Senior Applied AI Product Manager
Tasks
- Communicate roadmap priorities to field
- Define agent scope for business processes
- Define evaluation criteria for agent behavior
- Define platform vs custom boundaries
- Define success metrics and track adoption
- Make scope trade offs with engineering
- Own platform roadmap end to end
- Prioritize and sequence backlog
- Productize recurring field builds into platform capabilities
- Require instrumentation and telemetry
- Run structured intake of field signal
- Set guardrails and autonomy defaults
- Set platform vision and strategy
- Triage field solutions into product opportunities
- Write product specifications and acceptance criteria
Perks/Benefits
- Collaborative culture
- DEI support
- Growth opportunities
- Health and wellness programs
- Work-life balance programs
Skills/Tech-stack
APIs | Agentic AI | Artificial Intelligence | Autonomy | Backlog Management | Backlog prioritization | ERP | Enterprise Software | Evaluation | Integration | LLM | Machine Learning | Product Management | RAG | Retrieval-Augmented Generation | Telemetry
Education
N/A
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