ArangoDB is a modern graph database platform that provides a comprehensive solution for Graph ML and GenAI applications. Known for its flexibility and scalability, ArangoDB integrates graph, document, full-text search, key-value, and geospatial data systems into a single platform. This allows users to tackle diverse use cases such as fraud detection, cyber security, and network asset management with ease. The platform supports a wide array of deployment environments, including cloud and Kubernetes, and offers advanced features like graph analytics, machine learning, and visualization tools. With its robust query language AQL and a focus on innovation, ArangoDB stands out as a leader in graph database technology.
NoSQL • Document Store • GraphDB • Key Value Store • Multi-Model
February 4
ArangoDB is a modern graph database platform that provides a comprehensive solution for Graph ML and GenAI applications. Known for its flexibility and scalability, ArangoDB integrates graph, document, full-text search, key-value, and geospatial data systems into a single platform. This allows users to tackle diverse use cases such as fraud detection, cyber security, and network asset management with ease. The platform supports a wide array of deployment environments, including cloud and Kubernetes, and offers advanced features like graph analytics, machine learning, and visualization tools. With its robust query language AQL and a focus on innovation, ArangoDB stands out as a leader in graph database technology.
NoSQL • Document Store • GraphDB • Key Value Store • Multi-Model
• The Revenue Operations Lead will play a critical role in driving efficiency, alignment, and growth across ArangoDB’s sales, marketing, and customer success teams. • This position serves as the operational backbone for our revenue-generating functions, optimizing processes, systems, and insights to accelerate performance and strategic decision-making. • Develop and implement a revenue operations strategy aligned with ArangoDB’s goals and objectives. • Identify and execute initiatives to maximize revenue generation, improve customer satisfaction, and streamline operational processes. • Design and enhance foundational processes for the customer lifecycle, including lead creation, scoring, and routing; sales pipeline management; closed deal management; and customer success and services delivery. • Implement best practices for sales forecasting, pipeline management, and territory design. • Define and maintain key performance indicators (KPIs) for revenue operations, sales, marketing, and customer success. • Develop and maintain dashboards to track KPIs, providing actionable insights and data-driven recommendations to stakeholders and leadership. • Conduct strategic analyses to identify trends, optimize processes, and inform decision-making. • Oversee the collection, analysis, and accuracy of sales data and KPIs, ensuring data-driven insights guide strategies. • Evaluate, implement, and manage tools and technologies such as CRM systems and marketing automation platforms to support revenue operations. • Partner with sales, marketing, customer success, technical, and finance teams to ensure alignment and drive revenue growth. • Design and manage territory and quota allocations to optimize sales performance. • Create and present detailed reports on revenue performance, forecasting, and market trends to senior leadership. • Lead and facilitate change initiatives to enhance efficiency and revenue growth. • Any other tasks assigned by the manager.
• Bachelor’s degree in business, finance, or a related field; MBA preferred. • 7+ years of experience in revenue operations, sales management, or a related role in a high-growth, technology company. • Proficiency in Salesforce, data analysis tools (e.g., SQL, Excel), and CRM/revenue management software. • Strong analytical and problem-solving skills with attention to detail. • Proven experience in building and managing territories, comp plans, and setting quotas. • Exceptional project management skills, with a track record of leading cross-functional initiatives. • Strong communication skills and executive presence. • Ability to thrive in ambiguity, operate autonomously and manage multiple projects simultaneously. • An understanding of AI applications and their value to customers is a plus.
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