• Own the product roadmap for enterprise platform capabilities, including resilience, fault tolerance, high availability, data consistency, and disaster recovery features • Work closely with core platform engineering teams building distributed data store and streaming analytics capabilities in a Java-based, open-source environment • Partner with engineering to define, scope, and deliver features that meet the demanding reliability and performance requirements of Fortune 500 customers • Collaborate with Engineering and QA teams to ensure performance, scalability, and resiliency targets are met for customer workloads at scale • Engage with the open-source community and ecosystem to inform product direction, gather feedback, and drive adoption of Hazelcast’s open-source offerings • Become a deep product expert in Hazelcast’s real-time data platform, including in-memory data grid, streaming, and caching capabilities • Collaborate cross-functionally with Documentation, Solution Architects, Sales Engineering, and Product Marketing to translate technical capabilities into customer value • Work effectively across time zones with Europe-based engineering teams, including regular overlap with CET/GMT working hours • Champion the adoption of AI-powered tooling and agentic workflows across product management and engineering processes—from AI-assisted product discovery and specification writing to leveraging coding agents and LLM-based tools to accelerate development velocity • Build strong trust with distributed teams and effectively negotiate backlog prioritization and release planning