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Manager, GTM Systems; RevOps

Job in Atlanta, Fulton County, Georgia, 31199, USA
Listing for: FinQuery
Full Time position
Listed on 2026-10-11
Job specializations:
  • IT/Tech
    CRM Systems & Management, Business Systems & Technology Analysis
Job Description & How to Apply Below
Position: Manager, GTM Systems (RevOps)
Atlanta, GARevenue – Sales /Full-time /Hybrid Fin Query  stands at the forefront of accounting automation, driven by a deep specialty in contract-driven accounting. Our AI-enabled platform transforms how controllers and finance teams operate, seamlessly managing and accounting for the complex financial contracts—like leases, prepaids, and accruals—that are the backbone of modern business. We are not just a software provider; we are the unified subledger that eliminates time-intensive, error-prone technical accounting workflows, ensuring financial reports are accurate and empowering our customers to focus on strategic, high-value tasks.

Fin Query is the global leader in lease accounting (as recognized on ) and serve more than 8,700 customers worldwide. Our growth trajectory has been consistently validated by the Inc 5000, which has recognized us as one of the fastest-growing private companies for five consecutive years.

We recently migrated our GTM tech stack from Salesforce to Hub Spot and are looking for a GTM Systems leader to take the architecture from "migrated" to "scaled". This person will own the end-to-end design, governance, and execution of our GTM systems, ensuring the CRM, quoting, and adjacent tooling support the business as we grow. This is a hands-on leadership role where you will set the architecture and roadmap, manage a small team to execute against it, and stay close enough to the system to build and troubleshoot yourself when needed.

Reports To:

Chief of Staff to the CRO / Head of Rev Ops What You'll Do:

Own the GTM systems architecture end-to-end including Hub Spot CRM, CPQ/quoting, and integrations across the GTM stack

Build and maintain a systems roadmap aligned to GTM priorities for pipeline, forecasting, territory/comp changes, and new motions

Define and enforce data governance standards covering object model, field hygiene, and lead-to-cash process integrity

Evaluate and consolidate tooling to reduce redundancy and technical debt post-migration

Translate business requirements from Rev Ops, Sales, and CS leadership into system design and build

Manage a prioritized intake/ticketing process for systems requests while balancing quick fixes against roadmap work

Lead cross-functional projects requiring systems changes such as new product launches, comp plan changes, and process redesigns

Own testing, documentation, and change management for all system releases

Manage and develop 1 FTE and 1 contractor by setting priorities, reviewing work quality, and building growth plans

Establish scalable ways of working including sprint cadence, backlog management, and documentation standards to replace ad hoc processes

Act as the primary escalation point for systems issues affecting revenue-critical processes like quoting, forecasting, and reporting

Partner with Rev Ops, Sales Leadership, Finance, and Legal to ensure systems support deal velocity and accuracy

Partner with IT/Security on data access, compliance, and integration architecture

Support forecasting and pipeline reporting infrastructure in partnership with Rev Ops analytics

What You Bring:

5+ years in Revenue/Sales Operations or GTM Systems with at least 2+ years owning CRM architecture

Deep Hub Spot CRM expertise including object model, workflows, permissions, and pipeline/deal architecture

Hands-on experience with CPQ/quoting tools like Deal Hub or comparable platforms including implementation or major configuration work Experience managing a system migration and understanding what clean migration data actually looks like Proven program and project management skills to run a roadmap, manage competing priorities, and ship on a timeline

Experience managing people in a systems or technical function

Strong SQL or equivalent data fluency…
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