  • Background in high-growth or early-stage environments where systems are built from the ground up.

About the Company

Harvey

Builds AI software for lawyers

Harvey builds AI software made specifically for legal work, used by lawyers at large law firms and corporate legal departments. It became one of the first generative AI tools rolled out across a major law firm when Allen & Overy gave it to its lawyers worldwide in 2023. Lawyers use Harvey to research legal questions, draft and review contracts, and run due diligence across large sets of documents, with answers grounded in their firm's own files and trusted legal sources. Firms pay through enterprise subscriptions, and Harvey can tailor its workflows to practice areas such as litigation and mergers. Harvey was founded in 2022 with early backing from the OpenAI Startup Fund and is based in San Francisco.

Company size
1,001-5,000
Company stage
Late Stage VC
Total funding
$1.8B
Headquarters
San Francisco, CA
Founded
2022

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