Internship

Customer Success Operations Intern

Posted on 1/31/2025

Neo4j

Neo4j

501-1,000 employees

Graph data science software for analysis

Compensation Overview

$20 - $25Hourly

+ Stock Options + Annual Bonus

Remote in USA

The job can be performed remotely, but candidates in the San Francisco Bay Area are preferred.

Category
Customer Experience
Customer Success
Customer Support
Customer Success & Support
Sales & Account Management
Required Skills
Python
JavaScript
SQL
Data Analysis
Zapier
Requirements
  • Currently pursuing or recently completed a degree in Computer Science, Management Information Systems, Data/Analytics/Business Intelligence, or a related field
  • Experience with Retool, AppSmith, Zapier, and databases (academic, personal, or professional experience is all applicable)
  • Strong programming skills in JavaScript or Python, SQL, and API integration
  • Passion for business efficiency, process automation, and workflow optimization
  • Analytical mindset with the ability to identify inefficiencies and propose technical solutions
  • Strong communication skills and ability to collaborate with non-technical teams
Responsibilities
  • Design, develop, and optimize internal business tools using Retool, Zapier, and Neo4j’s graph database
  • Work with revenue operations, sales development, renewals, and customer success teams to understand pain points and build scalable solutions
  • Automate repetitive tasks and improve data workflows to enhance efficiency
  • Integrate APIs, databases, and third-party services to streamline operations
  • Continuously analyze and refine internal tools for usability, performance, and impact
  • Document solutions and provide support to business users
Desired Qualifications
  • Experience with databases (SQL relational DBs of any sort, Neo4j graph DB, MongoDB, Snowflake, etc.)
  • Familiarity with low-code/no-code development and automation tools
  • UI/UX experience for internal tool development

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 Size

501-1,000

Company Stage

Late Stage VC

Total Funding

$614.2M

Headquarters

San Mateo, California

Founded

2007

Simplify Jobs

Simplify's Take

What believers are saying

  • Graph Neural Networks align with Neo4j's focus, boosting its relevance in data science.
  • Integration of LLMs with graph databases enhances Neo4j's knowledge graph capabilities.
  • Rising demand for real-time analytics increases interest in Neo4j's graph databases.

What critics are saying

  • Competition from TigerGraph and Amazon Neptune threatens Neo4j's market share.
  • Technological advancements in AI require Neo4j to continuously innovate, straining resources.
  • Upcoming US IPO may increase scrutiny and pressure on Neo4j's financial performance.

What makes Neo4j unique

  • Neo4j specializes in graph data science, enhancing AI and ML model accuracy.
  • The platform supports both fully managed cloud service and self-hosted options.
  • Neo4j's software excels in analyzing complex data relationships across industries.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Retirement Plan

401(k) Company Match

Paid Vacation

Performance Bonus

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

1%

2 year growth

0%
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