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GTM Engineer

Airtable - San Francisco, CA; New York, NY

Posted May 15, 2026

Benefits

Parental leave
Not verified
Non-birth-parent leave
Not verified not verified - source URL not recorded; timestamp not recorded
Family-building benefits
  • Fertility benefits: Not verified
  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
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Relocation assistance
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Childcare support
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Learning budget
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Verification
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Salary
$191K-$249K From the posting source checked Jun 20, 2026
401(k) match
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Market context

U.S. role benchmark (BLS OEWS)
$93,011 U.S. median for this role
Projected growth (BLS Employment Projections)
+5.1% - Faster than average

137% above the BLS role benchmark for marketing aggregate.

Matched to SOC 13-1161 - Marketing aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function
Marketing From the posting source checked Jun 20, 2026
Seniority
Mid From the posting source checked Jun 20, 2026

Schedule

Shift type
Not verified
Weekend work
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Company

Equity
Offered From the posting source checked Jun 20, 2026

Application

Cover letter
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Assessment
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Deadline
Not stated

Where they hire

State eligibility is not yet verified.

About this role

GTM Engineer San Francisco, CA; New York, NY 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.

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