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 the growth of Neo4j's graph data science and Aura offerings. Collaborate with global teams to understand customer needs and work with engineering to deliver a seamless experience for developers and data scientists. Improve serverless cloud offerings for analytical workloads and collaborate on product vision and roadmap creation. Conduct market research and expect up to 20% travel. This role offers the chance to be at the forefront of data science and analytics capabilities in the cloud, working for a rapidly growing, well-funded company with a strong global presence.

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

• 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
• Understanding and improving serverless cloud offerings for running analytical workloads
• 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