Neo4j is the graph intelligence platform that transforms data into knowledge to power intelligent applications and AI systems. The Solutions Engineer plays a crucial role in partnering with sales executives to showcase how Neo4j technology meets client needs, providing technical insights and support throughout the customer journey.
Responsibilities:
- 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
Requirements:
- 5+ years of customer-facing experience in a similar capacity (Sales/Presales/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
- Familiarity with graph data technology is essential. Working knowledge of Neo4j is 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, Go, C#
- 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, whiteboarding, and platform demonstrations
- Technical savviness and business acumen to translate technical concepts and patterns into valuable business outcomes
- 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