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Neo4J Developer Jobs in Ohio (NOW HIRING)

Neo4j

VP, Product Management - Agentic AI

London, OH · On-site

You will lead a team of Product Managers, collaborate closely with Engineering, GTM, and Research, and serve as the foremost internal champion and external voice for Neo4j's AI product vision. Key ...

Deloitte

Cyber Full-Stack Software Engineer

Dayton, OH · On-site

... DevOps, DevSecOps, web security, GitOps, or Kubernetes customization • Experience with OpenSearch, Elasticsearch, Neo4j, Memgraph, Maven, or Gradle • Experience with Bootstrap, jQuery, or ...

JPMorganChase

Lead Software Engineer

Columbus, OH · On-site

As a Lead Software Engineer, you will be responsible for architecting and implementing critical ... Neo4j • Working knowledge of enterprise messaging middleware platforms such as Apache Kafka or ...

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Neo4J Developer information

See Ohio salary details

$44.8K

$114.4K

$141.2K

How much do neo4j developer jobs pay per year?

As of Jun 14, 2026, the average yearly pay for neo4j developer in Ohio is $114,355.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,124.00 and $136,204.00 per year, depending on experience, location, and employer.

Is Neo4j in demand?

Neo4j developers are in demand due to the growing use of graph databases in areas like social networks, recommendation engines, and fraud detection. Skills in Cypher query language and graph data modeling increase employability, and many organizations seek professionals with experience in Neo4j for data-driven projects.

What is a Neo4J Developer job?

A Neo4J Developer is responsible for designing, developing, and optimizing graph database solutions using Neo4J. They work on data modeling, Cypher query optimization, and integrating Neo4J with applications. Their role involves understanding relationships between data, improving performance, and ensuring scalability. Additionally, they may collaborate with data scientists and engineers to leverage graph analytics for insights.

How much do Neo4j engineers make?

Neo4j developers typically earn between $80,000 and $140,000 annually, depending on experience, location, and certifications. Senior roles or those with specialized skills in graph databases and Cypher query language can command higher salaries.

Is Neo4j a good place to work?

As a Neo4j developer, working at a company that uses Neo4j often involves engaging with graph database technology, which is valued for its performance in handling complex relationships. The work environment can vary, but roles typically require knowledge of Cypher query language and graph data modeling. Overall, companies that adopt Neo4j often prioritize innovation and technical expertise, making it a potentially rewarding environment for developers skilled in graph databases.

What are some common challenges faced by Neo4J Developers, and how can they be addressed?

Neo4J Developers often encounter challenges such as optimizing complex queries for large datasets, ensuring data consistency, and integrating Neo4J with other systems or applications. Addressing these challenges typically involves a deep understanding of graph database performance tuning, designing scalable data models, and staying current with Neo4J updates and best practices. Collaborating closely with backend engineers, data scientists, and DevOps teams is also key to overcoming integration and architectural hurdles. With experience, many Neo4J Developers develop strong troubleshooting skills and may progress into senior developer or data architect roles.

What jobs in the US pay 300,000 a year?

In the US, senior Neo4j developers or data architects with extensive experience and specialized skills can reach or exceed a $300,000 annual salary, especially in high-demand industries like finance or technology. These roles often require advanced knowledge of graph databases, strong programming skills, and certifications, and may involve leadership responsibilities or consulting work.

What are the key skills and qualifications needed to thrive in the Neo4J Developer position, and why are they important?

To thrive as a Neo4J Developer, you need a solid background in graph database concepts, data modeling, Cypher query language, and software development (often with Java, Python, or JavaScript). Experience with Neo4J tools and platforms, as well as relevant certifications like Neo4J Certified Professional, are highly valued by employers. Strong problem-solving abilities, effective communication, and the ability to work both independently and collaboratively are important soft skills. These competencies ensure you can efficiently design, implement, and optimize graph-based solutions that support complex data relationships within modern business applications.

