Requirements & tools
Airtable
The GTM Engineer, Revenue Operations at Airtable builds and automates GTM workflows end-to-end — from lead enrichment and account research to pipeline hygiene and outbound sequencing — using AI agents, no-code/low-code tools, and custom integrations. Responsibilities include building event-driven automation across the GTM stack with Airtable, Clay, Zapier, n8n, and similar tools; leveraging LLMs (Claude, ChatGPT, Gemini) to build intelligent automations for outbound, enrichment, and internal workflows; thinking in terms of ‘signal to insight to action’ (ingest intent data, score accounts, route intelligence to reps); maintaining clean data flows between core GTM systems (Salesforce, Databricks, enrichment tools, downstream platforms like Gong and Outreach); and using Hightouch and Fivetran to operationalize warehouse data across the GTM stack. The role treats systems as products — gathering feedback, iterating, identifying what to build next. Required: 3-5 years in GTM engineering, revenue technology, data engineering, or related technical domain; hands-on experience with workflow automation platforms (Zapier, n8n, Clay); familiarity with Salesforce data model and CRM integration; comfort working with APIs and data integration tools.
Role context
GTM Engineers on Revenue Operations teams at scaled SaaS companies build the AI-powered systems and automated data flows that power go-to-market motion at scale. At Airtable, this role uses the company’s own product to build infrastructure powering Airtable’s sales process — automating manual workflows from lead enrichment through pipeline hygiene using LLMs, no-code platforms, and custom integrations. The position requires equal fluency in workflow automation tools (Zapier, n8n, Clay) and AI tooling (Claude, ChatGPT, Gemini) plus comfort with the GTM stack (Salesforce, Databricks, Gong, Outreach). Compensation: $191,000 base plus equity. Hybrid 2-3 days per week in SF or NYC.
Quick facts
Frequently Asked Questions
How does a GTM Engineer differ from a Revenue Operations Analyst?
Revenue Operations Analysts focus on reporting, forecasting, and process management — primarily analytical work in Salesforce, BI tools, and spreadsheets. GTM Engineers focus on building automation and integration — shipping code, workflows, and AI tooling that operate the GTM motion at scale. The Engineer role requires more technical depth (APIs, data engineering, LLM integration) and ship-mentality.
Is this role considered Engineering or Revenue Operations at Airtable?
Reports into Revenue Operations but works closely with Engineering and Data teams. Title 'Engineer' reflects the technical depth required — building, not just configuring. Compensation reflects technical IC pay banding ($191K) closer to Software Engineer than RevOps Analyst ranges. Career progression typically into Senior GTM Engineer, Manager of GTM Engineering, or pivots into Platform Engineering.
What AI tooling experience is expected for the LLM-powered automation work?
Hands-on experience with LLM APIs (Claude, ChatGPT, Gemini) building production workflows — not just prompt engineering, but designing reliable agentic systems with error handling, evaluation, and observability. Familiarity with frameworks like LangChain, LlamaIndex, or direct API orchestration is expected. The role specifically calls out 'staying at the frontier of AI-native GTM tooling.'