Senior Product Manager

Cloud Infrastructure

Posted on 4/12/2024



501-1,000 employees

Graph data platform for analytics and AI

Data & Analytics


London, UK

Required Skills
Microsoft Azure
Data Analysis
Google Cloud Platform
  • 10+ years of professional experience
  • Proven experience (3+ years) as a Product Manager in a SaaS environment, focusing on infrastructure and cost optimization
  • Strong understanding of cloud computing platforms (AWS, Azure, GCP) and experience with infrastructure-related services
  • Exceptional analytical skills and ability to translate data insights into actionable strategies
  • Excellent communication and collaboration skills, with the ability to work effectively across teams and influence stakeholders
  • Strong project management skills and ability to prioritize and manage multiple initiatives simultaneously
  • Demonstrated track record of driving results and achieving measurable outcomes in a fast-paced environment
  • Bachelor's degree in Computer Science, Engineering, Business, or a related field
  • Own the infrastructure roadmap, including instance and storage selection, benchmarking new instance types, and providing input into pricing strategies
  • Develop and own the product roadmap for infrastructure projects across various engineering teams, focusing on areas such as fleet efficiency, networking costs, storage costs, and resource tagging
  • Ensure seamless launch and availability of regions across different product tiers, collaborating closely with engineering teams as well as product marketing
  • Actively participate in the FinOps forum to drive cost-saving initiatives and optimize resource utilization
  • Analyze cloud providers’ bill components and implement cost control initiatives and best practices to optimize spending
  • Conduct in-depth analysis of cost structures across cloud platforms (AWS, Azure, GCP) to identify opportunities for optimization
  • Work closely with the product analytics team to develop reporting mechanisms for the cost domain, enabling data-driven decision-making
  • Collaborate with internal teams, including Benchmarking, SRE (Site Reliability Engineering), FP&A (Financial Planning & Analysis), and Analytics, to achieve shared goals and objectives
  • Interface with cloud providers (AWS, Azure, GCP) to stay updated on new services, pricing models, and infrastructure enhancements

Neo4j offers a Graph Data Platform, featuring a graph database, data science tools, and user tools, powered by native graph database technology for lightning-fast queries and deeper analytics context. Trusted by Fortune 500 companies and government agencies, Neo4j is known for its uncompromised performance, reliability, and security, making it the top choice for high-performance, scalable analytics and advanced AI/ML pipelines.

Company Stage

Series F

Total Funding



San Mateo, California



Growth & Insights

6 month growth


1 year growth


2 year growth