AI Glossary · AI Roles & Careers
AI Product Manager
Owns discovery, scoping and lifecycle of AI features — writing evals as acceptance criteria, managing model/prompt versions, and quantifying business impact.
Definition
What is AI Product Manager?
AI Product Manager is owns discovery, scoping and lifecycle of AI features — writing evals as acceptance criteria, managing model/prompt versions, and quantifying business impact.
- Category
- AI Roles & Careers
- Glossary set
- 9 related terms
- Audience
- Enterprise AI leaders
Why does AI Product Manager matter in enterprise AI?
AI Product Manager matters in enterprise AI programs because it helps business and technology leaders align vocabulary, scope, ownership, and measurable outcomes.
Related terms in AI Roles & Careers
- AI Solutions Architect
- Designs end-to-end AI systems: models, retrieval, tools, integration, security, cost. The senior engineering role that bridges enterprise architecture and applied AI.
- Chief AI Officer (CAIO)
- Executive accountable for enterprise-wide AI strategy, portfolio, governance and value realization. Increasingly a peer to CIO, CDO and CISO.
- Conversation Designer
- Designs bot and voice-AI dialogues — intents, prompts, tone, fallback logic, containment. Blends UX writing, linguistics and product design.
- Data Scientist
- Applies statistics and ML to business problems; owns modeling, experimentation and analysis. Distinct from AI engineer, though the roles converge on LLM tooling.
- MLOps / LLMOps Engineer
- Owns the deployment, monitoring, evaluation and cost control of production ML/LLM systems — CI/CD, observability, rollback, drift detection.
- Model Risk Officer
- Governance role (rooted in banking SR 11-7) responsible for validating, documenting and monitoring model risk — extended in most enterprises to cover LLMs and agents.