GTM Engineer

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Not verified

Salary

Not verified not verified - source not recorded; timestamp not recorded

401(k) match

Not verified

Was this benefit information wrong? Tell us.

Market context

Median wage (BLS OEWS)

$116,543 national median

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

89% above the BLS national median for software engineering aggregate.

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

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

Schedule

Shift type

Not verified

Weekend work

Not verified

Application

Cover letter

Not verified

Assessment

Not verified

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.

Read the full description at job-boards.greenhouse.io. FewerJobs shows a source-linked preview and links to the original posting.