Company
SaaS
HeadofRevenueOperations
Neural analysis suggests this role is
optimal for Executive candidates.
“Head of Revenue Operations. Skills: Revenue Operations, Sales Operations, Forecasting, Pipeline management. Lead Revenue Operations function. Ensure alignment with company growth objectives”
Industry & Context.
Data-driven insights; Structured thinking
What They're Looking For.
Must Have
10+ years experience in Revenue Operations, Sales Operations, Business Analytics, Consulting, or related fields, Exposure to SaaS environments, Deep expertise in forecasting, pipeline management, revenue planning, territory design, quota setting, and compensation frameworks, Proven ability to influence executive stakeholders, Analytical background with hands-on experience working with CRM systems, BI tools, and large-scale datasets, Ability to operate effectively in ambiguous, fast-moving environments, Bias toward execution and outcomes, Excellent storytelling skills, Experience collaborating across Sales, Marketing, Customer Success, and Finance in a high-growth organization, Systems thinking mindset, Demonstrated leadership experience in building, mentoring, and scaling high-performing teams
What You'll Do.
Lead Revenue Operations function
Ensure alignment with company growth objectives
Own forecasting processes
Own pipeline management processes
Own revenue planning processes
Improve accuracy and consistency
Improve executive visibility
Design reporting frameworks
Enhance reporting frameworks
Design analytics frameworks
Enhance analytics frameworks
Provide leadership with actionable insights
Manage executive operating cadences
Ensure consistency in metrics
Ensure consistency in narratives
Drive annual GTM planning
Drive in-year GTM planning
Partner with GTM Systems
Partner with cross-functional teams
Optimize data infrastructure
Optimize operational tooling
Translate complex data into business stories
Influence executive decisions
Influence board-level decisions
Lead initiatives to automate reporting
Lead initiatives to improve data quality
Lead initiatives to scale analytics capabilities
Provide leadership to team
Provide mentorship to team
Provide development to team
How You'll Work.
Team & Collaboration
Cross-functional teams; Sales; Marketing; Customer Success; Finance
Communication Scope
Executive presentations; Board-level reporting; Business storytelling
Full Job Description
## Accountabilities Lead the end-to-end Revenue Operations function across GTM, Marketing, Post-Sales, and strategic initiatives, ensuring alignment with company growth objectives and execution priorities. Own forecasting, pipeline management, and revenue planning processes, improving accuracy, consistency, and executive visibility into business performance. Design and continuously enhance reporting and analytics frameworks to provide leadership with clear, actionable insights for decision-making. Manage executive operating cadences including QBRs, forecast reviews, and strategic planning cycles, ensuring consistency in metrics and narratives. Drive annual and in-year GTM planning, including territory design, capacity planning, quota setting, compensation design, and resource allocation. Partner closely with GTM Systems and cross-functional teams to optimize CRM, data infrastructure, and operational tooling. Translate complex data into compelling business stories that influence executive and board-level decisions. Lead initiatives to automate reporting, improve data quality, and scale analytics capabilities across the organization. Provide leadership, mentorship, and development to the Revenue Operations and analytics team. Requirements: 10+ years of experience in Revenue Operations, Sales Operations, Business Analytics, Consulting, or related fields, with strong exposure to SaaS environments. Deep expertise in forecasting, pipeline management, revenue planning, territory design, quota setting, and compensation frameworks. Proven ability to influence executive stakeholders through data-driven insights, strong communication, and structured thinking. Strong analytical background with hands-on experience working with CRM systems, BI tools, and large-scale datasets. Ability to operate effectively in ambiguous, fast-moving environments with a strong bias toward execution and outcomes. Excellent storytelling skills, with the ability to translate complex analysis into clea
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