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Neo4j

Federal Solutions Engineer

Neo4j, Washington, District of Columbia, us, 20022

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Neo4j Get AI-powered advice on this job and more exclusive features. 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 it’s 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 neo4j.com and follow us on LinkedIn. 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. Location:

Washington DC Metropolitan Area At Neo4j, Solutions Engineers are pivotal to our company’s success. As a critical member of our regional go-to-market team, you will partner with our sales executives to showcase the value of our Graph data platform and manage the technical aspects of the sales cycle. You will help organizations across industries the US Federal government understand the mission and technical value of Graph data management, Graph Analytics, GraphRAG for AI. What Success Looks Like Developing and honing Graph subject matter and Neo4j product expertise to effectively discern and understand client needs,, present technology solutions that target those needs, and demonstrate thought leadership and the value of Neo4j through platform and use case demonstrations, solution architecting, workshops, and conferences. Meeting and exceeding regional revenue goals, as a result of helping Sales to qualify and validate opportunities from a technical perspective and accelerate the sales cycle and adoption of Neo4j. Collaborating effectively with Sales, Customer Success, Professional Services, Product Management, etc to deliver continuous value to customers and ensure a seamless customer experience as they embark on the graph journey. What You’ll Do Actively drive and run the technology evaluation stage of the sales process, working with Sales as the key technical advisor and advocate for our products and services. Work across a number of opportunities in parallel and manage day-to-day activities such as opportunity qualification, technical discovery, presentations, platform and use case demonstrations, proof of value, sizing, and documentation of technical decision criteria. Build and nurture rapport with customer stakeholders at all levels and be the trusted advisor to them to help them understand what they can achieve with Neo4j. Co-create reference and solution architectures with our customers, including integrating Neo4j with their existing architecture and applications within a public cloud (AWS, Azure, or GCP) or on-premise environment. Stay current on latest/greatest Neo4j capabilities, usage patterns, customer case studies, relevant ecosystem technologies, and competitors. Distill and communicate customer needs and product feedback to Product Management, Engineering, Marketing, and Sales. Help drive demand through the participation in account-based marketing events as well as industry-known conferences and trade shows. Lead by example and actively foster an environment of teamwork, transparency, creativity, and continuous improvement. Travel up to 25%, as needed in support of client meetings and regional events. What You’ll Bring 5+ years of client-facing experience in a similar capacity (Sales/Presales/Solutions Engineer, Solutions Architect, Technical Consultant, etc), ideally in a similar high-growth, scaling environment. Direct experience working with and supporting US Federal government agencies and system integrators. Experience working with different data technologies in either of the following areas: enterprise data architecture, data engineering, data science or cloud data architecture. Generative AI Ecosystem Knowledge: Up-to-date knowledge of the AI orchestration frameworks (e.g., LangChain, Llama Index, Haystack) and cloud provider AI offerings (e.g., AWS Bedrock, Vertex AI, Azure Machine Learning), different LLM providers and their strengths and limitations (e.g., OpenAI’s GPT and O families, Anthropic’s Claude family, Google’s Gemini, xAI’s Grok, etc.). Successful track record in designing, developing, and implementing data solutions in the public cloud (AWS, Azure, or GCP) or on-premise. Ability to engage and communicate ideas to both technical and non-technical audiences at all levels through presentations, whiteboarding, and platform demonstrations. Technical savviness and business acumen to translate technical concepts and patterns into valuable business outcomes. Passion for learning new technologies (especially graphs!), developing new ways of data modeling, and spearheading change management. An entrepreneurial mindset, with the ability to prioritize, pivot, and problem-solve. Knowledge of NoSQL databases (MongoDB, Cassandra, etc) and/or graph databases (Neo4j, TigerGraph, Neptune, etc) - a strong plus! Preferred Clearances: TS/SCI (CI-Poly or Full-Scope Ideal) U.S. Citizenship is required Seniority level

Seniority level Mid-Senior level Employment type

Employment type Full-time Job function

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