Director, Gtm Automations & Data

Gong Gong · Enterprise · Lehi, UT · GTM Strategy & Planning

Gong is seeking a Director, GTM Systems & Infrastructure to build and lead the systems, automations, and data infrastructure for their Go-To-Market organization. This role focuses on AI, automation, internal tooling, and data orchestration to accelerate revenue by transforming GTM operations. The Director will design and scale the technical backbone connecting GTM systems, workflows, and data to create intelligent, automated processes. Responsibilities include building the Revenue Engineering Function, designing and deploying AI-powered workflows, owning automation and workflow orchestration, creating internal tools, managing revenue data infrastructure, and leading internal innovation initiatives using Gong's own products.

What you'd actually do

  1. Establish and lead the Revenue Systems & Infrastructure discipline within RevOps, defining the strategy, roadmap, and operating model for AI, automation, internal tooling, and revenue data infrastructure.
  2. Design and deploy AI-powered workflows that improve productivity, decision-making, and execution across the revenue organization.
  3. Own the architecture and scaling of GTM workflow automation across the revenue technology stack.
  4. Design and build internal applications and lightweight tooling that accelerate GTM execution and reduce reliance on fragmented point solutions.
  5. Own the orchestration and reliability of revenue data across the GTM ecosystem.

Skills

Required

  • Experience building or operating GTM infrastructure in high-growth B2B SaaS environments
  • Significant experience building and scaling automations using platforms such as Workato, Zapier, n8n, or similar automation and orchestration tools
  • Strong experience designing integrations and automation frameworks across complex GTM system environments
  • Practical experience with AI/ML concepts and their application to business process automation and optimization

Nice to have

  • Experience with AI model deployment and management
  • Familiarity with data pipeline and ETL tools
  • Understanding of CRM and Sales Engagement platforms

What the JD emphasized

  • AI-driven workflows
  • automation frameworks
  • internal tools
  • AI use cases
  • automation and orchestration tools

Other signals

  • AI-powered intelligence
  • specialized agents
  • AI-driven workflows
  • AI use cases