Full-Time

Lead Product Manager for Database Scalability

Confirmed live in the last 24 hours

Neo4j

Neo4j

501-1,000 employees

Graph data science software for analysis

Data & Analytics
Consulting
AI & Machine Learning

Senior, Expert

Remote in UK

Category
Product Management
Product
Required Skills
Sales
Product Management
Requirements
  • 10+ years of professional experience in databases and data-intensive applications, specifically for cloud and scale-out architectures and 4+ years as a Product Manager
  • A passion for bringing people together to solve genuinely challenging technology problems at the forefront of technology
  • An understanding of the user journey and buyer's journey and getting to the root cause of a need as inspiration for evolving the product vision
  • Experience with a variety of product management processes and opinions about which work and don't work
  • Real-world experience with scale-out processes, databases, database scalability, and database tooling
  • Familiarity with IT trends and the data and database landscape
  • Effective communication, with experience working across multiple time zones
Responsibilities
  • Contribute to evolving and defining the product roadmap and vision for Neo4j, specifically related to cloud scalability and availability. Including database performance for large data volume, evaluation of highly concurrent complex queries, scale-out strategies, and orchestration
  • Work closely with VP of Product Management for the Neo4j Database and Chief Product Officer to evolve the product roadmap and vision for Neo4j
  • Work with other PMs to create a unified best-in-class experience across all end-user roles.
  • Help Engineering to understand the overall vision, priorities, user requirements, and business rationale underlying the roadmap
  • Understand market directions, working closely with customers to understand their needs.
  • Measure & assess the progress of the product scalability with respect to goals and vision
  • Work with user-facing areas inside of the company, including product marketing, developer relations, sales, and field engineering, to build a better product and a better understanding of the product

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 from competitors by focusing specifically on graph data science and offering consulting and training services alongside its software, ensuring clients can effectively utilize its tools. The company's goal is to empower organizations to gain valuable insights from their data by understanding the connections between data points.

Company Stage

N/A

Total Funding

$614.2M

Headquarters

San Mateo, California

Founded

2007

Growth & Insights
Headcount

6 month growth

1%

1 year growth

10%

2 year growth

12%
Simplify Jobs

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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