Related skills
bigquery sql python kubernetes go📋 Description
- Design LLM guardrails to detect abuse in AI code and agent interactions
- Build AI-powered detection systems to identify malicious patterns and automate responses
- Build and operate abuse detectors for phishing, cryptomining, and fraud
- Design automated responses to enforce platform policies without manual intervention
- Own the full abuse response lifecycle with Support and Legal
- Analyze attack patterns with BigQuery and Hex to create new detection rules
🎯 Requirements
- 8+ years in security engineering, anti-abuse, trust & safety, or fraud detection
- Strong Python and/or TypeScript skills for detection systems and automation
- SQL experience and data analysis at scale (BigQuery, Snowflake, or similar)
- Experience building or fine-tuning ML/LLM classifiers for security/abuse
- Familiarity with prompt injection and other LLM attack vectors
- Ability to translate abuse findings into automated defenses
🎁 Benefits
- Equity
- 401(k) with 4% match (US Only)
- Health, Dental, Vision and Life Insurance
- Short Term and Long Term Disability
- Paid Parental, Medical, Caregiver Leave
- Flexible Time Off + Holidays
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