Director, Product Management

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Hazelcast

WebsiteLinkedInAlle Stellen

51 - 200 Mitarbeiter

Gegründet 2008

🏢 Unternehmen

🤖 Künstliche Intelligenz

☁️ SaaS

Enterprise • Artificial Intelligence • SaaS

Hazelcast ist eine führende Echtzeit-Datenplattform, die einzigartig einen schnellen Datenspeicher und eine verteilte Rechenmaschine in einem System vereint. Sie bietet Lösungen für Stream-Verarbeitung, ereignisgesteuerte Architekturen und Echtzeit-AI/ML-Automatisierung. Die Plattform ist bestens geeignet für Unternehmensarchitekturen und cloud-unabhängige Bereitstellungen und bietet hohe Leistung, Resilienz und Skalierbarkeit. Hazelcast bedient verschiedene Branchen wie Finanzdienstleistungen, E-Commerce und Gesundheitswesen, und hilft Unternehmen dabei, ihre Datenarchitektur zu modernisieren, die Zahlungsabwicklung zu verbessern und die Betrugserkennung zu optimieren. Das Unternehmen integriert sich zudem mit Apache Kafka und Redis, um die Datenverarbeitungskapazitäten zu verbessern.

Beschreibung

• 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

🎯 Anforderungen

• 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 • Proficiency in one or more European languages (e.g., German, French, Turkish, Polish, or others) in addition to English (Nice to Have) • Experience working directly with European enterprise customers or across EU markets (Nice to Have) • Familiarity with cloud-native infrastructure (Kubernetes, containers, managed cloud services) and how enterprise platforms are deployed in hybrid or multi-cloud environments (Nice to Have) • Experience with real-time or event-driven architectures, stream processing, or in-memory computing technologies (Nice to Have) • Track record of driving AI/ML integration into product strategy or engineering operations at a previous organization (Nice to Have) • Background in pricing and packaging for enterprise platform products (Nice to Have)

🏖️ Vorteile

• Unlimited PTO • Medical/Dental/Vision Insurance • HSA/FSA • Basic & Supplemental Life & AD&D insurance • Short & Long-term Disability Insurance • 401k • EAP (Employee Assistance Program)