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Salary: USD 200,000 - 265,000 / annual
Neo4j is a graph intelligence platform used by 84 of the Fortune 100 to transform data into knowledge for AI systems and intelligent applications. The company has surpassed $200M in annual recurring revenue and raised over $600M in funding.
As a Senior Pre-Sales Engineer focused on Financial Services & Insurance, you will be a critical member of the go-to-market team, partnering with sales executives to showcase Neo4j's graph data platform and manage the technical aspects of the sales cycle. You will help financial services and insurance companies understand and prove the value of Neo4j for critical use cases and next-generation solutions, positioning yourself as a thought leader in the space.
Key responsibilities include:
- Develop subject matter expertise to understand customer needs and demonstrate Neo4j's value through platform demonstrations, solution architecting, workshops, and conferences
- Meet and exceed regional revenue goals by qualifying and validating opportunities from a technical perspective, accelerating sales cycles and adoption
- Articulate business and technical value to customers and prospects as a key technical advisor
- Drive and run the technology evaluation stage of sales cycles, managing opportunity qualification, technical discovery, presentations, proof-of-value engagements, and sizing
- Build rapport with customer stakeholders at all levels and serve as a trusted advisor
- Co-create reference and solution architectures, integrating Neo4j with existing customer infrastructure on AWS, Azure, GCP, or on-premise
- Stay current on Neo4j capabilities and third-party integrations
- Distill customer needs and product feedback to Product Management, Engineering, Marketing, and Sales
- Drive demand through account-based marketing events and industry conferences
- Travel as needed to support deal creation and closure
Requirements:
- 5+ years of customer-facing experience in sales, pre-sales, solutions engineering, solutions architecture, or technical consulting, ideally in a high-growth, scaling environment
- Experience with data technologies in enterprise data architecture, data analytics, data science, or cloud data architecture
- Working knowledge of graph databases (Neo4j, TigerGraph, OrientDB, JanusGraph, etc.) strongly preferred
- Hands-on proficiency with relational (SQL) and/or NoSQL databases, and at least one programming language: Python, Java, JavaScript, or Go
- Familiarity with GenAI, LLMs, and Agentic AI required
- Successful track record designing, developing, and implementing data solutions in public cloud (AWS, Azure, GCP) or on-premise environments
- Ability to engage and communicate ideas to both technical and non-technical audiences through presentations, whiteboarding, and platform demonstrations
- Strong communication skills to translate technical concepts into business outcomes in the financial services space
- Knowledge of financial services and/or insurance required to articulate the role of graph databases in their technology strategy
- Passion for learning new technologies, developing new data modeling approaches, and driving change management
- Entrepreneurial mindset with ability to prioritize, pivot, and problem-solve
- Ability to collaborate effectively with Sales, Professional Services, Product Management, and other teams
