Airtable
SaaS
GTMEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“GTM Engineer at Airtable. Skills: GTM engineering, AI and automation, workflow automation, LLM integration, data flow management. Build and Automate GTM Workflows. Automate manual GTM processes 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”
What You'll Achieve.
ship solutions that actually stick; make this scale; route intelligence to the right reps at the right time; make it dramatically better; build systems that matter, not just execute a playbook; Your work will directly enable the GTM team to scale without proportional headcount growth
Industry & Context.
thinks like a product owner about the systems they create; always asking 'how do we make this scale?' rather than 'how do we make this work once?'; Think in terms of 'signal → insight → action'; not just closing tickets, but asking whether the right problems are being solved in the right way
What They're Looking For.
Must Have
3-5 years of experience in GTM engineering, revenue technology, data engineering, or a closely related technical domain, Hands-on experience with workflow automation platforms (Zapier, n8n, Clay, or similar), Familiarity with Salesforce, Experience connecting systems via APIs, Comfort working with data integration tools, Deep understanding of sales, marketing, and revenue processes, Experience with enrichment or outbound tooling (e. g. , Clay, Apollo, or similar), Comfort across the modern GTM stack, Follow the AI space closely, Built workflows with LLMs (Claude, ChatGPT, Gemini)
Nice to Have
Experience with Databricks or other data warehouses (Snowflake, BigQuery), Familiarity with Hightouch (reverse ETL) or Fivetran (data pipelines), Background in software engineering, data engineering, or a technical IC role, Basic scripting in Python or JavaScript for custom workflow logic, Experience using Airtable as an operational platform or data layer, Prior experience in a high-growth or startup environment building foundational systems from scratch
What You'll Do.
Build and Automate GTM Workflows
Automate manual GTM processes end-to-end
from lead enrichment and account research to pipeline hygiene and outbound sequencing
no-code/low-code tools
and custom integrations
Build event-driven automation across the GTM stack using Airtable
Develop AI-Powered Systems
Leverage LLMs (Claude
Gemini) to build intelligent automations for outbound
and internal workflows
Connect and Maintain GTM Data Flows
reliable data moving between core GTM systems — Salesforce
and downstream platforms like Gong and Outreach
Use Hightouch and Fivetran to operationalize warehouse data across the GTM stack
How You'll Work.
Team & Collaboration
Partner with Sales, Marketing, and RevOps to understand how work actually gets done, then build tools that make it dramatically better; Document and maintain your systems so the team can build on top of them, not around them
Full Job Description
Airtable is the no-code app platform that empowers people closest to the work to accelerate their most critical business processes. More than 500,000 organizations, including 80% of the Fortune 100, rely on Airtable to transform how work gets done. Our Revenue Operations team is building the systems and data infrastructure that power Airtable's go-to-market motion — and we use our own product to do it. We're looking for a GTM Engineer who loves to build: someone who gets genuinely excited about what's possible with AI and automation, thinks like a product owner about the systems they create, and has the technical chops to ship solutions that actually stick. What you'll do Build and Automate GTM Workflows Automate manual GTM processes 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. Build event-driven automation across the GTM stack using Airtable, Clay, Zapier, n8n, and similar tools, always asking "how do we make this scale?" rather than "how do we make this work once?" Develop AI-Powered Systems Leverage LLMs (Claude, ChatGPT, Gemini) to build intelligent automations for outbound, enrichment, account research, and internal workflows. Think in terms of "signal → insight → action": ingest intent data, score accounts, and route intelligence to the right reps at the right time. Stay at the frontier of AI-native GTM tooling, experimenting with new models and approaches before they become standard practice. Connect and Maintain GTM Data Flows Keep clean, reliable data moving between core GTM systems — Salesforce, Databricks, enrichment tools, and downstream platforms like Gong and Outreach. Use Hightouch and Fivetran to operationalize warehouse data across the GTM stack. Partner Cross-Functionally Treat the systems you build as products: gather feedback, iterate on what's working, and proactively identify what to build next. Partner with Sales, Marketing,
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