Applied AI Product Manager
Tasks
- Collaborate on AI UX and user controls
- Define success metrics and release plans
- Design evaluation processes for AI features
- Enable sales support and marketing with product narratives
- Identify AI enabled high value workflows
- Monitor deployed AI quality and failure modes
- Own AI product strategy and roadmap
- Partner with engineering on LLM system design
- Prototype AI-powered experiences
- Run offline and online quality metrics
- Support responsible deployment with legal and compliance
- Translate customer problems into product requirements
Perks/Benefits
Skills/Tech-stack
APIs | Agent systems | Artificial Intelligence | Data analytics | Evaluation | Feedback loops | Human review | Human-in-the-loop | Language Models | Large Language Models | Machine Learning | Model selection | Offline evaluation | Online metrics | Product Management | Prompt engineering | Python | Quality Rubrics | Regression testing | Retrieval-Augmented Generation | SQL | The Loop | Tool use | User Feedback | User feedback loops
Education
N/A
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