Staff Software Engineer, Anti-Abuse & Security

📋 Description

• Design and implement LLM guardrails to detect abuse in AI-generated code and interactions
• Build AI-powered detection systems that use LLMs to identify threats and automate responses
• Build and operate abuse detection systems that identify phishing, cryptomining, and fraud
• Design automated response mechanisms that enforce platform policies without manual intervention
• Own the full abuse response lifecycle: detection, investigation, enforcement, handling appeals
• Analyze attack patterns using BigQuery and Hex to drive 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
• 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
• Clear communication across Security, Support, Legal, and Engineering teams

🎁 Benefits

• Competitive Salary & Equity
• 401(k) Program with a 4% match
• Health, Dental, Vision and Life Insurance
• Short Term and Long Term Disability
• Paid Parental, Medical, Caregiver Leave
• Commuter Benefits