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GTM Engineer at Airtable | AINative.careers

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About Airtable

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.

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, 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.

Who you are

Core Skills

3-5 years of experience in GTM engineering, revenue technology, data engineering, or a closely related technical domain.
Strong bias toward action. You'd rather ship a working prototype and iterate than spec something to death. You're energized by a blank canvas, not intimidated by it.
Hands-on experience with workflow automation platforms (Zapier, n8n, Clay, or similar). You've shipped real automations, not just configured templates.
Familiarity with Salesforce. You understand the data model and have integrated with or automated within the CRM.
Experience connecting systems via APIs and comfort working with data integration tools.

GTM & Tooling

You think like an owner: not just closing tickets, but asking whether the right problems are being solved in the right way.
Deep understanding of sales, marketing, and revenue processes — you know what GTM teams actually need from their systems, not just what they ask for.
Experience with enrichment or outbound tooling (e.g., Clay, Apollo, or similar) and comfort across the modern GTM stack.

AI & Modern Stack

You follow the AI space closely and have already built workflows with LLMs (Claude, ChatGPT, Gemini), not because it was assigned, but because you wanted to see what was possible.
You get excited when a new tool, model, or integration drops, and you've probably already tested it before someone suggests it in a team meeting.
A "signal → insight → action" mindset and genuine appetite for experimentation with AI-native GTM tooling.

Bonus Points

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.

Why Airtable

Greenfield ownership, wide latitude to make real decisions and build systems that matter, not just execute a playbook.
Massive leverage. Your work will directly enable the GTM team to scale without proportional headcount growth.
AI tooling as a first-class part of your day-to-day, not a side project.
Competitive compensation, equity, and benefits at one of the most dynamic companies in the modern work category.

Compensation

For work locations in the San Francisco Bay Area, Seattle, New York City, and Los Angeles, the base salary range for this role is: $191,000 — $249,300 USD