Mobile Product Lead Probability:
Location: Remote (Canada)
- Drive the execution and delivery of AI-powered features use cases and platform capabilities across a suite of SaaS products.
- Translate business and product team needs into concrete technical requirements stories and sprint deliverables for engineering and data science teams.
- Coordinate with cross-functional squads to embed AI and automation into existing workflows (e.g. recruiting onboarding performance learning analytics and public safety).
- Define and manage the backlog for AI feature delivery balancing short-term wins with long-term platform scalability.
- Establish execution roadmaps and milestones for model training integration and release across multiple product teams.
- Track delivery KPIs (velocity cycle time release quality adoption metrics) and drive continuous improvement in execution efficiency.
- Support post-deployment validation to ensure model accuracy system reliability and user experience alignment.
Mobile Product Lead Probability: Location: Remote (Canada) Drive the execution and delivery of AI-powered features use cases and platform capabilities across a suite of SaaS products. Translate business and product team needs into concrete technical requirements stories and sprint deliverables ...
Mobile Product Lead Probability:
Location: Remote (Canada)
- Drive the execution and delivery of AI-powered features use cases and platform capabilities across a suite of SaaS products.
- Translate business and product team needs into concrete technical requirements stories and sprint deliverables for engineering and data science teams.
- Coordinate with cross-functional squads to embed AI and automation into existing workflows (e.g. recruiting onboarding performance learning analytics and public safety).
- Define and manage the backlog for AI feature delivery balancing short-term wins with long-term platform scalability.
- Establish execution roadmaps and milestones for model training integration and release across multiple product teams.
- Track delivery KPIs (velocity cycle time release quality adoption metrics) and drive continuous improvement in execution efficiency.
- Support post-deployment validation to ensure model accuracy system reliability and user experience alignment.
View more
View less