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About Neo4j
Neo4j is the leader in Graph Database & Analytics, helping organizations uncover hidden patterns and relationships across billions of data connections deeply, easily, and quickly. Customers use Neo4j to gain a deeper understanding of their business and reveal new ways of solving their most pressing problems. Over 84% of Fortune 100 companies use Neo4j, along with a vibrant community of 250,000+ developers, data scientists, and architects across the globe.
About Neo4j
Neo4j is the leader in Graph Database & Analytics, helping organizations uncover hidden patterns and relationships across billions of data connections deeply, easily, and quickly. Customers use Neo4j to gain a deeper understanding of their business and reveal new ways of solving their most pressing problems. Over 84% 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 build the technology that powers breakthrough solutions for our customers. These solutions have helped NASA get to Mars two years earlier, broke the Panama Papers for the ICIJ, and are helping Transport for London to cut congestion by 10% and save $750M a year. Some of our other notable customers include Intuit, Lockheed Martin, Novartis, UBS, and Walmart.
Neo4j experienced rapid growth this year as organizations looking to deploy generative AI (GenAI) recognized graph databases as essential for improving it’s accuracy, transparency, and explainability. Growth was further fueled by enterprise demand for Neo4j’s cloud offering and partnerships with leading cloud hyperscalers and ecosystem leaders. Learn more at neo4j.com and follow us on LinkedIn.
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
We’re looking for an experienced Product Manager for Neo4j’s Graph Analytics offerings in the EMEA region, specifically in Sweden, the UK (England), Germany, France, Spain, Italy, or The Netherlands. This is an opportunity to be on the leading edge of providing data science and analytics capabilities to customers in the cloud.
As a Product Manager for Neo4j, you will work with a global team in Europe and the US to lead and accelerate the growth of Neo4j as the company evolves its broader product and solution offering.
Responsibilities
* Own the vision and roadmap for Neo4j's Graph Analytics product, serving as the product champion for serverless cloud offerings that power advanced analytical workloads at scale
* Working within the Graph Data Science and Aura teams to understand the needs and requirements of existing customers, prospects, and partners
* Work closely with the engineering team to provide a delightful end-to-end experience for developers, data analysts, data scientists, and machine learning engineers working on graph technology. This includes integrations with the broader ecosystem of cloud service providers.
* Collaborating with product managers in the adjoining database, user tools, and GenAI product teams on product vision, roadmap creation, and execution to deliver new functionality and capabilities
* Helping Engineering to understand not only the user requirements but the business reason underlying the requirements and their relative priority
* Conducting market research related to data science and serverless data analytics
* Up to 20% travel expected
Key Skills And Experience
* 8+ years of professional experience, including 3 years working in product management roles
* Solid understanding of cloud service platforms and their related offerings in data analytics, data science, and serverless solutions
* Familiarity with enterprise data volumes and production workloads
* Experience with cloud architectures and modern data science programming (ex., Python)
* Excellent communication skills, ability to synthesize divergent inputs into requirements
* Experience some of the following types of technology: Spark, Databricks, Snowflake, GCP Cloud Run, AWS Lambda, Azure Serverless, and NoSQL databases. (not all required)
* Experience working across time zones and with remote teams preferred
Seniority level
* Seniority levelAssociate
Employment type
* Employment typeFull-time
Job function
* Job functionProduct Management and Marketing
* IndustriesIT Services and IT Consulting and Software Development
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