RevOps Manager

Revops ManagerDreamdata is the industry leader in B2B marketing attribution and activation. We're on a mission to help B2B marketing leaders finally connect their efforts directly to real revenue - solving a complex problem that has plagued the industry for years.It's working. We have achieved strong product-market fit and are experiencing explosive, triple-digit YoY growth. This momentum is now backed by a recent Series B funding round set to fuel our rocketship as we scale globally.We're now scaling our GTM engine and are looking for a hands-on RevOps Manager to help us build reliable, scalable revenue systems across Sales, Marketing, SDR, and Customer Success functions.This is a hands-on Revenue Operations role with a strong technical focus on systems architecture, automation, and integrations. The role requires ownership of core GTM systems and building scalable workflows across the stack. If you are motivated by leveraging AI to design, integrate, and extend internal tools, this is an opportunity to help shape the next generation of our internal platform and data infrastructure.You'll report directly to the COO, with day-to-day priorities and operational guidance coming from the Senior Revenue Operations Manager. You'll partner with stakeholders across Marketing, Sales, and Customer Success to ensure our GTM systems are clean, automated, and dependable as the company scales.Key Responsibilities:Own HubSpot administration including objects, properties, lifecycle stages, workflows, permissions, and routing logicDesign, build, and maintain Zapier/n8n automations, including multi-step workflows, error handling, and monitoringWork with routing and round-robin logic based on segment, geography, and SLA requirementsSupport SDR outbound workflows through system design and automationMaintain data hygiene across GTM systems (deduplication, enrichment, validation)Own and monitor integrations across GTM tools, ensuring sync reliability and fast issue resolutionPartner closely with RevOps, Sales, Marketing, Finance, and CS to translate GTM needs into scalable system solutions