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Revenue Operations Manager

Posted about 6 hours agoViewed

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💎 Seniority level: Manager, 5+ years

📍 Location: UK

💸 Salary: 95000.0 - 115000.0 GBP per year

🔍 Industry: SaaS

🏢 Company: Sona👥 51-100💰 $27,500,000 Series A 10 months agoProductivity ToolsEmploymentHuman ResourcesAppsEnterprise Software

🗣️ Languages: English

⏳ Experience: 5+ years

🪄 Skills: SQLData AnalysisSalesforceCross-functional Team LeadershipAmplitude AnalyticsTableauBusiness OperationsProduct AnalyticsAPI testingREST APIAnalytical SkillsData visualizationStrategic thinkingProcess improvementCRMFinancial analysisData modelingData analyticsData managementSaaS

Requirements:
  • 5+ years in a Revenue Operations, Sales Ops, or Marketing Ops role within a SaaS (ideally vertical SaaS), enterprise sales environment.
  • Deep understanding of B2B SaaS revenue models, GTM strategy, and enterprise sales cycles.
  • Proven technical expertise with CRM (ideally HubSpot), analytics tools, and sales engagement platforms.
  • Strong data analytics skills—comfortable with dashboards, SQL, or similar tools.
  • Ability to align cross-functional teams and build scalable RevOps processes.
  • Passion for process optimisation, automation, and driving data-led decisions.
  • Strategic thinker who can balance high-level planning with hands-on execution.
Responsibilities:
  • Ensure Marketing, Sales, and Customer Success share common goals (e.g., pipeline conversion, customer lifetime value). Improve collaboration and visibility across teams for seamless lead handoffs.
  • Own and maintain a centralised data repository, integrating CRM (HubSpot), analytics tools, and conversation intelligence platforms (Gong, Trumpet).
  • Manage and optimise our data ecosystem, providing real-time insights that drive smarter decisions. Develop segmentation models to improve targeting and conversion rates.
  • Design and refine lead management, campaign execution, and feedback loops to improve efficiency and alignment between teams.
  • Oversee and enhance our RevOps tech stack (HubSpot, Zoominfo, Gong), automating workflows to boost efficiency and ensure seamless integration.
  • Implement multi-channel attribution models to track revenue contribution across outbound, inbound, events, and paid channels.
  • Track and report marketing’s contribution to revenue, develop forecasting models, and ensure accountability for pipeline performance.
  • Create repeatable playbooks for sales and marketing teams to scale efficiently.
  • Provide insights into churn risks and identify upsell/cross-sell opportunities within the customer base.
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