Senior Enterprise Account Executive

🔥 0 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🧑‍💼 Account Executive

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Neo4j

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2007

☁️ SaaS

🤖 Artificial Intelligence

🏢 Enterprise

SaaS • Artificial Intelligence • 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.

📋 Description

• Develop and execute a strategic territory plan targeting key organizations and use cases to build pipeline and achieve quarterly and annual sales objectives • Become an expert in Neo4j’s product offerings and industry solutions, delivering demos, presentations, and proposals articulating business value • Position Neo4j solutions as the best fit for customer needs and highlight advantages over competing technologies and approaches • Lead complex sales cycles using solution-based and strategic selling tactics, including the Land & Expand model • Manage the full sales process from prospecting to closing, securing new logos and expanding existing accounts • Guide and mentor Business Development Representatives and Field Marketing resources on target accounts and pipeline development • Maintain accurate CRM information, data integrity, and forecasting guidelines • Develop partnerships with AWS, Google, and Microsoft Azure to drive growth opportunities • Collaborate with solution engineering, marketing, and professional services to ensure customer satisfaction and long-term success

🎯 Requirements

• 7+ years of proven success in enterprise software sales with a consistent track record of exceeding targets • Experience managing complex sales processes within enterprise markets such as Data Warehousing, Business Intelligence, Data Science, AI/ML, or related fields • Proven ability to independently develop and close new client relationships while effectively managing long-term business engagements • Deep understanding of commercial open-source business models, including selling on-premise and cloud & SaaS hybrid solutions • Ability to craft and execute sales strategies tailored to specific industries, leveraging partner and Go-to-Market knowledge • Strong presentation, communication, and organizational skills with a knack for building strong business champions • Familiarity with MEDDIC, SPIN, or Challenger Sales methodologies and experience working in a fast-paced, competitive market • Experience collaborating with Pre-Sales, Marketing, Customer Success, and Field Engineering resources • Proven ability to build and nurture relationships with CTOs, IT leaders, technical end users, Solution Architects, Professional Services, and Channel Partners • Experience selling complex technical solutions into enterprise markets, with a focus on subscription-based models and cloud deployments • Knowledge of graph technology, data management tools, or other advanced data-driven technologies • Bachelor’s degree in a relevant field is preferred • Proficiency in Google Docs, Salesforce, and MS Office

🏖️ Benefits

• Stock option grant for US employees • Annual bonus eligibility for certain roles • Medical benefits • Dental benefits • Vision benefits • 401(k) • Paid time off • Certain leaves of absence • Inclusive, diverse, and equitable workplace • Opportunity to shape the future of data and analytics

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