Sales Engineer - Paris

Posted:
10/31/2024, 11:27:22 PM

Experience Level(s):
Mid Level ⋅ Senior

Field(s):
Sales & Account Management

Workplace Type:
Remote

About Neo4j:

Neo4j is the leader in Graph Database & Analytics, helping organizations uncover hidden relationships and patterns across billions of data connections deeply, easily and quickly. Customers use Neo4j to gain a deeper understanding and reveal new ways of solving their most pressing problems. Over 75% of Fortune 100 companies use Neo4j, along with a vibrant community of 250,000+ developers, data scientists, and architects across the globe.

At Neo4j, we’re proud to be building the technology that powers breakthrough solutions for our customers, helping them cure diseases, fight fraud, crush pandemics, and accomplish their most ambitious missions—even if it’s getting humans to Mars. Learn more at neo4j.com and follow us @Neo4j.

 
Our Vision: 

At Neo4j, we have always strived to help the world make sense of data.  

As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive.

The Role :

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.


Main Responsibilities:

  • 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.



Key Role Characteristics:

  • 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.



Beneficial Qualifications:

  • 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.


 
Why Join Neo4j?

Neo4j is, without question, the most popular graph database in the world. We have customers in every industry across the globe, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j. 

  • Neo4j is one of the fastest scaling technology companies in this industry. Well over $100M ARR and still rapidly growing.
  • Raised biggest round of funding in all of database history ($325M Series F).
  • Backed by world class investors like Google Ventures (GV), Neo4j has raised over $582M in funding and is currently valued at $2Bn. This  puts them among the most well-funded database companies in history.
  • 75% of Fortune 100 use Neo4j with more than 800 enterprise customers including Comcast, eBay, Adobe, Lyft, UBS, IBM, Volvo Cars and many more.
  • Emil Eifrem (CEO) has built an amazing culture that prides itself on relationships, inclusiveness, innovation and customer success.
  • Countless awards in the industry. Massive Enterprises and individual developers/ data scientists love Neo4j. Strong sense of community and ecosystem is built around the platform.
  • A recent Forrester Total Economic Impact Study pegged Neo4j as delivering 417% ROI to customers.

Research shows that members of underrepresented communities are less likely to apply for jobs when they don’t meet all of the qualifications. If this is part of the reason you hesitate to apply, we’d encourage you to reconsider and give us the opportunity to review your application. At Neo4j, we are committed to building awareness and helping to improve these issues. 

One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience. We look forward to receiving your application.

Neo4j Values:

Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values:

(we)-[:VALUE]->(relationships)
(we)-[:FOCUS_ON]->(userSuccess)
(we)-[:THRIVE_IN]->(:Culture {type: [‘Open’, ‘Inclusive’]})
(we)-[:ASSUME]->(:Intent {direction:’Positive’})
(we)-[:WELCOME]->(:Discussions {nature: ‘IntellectuallyHonest’})
(we)-[:DELIVER_ON]->(ourCommitments) 

Neo4j is committed to protecting and respecting your privacy. Please read the privacy notice regarding Neo4j's recruitment process to understand how we will handle the personal data that you provide. 

More information at www.neo4j.com.

Neo4j

Website: https://neo4j.com/

Headquarter Location: San Mateo, California, United States

Employee Count: 501-1000

Year Founded: 2007

IPO Status: Private

Last Funding Type: Series F

Industries: Analytics ⋅ Business Information Systems ⋅ Data Visualization ⋅ Database ⋅ Machine Learning