Software Engineer, Trust & Safety

The role

You will architect systems to protect the platform from phishing, abuse, fraud, and malicious content. You will design scalable trust infrastructure and build internal tools for support teams.

What you will do

• Own detection and prevention systems for fraud, abuse, spam, and malicious content
• Design and build scalable trust infrastructure including rate limiting, content scanning, anomaly detection, and account security
• Build tools that empower internal support teams to investigate and act on suspicious or malicious activity
• Investigate and resolve complex security incidents with limited context
• Partner with engineering and product to balance security with user experience
• Shape Gamma's long-term trust and safety strategy and technical roadmap
• Leverage AI/LLM-based detection to stay ahead of AI-generated abuse
• Build automated triage and investigation workflows

Required qualifications

• 5+ years as a software engineer with a focus on abuse, spam, or fraud prevention
• Strong systems thinking
• Experience building highly available web APIs
• Proficiency in at least one programming language
• Comfort working across a modern web stack
• Hands-on experience implementing trust features like rate limiting, content detection, and fraud prevention
• Experience with event streaming systems (Redis, Kafka, or similar)
• Passion for security, user protection, and solving problems at scale

Nice to have

• Experience with AI/LLMs for content moderation
• Familiarity with TypeScript, Prisma, Apollo GraphQL, or AWS
• Experience building AI-assisted moderation pipelines or using frontier models for automated abuse detection and response
• Familiarity with the evolving AI threat landscape

Benefits

• benefits
• equity

About the company

Gamma is an AI platform. The company is tackling challenges of keeping millions of users safe while preserving creative freedom.