Sr. Enterprise Account Executive, Financial Services

About Neo4j

Neo4j is the leader in Graph Database & Analytics, helping organizations uncover hidden patterns and relationships across billions of data connections deeply, easily, and quickly. Customers use Neo4j to gain a deeper understanding of their business and reveal new ways of solving their most pressing problems. Over 84% of Fortune 100 companies use Neo4j, along with a vibrant community of 250,000+ developers, data scientists, and architects across the globe.

At Neo4j, we’re proud to build the technology that powers breakthrough solutions for our customers. These solutions have helped NASA get to Mars two years earlier, broke the Panama Papers for the ICIJ, and are helping Transport for London to cut congestion by 10% and save $750M a year. Some of our other notable customers include Intuit, Lockheed Martin, Novartis, UBS, and Walmart.

Neo4j experienced rapid growth this year as organizations looking to deploy generative AI (GenAI) recognized graph databases as essential for improving its accuracy, transparency, and explainability. Growth was further fueled by enterprise demand for Neo4j’s cloud offering and partnerships with leading cloud hyperscalers and ecosystem leaders. Learn more at  and follow us on Linked In.

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.

We are seeking a driven, high-energy individual who is passionate about new business acquisition and enterprise sales within the New York City Financial Services sector. As a Senior Enterprise Account Executive, you will be responsible for executing a strategic sales plan targeting Tier-1 Banking and Global Capital Markets customers in NYC. You will focus on revenue growth and new customer acquisition, working closely with cross‑functional teams to solve high‑stakes challenges in fraud detection, anti-money laundering (AML), and real‑time risk management.

• Develop and execute a strategic territory plan targeting large New York City banking institutions, focusing on mission‑critical use cases to build a robust pipeline and achieve sales objectives.
• Become an expert in our product offerings and industry solutions, delivering compelling demos and proposals that articulate business value for complex financial ecosystems.
• Leverage deep knowledge of the NYC financial market to position our solutions as the best fit for customer needs, highlighting advantages over legacy relational databases and competing technologies.
• Lead complex sales cycles with a solution‑based approach, employing strategic selling tactics, including the Land & Expand model, to grow high‑value banking accounts.
• Manage the full sales process from prospecting to closing, consistently securing new logos and expanding within the world’s largest financial organizations.
• Provide guidance and mentorship to SDRs and Field Marketing to align on banking‑specific target accounts and support pipeline development.
• Maintain accurate and up‑to‑date information within the CRM system, ensuring data integrity and adhering to rigorous forecasting guidelines.
• Develop strong partnerships with public cloud providers (AWS, Google, Microsoft Azure) and leverage these relationships to drive growth within cloud‑first banking initiatives.

• 7+ years of proven success in enterprise software sales with a consistent track record of exceeding targets within the Financial Services Industry (FSI).
• Demonstrated experience managing complex sales processes within NYC enterprise markets, specifically focusing on Data Warehousing, AI/ML, or Fraud/Risk Management.
• Proven ability to independently develop close relationships with C‑level stakeholders at major banks while managing long‑term business engagements.
• Deep understanding of commercial open‑source business models, including selling on‑premise and secure cloud/SaaS…