Revenue Operations Manager: Sales Programs, Analysis, and Process

Role Overview

The Revenue Operations Manager drives sales excellence and go-to-market programs performance by building an analytics and operational infrastructure that amplifies sales results. In this role, you ensure that commercial initiatives are driven by reliable data, governed by scalable processes, and executed with consistency.

What You Will Do

You will design and drive adoption of a robust analytics infrastructure, consolidate and organize data from multiple sources, and support analyses that inform strategic and actionable decisions. You will also structure commercial operations through clear process documentation and targeted training programs.

Why It Might Be a Fit

You will own and continuously improve the commercial value creation process through data-driven analysis, process optimization, and scalable revenue models. You will work in close collaboration with COO and CRO to understand, build, and deploy go-to-market programs, and ensure/monitor their swift execution to adjust and accelerate if needed.

Requirements

• 5+ years in data analysis and analytics in a sales environment (preferably within a SaaS company) performing sales reporting, data hygiene, forecasting, and statistical data analysis
• Extensive experience using Salesforce CRM working with Salesforce reports and dashboards
• Understanding go-to-market programs: sales methodology, territory alignments, compensation workflows, and strategic initiatives as they pertain to data analysis, process, user experience, and customer needs
• Expertise in designing, documenting, and optimizing business processes; proficiency creating Standard Operating Procedures (SOPs) and workflow maps to drive organizational efficiency.
• Database knowledge, SQL and Excel
• Familiarity with AI-powered tools for advanced analytics, forecasting, and process optimization to enhance efficiency and insights
• Microsoft Office and collaborative tools skills
• Professional English is mandatory
• Experience with data governance frameworks, data validation, and quality assurance processes to ensure data integrity
• Strong facilitation and presentation skills to deliver training programs and communicate analytics insights to diverse audiences
• Strong analytical, organizational, project management, problem resolution, and communication abilities – including verbal, written, presentation, and facilitation skills

Benefits

• 100% employee health insurance
• 60% employee health insurance
• Company pension plan
• Retirement plan
• Stock option plan