Product Manager

Camunda is the enterprise platform for agentic orchestration, enabling organizations to coordinate AI agents, people, and systems across complex, end-to-end business processes. Fully remote and global, we are transforming into an AI-first organisation. 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. What You’ll Be Doing: - Define market-driven vision, strategy, and product requirements focused on improving the Camunda product portfolio. - Manage community, customer, partner, and internal feedback with an emphasis on successfully driving innovation to improve our customers experience with Camunda’s core platform. - Fully evaluate and prioritize incoming feature requests - Keep the self-managed team equipped to work on the appropriate epics. - Continuous assessment of Camunda demand, market differentiation and the competitive landscape as well as close collaboration with our Pre-Sales Engineers, Solution Architects, and other Field teams. What You Bring: - Ability and/or willingness to use our product - Experience working with platform products used by IT departments at large enterprise companies (e.g., developers, automation engineers, ops teams). - 5+ years of product management experience, ideally in distributed systems, technical SaaS products, PaaS, or cloud-native products. - Experience of OKRs, customer research techniques, product design, Go-To-Market planning, backlog management, and working in Agile teams. - Strong communication skills - internally collaborating with others and externally presenting to customers. - Strong understanding of distributed systems concepts, including scalability, fault tolerance, event-driven architecture, and performance optimization. Nice-to-haves: - Familiarity with technologies such as Kubernetes, Docker, cloud services (AWS, GCP, Azure), and message brokers (e.g., Kafka, RabbitMQ). - Experience working with IT platforms in banking, financial services, and insurance sector. - Technical knowledge of configuring, deploying, managing the life cycle of platform products.