
501 - 1000 employees
Founded 2007
☁️ SaaS
🏢 Enterprise
SaaS • AI • Enterprise
Neo4j is a leading company that provides graph database technology, enabling organizations to connect and analyze vast amounts of data through its platform. As the creators of the Neo4j Graph Database and the Cypher query language, they offer solutions like Neo4j AuraDB and Neo4j Graph Data Science to help businesses deploy graph applications efficiently, whether self-managed or fully-managed. Their tools are designed for developers and data scientists to easily build and visualize graph-based applications, improving data relationships and insights. Neo4j supports various use cases, including fraud detection, knowledge graphs, and financial services, and is widely adopted by the developer and data science communities globally. With educational resources like GraphAcademy, they also support a large and growing global community of graph technology experts.
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501 - 1000 employees
Founded 2007
☁️ SaaS
🏢 Enterprise
SaaS • AI • Enterprise
Neo4j is a leading company that provides graph database technology, enabling organizations to connect and analyze vast amounts of data through its platform. As the creators of the Neo4j Graph Database and the Cypher query language, they offer solutions like Neo4j AuraDB and Neo4j Graph Data Science to help businesses deploy graph applications efficiently, whether self-managed or fully-managed. Their tools are designed for developers and data scientists to easily build and visualize graph-based applications, improving data relationships and insights. Neo4j supports various use cases, including fraud detection, knowledge graphs, and financial services, and is widely adopted by the developer and data science communities globally. With educational resources like GraphAcademy, they also support a large and growing global community of graph technology experts.
• Partner closely with regional Account Executives to define territory strategies, profile priority accounts, and build aligned multi-channel outbound campaigns. • Systematically map target enterprise organisations to identify and engage key personas across technical, data science, and line-of-business teams. • Execute a high volume of strategic outbound outreach—including cold calling, tailored emailing, and social selling—to capture executive attention and generate pipeline. • Conduct rigorous technical and business discovery with prospective stakeholders to uncover organisational pain points, current data infrastructure limitations, and buying triggers. • Qualify outbound prospects using structured enterprise sales methodologies, ensuring a seamless handoff of highly qualified opportunities to the sales team. • Maintain strict data hygiene and activity tracking within Salesforce.com and Outreach, ensuring accurate account intelligence is documented to support the broader sales cycle. • Consistently meet or exceed monthly and quarterly key performance indicators (KPIs) spanning outbound activities, qualified meetings booked, and net-new sales funnel contribution.
• Bachelor's degree or equivalent practical experience. • 2 years of experience in a Business Development Representative (BDR), Sales Development Representative (SDR), or Inside Sales role within the enterprise software industry. • Experience executing structured outbound prospecting campaigns, including cold calling, tailored email sequencing, and multi-channel outreach. • Experience navigating standard enterprise sales technology stacks (e.g., Salesforce, Outreach, ZoomInfo, LinkedIn Sales Navigator, or equivalent). • Experience handling technical discovery, objection handling, and engaging unmapped stakeholders within target organisations. • Experience identifying and qualifying opportunities within the data infrastructure, analytics, AI, or information management technology sectors. • Proven ability to map complex enterprise accounts, identifying key decision-makers across both technical (Data Architects, CTOs) and business (Fraud, Risk, Compliance) business units. • Strategic acumen to leverage intent data, industry news, and tech-stack signals to craft highly personalised, relevant value propositions. • Demonstrated capability to conduct structured, value-based discovery conversations to uncover deep enterprise business challenges. • High resilience, a self-starter mindset, and a track record of consistently exceeding outbound KPIs in a fast-paced, sales-driven environment.
• Inclusive workplace culture • Professional development opportunities
Apply Now🕒 5 days ago
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