
Head of Revenue Operations

Madison Logic
Summary
Join Madison Logic as their Head of Revenue Operations and lead the optimization of revenue-generating processes. Collaborate with sales, marketing, and customer success teams to drive efficiency, improve forecasting, and maximize revenue growth. Develop and execute a revenue operations strategy, streamline sales processes, and own bookings and ARR reporting. Provide data-driven insights, develop KPIs, and work with finance on revenue modeling. Lead cross-functional initiatives, implement dashboards and reporting tools, and develop training materials. Partner with various teams to ensure cohesive GTM strategies and promote seamless communication. This role requires 15+ years of experience in a related field, proven leadership, strong analytical skills, and deep understanding of CRM and sales analytics tools. The position offers a base salary of $200,000-$240,000 plus additional compensation.
Requirements
- 15+ years of experience in Revenue Operations, Sales Operations, or a related field
- Proven leadership experience with a track record of building and managing high-performing teams
- Strong analytical skills with expertise in forecasting, pipeline management, and data insights
- Deep understanding of CRM systems (Salesforce, HubSpot) and sales analytics tools (Tableau, Power BI)
- Exceptional strategic thinking, problem-solving, and communication skills
- Experience working cross-functionally with Sales, Marketing, Finance, and Customer Success
- Ability to thrive in a fast-paced, high-growth environment
Responsibilities
- Develop and execute a revenue operations strategy that supports business objectives and revenue growth
- Collaborate with sales, marketing, and operations teams to drive annual revenue planning and create a seamless revenue engine
- Drive strategy, planning, operations, and overall improvement in growth and efficiency
- Optimize and streamline sales processes, ensuring alignment and efficiency
- Lead the optimization of the lead-to-cash process, ensuring seamless integration across marketing, sales, and customer success
- Significant knowledge required on systems (Salesforce, HubSpot) and sales tools to enhance productivity and data integrity
- Streamline the Deal Desk process with Finance and Operations
- Lead cross-functional initiatives to improve revenue operations workflows and drive best practices
- Own bookings and ARR reporting, forecasting, and KPI tracking to enable data-driven decision-making
- Develop and maintain key performance indicators (KPIs) to measure and report on revenue operations effectiveness
- Provide insights into sales performance, pipeline health, and revenue trends
- Work closely with Finance to ensure accurate revenue modeling and forecasting, delivering executive board reports
- Develop and enforce best practices for sales performance tracking and quota attainment
- Implement dashboards and reporting tools to provide actionable insights for marketing, sales, and leadership teams
- Lead robust ICP design, segmentation, territory design, and pipeline forecasting
- Oversee GTM operating cadence, including QBRs, leadership meetings, weekly huddles, and forecast reviews
- Define, document, and refine processes to create efficiency and ensure a consistent buyer journey
- Conduct regular assessments and feedback loops with teams to identify bottlenecks and optimize performance
- Develop and maintain a centralized knowledge hub of training materials and marketing assets in collaboration with product marketing
- Partner closely with marketing, finance, product, people, and customer success teams to ensure cohesive GTM strategies
- Act as a liaison between Sales and other departments to promote seamless communication and operational alignment
- Drive continuous improvement initiatives and leverage best practices to enhance organizational productivity
Preferred Qualifications
Located in NYC Metro preferred
Benefits
- Base Salary: $200,000 β $240,000
- Additional Compensation: $25,000
- We offer a mix of in-office and hybrid working
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