About the job
Welcome to Kaizen Gaming
At Kaizen Gaming, the driving force behind Betano, we are proud to be one of the leading GameTech companies globally, operating in 19 diverse markets. Our mission is to harness innovative technology to offer exceptional experiences to millions of customers who rely on us for their entertainment needs.
With a vibrant team of over 2,700 professionals from more than 40 nationalities across three continents, we celebrate diversity and collaboration. Recognized as one of the Best Workplaces in Europe and certified as a Great Place to Work, we ensure that every day brings new challenges and opportunities. Are you ready to Press Play on your potential?
About the Role
As a Senior AI Product Owner within our AI platform team, you will lead the vision and strategy for our internal Machine Learning platform. Your role will combine a product-oriented mindset with agile methodologies to create a robust Data and ML platform that empowers our Data Scientists and ML Engineers. Your goal is to enhance team productivity by eliminating obstacles and enabling the deployment of resilient, scalable, and reliable models into production. This unique position requires a blend of technical product ownership and a comprehensive understanding of the ML development lifecycle in a high-scale environment.
Key Responsibilities:
- Define and shape the vision and strategy for the AI platform.
- Collaborate with our global AI team to identify and outline impactful MLOps and data products (such as model serving, observability, and feature stores).
- Manage the AI platform backlog, ensuring prioritization based on impact, validating problems, and aligning with internal stakeholders.
- Lead the discovery process by conducting user research sessions and analyzing development workflows.
- Promote platform adoption by communicating product updates and ensuring the platform addresses operational challenges faced by teams.
- Establish and monitor success metrics for the platform (e.g., cycle time, adoption rate, time-to-deploy, system reliability) in collaboration with product analysts.
- Provide clear vision and direction to the Agile development team by translating technical challenges into actionable user stories.
- Develop PRDs, epics, experiments, and related documentation.

