Senior Account Executive - Australia & New Zealand

About Neo4j

Neo4j is a leading graph intelligence platform transforming complex data into actionable knowledge to drive next-generation AI and intelligent applications. It offers enterprise-grade knowledge graphs that deliver transparent, governed AI, and comprehensive, integrable graph functionalities compatible across diverse data sources and cloud environments. Trusted by 84 of the Fortune 100 and supported by the world's largest graph community, Neo4j fuels intelligent decision-making that produces measurable impacts for businesses and employees alike.

The technology is designed for universal deployment and integration, powering dynamic, personalized, and autonomous AI systems that yield faster, contextualized business insights.

Company Vision

Neo4j's mission is to help organizations make sense of complex interconnected data. With increasing connectivity in business and society, the company pioneers graph database innovation to help organizations discover and understand data relationships, continuously disrupting and advancing data utilization for competitive advantage.

Role Overview

This role focuses on expanding Neo4j’s presence throughout Australia and New Zealand by managing and growing an assigned territory. As an Enterprise Account Executive specialized in Graph Technology, you will act as a trusted strategic advisor to enterprise clients, showcasing how Neo4j's graph databases effectively resolve complex data connectivity challenges beyond traditional database capabilities. You'll manage full-cycle sales strategies, from initial engagement to strategic account growth, aligning technical solutions with critical business outcomes. Success in this role requires blending deep sales expertise, market insights, and collaboration across ecosystem partners to establish Neo4j's technology as an essential component of modern data architecture.

Key Responsibilities

• Formulate and implement robust territory and account plans to cultivate a strong sales pipeline and consistently achieve or exceed quarterly and annual targets.
• Drive comprehensive enterprise sales cycles with a value-focused approach, utilizing “Land & Expand” strategies to scale Neo4j adoption within key accounts.
• Lead and coordinate cross-functional teams including Business Development Representatives, Field Marketing, and Channel Directors to maximize pipeline development and partner engagement.
• Collaborate closely with Pre-Sales Engineering teams to define, qualify, and deliver compelling Proof of Concepts (POCs) and technical proposals that secure client commitment.
• Build and exploit strategic co-selling alliances with prominent public cloud providers such as AWS, Google Cloud, and Microsoft Azure.
• Maintain disciplined CRM practices using Salesforce.com to ensure pipeline accuracy, timely reporting, and dependable forecasting aligned with company standards.

Minimum Qualifications

• A Bachelor’s degree or equivalent practical experience.
• At least 7 years of a proven track record in meeting or surpassing sales quotas selling enterprise software and technical solutions.
• Expertise in managing complex enterprise sales cycles through formal methodologies such as MEDDPICC, consultative selling, or value selling.
• Experience engaging and building relationships with C-level stakeholders.
• Strong communication skills bridging business and technical audiences.

Preferred Qualifications

• Prior experience selling data platform technologies, information management tools, NoSQL or relational databases, ideally within Financial Services.
• Familiarity with commercial open-source business models, including subscriptions for on-premise, hybrid, and cloud deployment scenarios.
• Deep understanding of the broader data ecosystem, encompassing cloud platforms (AWS, Google Cloud, Azure), ETL processes, and Generative AI integrations.
• Demonstrated success in fast-paced software industry environments using collaborative support from BDRs, marketing, and pre-sales teams.
• Strong conviction regarding the unique advantages that graph database solutions provide compared to other database architectures.