Sales Engineer, Neo4j
Graph-based data analysis
Be an early applicant
Graph-based data analysis
501-1000 employees
Be an early applicant
501-1000 employees
Company mission
To help the world make sense of big data by enabling businesses and organizations to harness the power of connections and relationships in data.
Role
Who you are
- Background: Minimum 5 years of experience in PreSales or Professional Services, preferably in automotive and manufacturing
- Database Skills: Deep understanding of database platforms, with a preference for NoSQL variants
- Solution Design: Proficiency in bridging business objectives to technical solutions
- Technical Savvy: Knowledge of software development and familiarity with languages such as Java, Python, or JavaScript
- Advisory Collaboration: Demonstrated success in guiding engineering teams from a consultative stance
- Technical Adaptability: An innate curiosity and quickness to adopt new technologies
- Problem-Solving Skills: An enthusiasm for addressing and surmounting tech-centric challenges
- Instructional Abilities: Skill in leading educational sessions for smaller cohorts
- Technical Sales Experience: Acumen in managing the technical facets of the sales process
- Communication: Excellent communication skills in English, both written and verbal
- Self-Initiative: Self-starter who thrives in a diverse, team-oriented environment
- Mobility: Willingness to travel aligned with the job demands
Desirable
- Graph Database Skills: Knowledge of graph database platforms, particularly Neo4j or similar systems
- Data Science Insight: Background in data science related to AI/machine learning
- Integration Know-how: Expertise in ETL workflows and data virtualization techniques
- Vertical Expertise: Solid track record of engaging with manufacturing and automotive customers, understanding their technical and business challenges
What the job involves
- Neo4j is the world’s leading graph database and our Sales Engineering team are the people that help customers realize its value every day
- Neo4j has proven to be the go-to data management solution in use cases such as Fraud Detection, Knowledge Graphs, Recommendation and personalisation, Risk management, Security, IT Management and Network Operations and many more
- In the Neo4j Sales Engineering team, we are technologists who enjoy working directly with customers in a variety of industries, and with a wide range of technologies and architectures
- We provide engineering and architecture leadership and development for the Neo4j-based solutions our customers are building
- The responsibilities of a Sales Engineer cover a variety of tasks starting from understanding the prospective customer's needs and environment, transforming the needs into an architecture including our leading-edge graph database technology, and guiding all involved parties through the sales process
- Demonstrating Neo4j as a technology for specific domains, whiteboarding solution architectures, and engaging at the level of technical decision-makers are examples of day-by-day work
- The Sales Engineer understands business terminology, thinks in technical terms, and combines both sides during the entire engagement
- In addition to being Graph Database experts, you will need to understand and position other architectural components in a graph-based solution, such as Big Data platforms, other NoSQL stores, relational databases, caching, messaging and middleware services taking part in a Modern Data Architecture
- Collaboration with customers: You will play a central role in Neo4j PreSales projects and foster strong partnerships with customer teams
- Sales Team Contribution: You will be a key player within the Neo4j sales department, representing the benefits of graph database solutions
- Technical Alignment: Ensure seamless integration of Neo4j solutions into the customer's technical ecosystem
- Client Consultations: Contribute to the formulation of solution recommendations that are aligned with the client's technical and business objectives
- Solution Elaboration: Develop and present Neo4j-based prototypes that exemplify desired functionalities
Our take
Innovation in database models has developed gradually over the past decade, from scale-out SQL, to key-value stores. Every now and again, something comes along to change the game, and such is the case with Neo4j.
Offered as either a self-hosted database or cloud service, Neo4j is a graph database development platform that focuses on the connections between individual data entities. This offers insights into how systems, people, locations, and seemingly unrelated data points are related so that users can address complex data questions, such as business recommendations, AI, fraud detection, and more. The company is seen as a leader in graph technology with unlimited scaling, which was demonstrated when, in 2021, it produced a record-breaking graph database with over a trillion relationships.
Graph-based data models are now crucial components for AI and machine learning applications, and Neo4j has achieved an impressive number of funding rounds and amassed hundreds of enterprise customers using its product. These include Airbnb, eBay, Lyft, and NASA, the latter of which used graph database technology from Neo4j during the development of the Orion spacecraft.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 9 rounds)
Nov 2021
$66m
SERIES F
Jun 2021
$325m
SERIES F
Total funding: $579.9m
Company values
- We value relationships
- We focus on user success
- We thrive in a culture that is open and inclusive
- We assume positive intent
- We welcome intellectually honest discussions
- We deliver on our commitments
Company HQ
Downtown, San Mateo, CA
Articles
Leadership
Emil Eifrem
(CEO)Having studied at Linköping University, they spent over 3 years as Chief Architect at Windh AB, before working as CTO for almost 5 years. They left this position in January 2007 to found Neo4j, where have worked since as CEO.
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