Senior Revenue Operations Specialist
Germany4d ago
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Skills
About the role
The role and the team
As a Senior Revenue Operations Specialist (all genders), you lead and drive Lucanet's revenue operations end to end: from data and analytics to systems and processes. You design automations in Salesforce, HubSpot, and Clay, build AI-powered enrichment and routing, and turn funnel and pipeline data into insights that shape decisions up to Board level.
You report into the Revenue Technology & GTM Engineering team within Revenue Architecture & Operations and act as the glue between Revenue Intelligence, Revenue Technology, and GTM Strategy. You partner with Marketing, Sales, Professional Services, Customer Excellence, and Finance, work directly with VP-level stakeholders on our highest-priority revenue initiatives, and work remotely from Germany. We look for people who keep growing, take real ownership, and lift the people around them.
What you'll do
- Design and implement automated workflows in Salesforce, HubSpot, and Clay that remove manual work and improve data quality.
- Build AI-powered data enrichment and automation for lead scoring, account research, and routing.
- Lead deep-dive analysis on funnel performance, pipeline conversion, campaign ROI, and revenue drivers.
- Own tool implementations, integrations between core revenue technologies, and data quality governance across revenue systems.
- Map and optimize end-to-end revenue processes, leading cross-functional workshops to improve handoffs from lead to expansion.
- Drive high-priority initiatives across Revenue Intelligence, Technology, and Strategy, and lead VP-level and executive requests.
- Deliver Board-level reporting, QBR insights, and forecasting models together with Finance and GTM leadership.
What you bring
You have:
- A track record of owning RevOps, Sales Ops, or Marketing Ops initiatives end to end, from data model to system setup to process rollout.
- Hands-on experience building scalable automations and workflows in Salesforce and/or HubSpot that measurably reduced manual effort.
- Experience using data enrichment tools such as Clay to improve data quality or pipeline generation.
- Working knowledge of SQL and data pipelines or warehouses, and of building dashboards in Tableau, Power BI, Looker, or similar.
- A history of turning funnel, pipeline, and forecasting data into recommendations that executives acted on, in a B2B SaaS environment.
- Fluent English, written and spoken.
It's a plus if you also have: