SaaS Product Owner

About the role

In this role, you’ll contribute directly to Axon™ , our Digital Twin SaaS platform. We’re looking for Product Owners who are curious, analytically strong, and excited to grow in an intellectually challenging environment. A background in Computer Science, Software Engineering, or a related technical field will provide a strong foundation for success in this role. Beyond that, we value strong reasoning skills, an interest in software development, and the ambition to continuously learn and improve.

As a Product Owner , you turn real user needs into valuable product ideas and help bring them to life in Axon. You work at the intersection of customers, business, technology, and user experience. Unlike a role that focuses mainly on building the solution, this role is highly collaborative and communicative.

Product Discovery

• You collaborate closely with colleagues and customers to gather user and requirement insights to uncover and explore new opportunities and features for Axon.
• You leverage customer feedback and internal insights to shape the product roadmap and drive innovation.

Product Delivery

• You translate well-defined user stories into efficient sprint and feature execution, with clear ownership of scope, priorities and technical trade-offs.
• You advocate for a superior user experience by creating design proposals, and you generate working prototypes based on the existing codebase.
• While taking end-to-end ownership of product initiatives, from problem definition to concept, realization and testing, including defining success criteria for AI features such as accuracy, usability, trust, and business impact.

Cross-Functional Collaboration

• You become part of Axon’s Product & Engineering team: 20+ people with a shared passion for intellectual challenges, evolving technology, and AI-focused ways of working.
• Together with four other Product Owners, you act as the bridge between technical and non-technical stakeholders, both inside Axon and at the client.
• You translate business needs into product decisions by connecting domain knowledge, AI capabilities, technical constraints, and user value.

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