Own the enterprise platform roadmap for resilience, reliability, and performance. Define and deliver distributed-systems features with engineering, ensure scalability and fault tolerance at scale, engage the open-source community, translate technical capabilities into customer value, and champion AI tooling while collaborating across time zones and cross-functional teams.
Hazelcast is looking for an experienced Senior Product Manager to drive the strategy and delivery of enterprise-grade platform capabilities. In this role, you will own the roadmap for resilience, reliability, and performance features that our largest customers depend on—working at the intersection of distributed systems, Java-based infrastructure, and open-source community engagement.
You will partner closely with engineering teams based primarily in Europe, requiring comfort with cross-timezone collaboration and occasional overlap with European working hours. This is a high-impact role for someone who thrives in technically deep product work and wants to shape the future of real-time data infrastructure.
You will partner closely with engineering teams based primarily in Europe, requiring comfort with cross-timezone collaboration and occasional overlap with European working hours. This is a high-impact role for someone who thrives in technically deep product work and wants to shape the future of real-time data infrastructure.
WHAT YOU’LL DO
• 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.
• 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.
WHAT YOU HAVE
• 5+ years of Product Management experience with enterprise software platforms
• First-hand experience working with distributed systems, database internals, or middleware—you should be comfortable with topics like replication, consistency guarantees, shared-nothing architectures, threading models, and fault-tolerance patterns
• Strong background working in Java-based technology environments; familiarity with the Java ecosystem, JVM performance characteristics, and enterprise Java frameworks
• Demonstrated experience delivering resilience and reliability features for enterprise-grade products (e.g., high availability, disaster recovery, data replication, failover mechanisms)
• Experience working with or contributing to open-source projects; understanding of open-source community dynamics, licensing, and go-to-market considerations
• A computer science or related technical degree; advanced technical degree is a plus
• Exceptional verbal and written communication skills with the ability to translate complex technical concepts for diverse audiences
• Data-driven and analytical mindset with strong product discovery and validation skills
• Hands-on experience using AI tools and agents to enhance product management and engineering workflows (e.g., LLM-based coding assistants, AI agents for research and analysis, automated testing and documentation tooling)
• Proven track record of building trust and collaborating effectively with remote, globally distributed engineering teams
Nice to Have
• Proficiency in one or more European languages (e.g., German, French, Turkish, Polish,
or others) in addition to English
• Experience working directly with European enterprise customers or across EU markets
• Familiarity with cloud-native infrastructure (Kubernetes, containers, managed cloud services) and how enterprise platforms are deployed in hybrid or multi-cloud environments
• Experience with real-time or event-driven architectures, stream processing, or in-memory computing technologies
• Track record of driving AI/ML integration into product strategy or engineering operations
at a previous organization
• Background in pricing and packaging for enterprise platform products
• First-hand experience working with distributed systems, database internals, or middleware—you should be comfortable with topics like replication, consistency guarantees, shared-nothing architectures, threading models, and fault-tolerance patterns
• Strong background working in Java-based technology environments; familiarity with the Java ecosystem, JVM performance characteristics, and enterprise Java frameworks
• Demonstrated experience delivering resilience and reliability features for enterprise-grade products (e.g., high availability, disaster recovery, data replication, failover mechanisms)
• Experience working with or contributing to open-source projects; understanding of open-source community dynamics, licensing, and go-to-market considerations
• A computer science or related technical degree; advanced technical degree is a plus
• Exceptional verbal and written communication skills with the ability to translate complex technical concepts for diverse audiences
• Data-driven and analytical mindset with strong product discovery and validation skills
• Hands-on experience using AI tools and agents to enhance product management and engineering workflows (e.g., LLM-based coding assistants, AI agents for research and analysis, automated testing and documentation tooling)
• Proven track record of building trust and collaborating effectively with remote, globally distributed engineering teams
Nice to Have
• Proficiency in one or more European languages (e.g., German, French, Turkish, Polish,
or others) in addition to English
• Experience working directly with European enterprise customers or across EU markets
• Familiarity with cloud-native infrastructure (Kubernetes, containers, managed cloud services) and how enterprise platforms are deployed in hybrid or multi-cloud environments
• Experience with real-time or event-driven architectures, stream processing, or in-memory computing technologies
• Track record of driving AI/ML integration into product strategy or engineering operations
at a previous organization
• Background in pricing and packaging for enterprise platform products
BENEFITS
- Unlimited PTO
- Medical/Dental/Vision Insurance
- HSA/FSA
- Basic & Supplemental Life & AD&D insurance
- Short & Long-term Disability Insurance
- 401k
- EAP (Employee Assistance Program)
About
The world's largest leading companies trust Hazelcast and its unified real-time data platform to take instant action on streaming data. With a stream processing engine and fast data store integrated into a single solution, businesses can simplify real-time architectures for next-gen applications and AI/ML departments to drive new revenue, mitigate risk, and operate efficiently - at a low TCO. To learn more about Hazelcast, or to join our community of CXOs, architects, and developers at brands such as HSBC, JPMorgan Chase, Volvo, New York Life, Domino's, and others, visit hazelcast.comEqual Opportunities at HazelcastWe welcome people from all backgrounds, ethnicities, races, religions, gender, sexual identities, abilities, and personal circumstances, in a spirit of inclusivity and belonging.We are proud to be an equal opportunities employer, and believe we see strength in diversity. If you require any accommodation to assist you in the interview process, please submit this with your application.We offer competitive salaries with a flexible, empathetic and highly collaborative working environment. If you are motivated by the prospect of a career with a forward-thinking tech company, we'd love to hear from you.
Hazelcast Palo Alto, California, USA Office
350 Cambridge Ave, Palo Alto, United States, 94306
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