Senior Revenue Operations Manager

We are seeking a strategic and analytical Revenue Operations leader to partner closely with senior sales leadership and drive sustainable business growth. In this role, you will oversee forecasting, pipeline management, performance analytics, and go-to-market planning to improve revenue predictability and operational efficiency. You will work cross-functionally with Sales, Marketing, Finance, HR, and other teams to translate business priorities into actionable strategies and measurable results. The position offers broad visibility and the opportunity to influence resource allocation, sales coverage, territory planning, and compensation structures. You will thrive in a fast-paced, collaborative environment that values autonomy, innovation, and data-driven decision-making. This is an opportunity to shape revenue operations within a growing technology organization focused on Microsoft cloud solutions and end-user computing.

• Professional experience: At least 5 years of experience in Revenue Operations, Sales Operations, or a closely related business operations role.

• Education: Bachelor's degree in Business, Finance, Economics, Analytics, or a related discipline.

• Analytical and technical skills: Advanced proficiency in Microsoft Excel and PowerPoint, with the ability to build financial and operational models, analyze complex datasets, and communicate findings effectively. Experience with business intelligence tools such as Tableau or Power BI is an advantage.

• CRM expertise: Experience implementing, managing, and navigating CRM platforms such as Salesforce or HubSpot, with an understanding of pipeline management, sales reporting, and forecasting processes.

• Revenue operations knowledge: Demonstrated understanding of sales forecasting, pipeline analysis, go-to-market planning, customer segmentation, territory management, resource allocation, and sales performance measurement.

• Executive communication: Strong presentation and communication skills, with the confidence to share data-driven insights and recommendations with senior leaders and executive stakeholders.

• Problem-solving and autonomy: Ability to navigate ambiguity, manage multiple priorities, work independently, and deliver high-quality results in a fast-moving environment.

• Cross-functional collaboration: A team-oriented mindset and the ability to build productive relationships across departments, influence stakeholders, and align teams around shared objectives.

• AI proficiency: Familiarity with AI-powered productivity tools, such as Claude, and the ability to apply emerging technologies to streamline workflows and improve analytical efficiency.

• Adaptability and innovation: A proactive approach to continuous improvement, with the flexibility to challenge established processes and introduce creative solutions that support business growth.