Jobs at Neo4j

Lead enterprise sales and new customer acquisition across Tier-1 banking and global capital markets accounts. Develop territory strategies, manage complex sales cycles, deliver product demonstrations and proposals, close and expand strategic accounts, and build C-level relationships. Partner with SDRs, marketing, cloud providers, solution architects, customer success, and channel partners. Focus on financial-services use cases including fraud detection, AML, risk management, data warehousing, and AI/ML.

Lead presales engagements with strategic and enterprise customers, translating business requirements into Neo4j solution architectures. Design prototypes, conduct technical demonstrations and workshops, provide architectural guidance, support proofs of value, and ensure successful integration and adoption. Partner with account executives throughout enterprise sales cycles while building relationships with technical decision-makers across multiple industries.

Drives outbound enterprise pipeline across India and APAC by mapping target accounts, researching technical and business stakeholders, executing multi-channel prospecting, and conducting technical discovery. The role partners with Account Executives, qualifies opportunities using structured sales methodologies, documents account intelligence in Salesforce and Outreach, and consistently meets pipeline, meeting, and activity KPIs.

Develop and maintain distributed components of the Neo4j database, including high availability, consistency, scalability, and deployment features. Build functionality across the database and managed Aura service, collaborate with support engineers, SREs, product managers, and distributed teams, troubleshoot complex production issues, and contribute to high-performance Java systems, Kubernetes operators, and stateful distributed architectures.

Designs and deploys production-grade AI solutions combining Neo4j knowledge graphs, LLMs, and orchestration frameworks. The role advises strategic customers, translates business needs into technical architectures, writes and optimizes application code, manages implementation scope and delivery, and collaborates with cloud partners. It also includes customer workshops, internal enablement, documentation, thought leadership, and continuous evaluation of emerging generative AI technologies.

Leads complex consulting projects from inception through delivery, partnering with clients to assess needs, design and architect technical solutions, implement and troubleshoot environments, and provide training. The role mentors junior engineers, collaborates with sales, product, and customer success teams, monitors technology trends, and produces project documentation. Strong communication, technical problem-solving, project management, and willingness to travel to client sites are required.

Own global tax compliance, planning, and treasury operations for a high-growth software company. Responsibilities include tax provisions, transfer pricing, indirect taxes, audits, cash management, banking relationships, debt administration, foreign exchange exposure, intercompany funding, liquidity forecasting, controls, and process improvements. The role partners with Accounting, FP&A, Legal, and external advisors while building scalable, audit-ready processes across international entities.

Lead presales engagements with enterprise customers by understanding requirements, designing Neo4j-based solution architectures, building prototypes, conducting demonstrations and workshops, and guiding proof-of-value initiatives. Partner with account executives and technical stakeholders to communicate business value, ensure integration into customer environments, and support adoption throughout the customer lifecycle. Apply expertise in databases, NoSQL, programming, graph technologies, AI architectures, and complex enterprise IT environments.

Build and improve developer experience for Neo4j’s Aura cloud platform. Support engineering teams with onboarding, documentation, workflows, tooling, and developer-facing services. Maintain AI agent skills and instructions, evaluate AI-assisted development workflows, and collaborate with delivery and platform teams. The role requires Golang, Kubernetes and container literacy, CI/CD and Git experience, strong technical writing, and an interest in solving developer pain points.

Build and improve developer experience for Neo4j’s Aura cloud platform. Help engineering teams onboard, develop, test, and run software in Aura through tooling, documentation, workflows, and hands-on support. Maintain AI coding-agent instructions and skill files, evaluate AI development workflows, and collaborate with software delivery and platform teams. The role requires Go development, Kubernetes and container literacy, CI/CD and Git expertise, clear technical writing, and a focus on developer onboarding and usability.

Designs, builds, and maintains Neo4j connectors for databases, data warehouses, streaming platforms, and data-processing systems. Develops streaming and data-ingestion APIs, contributes to core database features, and supports Kubernetes-based deployments. The role may also involve building customer-facing frontends. Candidates should have production software development experience, multithreaded systems expertise, and backend programming experience with Kotlin, Java, or Go.

Designs, builds, and maintains Neo4j connectors across streaming, data processing, cloud data warehouse, and on-premises technologies. Develops multi-threaded systems, data ingestion APIs, and backend components, collaborates on core database features, and occasionally creates connector frontends. The role involves technologies including Kafka, Spark, Beam, Kubernetes, and cloud data platforms.

Build and maintain highly available, scalable infrastructure for Neo4j Aura database instances. Develop full-stack features across backend services and frontend applications, including HTTP APIs, data persistence, asynchronous processing, third-party integrations, customer tooling, and deployment pipelines. Work with Python and Go services, JavaScript/TypeScript and React, Kubernetes, Docker, and cloud platforms while collaborating across distributed teams and applying automated testing.

Develop and improve Neo4j and Aura developer interfaces, including GraphQL libraries, APIs, MCP servers, CLI tools, and developer tooling. Design and architect new tools and APIs, participate in the full software development lifecycle and support activities, and collaborate with product managers and engineering teams. The role requires production software development experience, proficiency in Go and TypeScript, interest in API design, and a focus on high-quality, well-tested code.

Owns IBM partner enablement for Neo4j by structuring and adapting sales and technical collateral, developing curricula, and delivering training, workshops, and partner sessions. Collaborates with Product Marketing, Sales, Product, Support, and partner management teams to align enablement with revenue priorities. Tracks training completion, engagement, satisfaction, readiness, coverage, and joint pipeline impact while managing multiple content workstreams and stakeholders.

Conduct research and end-to-end development of Aurendil, a next-generation graph database runtime. Responsibilities span theoretical design, query language and database architecture, implementation, system evaluation, and communicating findings to Neo4j product teams and the academic research community. The role targets post-doctoral researchers with systems research backgrounds in databases, compilers, programming languages, parallel or distributed computing, managed runtimes, or hardware acceleration.

Own the platform architecture and Neo4j strategy for GraphAware Hume, optimizing Cypher queries, graph models, and scalable access patterns. Lead cross-team technical direction, mentor engineers, build secure APIs, and orchestrate graph analytics workflows. Partner with product managers on technical roadmaps, evaluate Neo4j ecosystem updates, and support migrations. The role also involves backend development in Java and Spring, CI/CD, Docker, security, cloud-native practices, and potentially GraphRAG, Kafka, and distributed systems.

Consulting Engineer responsible for designing and delivering Neo4j graph solutions for enterprise customers throughout the implementation lifecycle. Duties include graph data modeling, solution architecture, data engineering, AI and analytics integration, technical advising, customer training, proposal development, and mentoring. The role collaborates with customer engineering, AI, data, sales, and support teams, requiring strong software development, deployment, communication, and consulting skills. Travel to client sites may be required.

Build and enhance GraphAware Hume, a graph-powered analytics platform. Responsibilities include developing APIs, designing secure and scalable access-control systems, orchestrating workflows for graph analytics and real-time insights, optimizing application performance, contributing to architecture and technical design, and collaborating with distributed engineering teams.

Architect and build the AI layer for Neo4j’s Hume Maestro platform. Responsibilities include setting the AI technical roadmap, contributing hands-on to production code, designing scalable AI architectures, establishing model evaluation and deployment practices, integrating AI with front-end and platform systems, and collaborating with Product and Science stakeholders. The role may eventually evolve into leading and mentoring a dedicated AI engineering team.