AI Product Owner — Enterprise AI Delivery

SCIGON; Chicago (IL); On-site; USD 120,000 - 160,000; Full time

Job summary

SCIGON is seeking a Product Owner for the AI Engineering delivery pipeline in the United States. This role leads solution development with close partnership to engineering teams and is not a hands-on coding position.

You will manage intake, define success metrics, and set acceptance thresholds for AI/LLM-enabled solutions, while partnering with executives and business stakeholders to ensure measurable value realization.

Qualifications

• Three or more years of experience in Product Management, Product Ownership, and Product Analysis.
• Ownership of at least one AI or LLM-enabled product successfully deployed to production.
• Experience creating business cases with baseline, success metric, and measured outcomes.
• Executive and operational stakeholder management including intake management and opportunity scoring.
• Familiarity with AI governance frameworks and cross-functional collaboration with engineering and business teams.

Responsibilities

• Managing intake, qualification, prioritization, and opportunity assessment for AI initiatives.
• Developing business cases and defining value measures, baselines, success metrics, and attribution.
• Defining requirements and acceptance criteria for AI/LLM-enabled solutions.
• Authoring evaluation specs, curating golden datasets, and establishing production readiness thresholds.
• Leading user validation, adoption tracking, and value realization after deployment.
• Monitoring portfolio health: ownership, lifecycle, versioning, deprecation, retirement.
• Managing governance for AI skills, plug-ins, and MCP assets translating security and compliance into product requirements.
• Building partnerships with business leaders, operational stakeholders, and executives with disciplined intake.

Skills

Product Management

Product Ownership

Product Analysis

Job description

SCIGON is seeking a Product Owner for the AI Engineering delivery pipeline in the United States. This role leads solution development with close partnership to engineering teams and is not a hands-on coding position.

You will manage intake, define success metrics, and set acceptance thresholds for AI/LLM-enabled solutions, while partnering with executives and business stakeholders to ensure measurable value realization.