ironquill.tech/board

$ cat jobs/head-of-revenue-operations-revops-huzzle-20109825abbc.json

Head of Revenue Operations / RevOps

huzzle·Worldwide·South Africa·mid
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About Huzzle At Huzzle , we connect exceptional B2B professionals with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and EdTech. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. About the Company This opportunity is with a fast-growing AI-powered Go-To-Market (GTM) systems company focused on helping modern revenue teams scale efficiently. The company builds automation-driven revenue engines that turn market signals into qualified pipeline. Their infrastructure combines AI agents, workflow automation, outbound platforms, and CRM architecture to help growth-stage companies ($1M–$100M+ ARR) build systematic competitive advantages without scaling headcount. Job Type: Full-time Location: Remote Engagement: Independent Contract Job Summary This Head of Revenue Operations (RevOps) role owns the architecture, analytics, and automation infrastructure behind a high-performing revenue engine. The role has a dual mandate : Internal RevOps Leadership Designing and running the company’s revenue operations stack, including CRM architecture, pipeline reporting, integrations, and revenue analytics. Client-Facing RevOps Delivery Leading RevOps-as-a-service engagements for external clients—auditing CRM systems, implementing infrastructure, and delivering actionable revenue insights. This is initially an individual contributor role that evolves into building and leading a RevOps team over the next 6–12 months. You’ll work directly with GTM leadership and the founder to turn operational data into decisions. Key Responsibilities CRM Architecture & Data Integrity Own the HubSpot CRM architecture end-to-end (pipelines, lifecycle stages, custom properties, workflows, reporting). Design and enforce the revenue data model across systems. Maintain data quality st