
Neo4j · Remote: Midwest US
About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI syste...
Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent
applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most
comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem
trusted by 84 of the Fortune 100 and supported by the world’s largest graph community. Intelligence that works. Results that
matter.
Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We
deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business.
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.
At Neo4j, our Solution Engineers are pivotal to our company’s success. As a member of our regional go-to-market team, you will
partner with our sales executives, working closely with clients to showcase how the Neo4j Graph Intelligence Platform addresses
their critical business needs. Neo4j Solution Engineers play a central, hands-on role as clients consider and evaluate Neo4j
technology, and support customers in an advisory capacity throughout their journey to value realization. SE’s work with
organizations across industries such as Financial Services, Telecommunications, Technology and Life Sciences understand the
business and technical value of representing data using Neo4j graph database and analytics technology. You will grow as a thought
leader in graphs and solve our customers’ high-value problems beyond traditional data solutions.
technology solutions that target those needs, and all in all, demonstrate thought leadership and the value of Neo4j through
platform and use case demonstrations, solution architecting, workshops, and conferences.
technical perspective and accelerate the sales cycle and adoption of Neo4j.
customers and ensure a seamless customer experience as they embark on the graph journey.
advocate for our products and services
discovery, presentations, platform and use case demonstrations, proof of value, sizing, and documentation of technical decision
criteria.
what they can achieve with Neo4j.
and applications within a public cloud (AWS, Azure, or GCP) or on-premise environment.
services.
shows.
Consultant, etc), ideally in a similar high-growth, scaling environment.
analytics, data science or cloud data architecture.
Python, Java, JavaScript, Go, C#.
on-premise.
whiteboarding, and platform demonstrations.
management.
The annual on target earnings range for this position based in the United States is listed below. This range is an estimate, and
the actual on target earnings may vary based on Neo4j’s compensation practices, job related skills, depth of experience, relevant
certifications and trainings, in addition to geographic location. Based on the factors above, Neo4j utilizes the full width of the
range.
In addition to the range below, US employees are eligible for a stock option grant and certain roles are eligible for an annual
bonus. Employees in this position are also eligible to participate in the Company’s standard benefit programs, which currently
include the following: medical, dental, and vision benefits, 401(k), paid time off, and certain leaves of absence.
Annual On Target Earnings Range
Why Join Neo4j?
Neo4j is, without question, the most popular graph intelligence platform 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.
revenue (ARR), doubling its ARR over the past three years.
(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.
Comcast, Department for Education UK, eBay, NBC News, Novo Nordisk, Worldline, and others.
customer success.
community and ecosystem is built around the platform.
Research 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.
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]->(relationships)
(we)-[:FOCUS_ON]->(userSuccess)
(we)-[:THRIVE_IN]->(:Culture {type: [‘Open’, ‘Inclusive’]})
(we)-[:ASSUME]->(:Intent {direction:’Positive’})
(we)-[:WELCOME]->(:Discussions {nature: ‘IntellectuallyHonest’})
(we)-[:DELIVER_ON]->(ourCommitments)
Neo4j is committed to protecting and respecting your privacy. Please read the privacy notice regarding Neo4j's recruitment process
to understand how we will handle the personal data that you provide.
More information at www.neo4j.com.
©2026 Neo4j, Inc., Neo Technology®, Neo4j®, Cypher®, Neo4j Bloom™, Neo4j Graph Data Science Library™, Neo4j® Aura™, and Neo4j®
AuraDB™ are registered trademarks or a trademark of Neo4j, Inc. All other marks are owned by their respective companies.
