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Senior Product Manager - Core Platform (Remote)

seniorRemoteScore undefined/1002w ago
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Description
Camunda is the enterprise platform for agentic orchestration , enabling organizations to coordinate AI agents, people, and systems across complex, end-to-end business processes. With built-in governance, auditability, and human oversight, Camunda gives enterprises the control they need to move AI from pilots to production — safely and at scale. Trusted by over 700 organizations worldwide , including 9 of top 10 US banks, Camunda helps enterprises boost operational efficiency, accelerate time-to-value, and deliver better customer experiences. Fully remote and global, we are in the middle of something bigger: transforming into an AI-first organisation, built on our own platform . We use Agentic AI to automate, orchestrate intelligent processes, and elevate human contribution across every team. Named GP Bullhound’s Top 100 Next Unicorn list, 2025 Great Place to Work certified. Visionary in 2025 Gartner® Magic Quadrant™ for Business Orchestration and Automation Technologies. ranked 3rd in Flexa's 2026 Most Flexible Companies , We’re growing fast and looking for top talent to join our team. If you want meaningful work, visible impact and put something genuinely rare on your CV, keep reading. About the role We are seeking a talented and technically proficient Senior Product Manager to lead the development and evolution of our Core Platform, which includes Zeebe, the cloud-native workflow engine at the heart of Camunda. This critical role is both technical and product-focused, requiring a deep understanding of customer needs, system scalability, performance, reliability, and security. As the Senior Product Manager for the Core Platform, you will work closely with engineering teams, customers, and stakeholders to define and execute the product strategy for our distributed workflow orchestration engine. You will drive the roadmap for foundational platform capabilities and ensure the platform meets the complex requirements of distributed systems at scale. Curious about the k
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