GTM Engineer Job Description Template
Use this template to write a GTM engineer job description that attracts the right candidates. Includes responsibilities, required qualifications, a day-in-the-life breakdown, and compensation guidance.
About the GTM Engineer Role
The GTM engineer is a relatively new role in B2B organizations, and many hiring managers struggle to write an accurate job description. The problem is that the role crosses traditional boundaries — it is not purely engineering, not purely sales, and not purely operations. A poorly written JD will attract the wrong candidates or fail to attract anyone at all.
The template below is designed for a mid-level to senior GTM engineer at a B2B company. Adjust the specifics based on your company size, stage, and the scope of the role. If you are hiring for a specific type of GTM engineering — outbound infrastructure, sales automation, or full-stack revenue operations — narrow the responsibilities and qualifications accordingly.
Before you start hiring, make sure you understand the full skill profile of a GTM engineer so you can evaluate candidates effectively. And understand that compensation expectations for this role reflect the rare combination of skills required.
Job Description Template
Job Title: GTM Engineer
Department: Revenue / Growth / Sales
Reports To: VP of Sales, Head of Growth, or CEO
Location: Remote / Hybrid / [City]
Type: Full-time
Role Summary
We are looking for a GTM Engineer to design, build, and optimize our go-to-market infrastructure. You will own the technical systems that generate pipeline — from data enrichment and lead scoring through outbound sequencing and meeting booking automation. This is a hands-on role where you will architect systems, write integrations, deploy campaigns, and continuously optimize based on data. You will replace the output of a traditional SDR team with engineered systems that scale.
Key Responsibilities
Revenue Infrastructure Design and Build
- -Design and implement the end-to-end GTM infrastructure following the GTM engineering framework
- -Select, configure, and integrate the GTM tech stack — enrichment, sequencing, CRM, orchestration, and analytics tools
- -Build custom integrations using APIs and scripting to connect tools into a unified system
- -Configure CRM for automation-friendly data management including custom objects, fields, and workflows
Outbound Campaign Execution
- -Define and refine ICP using data-driven segmentation and enrichment
- -Build multi-channel outreach sequences (email, LinkedIn, phone) with AI-powered personalization
- -Manage email deliverability including domain configuration, warming, and sender reputation
- -Run continuous A/B tests on messaging, timing, and channel mix
Data and Analytics
- -Build and maintain dashboards tracking GTM engineering metrics at every funnel stage
- -Implement lead scoring models based on firmographic, behavioral, and intent signals
- -Maintain data quality through automated enrichment, deduplication, and validation
- -Report on pipeline generation, cost per meeting, and system ROI to leadership
Continuous Optimization
- -Follow the GTM engineering process for ongoing optimization cycles
- -Identify and resolve bottlenecks in the revenue funnel using data analysis
- -Evaluate new tools and technologies for potential integration into the stack
- -Document all systems, processes, and workflows for team knowledge transfer
Required Qualifications
- -3+ years of experience in a revenue-facing technical role (GTM engineering, sales engineering, marketing operations, or revenue operations)
- -Proficiency in at least one scripting language (Python, JavaScript) for API integration and automation
- -Hands-on experience with CRM platforms (Salesforce, HubSpot) including custom configuration and automation
- -Experience with sales engagement platforms and email infrastructure (deliverability, authentication, warming)
- -Demonstrated ability to build outbound campaigns that generate qualified pipeline
- -Strong analytical skills with experience building dashboards and interpreting funnel metrics
- -Understanding of B2B sales processes, buyer journeys, and account-based strategies
Preferred Qualifications
- -Experience with AI and LLM APIs for content personalization and lead scoring
- -Background in data engineering or data science
- -Experience building GTM infrastructure for B2B SaaS companies
- -Familiarity with middleware platforms (Zapier, Make, Tray.io) and custom integration development
- -Experience at a startup or growth-stage company where you built systems from scratch
A Day in the Life of a GTM Engineer
Understanding what a typical day looks like helps candidates self-select and helps interviewers calibrate expectations. Here is a realistic day-in-the-life for a GTM engineer at a growth-stage B2B company:
8:00 AM — Morning Dashboard Review
Check overnight campaign performance: deliverability rates, replies received, meetings booked. Flag any anomalies — a sudden drop in open rates or a spike in bounces requires immediate investigation. Review the day's queue of warm replies that need follow-up categorization.
9:00 AM — System Optimization
Analyze A/B test results from current experiments. One subject line variant has a 12% higher open rate — promote it to default and launch a new test. A sequence targeting mid-market CFOs has low reply rates; investigate whether it is a targeting or messaging issue by cross-referencing with enrichment data.
10:30 AM — Technical Build
Build a new integration between the intent data provider and the sequencing platform. When a target account shows high intent signals, automatically enroll the right contacts in a high-priority sequence. Write the API integration, test with sample data, and deploy to production.
12:00 PM — Cross-Team Sync
Meet with the sales team to review pipeline quality. Discuss which meetings converted to opportunities and which did not — this feedback refines targeting and qualification criteria. Align on upcoming campaigns targeting a new segment the sales team identified.
1:30 PM — Campaign Build
Build a new outbound campaign for the segment discussed in the sync. Pull a list from the enrichment platform, apply scoring criteria, write personalized messaging using AI tools, and configure the multi-channel sequence. Set up tracking and connect to the CRM for attribution.
3:30 PM — Data Quality and Automation
Run weekly data quality checks: identify stale records, fix data inconsistencies, and re-enrich contacts that have changed roles. Review automation logs for errors and fix any workflows that failed overnight. Update documentation for a new workflow deployed last week.
5:00 PM — Reporting and Planning
Update the weekly metrics report. Prepare the optimization plan for next week — which experiments to run, which systems to improve, which new capabilities to build. Queue up test campaigns for overnight deployment.
Compensation Guidance
GTM engineer compensation reflects the rare combination of skills required. Expect these ranges for US-based full-time roles:
| Level | Base Salary | Total Comp (with equity/bonus) |
|---|---|---|
| Junior (1-3 years) | $90K - $130K | $100K - $160K |
| Mid (3-5 years) | $130K - $180K | $160K - $230K |
| Senior (5+ years) | $180K - $250K | $220K - $350K+ |
If full-time compensation exceeds your budget, consider a fractional GTM engineer at $5,000 to $15,000 per month — you get senior-level expertise at a fraction of the full-time cost.
Skip the Hiring Process — Get GTM Engineering Now
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