Gtm Engineer (gtm Automations)

Gong Gong · Enterprise · San Francisco, CA · GTM Strategy & Planning

Gong is seeking a GTM Engineer to design, build, and own AI agents, automations, and internal tools for their go-to-market organization. This role involves shipping production applications across sales, SDR, customer success, and partnerships, focusing on business outcomes and using Gong's own AI platform internally. The engineer will evolve deterministic rules towards agentic logic with appropriate guardrails and audit trails, and build reliable automations using platforms like Workato and custom code.

What you'd actually do

  1. Design, build, and deploy AI-powered workflows and agents across the GTM lifecycle, including prospecting intelligence, account research, signal monitoring, pipeline management, and renewal and expansion plays.
  2. Evolve our automation portfolio intelligently from deterministic rules toward agentic logic, with the guardrails, audit trails, and human review steps that revenue-critical work demands.
  3. Build and scale production automations across the revenue stack using platforms such as Workato, plus custom code where platforms run out of road.
  4. Own reliability for what you ship through observability, retries, alerting, safe failure paths, and human review where appropriate.
  5. Design and ship internal applications using AI-native development tools and modern web stacks, reducing reliance on fragmented point solutions.

Skills

Required

  • 2+ years building automations, internal tools, or production software
  • Builds with code (Python, TypeScript, or similar)
  • Fluent with APIs and webhooks
  • Use version control by default
  • Understand prompting, evaluation, tool use, and failure modes
  • Experience with automation platforms (Workato, Zapier, n8n, or similar)
  • Familiarity with the modern GTM stack (Salesforce, Clay, Snowflake, dbt, Gong)
  • Understand how a revenue organization works
  • Prioritize by business impact
  • Comfortable working directly with sellers and GTM leaders
  • Builds things that do not break
  • Fallback logic, monitoring, and documentation are defaults
  • Curious and experimental
  • Biased toward working prototypes over decks
  • Strong async writing

What the JD emphasized

  • Builds with code (required)
  • AI-native
  • Craft

Other signals

  • AI agents
  • automation platforms
  • production software
  • business outcomes