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. Lead and accelerate the growth of Neo4j's graph analytics product offerings in the cloud. Own the product vision and roadmap, working with global teams in Europe and the US. Collaborate with engineering and other product teams to deliver new functionality and capabilities. Conduct market research and ensure a delightful end-to-end user experience for developers and data scientists. This role involves up to 20% travel.

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

• 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

Preferred Qualifications

• Experience some of the following types of technology: Spark, Databricks, Snowflake, GCP Cloud Run, AWS Lambda, Azure Serverless, and NoSQL databases
• Experience working across time zones and with remote teams