AI Product Manager
Tasks
- Communicate risk and tradeoffs
- Define AI quality metrics
- Define LLM usage in production
- Define grounding strategies and constraints
- Define multi agent framework
- Define tool usage boundaries
- Design conversational AI deployments
- Enable agent orchestration and task decomposition
- Ensure agent systems are testable and debuggable
- Establish AI evaluation strategy
- Improve AI observability
- Lead customer discovery and feedback loops
- Make go no-go decisions for AI changes
- Own AI product strategy
- Own LLM safety testing
- Prioritize backlogs for AI capabilities
- Run experiments and analysis
- Set AI guardrails and safety standards
- Translate strategy into requirements and roadmaps
Perks/Benefits
- N/A
Skills/Tech-stack
Agent systems | Artificial Intelligence | Backlog prioritization | Experimentation | Grounding | Guardrails | LLM Evaluation | Language Models | Language Processing | Large Language Models | Latency optimization | Machine Learning | Model safety | Multi-Agent | Multi-Agent Systems | Natural Language | Natural Language Processing | Observability | Orchestration | Quality metrics | Requirements Gathering | Roadmapping | Tool use
Education
N/A
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