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AI-Enabled Revenue Operations Specialist

NavVis • Germany
Visa Sponsorship Relocation
This Job is No Longer Active This position is no longer accepting applications

This role is central to building an AI-powered operational intelligence engine for B2B revenue teams. It involves owning revenue insights & reporting, workflow design & optimization, and GTM intelligence from conversational & behavioral data. Requires 3-5 years of B2B tech/SaaS ops experience or a commercial background with AI skills, CRM proficiency, and technical fluency.

Key Highlights
Build an AI-enhanced operational intelligence engine for B2B revenue teams.
Own revenue insights, workflow optimization, and GTM intelligence using AI and conversational data.
Requires strong B2B revenue funnel understanding, CRM experience, and AI tool proficiency.
Key Responsibilities
Build and continuously improve funnel reporting across BDS, AE, and CSM stages, surfacing conversion rates, pipeline velocity, stage duration, and drop-off patterns that prompt action.
Prepare and automate QBR reporting packages that synthesize performance data, trends, and forward-looking indicators into narratives leadership can act on.
Create revenue and bookings reports that connect pipeline activity to financial outcomes, supporting forecasting accuracy and resource allocation decisions.
Use AI to accelerate insight generation — from automating data pulls and trend detection to generating draft narratives and anomaly alerts.
Map, diagnose, and redesign the end-to-end lead-to-opportunity handover process between BDS and AE teams, eliminating information loss and reducing time-to-first-action.
Design the deal-to-customer transition workflow from AE to CSM, ensuring account context, commitments, and expansion signals transfer cleanly into the post-sale motion.
Build strategic account insight packages — AI-assisted briefs that combine CRM data, interaction history, usage patterns, and external signals into a single, actionable view for account teams.
Collaborate with adjacent teams (Marketing, Customer Support) where workflows intersect, while keeping the primary focus on the BDS → AE → CSM spine.
Leverage conversation intelligence tools to identify patterns in buyer objections, competitive mentions, feature requests, and messaging effectiveness, broken down by industry, segment, or deal stage.
Combine conversational insights with product usage and behavioral data to identify which customer segments engage most deeply, where adoption stalls, and what signals predict expansion or churn.
Translate these findings into concrete GTM directives — informing positioning, campaign targeting, sales plays, and customer success interventions with evidence rather than intuition.
Continuously evaluate and adopt AI tools and methods that create leverage for the Revenue Operations function and the broader revenue organization.
Document solutions, workflows, and methodologies so they are maintainable and scalable beyond yourself.
Act as a thought partner to revenue team leaders — translating their operational pain points into structured problems, and structured problems into working solutions.
Technical Skills Required
Revenue Operations CRM Systems AI Tools
Benefits & Perks
30 days of paid time off per year
Affordable access to fitness and wellness facilities
Deutschlandticket subsidy
Flexible working hours and hybrid work setup
Full visa and relocation support for international candidates
Attractive bike leasing model
Competitive compensation package
Up to 4000 EUR employee referral bonus
Financial support for local language classes
Nice to Have
Experience building agentic or automated AI workflows (e.g. multi-step prompts, API-connected AI pipelines, AI-driven alerting systems).
Familiarity with integration and automation platforms (Zapier, Make, or similar) to connect systems across the revenue tech stack.
Exposure to conversation intelligence tools (Fathom, Gong, Chorus, or similar) and extracting actionable patterns from interaction data.
Experience working in a company scaling from mid-market to enterprise, where processes need to be built rather than inherited.

Job Description

The way B2B revenue teams operate is fundamentally reshaped by AI and most organizations haven't caught up yet. The ones that move now won't just be more efficient; they'll see things their competitors can't see, act on signals others miss, and compound that advantage quarter after quarter.We're building a Revenue Operations function designed for this moment. Not a back-office reporting team, but an operational intelligence engine that sits at the heart of how we generate, convert, and grow revenue. This role is central to that ambition.As our AI-Enabled Revenue Operations Specialist, you will own three interconnected missions:
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