Director, Product Management

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🕒 Março 11

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Hazelcast

SiteLinkedInTodas as Vagas

51 - 200 funcionários

Fundada em 2008

🏢 Corporativo

🤖 Inteligência Artificial

☁️ SaaS

Enterprise • Artificial Intelligence • SaaS

Hazelcast é uma plataforma líder em dados em tempo real que combina de forma única um armazenamento de dados rápido e um mecanismo de computação distribuída em um único sistema. Ela oferece soluções para processamento de fluxos, arquiteturas orientadas a eventos e automação em tempo real de IA/ML. A plataforma é bem adequada para arquiteturas empresariais e implantações agnósticas de nuvem, oferecendo alto desempenho, resiliência e escala. A Hazelcast atende a várias indústrias, como serviços financeiros, e-commerce e saúde, ajudando as organizações a modernizar sua arquitetura de dados, melhorar o processamento de pagamentos e aprimorar a detecção de fraudes. A empresa também integra com Apache Kafka e Redis para capacidades aprimoradas de processamento de dados.

Descrição

• 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

🎯 Requisitos

• 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)

🏖️ Benefícios

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