AI Product Manager
Tasks
- Define AI success metrics
- Define LLM and agentic systems in production
- Define conversational and multi agent deployment
- Define tool usage boundaries
- Design multi agent orchestration and task decomposition
- Drive customer discovery and feedback loops
- Ensure agent systems are testable and debuggable
- Improve AI observability
- Lead LLM safety testing
- Make go no-go decisions for AI changes
- Own AI evaluation strategy
- Own AI product strategy
- Partner on grounding strategies and constraints
- Run experiments and analyze results
- Set AI guardrails and quality standards
- Track AI quality metrics task success hallucinations latency
- Translate AI strategy into requirements roadmaps backlogs
Perks/Benefits
- N/A
Skills/Tech-stack
Artificial Intelligence | Experiment design | Guardrails | LLM Evaluation | Language Models | Language Processing | Large Language Models | Latency optimization | Machine Learning | Model safety | Natural Language | Natural Language Processing | Observability | Product Roadmapping | Prompt engineering | Quality metrics | Requirements Gathering
Education
N/A
Roles
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