Senior Revenue Operations Specialist

Responsibilities

• Own and maintain pipeline reporting, forecast cadences, and revenue dashboards in Salesforce.
• Partner with Sales, Marketing, and Customer Success leadership to provide visibility into funnel performance and conversion trends.
• Flag risks and opportunities early, with data to back it up.
• Identify friction in the go-to-market motion and drive operational improvements across the full revenue cycle — from lead to renewal.
• Manage and optimise the revenue tech stack e.g. SFDC, Gong, HubSpot, Looker, and Highspot, ensuring data integrity and adoption.
• Explore and embed AI-powered tools into the revenue tech stack — from predictive forecasting and deal scoring to automated reporting — helping the team spend less time pulling data and more time acting on it.
• Document and enforce consistent processes across go-to-market teams.
• Build and maintain reporting frameworks that help leaders make faster, better decisions.
• Support territory planning, quota setting, and capacity modelling in collaboration with Finance and Sales leadership.
• Drive adoption of dashboards and self-serve reporting across commercial teams.
• Act as the connective tissue between Sales, Marketing, Customer Success, and Finance.
• Support go-to-market planning cycles, including annual planning and QBRs.
• Bring a continuous improvement mindset to everything — if something can work better, say so.

Requirements

• 5+ years of experience in Revenue Operations, Sales Operations, or a related go-to-market function — ideally within a B2B SaaS environment.
• Strong command of CRM platforms and revenue tooling; you know how to get clean data out of messy systems.
• Analytical and comfortable working with large datasets — whether that's in Excel, Sheets, BI tools, or SQL.
• Familiarity with AI-assisted revenue tools and a genuine curiosity about how AI is changing the way go-to-market teams operate.
• A process-first mindset: you don't just identify problems, you build the fix.
• Clear communicator who can translate data into narratives that resonate with non-technical stakeholders.
• Self-directed and able to prioritise in a fast-moving, high-growth environment.
• Fluent in English, and French or another language is a plus.