Own and execute the delivery backlog for AI products and experiences
Own and prioritize the day-to-day backlog, keeping items well-defined and delivery-ready while aligning sequencing with AI Product and AI Experience leadership.
Elicit requirements and write clear user stories with acceptance criteria
Lead story mapping and write clear epics/features/stories with acceptance criteria, including AI quality/evaluation needs and required non-functional requirements (security, privacy, accessibility, performance).
Support third-party vendor intake, review, and enablement
Drive sprint readiness and agile delivery execution
Coordinate cross-functional dependencies and integration handoffs
Define test strategy, acceptance testing, and UAT for AI behavior and workflow outcomes
Plan releases and support production readiness for AI capabilities
Operate intake and continuous improvement loops from user feedback
Instrument outcomes and report delivery/product health
Ensure delivery aligns with responsible AI and regulatory requirements

Bachelor’s degree (or equivalent experience) in a related field.
3+ years as a PO and/or BA on agile teams, owning a backlog through release.
Expertise creating epics/features/stories, acceptance criteria, and process flows in Jira/Azure DevOps and Confluence (or equivalent).
Strong facilitation and stakeholder management; leads refinement, UAT, and trade-off decisions.
Data-literate; defines KPIs and uses metrics to drive prioritization.
Working knowledge of GenAI delivery (context/prompting, evaluation, drift, HITL, observability); partners effectively with ML teams.
Experience embedding privacy/security/risk controls into requirements, testing, and releases.

AI Product Owner

Key skills