Product Manager

Summary

Join Neo4j as a Product Manager for Graph Analytics in EMEA, focusing on Sweden, the UK, Germany, France, Spain, Italy, or the Netherlands. You will lead the growth of Neo4j's graph analytics offerings in the cloud, working with global teams in Europe and the US. This role involves understanding customer needs, collaborating with engineering on product development, conducting market research, and working across various product teams. The ideal candidate possesses 8+ years of experience, including 3+ years in product management, a strong understanding of cloud platforms and data analytics, and excellent communication skills. Neo4j offers a fast-paced, innovative environment with significant growth opportunities within a leading graph database company.

Requirements

• 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

Responsibilities

• Work 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
• Understand and improve serverless cloud offerings for running analytical workloads
• Collaborate 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
• Help Engineering to understand not only the user requirements but the business reason underlying the requirements and their relative priority
• Conduct market research related to data science and serverless data analytics

Preferred Qualifications

• 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