You’ve managed backlogs that were more than to-do lists. You know how to translate a vision into deliverable increments – and how to explain why a sprint produced no result that feels like progress but isn’t.
In AI projects, that means holding the business side and the development team together when requirements are still fuzzy and model quality is still inconsistent. Setting priorities when everything seems equally urgent.
What you bring
- Several years of experience as a Product Owner in complex IT or data projects
- Understanding of ML development cycles and the specifics of data-driven requirements
- Ability to lead technical and business stakeholders as equals
- Practical experience with agile methods – not just on the certificate
What to expect
Projects with experienced clients where your work has direct impact. No corporate environment slowing down decisions. A small, experienced team with high standards for delivery quality and business value.