Senior Solutions Engineer, Neo4j
Graph-based data analysis
Job no longer available
Graph-based data analysis
501-1000 employees
Job no longer available
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
- 5+ years working in a PreSales or Professional Services Organization
- Excellent understanding and demonstrable experience with database technologies and data modelling concepts, ideally with NoSQL stores
- Architecture skills - ie mapping a business to technical requirements and understanding multiple components to build a solution
- Software engineering experience
- Familiarity with at least one programming language (Java, Python, Javascript)
- Ability to engage and interact with engineers in an advisory roleComfortable and quick with learning new technologies as needed
- Passionate about solving technical problems
- Capable of educating and training small groups
- Strong understanding of the sales process
- A proactive approach to keeping the technical aspects of a sales process on track
- Industry vertical experience in one of: Financial Services, Retail, Government, Security or Pharmaceutical, Supply Chain, Manufacturing
- Excellent written and spoken English communication skills
- Ability to work independently, self-directed and remotely in a cross functional organization
- Ability and willingness to travel
Desirable
- Graph DB related experience ie Neo4j or other Property Graph or RDF platforms
- Data Science, AI/MLData integration: ETL, Virtualisation, federation
- BI and data visualization (Tableau, Qlik, viz libraries: D3, viz.js, Linkurious...)
What the job involves
- The responsibilities of a Sales Engineer cover a variety of tasks starting from understanding the prospective customers 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 the 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
- Working with our customers’ teams, you’ll lead and contribute to all phases of the Neo4j PreSales projects
- Be an integral part of the Neo4j sales team, helping to persuade prospective Neo4j users of the benefits and advantages of graph database technology
- Position the Neo4j technology within the customer’s environment and architecture
- Discuss solution architectures with our customers to address the technical requirements of our customers’ projects
- Design and build prototype solutions that demonstrate required functionality with Neo4j
- Help prepare solution proposals for our customer’s engineering and management teams that help address the overall project goals
Salary benchmarks
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
3% employee growth in 12 months
Company
Funding (last 2 of 10 rounds)
Nov 2024
$50m
LATE VC
Nov 2021
$66m
SERIES F
Total funding: $632.4m
Company HQ
Downtown, San Mateo, CA
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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