Role Overview

At Neo4j, our Pre-Sales 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.