Enterprise Account Executive (Banking, Financial Services, & Insurance)

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. 8 years of experience in enterprise software sales, with a dedicated focus on the Australian and New Zealand BFSI vertical. Proven track record of selling complex technical solutions, data platforms, or enterprise infrastructure into the major banks. Experience executing structured enterprise sales methodologies (e.g., MEDDPICC, consultative selling, value-based selling) across multi-stakeholder business and technical business units. Experience navigating both "hunting" (new business/new logo acquisition) and "farming" (expanding existing footprints and major account management) cycles. Preferred qualifications: Deep domain expertise within the banking, financial services, and insurance (BFSI) vertical, including strong existing relationships with C-level executives, line-of-business owners, and data architects. Experience selling cloud-native data architectures, relational/NoSQL databases, analytics platforms, or AI/ML infrastructure . Strong understanding of the specific compliance, regulatory (e.g., APRA), and data sovereignty frameworks governing the ANZ financial sector. Proven success co-selling and aligning with the local public cloud provider ecosystems (AWS, Google Cloud, Microsoft Azure) and global systems integrators (GSIs).