2 days ago

GTM Automation Engineer

Enzo

Hybrid
Full Time
$140,000
Hybrid

Job Overview

Job TitleGTM Automation Engineer
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$140,000
LocationHybrid

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Job Description

Introduction

We’re hiring a GTM Automation Engineer / System Architect who is technically scrappy, deeply understands the Sales and Marketing engine, and is excited to use modern AI-assisted coding tools (Claude Code, Cursor, Replit) to build custom, high-impact solutions.

In this role, you’ll partner closely with GTM leadership and Operations to embed business context into systems and workflows. You’ll serve as the technical architect behind our AI-driven GTM motion—building agents that research prospects, automations that streamline customer touchpoints, and internal tools that dramatically improve sales productivity.

Who You Are

  • A Scrappy Builder: You don’t wait for perfect requirements. You identify problems, choose the right tool (code vs. no-code), and ship solutions quickly.

  • GTM Fluent: You understand the language of revenue—MQLs, pipelines, CRM pain, and why sales reps hate manual data entry.

  • AI-Native: You use AI coding tools as force multipliers. You’re comfortable writing Python or SQL and know how to leverage AI to move fast without sacrificing quality.

  • Product & UX Minded: You care about usability. You design internal tools and workflows that sales teams will actually adopt without extensive training.

  • High Ownership: You thrive in ambiguity and proactively identify funnel bottlenecks, eliminating them through automation.

What You’ll Do

  • Systematize the GTM Motion: Partner with Sales and Marketing leaders to map workflows and identify high-impact opportunities to replace manual work with automation.

  • Build Hybrid Automations: Design and maintain workflows that blend low-code tools (Zapier, n8n, Retool) with custom scripts (Python, SQL) where flexibility is required.

  • Develop Internal Tools: Use AI-assisted development workflows (Replit, Claude Code, Cursor) to rapidly build and deploy internal web applications such as lead scoring tools or renewal risk dashboards.

  • Orchestrate Data: Ensure reliable, accurate data flows between core systems including Salesforce, HubSpot, Outreach, and Snowflake. Act as the owner of GTM data integrity.

  • Experiment & Iterate: Serve as the experimentation engine for the GTM org—testing AI agents, enrichment tools, and APIs. Scale what works; discard what doesn’t.

Requirements

  • 5+ years of GTM experience in Revenue Operations, Sales Engineering, Business Systems, or a related role supporting B2B SaaS teams.

  • Strong automation background with experience building complex workflows and integrations involving real business logic.

  • Technical versatility: Comfortable reading API documentation, writing SQL, and debugging Python scripts—often with AI assistance.

  • Excellent communication skills: Able to explain technical constraints to GTM leaders and articulate business value to technical stakeholders.

Key skills/competency

  • GTM Strategy
  • Automation
  • Sales Operations
  • Marketing Operations
  • AI Integration
  • Python
  • SQL
  • CRM Systems
  • Data Orchestration
  • Workflow Design

Tags:

GTM Automation Engineer
Sales operations
Marketing automation
Workflow design
Data orchestration
Internal tool development
AI agent building
Funnel optimization
System integration
Prospect research
Python
SQL
Zapier
n8n
Retool
Salesforce
HubSpot
Outreach
Snowflake
Claude Code
Cursor
Replit

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How to Get Hired at Enzo

  • Research Enzo's mission: Understand their vision for AI in GTM, market position, and core values.
  • Highlight automation expertise: Showcase experience with tools like Zapier, n8n, Retool, and custom scripting.
  • Demonstrate AI fluency: Provide specific examples of leveraging AI coding tools like Claude Code, Cursor, or Replit.
  • Emphasize GTM understanding: Clearly articulate knowledge of MQLs, pipelines, CRM pain points, and revenue operations.
  • Prepare for technical deep-dives: Be ready to discuss SQL queries, Python debugging, and API integration challenges.

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