Director, Product Engineering ((AI POD Lead)
Tasks
- Decide build vs leverage vs partner
- Define AI architecture for risk detection
- Define AI product strategy and roadmap
- Deliver stable scalable enterprise ready solutions
- Ensure production grade observable explainable privacy preserving systems
- Incorporate customer feedback into product direction
- Iterate data to insight to model to product
- Lead cross functional engineering execution
- Own AI product outcomes
- Partner with Sales and Customer Success on go to market
- Remove delivery dependencies
- Track and improve delivery effectiveness
- Uphold reliability performance and deployment practices
Perks/Benefits
- N/A
Skills/Tech-stack
AI Security | Agentic architecture | Anomaly Detection | Artificial Intelligence | Behavior analytics | Behavioral analytics | DLP | Data Leakage Prevention | Data Pipelines | Data leakage | Deployment Planning | Enterprise SaaS | Explainable AI | Insider Risk | Insider Risk Management | LLM | LLM ecosystems | LLM-based reasoning | Language Processing | Leakage prevention | Machine Learning | Model Risk Management | Model risk | Natural Language | Natural Language Processing | Privacy Preserving Architecture | Privacy-preserving | Release Planning | Risk Management | Signal Processing | User and entity behavior analytics
Education
N/A
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