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Neo4J Developer jobs near you
VP, Product Management - Agentic AI

VP, Product Management - Agentic AI

Neo4j

London, OH • On-site

Other

Posted 19 days ago

Job description

The Role:

This is a pivotal role, leveraging the unique strength of graph technology to solve the critical challenge in Agentic AI: providing rich, accurate, and connected context. When context is missing, LLMs "hallucinate," agents fail, and enterprise AI stalls. Neo4j's Graph Intelligence Platform is the solution, offering the contextual foundation necessary for reliable reasoning, precise retrieval, and confident action. This insight drives our AI strategy and makes this role one of the most consequential at Neo4j.

As the VP of Product Management for Agentic AI, you will define and execute Neo4j's product strategy at the intersection of graphs and agentic AI. This is a rare opportunity to pioneer a category, shaping how developers, data scientists, and enterprises build AI applications & agents powered by knowledge graphs. You will lead a team of Product Managers, collaborate closely with Engineering, GTM, and Research, and serve as the foremost internal champion and external voice for Neo4j's AI product vision.

Key Responsibilities

  • Strategic Product Ownership: Define and own the AI product strategy, clearly articulating how the Neo4j graph platform uniquely enables key enterprise AI use cases, including Retrieval-Augmented Generation (RAG), knowledge graph construction, AI agents, and LLM grounding.
  • Team Leadership: Lead and mentor a team of product managers focused on AI-related areas, providing direction, coaching for maximum impact, and ensuring tight alignment between the product roadmap and core business outcomes.
  • End-to-End Product Lifecycle: Drive the product lifecycle from initial discovery through launch and continuous iteration. This involves translating complex customer needs, market signals, and technical constraints into clear, prioritized roadmaps.
  • Cross-Functional Collaboration: Partner closely with Engineering, Field and Research to bring novel graph + AI capabilities to market, including critical integrations with leading AI frameworks (e.g., LangChain, LlamaIndex) and cloud AI platforms.
  • Go-to-Market Strategy: Collaborate with GTM, Sales, and Marketing to shape positioning, packaging, and launch motions that resonate effectively with both technical builders and enterprise buyers.
  • Customer & Community Engagement: Engage directly with customers and the developer community to gain a deep understanding of current AI building practices and identify where Neo4j can best remove friction and unlock new value.
  • Market Intelligence: Monitor the competitive and ecosystem landscape-including LLM providers, vector databases, AI orchestration frameworks, and adjacent graph players-to identify both opportunities and potential risks.
  • External Visionary: Represent Neo4j's AI product vision externally at conferences, in analyst conversations, and with strategic partners and customers.
  • Expected travel: Up to 20%

Required Qualifications

  • Proven Product Leadership: 8+ years in product management, including at least 3 years in a senior or leadership capacity, preferably within a developer-focused or data infrastructure company.
  • Deep AI Ecosystem Knowledge: Hands-on experience building with or shipping products that incorporate LLMs, RAG pipelines, vector search, AI agents, or other related technologies.
  • Strong Technical Acumen: Comfortable engaging with engineers and architects on complex topics such as graph data modeling, embeddings, retrieval architectures, and ML pipelines. Experience with Python or a similar language is a significant plus.
  • Customer Focus: A demonstrated history of using qualitative and quantitative customer signals to drive product decisions that result in measurable business outcomes.
  • Exceptional Communication & Influence: The ability to align diverse stakeholders around a compelling vision and clearly articulate complex technical concepts to both technical and non-technical audiences.
  • Platform Experience: Understanding of developer adoption curves for new technologies and how enterprise data teams evaluate and deploy AI tooling, specifically within developer and data platforms.
  • Modern Data Ecosystem Familiarity: Experience with major cloud platforms (AWS, GCP, Azure) and modern data ecosystems, including data warehouses, ML platforms, and orchestration frameworks.
  • Education: A Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

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