AI Product Manager
Tasks
- Define LLM and agentic system usage in production
- Define agent roles and responsibilities
- Define orchestration and task decomposition
- Define safety behavior guardrails
- Define success metrics
- Define tool usage boundaries
- Design conversational and multi agent framework
- Enable fast execution with quality and trust
- Ensure AI observability
- Lead customer discovery and feedback loops
- Maintain prioritized product backlog
- Make go no-go decisions for AI changes
- Own AI product strategy
- Own LLM safety testing
- Partner on grounding strategies and constraints
- Run AI experiments and analysis
- Set AI guardrails and quality standards
- Track AI quality metrics
- Translate AI strategy into requirements and roadmaps
Perks/Benefits
- N/A
Skills/Tech-stack
Agent systems | Agentic Systems | Artificial Intelligence | Enterprise Product | Enterprise product management | Experiment design | Grounding | Guardrails | LLM Evaluation | Language Models | Language Processing | Large Language Models | Latency optimization | Machine Learning | Model Observability | Multi-Agent | Multi-Agent Systems | Natural Language | Natural Language Processing | Orchestration | Product Management | Product Strategy | Quality metrics | Safety testing | Tool use
Education
N/A
Roles
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