Senior Product Manager - AI Platform
Tasks
- Build platform adoption and time to integrate metrics
- Define API contracts and versioning policies
- Define data residency and encryption requirements
- Define monitoring and observability requirements for model drift and input shifts
- Design SDK developer experience and documentation standards
- Establish feedback loops for integration friction detection
- Establish platform standards for model lifecycle management and prompt versioning
- Maintain platform health SLOs for inference availability and latency
- Manage platform roadmap governance for intake prioritization and communication
- Own AI platform product strategy and roadmap
- Support architecture discussions with engineering teams
- Translate AI lending regulatory requirements into platform capabilities
Perks/Benefits
- N/A
Skills/Tech-stack
API Design | API Versioning | Agile methodologies | Alerting | Audit Logging | Bias Mitigation | Data Contracts | Data Quality | Developer experience | Drift Detection | ELT | ETL | Encryption at rest | Encryption in Transit | Event Streaming | Explainability | Feature Store | GenAI | Inference latency | Kafka | Kinesis | Language Models | Large Language Models | Machine Learning | Model Drift | Model Drift Detection | Model Serving | Observability | PII handling | PRD | Responsible AI | SLO | Schema Registry | Service Level | Service-Level Objectives | Software development | Software development kit | Vector Databases
Education
Roles
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