<div><div>About Neo4j:</div> <div> Neo4j is the leader in Graph Database &amp; 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 <a href="https://neo4j.com/awards/">proud</a> to build the technology that powers breakthrough solutions for our customers. These solutions have helped NASA <a href="https://neo4j.com/users/nasa/">get to Mars</a> two years earlier, <a href="https://neo4j.com/case-studies/the-international-consortium-of-investigative-journalists-icij/">broke the Panama Papers</a> for the ICIJ, and are <a href="https://neo4j.com/case-studies/transport-for-london/?utm_source=GSearch&amp;utm_medium=PaidSearch&amp;utm_campaign=Evergreen&amp;utm_content=AMS-Search-SEMCE-DSA-None-SEM-SEM-NonABM&amp;utm_term=&amp;utm_adgroup=DSA&amp;gad_source=1&amp;gclid=CjwKCAiA3ZC6BhBaEiwAeqfvyvoGtgKTkpS41z9skrC0CK7PF89z9KIOKKeNRdsSba1oBtxdj0i2qBoC3dcQAvD_BwE">helping Transport for London</a> 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 <a href="https://neo4j.com/generativeai/">generative AI (GenAI)</a> 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 <a href="http://neo4j.com">neo4j.com</a> and follow us on <a href="https://www.linkedin.com/company/neo4j/">LinkedIn</a>. </div> <div> </div> <div>Our Vision: </div> <div> 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. </div></div>The Role  Neo4j is the worlds leading graph database, and our Solution Engineering team are the people who help customers realise its value every day. Neo4j has proven to be the go-to data management solution in use cases such as Fraud Detection, Knowledge Graphs, Recommendation and personalisation, Risk management, Security, IT Management and Network Operations and many more. With the rise of GenAI and LLMs, graph databases have become essential infrastructure for building intelligent, contextual AI applications. In the Neo4j Sales Engineering team, we are technologists who enjoy working directly with customers in a variety of industries and with a wide range of technologies and architectures. We provide engineering and architecture leadership and development for the Neo4j-based solutions our customers are building. The responsibilities of a Sales Engineer cover a variety of tasks, starting from understanding the prospective customers needs and environment, transforming the needs into an architecture including our leading-edge graph database technology and guiding all involved parties through the sales process. Demonstrating Neo4j as a technology for specific domains, whiteboarding solution architectures, and engaging at the level of technical decision makers are examples of the day-by-day work. In this AI-focused role, youll be particularly involved in helping customers architect and implement AI-powered solutions that leverage knowledge graphs for improved accuracy, explainability, and contextual understanding. The Sales Engineer understands business terminology, thinks in technical terms and combines both sides during the entire engagement. In addition to being Graph Database experts, you will need to understand and position other architectural components in a graph-based solution, such as Big Data platforms, other NoSQL stores, relational databases, caching, messaging and middleware services taking part in a Modern Data Architecture. Youll also need to understand how Neo4j integrates with the modern AI stack, including LLM platforms, vector databases, and AI orchestration frameworks. What Youll Do: <ul> <li>Working with our customers teams, youll lead and contribute to all phases of the Neo4j PreSales projects</li> <li>Be an integral part of the Neo4j sales team, helping to persuade prospective Neo4j users of the benefits and advantages of graph database technology for AI and GenAI use cases</li> <li>Position the Neo4j technology within the customers environment and architecture, particularly in AI/ML pipelines and LLM-based applications</li> <li>Discuss solution architectures with our customers to address the technical requirements of our customers projects, including Retrieval-Augmented Generation (RAG), GraphRAG, conversational AI, and intelligent recommendation systems</li> <li>Design and build prototype solutions that demonstrate required functionality with Neo4j, including implementations of vector search, knowledge graph-enhanced RAG, and AI agent architectures</li> <li>Articulate how graph technology enhances AI outcomes through improved context, explainability, and reasoning capabilities</li> <li>Help prepare solution proposals for our customers engineering and management teams that help address the overall project goals</li> </ul> What Youll Bring: <ul> <li>5+ years working in a presales or professional services organisation</li> <li>Skilled in customer discovery, and the ability to uncover root causes of customer pain points and map these to a technical solution</li> <li>Excellent understanding and demonstrable experience with database technologies and data modelling concepts, ideally with NoSQL stores</li> <li>Strong experience with AI/ML technologies, specifically:</li> <ul> <li>Retrieval-Augmented Generation (RAG) architectures and implementation patterns</li> <li>Working knowledge of Large Language Models (LLMs) and their APIs (OpenAI, Anthropic, Google Vertex AI, Azure OpenAI, etc.)