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# RevOps Engineer

- **Company:** GRIDLINE, LLC
- **Location:** Atlanta, GA, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $125,000.0 - $150,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Software as a Service, Interoperability, Systems Integration, AI Platforms, Hubspot
- **Published:** May 15, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=2061fb798da03358

## About the Role

Do you have experience in SaaS?, Do you have a Bachelor's degree?, * Experience: At least 4 years in RevOps, Marketing Operations, Growth Operations, or CRM Management with experience building sophisticated automation systems in B2B SaaS environments (Fintech is ideal but not required).

 * Hard Skills: Mastery of AI platforms (Anthropic/Claude, Gemini, etc.), CRM platforms (ideally HubSpot), and workflow logic (integrations, tooling, APIs, attribution systems etc.).
 * Prior Marketing Experience: Experience with Lifecycle Marketing is ideal.
 * Education: Ideally a bachelor's or equivalent in related field.
 * Location: Based in Atlanta, GA (Hybrid) or the New York Metro Area (100% Remote).

## Description

* Build an AI-Native GTM Engine: Design and manage the automation infrastructure that powers Gridline's customer acquisition and lifecycle engagement strategies including intelligent workflows, behavioral segmentation, lead scoring models, and AI-assisted outreach systems directly within HubSpot and adjacent tooling.
 * Operationalize Data into Revenue Intelligence: Transform fragmented CRM, marketing, product usage, and engagement data into actionable insights including building the systems that allow Gridline to understand buyer intent, campaign performance, pipeline health, and customer behavior at scale.
 * Architect Lifecycle Automation: Develop end-to-end lifecycle programs across onboarding, nurture, expansion, retention, and re-engagement including createing adaptive journeys that evolve based on user behavior, firmographics, engagement signals, and product interactions.
 * Deploy AI Across Marketing Operations: Leverage AI tooling across content generation, campaign optimization, lead enrichment, workflow automation, reporting, and personalization.
 * Build the GTM Systems Layer: Own CRM architecture, lead routing, attribution logic, integrations, enrichment workflows, and marketing operations infrastructure to ensure data quality, system interoperability, and operational scalability across the organization.
 * Optimize Funnel Performance: Run continuous experimentation across messaging, segmentation, campaigns, and conversion paths using AI-assisted analytics and testing to identify bottlenecks and improve pipeline velocity.
 * Partner Cross-Functionally: Act as the connective tissue between Marketing, Sales, Product, and Operations.
 * Build Reporting & Forecasting Infrastructure: Develop dashboards, attribution models, forecasting frameworks, and executive reporting systems that provide visibility into growth performance and operational health.


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