opengreenhousecreandum
Senior Account Executive, Global Systems Integrators (GSI) - India
Neo4j
LocationRemote: India, Remote-APAC
WorkplaceFull
Last observed2026-07-02 05:05:47.978238
Job idcreandum-neo4j:greenhouse:4684573006
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. About the job As a Sr Account Executive, GSI for India, you will drive the strategic expansion of Neo4j’s footprint by owning and capitalising on revenue generation through the region’s premier Global System Integrators (GSIs), including top-tier Indian integrators and global strategic consulting firms. Reporting directly to the RVP of Channels & Alliances APJ, this is a high-impact, foundational sales role designed for an entrepreneurial software sales professional who thrives in high-growth environments where global partner programs are being established in tandem with local execution. You will sit at the ultimate intersection of enterprise data and Generative AI, positioning Neo4j not as a niche developer tool, but as the critical "knowledge layer" that connects enterprise data to Large Language Models (LLMs) via GraphRAG. Your mission is to co-sell and drive net-new enterprise revenue by embedding Neo4j into the multi-billion dollar AI and Advanced Analytics practices of these GSIs. This role begins as an elite Individual Contributor (IC) with the explicit corporate trajectory to scale the function and transition into a Director-level leadership role as you prove the regional revenue model. Minimum qualifications: Bachelor's degree or equivalent practical experience. 7 years of experience meeting or exceeding sales quotas selling technical solutions, cloud platforms, or enterprise data software through and with Tier-1 Global System Integrators (GSIs) and large-scale Indian integrators. Proven track record of building a partner-led sales pipeline from scratch, with a demonstrated ability to navigate complex enterprise sales cycles (e.g., MEDDPICC) in environments with limited initial resources. Experience executing complex enterprise co-sell and sell-through methodologies alongside GSI client partners, practice leads, and enterprise field sales teams. Experience presenting to and managing relationships with C-level executives and technical practice heads across GSI competency centers. Ability to communicate in English fluently as this role requires extensive collaboration with global leadership and regional APAC stakeholders. Preferred qualifications: Deep domain knowledge of the broader data landscape, cloud ecosystem (AWS, Azure, GCP), NoSQL/relational databases, and emerging Enterprise AI architectures. Experience with commercial open-source software (COSS) business models, including subscription-based on-premise, hybrid, and cloud-native database solutions. Demonstrated success influencing, closing, and expanding large, complex enterprise deals ($1M+) through GSI-led digital transformation programs. Strong architectural understanding of where graph solutions deliver distinct competitive advantages over alternative database approaches, particularly regarding GenAI/LLM i
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