Product Owner

Product Owner

Location: Charlotte, NC or Bay Area, CA (Onsite) Local candidates preferred.

Experience: 8–12 years

Role Summary: The Product Owner will partner with business and technology teams to take AI and agentic use cases from initial problem framing through production release and adoption. The role owns use-case intake, prioritization, backlog management, acceptance criteria, evaluation KPIs, governance readiness, and measurable business outcomes.

Key Responsibilities: Facilitate business problem framing and identify suitable AI, LLM, RAG, or agentic solution patterns. Manage use-case intake, prioritization, feasibility assessment, and roadmap alignment. Create product epics, user stories, acceptance criteria, and release objectives. Coordinate data, model, platform, security, risk, and engineering stakeholders. Define business, model-quality, operational, adoption, and value-realization KPIs. Support model selection, prompt strategy, RAG design, evaluations, and human-in-the-loop controls. Ensure responsible AI, security, compliance, and model-risk requirements are addressed. Drive user acceptance, release readiness, adoption planning, and post-release outcome tracking.

Required Skills: Product management and Agile backlog ownership. Business problem framing and use-case prioritization. Understanding of LLMs, RAG, agentic AI, model selection, and evaluation approaches. Experience defining functional and non-functional acceptance criteria. Responsible AI, model-risk, security, and governance controls. Product analytics, adoption metrics, and business-value measurement. Executive communication and stakeholder facilitation. Experience working with multidisciplinary AI engineering teams.

Preferred Qualifications: Bachelor's or master's degree in technology, business, data science, or a related field. Product Owner, Scrum, SAFe, or product-management certification. Experience delivering enterprise AI solutions in a regulated environment.