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Revenue Operations GTM Engineer

Avepoint Inc - Chicago, IL, United States

Posted Apr 16, 2026

Benefits

Parental leave
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Non-birth-parent leave
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Family-building benefits
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Not verified last checked Jun 13, 2026
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401(k) match
Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.

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About this role

Revenue Operations GTM Engineer Chicago, IL, United States Overview: AvePoint is hiring a Revenue Operations GTM Engineer to design and build the underlying technical infrastructure that powers our revenue engine across departments, including Sales, Marketing, Product, and Customer Success. This role sits within Revenue Operations (RevOps) and treats Go-To-Market execution as an engineered system - not a manual process. You will architect the automation layer that connects our CRM, marketing platforms, product telemetry, support systems, and financial workflows into a scalable, real-time operating environment. Your mandate is to: - Maximize revenue impact from CRM data and workflows - Reduce human-dependent workflows - Reduce latency between signal → action in the revenue funnel - Operationalize GTM strategy through automation, orchestration, and AI You will partner across departments and the RevOps functions to translate business strategy into production-ready workflows, data models, and integrations across the GTM tech stack. Key Responsibilities: - Design & Implement GTM Automation: Build and maintain scalable, end-to-end workflows across CRM (Dynamics 365), marketing, customer experience, and financial systems to streamline lead-to-cash and renewal-to-expansion processes. - Integrate Revenue Systems: Develop API-based integrations across the GTM tech stack to unify account, engagement, pipeline, and product usage data into a realtime operating environment. - Operationalize GTM Strategy: Translate segmentation, routing, scoring, and lifecycle management frameworks into automated system logic that reduces manual intervention and execution latency. - Enable AI-Driven Execution: Deploy enrichment pipelines and intent- or usage-based triggers to improve data quality, pipeline prioritization, and next-best-action workflows. Key Skills: - Technical:

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