Related skills
bigquery sql python kubernetes gcp📋 Description
- Design and implement LLM guardrails that detect abuse in AI-generated code and agent interactions
- Build AI-powered detection systems using LLMs to identify threats and automate responses
- Build and operate abuse detection systems across phishing, cryptomining, and account takeover
- Design automated response mechanisms that enforce platform policies without manual intervention
- Own the abuse response lifecycle: detection, investigation, enforcement, and appeals
- Analyze attack patterns with BigQuery and Hex to derive new detection rules
🎯 Requirements
- 8+ years of experience in security engineering, anti-abuse, trust & safety, or fraud detection
- Strong programming skills in Python and/or TypeScript for building detection systems and automation
- Experience with SQL and data analysis at scale (BigQuery, Snowflake, or similar)
- Experience building or fine-tuning ML/LLM-based classifiers for security or abuse detection
- Familiarity with prompt injection, jailbreaking, and other LLM-specific attack vectors
- Ability to investigate complex abuse patterns and translate findings into automated defenses
- Familiarity with common attack patterns: phishing infrastructure, account takeover, credential stuffing, resource abuse
- Clear communication skills for working across Security, Support, Legal, and Engineering teams
🎁 Benefits
- Health, Dental, Vision and Life Insurance
- Short Term and Long Term Disability
- Paid Parental, Medical, Caregiver Leave
- Flexible Time Off (FTO) + Holidays
- Commuter Benefits (In-Office Only)
- Monthly Wellness Stipend
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