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Full-Time

Enterprise Sales

London

Posted on 6/11/2024

Neo4j

Neo4j

501-1,000 employees

Graph data science software and services

Data & Analytics
Consulting
AI & Machine Learning

Expert

London, UK

Requires onsite presence in London for client meetings.

Category
Strategic Account Management
Sales & Account Management
Required Skills
Sales
SQL
Salesforce
Marketing
Requirements
  • 8-10 years experience in the tech industry
  • Coursework in database, SQL, computer programming, Computer Information Systems, Computer Science, Electrical Engineering, or similar
  • Experience selling information management tools to customers in the enterprise market
  • 7+ years of consistent success meeting or exceeding sales objectives selling technical solutions and software products into the enterprise market
  • Experience in working with Life Science and Manufacturing
  • Demonstrable experience executing enterprise complex sales strategies and tactics
  • Experience with the commercial open-source business model
  • Previous experience in a high growth software company
  • Strong conviction on graph solutions in the enterprise marketplace
  • Ability to work remotely and travel to client sites
  • Excellent references from previous Sales managers
  • Proficiency in corporate productivity tools
Responsibilities
  • Develop and execute a territory plan based on target agencies and use cases
  • Develop expert knowledge of Neo4j solutions and applicability in the target market
  • Present benefits of graph technology to customers
  • Execute sales cycles using Strategic Selling strategies
  • Build and present proposals for Neo4j solutions
  • Work with Pre-Sales Engineering resources for POCs
  • Grow business in accounts
  • Provide guidance to SDR, Field Marketing, and Channel Director
  • Maintain Salesforce CRM system with accurate information

Neo4j specializes in graph data science, providing tools that enable data scientists to analyze relationships within connected data. Its main product is software designed to help users explore and analyze complex data relationships, which is particularly beneficial in sectors like finance, healthcare, and social media. This software enhances the accuracy of machine learning models and supports contextual AI, allowing for improved predictions based on existing data. Neo4j differentiates itself by offering not only software licenses but also consulting and training services to assist clients in effectively utilizing graph data science. The company's goal is to empower a wide range of clients, from small businesses to large corporations, to gain valuable insights from their data through better understanding of connections.

Company Stage

Series F

Total Funding

$581.6M

Headquarters

San Mateo, California

Founded

2007

Growth & Insights
Headcount

6 month growth

6%

1 year growth

13%

2 year growth

11%
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Simplify's Take

What believers are saying

  • Neo4j's recognition as a Visionary in the Gartner Magic Quadrant highlights its strong market position and growth potential.
  • Strategic partnerships with industry giants like AWS and Microsoft can drive significant advancements in generative AI and data solutions.
  • The company's broad client base across various industries ensures diversified revenue streams and resilience against market fluctuations.

What critics are saying

  • The niche focus on graph data science may limit Neo4j's market appeal compared to more generalized data science platforms.
  • Dependence on strategic partnerships for growth could pose risks if these collaborations face challenges or dissolve.

What makes Neo4j unique

  • Neo4j specializes in graph data science, a niche yet powerful area of data analysis that sets it apart from general data science and AI companies.
  • Their collaboration with major cloud providers like Microsoft and AWS enhances their platform's capabilities and reach, distinguishing them from competitors.
  • Neo4j's focus on security, exemplified by features like Customer Managed Keys for Neo4j Aura, provides a competitive edge in enterprise data management.

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