GTM Engineer (SaaS)

TL;DR

GTM Engineer (SaaS): Building and optimizing automated workflows, integrations, and AI-assisted pipelines for the revenue team with an accent on CRM architecture, data orchestration, and API-driven automation. Focus on driving new bookings, improving gross retention, and increasing operational efficiency through scalable, secure, and maintainable technical solutions.

Location: Must be based in Chicago, IL

Company

hirify.global is a PE-backed SaaS company providing a Decision Intelligence Platform that combines decisioning, process automation, and machine learning for global enterprise clients.

What you will do

• Build and maintain integrations and automated workflows to streamline the prospect funnel and buyer journey.
• Develop scalable outbound systems using AI-assisted personalization and intent-triggered touchpoints.
• Automate manual tasks for Customer Success and account management teams to improve capacity and efficiency.
• Design and implement scoring and signal workflows that sync data back to Salesforce.
• Collaborate with IT to ensure all projects adhere to strict security, access, and governance standards.
• Ship maintainable, documented code and iterate based on measurable performance data.

Requirements

• Must be based in Chicago, IL
• Strong proficiency in API/REST integrations and scripting with Python or JavaScript.
• Deep experience building and configuring in Salesforce or HubSpot, including permission and security models.
• Proven experience building LLM-driven workflows and agentic AI applications.
• Experience with data orchestration and enrichment platforms like Clay, ZoomInfo, or Hightouch.
• Ability to partner with IT on security, OAuth scopes, and access governance.

Nice to have

• Experience with SQL or BI tools for funnel analysis and pipeline leak detection.
• Familiarity with deal-room automation tools.

Culture & Benefits

• Competitive compensation and benefits package.
• Flexible work environment.
• Opportunity to build on InRule’s own Decision Intelligence Platform.
• Collaborative, low-ego culture with cross-functional partnership across Engineering and Sales.
• Professional growth opportunities within a scaling SaaS organization.