Gtm AI Engineer

Gong Gong · Enterprise · Remote · GTM Strategy & Planning

Gong is hiring a GTM AI Engineer to design, build, and ship AI-powered infrastructure, tools, and workflows end-to-end for their go-to-market teams. This role focuses on applying AI to internal workflows to increase productivity and drive business outcomes, rather than external product development. The engineer will work with modern AI/LLM tooling and integration patterns, and partner with internal teams.

What you'd actually do

  1. Design and build AI-powered infrastructure, workflows, and internal tools that increase productivity across GTM teams
  2. Take initiatives from concept through production and continued iteration — not just prototyping or proof-of-concept work
  3. Partner closely with the internal Ops, Analytics, Product, and IT teams, who own the operational surfaces, broader data foundation, and AI tooling/hosting infrastructure this work builds on
  4. Identify friction and manual work across GTM workflows and propose AI-driven solutions to eliminate it
  5. Work with subject matter experts pulled in from field teams

Skills

Required

  • Background in software / data engineering, data science, applied AI/ML, or technical consulting
  • hands-on delivery experience
  • Demonstrated experience shipping AI tools or workflows to production
  • Comfort building internal-facing tools
  • Strong systems thinking
  • ability to work independently in an early-stage, still-being-defined team
  • Experience with modern AI/LLM tooling and integration patterns (APIs, workflow orchestration, agent frameworks)

Nice to have

  • Prior experience inside a GTM, RevOps, or Sales organization
  • Familiarity with Gong, Salesforce, or comparable GTM tech stack tools
  • Experience partnering with non-technical stakeholders to scope and prioritize builds

What the JD emphasized

  • shipping AI tools or workflows to production
  • building internal-facing tools
  • AI-powered infrastructure, tools, and workflows end-to-end

Other signals

  • design, build, and ship AI-powered infrastructure, tools, and workflows end-to-end
  • building the systems that sit on top of our data foundation and turn it into real productivity gains
  • demonstrated experience shipping AI tools or workflows to production