Data for Every Decision™
Data • Computer vision • Sampling design • Algorithms • International Development
August 28
🏢 In-office - Manhattan
Data for Every Decision™
Data • Computer vision • Sampling design • Algorithms • International Development
• Lead Revenue Operations across commercial and public sector organizations. • Lead, manage, and coach the Revenue Operations team to drive revenue growth, including sales operations, business operations, revenue analytics, and deal desk functions. • Develop, implement, and maintain sales processes and go-to-market strategies to support revenue growth and sales effectiveness. • Collaborate with cross-functional teams, including Sales, Marketing, Finance, Legal, and Product, to ensure alignment and optimize revenue operations. • Develop and maintain metrics to track and report on revenue performance, identify trends, and provide insights to senior leadership. • Analyze sales pipeline data to identify opportunities for improvement in sales processes, pipeline management, and forecasting accuracy. • Work closely with sales leadership to develop and implement sales training programs, enablement tools, and processes to improve sales effectiveness. • Manage the deal desk function, ensuring timely and accurate deal pricing, approval, and execution. • Implement and maintain revenue recognition policies and procedures in accordance with GAAP and company policies. • Drive the adoption and utilization of sales technology tools, such as CRM, sales automation, and reporting tools. • Work between finance team and sales leadership on financial sales model with key assumptions. • Run sophisticated analysis of pipeline around each key assumption in the business model. • Translate 'up/out' analytics into action items, benchmarking, and coaching for BDEs.
• 8+ years of experience in revenue operations or sales operations. • Strong analytical skills and experience in revenue forecasting, pipeline management, and sales reporting. • Excellent communication, interpersonal, and leadership skills. • Ability to develop and maintain effective relationships with key stakeholders. • Understanding of revenue recognition principles for SaaS, DaaS, or similar businesses. • Strong business acumen and strategic thinking skills. • Ability to manage multiple projects and priorities in a fast-paced environment. • Experience with Gong • Experience with SQL, Looker, Periscope, SI Sense • Spanish fluency
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