Sr. Manager, Revenue Operations

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Sr. Manager, Revenue Operations based in India. This is a senior strategic role focused on building the operational and analytical engine behind a high-volume Support organization. You will partner with senior leaders to translate operational performance into measurable revenue, retention, and customer outcomes. The role combines strategic planning, forecasting, financial modeling, performance analytics, process design, and systems optimization. A major focus will be establishing clear links between support activity, customer health, churn, and lifetime value. You will also shape the measurement and operational strategy behind AI-enabled support and automation initiatives. Success requires an ability to move comfortably between executive-level strategy and detailed operational problem-solving. This is an influential opportunity to build scalable RevOps frameworks in a fast-moving, global SaaS environment. Act as a strategic Revenue Operations partner to Support leadership, contributing to annual and quarterly planning, capacity planning, forecasting, and operational strategy. Develop forecasting frameworks covering ticket volumes, channel mix, resolution capacity, cost per resolution, and other critical Support drivers. Track actual performance against plans, identify deviations and root causes, and provide forward-looking recommendations to leadership. Lead monthly and quarterly business reviews, developing the narrative, highlighting strategic gaps, and driving prioritized actions. Build financial models and business cases supporting decisions around tooling, AI capabilities, channel investments, and workforce planning. Design analytical frameworks connecting Support performance and service quality to customer retention, churn, lifetime value, and broader revenue outcomes. Establish customer health and early-warning indicators based on Support interactions, helping identify potential retention risks before they escalate. Analyze recurring ticket patterns to identify product gaps, customer friction, training opportunities, and process issues, translating findings into actionable recommendations for Product and GTM teams. Own the Support KPI framework across metrics such as CSAT, turnaround time, resolution quality, first-contact resolution, escalation rates, and tier distribution. Build and maintain analytics infrastructure that provides leadership with detailed visibility into performance across L1, L2, and L3 support tiers and multiple channels. Develop cost-efficiency models covering cost per resolution, cost by channel, and cost by tier to inform investment and optimization decisions. Establish operating cadences, performance reviews, escalation governance, and reporting processes that keep teams aligned and action-oriented. Own the operational measurement framework for AI-enabled Support, distinguishing genuine issue resolution from simple ticket deflection and evaluating quality, customer impact, and efficiency. Partner with AI and innovation teams to identify automation opportunities, surface quality gaps and edge cases, and shape future AI capabilities and investment priorities. Audit and redesign Support workflows, including ticket routing, triage, escalation, handoffs, and resolution standards, with a focus on scalability and adoption. Define and govern process documentation, data standards, metric definitions, tagging structures, and reporting integrity across Support platforms. Partner with systems and technology teams to define tooling requirements, improve data pipelines, automate recurring processes, and evaluate build-versus-buy decisions. Lead change management for new processes and systems, ensuring successful adoption and measurable operational improvement. Mentor and develop analysts while establishing high standards for ownership, analytical quality, and strategic thinking. Req