8+ years in revenue operations, sales operations, channel operations, marketing operations, or a related GTM operations role
Experience in both direct and channel/partner business models
Strong analytical skills, data modeling, and ability to translate insights into action
Requirements:
Define and own the revenue operations strategy and multi-year roadmap
Lead efforts to systematize and professionalize GTM operations
Own the full forecasting lifecycle including pipeline reviews and forecast accuracy targets
Serve as the integrator across marketing, demand generation, sales, channel/partner, and post-sales functions
Job description
Role Overview
The Director of Revenue Operations is a strategic, hands-on leader who will embed rigor, accountability, and alignment across AMDT’s go-to-market (GTM) engine. You will define and execute global forecasting motions, enforce process discipline, own revenue systems, and drive tight collaboration between marketing, sales, and post-sales. This role requires someone who not only leads but also rolls up their sleeves — you will “do” as much as you direct.
Your success will be measured by forecast predictability and accuracy, funnel efficiency, cross-functional collaboration, and your ability to deliver scalable systems and processes in parallel with executing on critical initiatives.
Your Tasks
Strategic Leadership & Hands-On Execution
Define and own the revenue operations strategy and multi-year roadmap, in alignment with AMDT’s growth plan.
Lead efforts to systematize and professionalize GTM operations, embedding accountability and transparency.
Own the full forecasting lifecycle: pipeline reviews, forecast accuracy targets, variance analysis, cadence, escalation paths, and linkage to executive metrics.
Partner with Sales, Channel, Marketing, and Customer Success to design and enforce rules of engagement, handoff SLAs, territory / channel assignments, and incentive alignment.
Actively execute on key operational initiatives — e.g. data hygiene programs, process redesigns, system integrations — rather than delegating every major piece.
Champion data integrity and single source of truth across CRM, marketing automation, CPQ, analytics, and related GTM systems.
Direct & Channel Business Expertise
Deep experience and fluency in both direct sales and channel/partner models is highly preferred — you should understand the nuances of partner incentives, channel conflict, co-selling motions, and partner forecasting.
Drive alignment across direct and channel GTM motions, ensuring unified forecast methodologies, shared metrics, and transparent handoffs.
Cross-Functional Alignment & Collaboration
Serve as the integrator across marketing, demand generation, sales, channel/partner, and post-sales functions.
Lead planning sessions (annual, quarterly, monthly) to ensure all GTM functions are aligned on goals, interdependencies, and execution plans.
Define shared metrics, dashboards, and reporting frameworks to promote transparency and unified decision processes.
Lead change management efforts associated with new systems, protocols, or organizational changes.
Analytics & Insights
Build and maintain dashboards and reporting layers that provide clarity on funnel performance, conversion rates, velocity, segmentation, cohort trends, and leading indicators.
Introduce predictive models and advanced forecasting techniques to improve accuracy and forward visibility.
Provide analytical support and strategic guidance to executive leadership about growth levers, bottlenecks, and capital allocation.
Team Building & Enablement
Mentor and scale a high-performing operations team (analytics, process, systems).
Foster a culture of operational excellence, continuous improvement, and accountability.
Partner with enablement / training functions to embed new processes, tools, and behaviors into GTM teams.
Systems & Technology Stewardship
Own the GTM stack (CRM, marketing automation, CPQ, deal desk, analytics) and integrations.
Evaluate, implement, and optimize tools; manage vendor relationships and ROI analyses.
Establish strong data governance, system configuration practices, and scalability safeguards.