AI-Enabled Revenue Operations Specialist (F/M/D)
THE OPPORTUNITY 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: Revenue Insights & Reporting: Build AI-enhanced analytics across the full funnel — pipeline health, conversion dynamics, QBR narratives, revenue forecasting — turning fragmented data into decisions that leadership and frontline teams act on weekly, not quarterly. Workflow Design & Optimization: Redesign how our revenue teams actually work together — from lead-to-opportunity handover (BDS to AE), to deal-to-customer transition (AE to CSM), to strategic account intelligence and action. Eliminate the friction and information loss that slow deals down and erode customer experience. GTM Intelligence from Conversational & Behavioral Data: Analyze insights from customer and sales conversations (via conversation intelligence tools) and product usage patterns to surface what resonates by industry, customer segment, or buyer persona — and translate those patterns into actionable directives for GTM strategy, sales plays, and campaigns. This is not a data engineering role and not a traditional reporting seat. Your primary job is to understand business problems across the end-to-end revenue lifecycle — where leads stall, where handovers lose context, where customer signals go unnoticed — and then build practical, AI-powered solutions that give our revenue teams an unfair advantage. HOW YOU WILL MAKE AN IMPACT Revenue Insights & Reporting 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, not just observation. 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 that would otherwise take days of manual analysis. Workflow Design & Optimization Map, dia...