AI Product Manager
Tasks
- Conduct customer research and usage analysis
- Define AI quality metrics
- Define LLM guardrails
- Define agent orchestration and task decomposition
- Design conversational and multi agent AI deployment
- Enable safe and trusted AI execution in production
- Ensure AI observability and continuous improvement
- Lead LLM safety testing
- Make go no-go decisions for AI changes
- Own AI evaluation strategy
- Partner on grounding strategies and constraints
- Prioritize backlogs for AI features
- Set tool usage boundaries
- Translate AI strategy into requirements and roadmaps
Perks/Benefits
- N/A
Skills/Tech-stack
Agent systems | Artificial Intelligence | Conversational AI | Experiment analysis | Experiment design | Grounding | Guardrails | LLM Evaluation | LLM safety | Language Models | Language Processing | Large Language Models | Latency optimization | Machine Learning | Model Monitoring | Multi-Agent | Multi-Agent Systems | Natural Language | Natural Language Processing | Orchestration | Production Deployment | Quality metrics | Tool use
Education
N/A
Roles
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