Company

SaaS

HeadofRevenueOperations

€105–155k ~AI est. Bulgaria FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Executive candidates.

The Brief

“Head of Revenue Operations. Skills: Revenue Operations, Sales Operations, Forecasting, Pipeline management. Lead Revenue Operations function. Ensure alignment with company growth objectives”

Industry & Context.

SaaS
Problems you'll solve

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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