Product owner with GenAI applications

Technogen, Inc.; Charlotte (NC); Hybrid; USD 100,000 - 150,000; Full time

Job summary

Technogen, Inc. is seeking a Product Owner to lead Built GenAI applications, partnering with business and technology teams from problem framing to production release. The hybrid role is based in Charlotte, NC, with a focus on AI governance, KPI-driven outcomes, and cross-disciplinary collaboration across data, security, and engineering teams.

You will own use-case intake, define success metrics, and ensure adoption planning and post-launch value realization for enterprise AI solutions.

Qualifications

• Product management and Agile backlog ownership.
• Problem framing and use-case prioritization.
• Understanding of LLMs, RAG, agentic AI, model selection.
• 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 with multidisciplinary AI engineering teams.

Responsibilities

• Facilitate business problem framing and identify AI/LLM solution patterns.
• Manage use-case intake, prioritization, feasibility, and roadmap alignment.
• Create epics, user stories, acceptance criteria, and release objectives.
• Coordinate data, model, platform, security, risk, and engineering stakeholders.
• Define KPI for business value, operational, adoption, and realization.
• Support model selection, prompt strategy, RAG design, and evaluations.
• Ensure responsible AI, security, compliance, and model-risk requirements.
• Drive user acceptance, release readiness, and post-release adoption tracking.

Education

Bachelor’s degree

Master’s degree

Product Owner cert

SAFe cert

Scrum cert

Product-management cert

Job description

Product owner with Built GenAI applications

Hybrid Onsite at Charlotte, NC. Local candidates preferred.

Product Owner

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.