Senior Account Executive, Enterprise Customers (Korean, English)

About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community. Intelligence that works. Results that matter. Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business. Our Vision: At Neo4j, we have always strived to help the world make sense of data. As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive. Minimum qualifications: Bachelor's degree or equivalent practical experience. 7 years of experience meeting or exceeding quotas selling technical solutions and enterprise software products. Experience executing complex enterprise sales cycles using structured methodologies (e.g., MEDDPICC, consultative selling, or value selling). Experience presenting to and managing relationships with C-level executives across both business and technical stakeholders. Ability to communicate in English and Korean fluently as this is a customer-facing role that requires interactions in English and Korean with local stakeholders and partners. Preferred qualifications: Experience selling data platforms, information management tools, NoSQL, or relational databases, preferably into the Financial Services sector. Experience with commercial open-source software (COSS) business models, including selling subscriptions for on-premise, hybrid, and cloud deployments. Deep knowledge of the broader data landscape, including cloud provider ec osystems (AWS, Google Cloud, Azure), ETL, and Generative AI integrations. Proven track record in a agile, high-growth software environment, effectively leveraging dedicated cross-functional resources (BDRs, Field Marketing, Pre-Sales). Strong conviction and architectural understanding of where graph solutions deliver distinct competitive advantages over alternative database approaches.