Sales Operations Manager

SysAid, a pioneering SaaS company in Enterprise Service Management, is celebrated for innovation and industry leadership. Featured in Gartner's ITSM Magic Quadrant and honored with AWS's Rising ISV Star Award, we serve 4,000+ clients spanning 140 countries, impacting over 9 million daily users. Our commitment? Revolutionizing Enterprise Service Management with Generative AI.

We seek an analytically driven and strategic Revenue Operations Manager to join our team. This role will be a critical partner to our C-level executives and revenue-focused leaders, leveraging data to identify growth opportunities, optimize processes, and drive actionable insights that enhance the customer journey and revenue performance.

Key Responsibilities

• Deliver regular, data-driven insights to executive leadership
• Build and maintain forecasting models and KPI dashboards
• Analyze pipeline, churn, and customer behavior to support growth strategies
• Collaborate with sales, CS, and marketing leaders to align on goals and initiatives
• Recommend operational improvements and revenue opportunities
• Improve processes across sales and customer success functions
• Ensure data consistency across systems and tools
• Support performance tracking, funnel management, and reporting
• Monitor revenue targets and identify performance gaps
• Contribute to incentive planning and customer journey optimization

Qualifications:

• 5+ years in Revenue Operations, Business Analytics, or a related role, preferably in SaaS, technology, or a similar industry.
• Bachelor’s degree in Business, Data Science, Statistics, Economics, or a related field.
• Advanced proficiency in CRM platforms (e.g., Salesforce, HubSpot) and data analytics tools (e.g., Tableau, Looker, Power BI, Excel).
• Knowledge of SQL, Python, or other data analysis languages is a plus.
• Exceptional ability to synthesize large datasets into actionable business insights.
• Proven experience collaborating with senior executives and influencing cross-functional teams.
• Strong communication, storytelling, and presentation skills to share data-driven insights effectively.