Sr. Manager, Revenue Operations (Support)
GoHighLevel· Revenue Operations
RemoteEmployee IndiaPosted 2mo ago
About the role
Senior leadership role designing and running Revenue Operations for Support, with a strategic, data-driven focus to connect support activities to revenue outcomes, optimize processes, and scale AI-driven automation across a multi-channel, global support organization.
Responsibilities
- Partner with the Sr. Director of RevOps and Support leadership to lead annual and quarterly planning — building bottoms-up operational plans grounded in real capacity drivers and demand signals
- Own forecasting frameworks for the Support organization — ticket volume projections, channel mix trends, resolution capacity, and cost-per-resolution modeling
- Track actuals against plan with discipline — identify deviations early, understand root causes, and bring forward-looking recommendations rather than backward-looking reports
- Lead monthly and quarterly business reviews for Support leadership — owning the narrative, surfacing strategic gaps, and driving prioritized action
- Build the financial models and business cases that support investment decisions — new tooling, AI capability expansions, channel investments, and headcount planning
- Challenge assumptions with data — stress-test prioritization decisions with rigour and evidence
- Design and own the analytical framework that connects Support activity and quality to downstream customer outcomes — retention rates, churn signals, and customer lifetime value
- Quantify the business impact of Support at leadership level — translating operational metrics into revenue and retention outcomes
- Build the early warning system that signals customer health issues emerging through support interactions
- Identify recurring ticket patterns to surface product gaps and surface findings to Product and GTM leaders with clear business impact
- Feed Support intelligence into the broader GTM customer lifecycle analytics layer, in partnership with GTM Strategy
- Establish Support as a strategic contributor to retention decisions — not just an operational function
- Own the KPI framework for the Support organization — CSAT, turnaround time, resolution quality, first contact resolution, escalation rates, and tier distribution
- Build and maintain analytics infrastructure for leadership visibility into team and channel performance
- Track performance across L1, L2, and L3 tiers and identify training or product gaps
- Own channel performance analytics across chat, platform, and live Zoom channels and optimal channel mix
- Build cost efficiency models — cost per resolution, cost by channel, cost by tier
- Design and govern operating cadences — weekly business reviews, performance reviews, escalation governance
- Own the RevOps operational layer for the Support AI bot — track deflection performance, impact on CSAT and resolution quality, identify gaps
- Build measurement framework distinguishing AI deflection vs AI resolution
- Work with AI/Innovation on continuous improvement priorities with operational findings
- Identify automation opportunities within RevOps for Support and implement them
- Partner with AI/Innovation on roadmap for Support AI expansion with operational requirements
- Audit and redesign operational workflows across Support — routing, triage, escalation Define and govern handoff standards between Support tiers and GTM functions
- Design process documentation standards and ensure version control
- Lead change management for new processes and systems
- Identify and eliminate operational redundancies
- Ensure tools, data pipelines, and automation infrastructure scale for Support
- Own data integrity for Support — clean metric definitions, tagging, and reporting pipelines
- Define requirements for tooling investments (build vs buy)
Qualifications
- 10+ years of professional trajectory within Revenue, Support, or Customer Success Operations
- Tier-1 MBA or background in management consulting preferred
- Proven architect who has designed and scaled support operations infrastructure in enterprise environments
- Deep expertise linking service metrics to retention and revenue outcomes
- Operational mastery of AI-driven automation workflows with focus on verified resolution
- Experience in high-velocity SaaS environments and scalable architectures
- Formal certifications are secondary to demonstrated impact and foresight
Skills
Required:Operational leadership
Benefits
- Not specified in the description
Last updated Oct 21, 2026. Interested? Apply on the company site.
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