GTM Engineer (GTM Automations)

Responsibilities

• 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.
• 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.
• Translate ambiguous operational problems into scoped, shippable builds.
• Build and scale production automations across the revenue stack using platforms such as Workato, plus custom code where platforms run out of road.
• Own reliability for what you ship through observability, retries, alerting, safe failure paths, and human review where appropriate.
• Build the workflows that keep the revenue engine running: lead routing and lifecycle management, enrichment orchestration, territory and account ownership, pipeline governance.
• Design and ship internal applications using AI-native development tools and modern web stacks, reducing reliance on fragmented point solutions.
• Inform build-vs-buy decisions with working prototypes rather than slide decks.
• Build using Gong's own platform, including conversation data, signals, trackers, and workflows, using our products internally to develop new AI capabilities.
• Prototype automation patterns that shape how modern revenue teams operate, and feed what we learn back to Gong's product teams.
• Instrument every build with performance tracking, so adoption and impact are clearly visible.
• Measure your work in business outcomes such as ops-sourced pipeline, conversion lift, and rep productivity, and iterate against what the data says.
• Embed with Sales, SDR, Customer Success, and Marketing stakeholders, and pressure-test builds in the field through rep ride-alongs and Gong call listening.
• Document what you build and communicate changes clearly to the teams that depend on them.

Qualifications

• 2+ years building automations, internal tools, or production software.
• Builds with code (required): You build and ship working software (Python, TypeScript, or similar).
• AI coding tools like Claude Code and Codex count fully; we care that you ship and understand what you shipped, not whether every line was written by hand.
• You are fluent with APIs and webhooks, use version control by default, and can show us things you have built, at work or on your own.
• Deeper technical fluency is a plus, not the bar.
• AI-native: You use LLMs and AI coding tools regularly to ship real business workflows.
• You understand prompting, evaluation, tool use, and failure modes, and you can explain when AI is and is not the right solution.
• Automation & GTM stack fluency: Experience with automation platforms (Workato, Zapier, n8n, or similar) and familiarity with the modern GTM stack (Salesforce, Clay, Snowflake, dbt, Gong).
• Commercial instinct: You understand how a revenue organization works, you prioritize by business impact, and you are comfortable working directly with sellers and GTM leaders.
• Craft: You build things that do not break. Fallback logic, monitoring, and documentation are defaults, not afterthoughts.
• Builder mindset: Curious and experimental, biased toward working prototypes over decks, with strong async writing.