_GTM Engineering
Stop doing what _software can do.
GTM Engineering is the new way modern companies scale revenue without hiring 50 sales and ops people. We build the systems that find buyers, enrich their data, reach out automatically, and connect every tool you use, so your team stops copy-pasting between tabs.
What is GTM _Engineering?
GTM Engineering is the emerging discipline of using software engineering, automation, and AI to scale revenue systems without proportional headcount growth. The role is the fastest-growing hybrid in B2B: job postings tripled in 2025, going from roughly 1,400 in mid-2025 to over 3,000 by January 2026, with salaries in the US ranging from $132K to $241K.
In practice it means: signal tracking that detects who is ready to buy, data enrichment that fills in everything you need to know about a lead, automated outbound that feels personal because AI writes each touch, and operational integrations that connect your CRM, e-commerce, accounting, and inventory tools so nobody copies data between tabs anymore.
Most SMBs cannot justify hiring a full-time GTM Engineer at $200K plus. We give you the same capability as a fractional service.
What we build as your _GTM Engineer
Signal tracking and intent monitoring
Spot who is ready to buy. Funding rounds, hiring signals, tech stack changes, site visits, social signals.
Data enrichment workflows
Clay, Apollo, HubSpot. Waterfalls across providers so you find an email when one provider does not have it.
AI-personalized outbound
Sequences that read like a human wrote each one because an LLM did, grounded in real research about the prospect.
Multi-system integrations
Shopify, inventory, accounting, ERP, CRM. Orders flow automatically. Your team stops moving data by hand.
WhatsApp and Telegram bots
Lead capture, support, notifications. Two-way bots that route messages to the right team.
Custom dashboards and reporting
Pipeline visibility built on real data, not the default views your tools shipped with.
_Pricing
Project-based for one-off builds, or Technical Partner retainer for ongoing work.
_Project-based
Custom
Fixed scope, fixed price. Typically $1.5K to $15K depending on the build.
_Most clients
$5-8K/mo
Technical Partner. 80 hours/month of GTM Engineering plus strategy.
Tell us what's _slowing you down
Manual workflows, lost leads, lost hours. We will tell you if it is worth fixing and how.
_Common questions
What is GTM Engineering?
GTM Engineering is the emerging discipline of using software engineering, automation, and AI to scale revenue systems without hiring a proportional number of sales, marketing, or operations people. GTM Engineers build the data pipelines, signal tracking, automated outreach, and integrations that let small revenue teams perform like much larger ones.
How fast is GTM Engineering growing?
Job postings tripled in 2025, going from roughly 1,400 in mid-2025 to over 3,000 by January 2026. Salaries in the US range from $132K to $241K. The role is in highest demand at high-growth B2B SaaS companies, public enterprise software firms modernizing legacy systems, and AI-first companies building from scratch.
How is this different from RevOps or Marketing Operations?
Traditional RevOps and MarketingOps focus on processes, reporting, and tool administration. GTM Engineering layers in software engineering thinking and AI as core infrastructure: building custom workflows, programmatic data enrichment, AI-driven personalization at scale, and event-driven automation. It is RevOps with code.
Why hire a fractional GTM Engineer instead of a full-time one?
Most SMBs and early-stage companies cannot justify a $132-241K full-time hire, plus the 6 to 12 months it takes to find and onboard one. A fractional engagement at $5-8K per month gives you immediate access to the same skills with no hiring cycle, no equity, and month-to-month flexibility.
What tools do you work with?
Clay, Apollo, HubSpot, Salesforce, Smartlead, Instantly, Lemlist for the GTM stack. WhatsApp (Baileys), Telegram, Slack for messaging automation. n8n, Zapier, and custom Node.js for the integration layer. OpenAI, Claude, and Gemini for the AI components. We pick tools based on your specific stack, not partner kickbacks.