Senior Revenue Operations Manager; F​/M​/D

Senior Revenue Operations Manager (F/M/D) THE OPPORTUNITY

Are you ready to own the full revenue picture at Nav Vis,redefine how AI shapes the way we growand drives excellence in revenue operations?

We are looking for a Revenue Operations Manager whohasdeep expertise in B2B go-to-market operations, a passion for translating data into strategic decisionsanda forward-looking mindset on how AI is transforming the way revenueorganizationsoperate.

You will be the connective tissue across Marketing, Sales, Customer Success, Finance and Operations building the reporting infrastructure, forecasting modelsandcross-functional visibility that leadership needs to manage and grow

NavVis'srecurring revenue base with confidence. But beyond building the infrastructure of today, you will be the person who actively shapes what tomorrow looks like: identifying where AI-driven solutions can replace manual effort, improve the quality of revenue signals and make our go-to-market engine smarter and faster.

You will work togetherwith our existing Sales Operations experts, while forging a strong operational bridge to Finance and Operations.

• Own end-to-end revenue forecasting, building and maintaining models that give leadership a reliable forward-looking view of ARR development, net revenue retention (NRR) and gross revenue retention (GRR) across EMEA and the US.
• Design and deliver full-funnel revenue performance reporting, from upper-funnel marketing KPIs (leads, MQLs, campaign contribution to revenue) through to recognized revenue, renewals and customer expansion, ensuring every stage of the revenue lifecycle is visible and actionable.
• Track and analyze existing customer revenue performance in close collaboration with Customer Success, monitoring NRR, expansion revenue and churn risk as integral components of the overall revenue health picture.
• Serve as a critical interface to Finance and Operations translating revenue data into the inputs Finance needs for planning and reporting cycles and aligning with Operations on the process infrastructure that underpins revenue delivery.
• Actively contribute to Nav Vis's company-wide OKRs tied to the transformation towards an ARR- and revenue-focused business model, translating strategic growth initiatives into operational metrics, reporting structures and cross-functional processes that make the transformation measurable and accountable.
• Collaborate closely with Nav Vis's Sales Operations experts, building on their deep sales process knowledge to extend visibility upstream into marketing and downstream into customer revenue, without duplicating what Sales Ops already owns.
• Actively explore and embed AI-powered solutions into revenue processes from revenue forecasting and lead scoring to automated reporting and workflow optimization to help us scale without adding manual overhead.

• Proven experience in Revenue Operations or a similar cross-functional go-to-market operations role in a B2B technology environment, ideally with exposure to SaaS or recurring revenue business models.
• Fluency in recurring revenue metrics like ARR, NRR, GRR, LTV, CAC payback and the ability to connect these to operational levers across Marketing, Sales and CS.
• Strong analytical skills with tools like Excel, Power BI, or CRM reporting.
• Experience working at the interface of Revenue and Finance, contributing to planning cycles, revenue recognition inputs, or board-level reporting.
• Genuine hands-on experience with AI tools applied to revenue or business processes whether AI forecasting models, automation platforms, CRM AI features, or purpose-built agents; you understand not just the potential but the practical constraints of deploying AI in an operational context.
• Experience building revenue forecasting models or working with BI platforms is a strong plus.
• Exposure to a company undergoing a transition towards recurring revenue or ARR-based models where you have helped operationalize that shift is a strong plus.
• A curiosity and drive to continuously identify where AI can eliminate low-value manual work and improve the quality of revenue signals. You do not wait to be asked; you bring the ideas.
• A structured mindset and strong communication skills to align diverse stakeholders from Sales Ops colleagues to Sales and Finance leadership.
• Based in Munich or able to commute to our Munich office at regular base.
• Fluent English is required as our working language.

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