REQ ID FEQ327R16 Location: Central US We are looking for pre-sales professionals who have a successful track record helping large enterprises become more data-driven. Working with the Enterprise Account Executive (AE), the Sr. Solutions Engineer defines and directs the technical strategy for our largest and important accounts, leading to more widespread use of our products and wider and deeper adoption of ML & AI. You will lean upon your background in value selling, technical account management and technical leadership to maximize success in these accounts. While you work with a team that includes hands-on resources who will build proofs of concept and demonstrate Databricks' products, you need to be technical and must understand the relevance and application of ML & AI within a range of use cases important to the target accounts in the greater region. The impact you will have: * You work with multiple clients as the main technical voice for Databricks. * You help guide your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy. * You implement the technical strategy in the account, in close understanding of the strategy. * You build a movement of technical champions within the account. * You align technical strategies around Databricks solutions. * You work with your sales team and technical peers to drive business outcomes for our clients. What we look for: * Proficiency at establishing virtual teams, and leading them to ultimate success within the account. * Experience working very large (> $1m ARR), global accounts. * Form relationships with executives and influencers. * Present a convincing point-of-view to important decision-makers that leads them down a path of success. * Technical in big data, data science and cloud (Azure, AWS, GCP). * An ability in data-driven business transformation, and driving change with data. * Production programming experience in Python, R, Scala or Java. * Nice to have: Databricks, Snowflake, AWS, Azure, or GCP Certification. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 2 Pay Range $152,300—$209,450 USD Zone 3 Pay Range $152,300—$209,450 USD Zone 4 Pay Range $152,300—$209,450 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community. Intelligence that works. Results that matter. Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business. 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. ROLE OVERVIEW At Neo4j, our Solution Engineers are pivotal to our company’s success. As a critical member of our Financial Services & Insurance 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 companies in the financial sector understand and prove the value of Neo4j for critical use cases and next-generation solutions. You will grow as a thought leader and help paint the vision for how we can provide for new capabilities and solve new high-value problems beyond traditional data solutions. WHAT SUCCESS LOOKS LIKE * Developing and honing subject matter expertise to effectively discern and understand the true needs of our customers, present technology solutions that target those needs, and all in all, 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, 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 * Confidently articulate the business and technical value of Neo4j to customers and prospects as a key technical advisor and advocate for our products and services * Actively drive and run the technology evaluation stage of the sales cycles. * 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 Neo4j capabilities, including but not limited to usage and integration with third-party tools and services. * 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 as needed to assist in deal creation and closure, and provide support to your team as required. WHAT YOU’LL BRING * 5+ years of customer-facing experience in a similar capacity (Sales/Pre-sales/Solutions Engineer, Solutions Architect, Technical Consultant, etc), ideally in a similar high-growth, scaling environment. * Experience working with different data technologies in either of the following areas: enterprise data architecture, data analytics, data science or cloud data architecture. * Working knowledge of graph databases (Neo4j, TigerGraph, OrientDB, JanusGraph, etc) - a strong plus! * Hands-on experience and proficiency with relational (SQL) and/or NoSQL databases, and at least one of the following languages: Python, Java, JavaScript or Go. * Familiarity with GenAI, LLM’s and Agentic AI is a must * 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, white-boarding, and platform demonstrations. * Communication skills to translate technical concepts into valuable business outcomes in the financial space. Knowledge of financial services and/or insurance required to sell the prominent role of graph DBs in their future tech strategy. * 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. The annual on target earnings range for this position based in the United States is listed below. This range is an estimate, and the actual on target earnings may vary based on Neo4j’s compensation practices, job related skills, depth of experience, relevant certifications and trainings, in addition to geographic location. Based on the factors above, Neo4j utilizes the full width of the range. In addition to the range below, US employees are eligible for a stock option grant and certain roles are eligible for an annual bonus. Employees in this position are also eligible to participate in the Company’s standard benefit programs, which currently include the following: medical, dental, and vision benefits, 401(k), paid time off, and certain leaves of absence. Annual On Target Earnings Range $200,000—$265,000 USD Why Join Neo4j? Neo4j is, without question, the most popular graph intelligence platform 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. * Neo4j is one of the fastest-scaling technology companies in this industry. It recently surpassed $200M in annual recurring revenue (ARR), doubling its ARR over the past three years. * 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. * 84% of the Fortune 100 and 58% of the Fortune 500 use Neo4j. Examples include Boston Scientific, BT Group, Caterpillar, Cisco, Comcast, Department for Education UK, eBay, NBC News, Novo Nordisk, Worldline, and others. * Co-founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships, inclusiveness, innovation, and customer success. * Countless industry awards. Massive enterprises and individual developers/data scientists love Neo4j. A strong sense of community and ecosystem is built around the platform. * A recent Forrester Total Economic Impact™ Study cited Neo4j as delivering 417% ROI to customers. Research 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. Neo4j Values: 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]->(relationships) (we)-[:FOCUS_ON]->(userSuccess) (we)-[:THRIVE_IN]->(:Culture {type: [‘Open’, ‘Inclusive’]}) (we)-[:ASSUME]->(:Intent {direction:’Positive’}) (we)-[:WELCOME]->(:Discussions {nature: ‘IntellectuallyHonest’}) (we)-[:DELIVER_ON]->(ourCommitments) Neo4j is committed to protecting and respecting your privacy. Please read the privacy notice regarding Neo4j's recruitment process to understand how we will handle the personal data that you provide. More information at www.neo4j.com. ©2026 Neo4j, Inc., Neo Technology®, Neo4j®, Cypher®, Neo4j Bloom™, Neo4j Graph Data Science Library™, Neo4j® Aura™, and Neo4j® AuraDB™ are registered trademarks or a trademark of Neo4j, Inc. All other marks are owned by their respective companies.
CSQ327R59 As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: * Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration * Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer * Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. * Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. * Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. * Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. * Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. * Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: * 6+ years experience in data engineering, data platforms & analytics, or software engineering * Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks * Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one * Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals * Familiarity with CI/CD for production deployments * Working knowledge of MLOps, ML/AI models and AI APIs * Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. * Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. * Documentation and white-boarding skills. * Experience working with enterprise clients and managing conflicts across a broad stakeholder range * Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. * Travel to customers 20% of the time * Databricks Certification Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range $182,000—$250,208 USD Zone 2 Pay Range $182,000—$250,208 USD Zone 3 Pay Range $182,000—$250,208 USD Zone 4 Pay Range $182,000—$250,208 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.