</li> <li>Vector embeddings and semantic search implementations</li> <li>Familiarity with LLM application frameworks (LangChain, LlamaIndex, or similar)</li> <li>Understanding of knowledge graph construction from unstructured data (entity extraction, relationship mapping)</li> </ul> <li>Experience articulating the business value of combining graphs with AI for improved accuracy, reduced hallucinations, and enhanced explainability</li> <li>Architecture skills - i.e. mapping business to technical requirements and understanding multiple components to build a solution, including hybrid AI architectures that combine vector and graph-based retrieval</li> <li>Software engineering experience</li> <li>Familiarity with at least one programming language (eg. Python, Java, Javascript) with Python strongly preferred for AI/ML work</li> <li>Ability to engage and interact with engineers in an advisory role</li> <li>Comfortable and quick with learning new technologies as needed</li> <li>Passionate about solving technical problems</li> <li>Capable of educating and training small groups</li> <li>Strong understanding of the sales process</li> <li>A proactive approach to keeping the technical aspects of a sales process on track</li> <li>Industry vertical experience in Government and ideally one or more of: Financial Services, Retail, Security or Pharmaceutical, Supply Chain, Manufacturing</li> <li>Excellent written and spoken English communication skills</li> <li>Ability to work independently, self-directed and remotely in a cross-functional organisation</li> <li>Ability and willingness to travel</li> <li>Native  Swedish or Swedish language required </li> </ul> Nice to Have: <ul> <li>Graph DB related experience i.e. Neo4j, other property graph or RDF platform, Gaffer, etc. is ideal</li> <li>Experience with Graph Neural Networks (GNNs) or graph-based machine learning techniques</li> <li>Knowledge of graph embeddings (Node2Vec, GraphSAGE, etc.)</li> <li>Experience with GraphRAG patterns or building agentic AI systems</li> <li>Understanding of prompt engineering and LLM optimization techniques</li> <li>Familiarity with AI use cases such as conversational AI, intelligent search, or context-aware recommendations</li> <li>Data integration: ETL, Virtualisation, federation</li> <li>BI and data visualisation (Tableau, Qlik, viz libraries: D3, viz.js, Linkurious...)</li> </ul> <div><div>Why Join Neo4j?</div> <div> Neo4j is, without question, the most popular graph database in the world. We have customers in every industry globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j.  <ul> <li>Neo4j is one of the fastest-scaling technology companies in this industry. It <a href="https://neo4j.com/press-releases/neo4j-revenue-milestone-2024/">recently surpassed $200M</a> in annual recurring revenue (ARR), doubling its ARR <a href="https://neo4j.com/press-releases/2021-company-momentum/">over the past three years.</a> </li> <li>Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history.</li> <li>84% of the Fortune 100 and 58% of the Fortune 500 use Neo4j. Examples include <a href="https://neo4j.com/case-studies/boston-scientific/">Boston Scientific</a>, <a href="https://neo4j.com/case-studies/bt/">BT Group</a>, <a href="https://neo4j.com/case-studies/caterpillar/">Caterpillar</a>, <a href="https://neo4j.com/case-studies/cisco/">Cisco</a>, <a href="https://neo4j.com/case-studies/comcast/">Comcast</a>, <a href="https://neo4j.com/case-studies/department-for-education-uk/">Department for Education UK</a>, <a href="https://neo4j.com/case-studies/ebay/">eBay</a>, <a href="https://neo4j.com/case-studies/nbc-news/">NBC News</a>, <a href="https://neo4j.com/case-studies/novo-nordisk/">Novo Nordisk</a>, <a href="https://neo4j.com/case-studies/worldline/">Worldline</a>, and <a href="https://neo4j.com/case-studies/">others</a>. </li> <li>Co-founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships, inclusiveness, innovation, and customer success.</li> <li>Countless <a href="https://neo4j.com/awards/">industry awards</a>. Massive enterprises and individual developers/data scientists love Neo4j. A strong sense of community and ecosystem is built around the platform.</li> <li>A recent Forrester Total Economic Impact™ Study cited Neo4j as delivering 417% ROI to customers. </li> <li>Neo4j was named as a Visionary in the 2023 Gartner® Magic Quadrant™ for Cloud Database Management Systems among 19 other recognized global DBMS vendors. Neo4j was also ranked as a Strong Performer among 14 top vendors in The Forrester Wave™: Vector Databases, Q3 2024.</li> </ul> <a href="https://www.bizjournals.com/bizwomen/news/profiles-strategies/2022/07/getting-the-job-how-gender-equity.html?page=all">Research</a> shows that members of underrepresented communities are less likely to apply for jobs when they don’t meet all the qualifications. If this is part of the reason you hesitate to apply, we’d encourage you to reconsider and give us the opportunity to review your application. At Neo4j, we are committed to building awareness and helping to improve these issues.  One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience. We look forward to receiving your application. </div> <div>Neo4j Values:</div> <div> Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values: (we)-[:VALUE]-&gt;(relationships) (we)-[:FOCUS_ON]-&gt;(userSuccess) (we)-[:THRIVE_IN]-&gt;(:Culture {type: [‘Open’, ‘Inclusive’]}) (we)-[:ASSUME]-&gt;(:Intent {direction:’Positive’}) (we)-[:WELCOME]-&gt;(:Discussions {nature: ‘IntellectuallyHonest’}) (we)-[:DELIVER_ON]-&gt;(ourCommitments)  Neo4j is committed to protecting and respecting your privacy. Please read the<a href="https://neo4j.com/privacy-policy/recruitment-process/?ref=hr-"> privacy notice regarding Neo4js recruitment process</a> to understand how we will handle the personal data that you provide.  More information at<a href="http://www.neo4j.com/"> www.neo4j.com</a>.</div></div>