Build automated signal ingestion pipelines from security tooling.
Develop probabilistic risk models for breach likelihood and losses.
Identify choke points across the attack surface and prioritize fixes.
Create dashboards and data-driven insights for security, engineering, executives.
Support risk quantification linking outputs to investment decisions.
Engineering role blending data science with security leadership.

🎯 Requirements

5+ years data engineering; Python and SQL (PostgreSQL/Presto/SparkSQL)
3+ years ML or probabilistic models in production
Experience building real-time/near-real-time data pipelines
Data modeling for classification, normalization, and risk detection
Experience developing metrics that inform security and business decisions

🎁 Benefits

Flex First: remote or in-office work with regular in-person events
Equity grants and annual refresh grants
Benefits offerings and ongoing learning opportunities

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