Job Title: Mobile Product Owner
Location: Remote (Canada)
Role Overview We are seeking a Mobile Product Owner to lead the execution and delivery of AI-driven features use cases and platform capabilities across a suite of SaaS products. This role requires strong collaboration with engineering data science and cross-functional product teams to ensure successful integration of AI and automation into mobile experiences and operational workflows.
Key Responsibilities -
Drive the end-to-end execution and delivery of AI-powered features use cases and platform enhancements across mobile SaaS products
-
Translate business objectives and product needs into clear technical requirements user stories and sprint deliverables for engineering and data science teams
-
Partner with cross-functional squads to embed AI and automation within existing workflows-such as recruiting onboarding performance management learning analytics and public safety
-
Own and prioritize the product backlog for AI feature development balancing quick wins with long-term scalability and platform evolution
-
Define and maintain execution roadmaps timelines and milestones for model training integration and release across multiple product teams
-
Monitor delivery KPIs-including velocity cycle time release quality and adoption metrics-and drive ongoing improvements in execution efficiency
-
Support post-deployment validation efforts to ensure model accuracy system reliability and optimal user experience
Job Title: Mobile Product Owner Location: Remote (Canada) Role Overview We are seeking a Mobile Product Owner to lead the execution and delivery of AI-driven features use cases and platform capabilities across a suite of SaaS products. This role requires strong collaboration with engineering data sc...
Job Title: Mobile Product Owner
Location: Remote (Canada)
Role Overview We are seeking a Mobile Product Owner to lead the execution and delivery of AI-driven features use cases and platform capabilities across a suite of SaaS products. This role requires strong collaboration with engineering data science and cross-functional product teams to ensure successful integration of AI and automation into mobile experiences and operational workflows.
Key Responsibilities -
Drive the end-to-end execution and delivery of AI-powered features use cases and platform enhancements across mobile SaaS products
-
Translate business objectives and product needs into clear technical requirements user stories and sprint deliverables for engineering and data science teams
-
Partner with cross-functional squads to embed AI and automation within existing workflows-such as recruiting onboarding performance management learning analytics and public safety
-
Own and prioritize the product backlog for AI feature development balancing quick wins with long-term scalability and platform evolution
-
Define and maintain execution roadmaps timelines and milestones for model training integration and release across multiple product teams
-
Monitor delivery KPIs-including velocity cycle time release quality and adoption metrics-and drive ongoing improvements in execution efficiency
-
Support post-deployment validation efforts to ensure model accuracy system reliability and optimal user experience
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