Solutions Engineer (India Startup Program)

Key Responsibilities Technical Leadership for Startup Customers Serve as the primary technical point of contact for a portfolio of AI startups in the program. Guide teams in designing, building, and deploying Neo4j-based architectures. Advise on best practices for Neo4j usage across Aura and self-managed environments, including scaling, performance, and production readiness. Troubleshoot implementation challenges and help customers make sound technical tradeoffs. Graph + AI / LLM Solution Design Help startups design and implement LLM-enabled solutions using Neo4j, including RAG, knowledge graphs, and agent-based architectures. Translate customer AI requirements into concrete Neo4j-centered architectures, patterns, and implementation guidance. Work with common AI frameworks and tooling such as LangChain, LlamaIndex, PydanticAI or ADK, agent frameworks, vector search, and open-source and commercial LLMs. Identify and promote repeatable graph + AI solution patterns across the startup portfolio. Customer Success and Technical Relationship Ownership Own the ongoing technical relationship with assigned startups. Run regular check-ins, track progress, and proactively identify risks or blockers. Help customers move from early experimentation to successful production adoption. Cross-Functional Collaboration Partner closely with the Field AI team to align on architectures, patterns, and technical strategy. Feed real-world startup requirements, usage patterns, and product gaps back to Product and Field teams. Bridge product gaps where needed through third-party tools, integrations, and pragmatic solution design. Enablement and Knowledge Sharing Contribute to internal enablement content, examples, office hours, and best practices for graph + AI patterns. Share lessons learned from startup engagements with broader Field teams. Help standardize playbooks, templates, and reference implementations for the Startup Program. Required Experience and Skills Neo4j and Graph Technology Strong hands-on experience with Neo4j or other graph database, including data modeling, Cypher, clustering/topology, and performance tuning. Demonstrated ability to debug and optimize real-world implementations, including queries, data ingestion, and infrastructure decisions. Solution Engineering and Architecture Background in solutions engineering, solution architecture, professional services, customer success, or a similar customer-facing technical role. Ability to move fluidly between high-level architecture and detailed implementation guidance. Experience working with multiple stakeholders to align on a practical technical approach. Awareness of sales processes and expansion motions is a plus. AI / LLM Expertise Experience or strong interest in AI/LLMs and agentic architectures. Practical exposure to modern AI tooling, including agent frameworks, vector databases, and open-source LLMs. Familiarity with some of the following: LangChain, LlamaIndex, RAG patterns, PydanticAI, ADK, or similar frameworks. Docling, Unstructured.io , PyMuPDF. Strong curiosity and aptitude to stay current in the graph + AI landscape. Customer-Facing Communication Excellent communication and presentation skills, with the ability to explain complex technical concepts to both technical and non-technical audiences. Comfortable leading customer calls, asking probing questions, and constructively challenging design decisions. Proven customer-facing experience in a technical role. General Technical Background Strong technical foundation, ideally from pre-sales engineering, solutions engineering, or professional services. Proficiency in programming languages such as Python or Java. Familiarity with cloud platforms such as AWS, Azure, or GCP. Experience with containerization and modern application architectures. Ability to work independently and collaboratively in a fast-paced environment. Qualifications Bachelor’s degree in Computer Science, Information Technology, or a related field. Proven experience as a Solutions Engineer, Sales Engineer, Solutions Architect, or in a similar technical customer-facing role. 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