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GTM Systems Engineer

Job in Macon, Bibb County, Georgia, 31201, USA
Listing for: OnPay
Full Time position
Listed on 2026-10-28
Job specializations:
  • IT/Tech
    Business Systems & Technology Analysis, Data Engineering
Salary/Wage Range or Industry Benchmark: 130000 - 150000 USD Yearly USD 130000.00 150000.00 YEAR
Job Description & How to Apply Below
About On Pay

OnPay is a fast-growing software company headquartered in Atlanta, offering a modern cloud-based payroll, HR, and benefits solution for small to midsize businesses. We are currently seeking talented and curious individuals to join our team. We want to hear from you if you are interested in joining an exciting and fast-growing company!

Learn more at

If you're someone who thrives in a fast-moving environment and loves helping businesses succeed, this is the perfect time to join a high-growth SaaS company that is redefining what payroll software should be.

The Role

We're looking for a GTM Systems Engineer to build and optimize the systems, automation, data flows, and technical workflows that power our go-to-market organization.

As a part of the Revenue Operations team reporting to the Director of Revenue Operations & Systems, this role works across Sales, Marketing, Operations, Engineering, and Technology to create efficiencies across the revenue funnel. You'll connect systems and workflows, automate manual processes, improve speed-to-lead, strengthen handoffs and onboarding, and apply AI to make our teams and processes more scalable, intelligent, and effective.

This is a hands-on role for someone who combines technical problem solving with a strong understanding of how modern GTM teams operate.

What You'll Do
  • Design and build scalable GTM systems, workflows, automations, and integrations across the customer lifecycle.
  • Build and optimize inbound lead workflows across enrichment, qualification, scoring, prioritization, routing, engagement, follow-up, and speed-to-lead.
  • Partner closely with Marketing and Sales to connect campaigns, website and product engagement, lead data, and downstream sales workflows, while supporting outbound efforts through scalable prospecting infrastructure and enrichment processes.
  • Serve as the hands-on technical lead for the Hubspot ecosystem, with significant hands-on responsibility for advanced workflows, custom objects, data models, APIs, integrations, and automation.
  • Connect CRM, marketing, sales, and customer success platforms using APIs, webhooks, middleware, and data pipelines, ensuring reliable data flow and scalable processes across systems.
  • Partner with Revenue and pre-sales Operations teams to identify manual processes, friction points, and bottlenecks and build automation that improves efficiency, accuracy, speed, and scalability.
  • Identify and implement opportunities to use AI and agentic workflows across lead qualification, enrichment, routing, research, outreach, rep workflows, onboarding, and operational processes.
  • Build custom applications, scripts, services, and internal tools where native platform capabilities are insufficient, while maintaining strong standards for testing, documentation, monitoring, and governance.
  • Implement and maintain scalable GTM data architecture, including objects, properties, associations, lifecycle stages, in line with and system-of-record and governance standards set by Rev Ops leadership, while troubleshooting complex system, automation, integration, and data issues.
What You Bring
  • Experience in GTM Engineering, Revenue Operations Engineering, Business Systems Engineering, or a similar technical role.
  • Strong experience with Hub Spot or another enterprise CRM, including automation, data modeling, APIs, integrations, and complex workflow design.
  • Experience building and optimizing PLG and SLG workflows, including qualification, enrichment, routing, lifecycle management, speed-to-lead, and outbound support.
  • Proficiency with JavaScript, Python, plus SQL, with experience working across APIs, webhooks, JSON, authentication, and relational data models.
  • Experience with automation, integration, enrichment, or data platforms such…
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