Software Engineer, Trust & Safety

Gamma•San Francisco, CA

1d•$180,000 - $310,000•Hybrid

About The Position

Gamma is tackling one of the most critical challenges for any fast-growing AI platform: keeping millions of users safe while preserving the creative freedom that makes the product magical. As a Trust & Safety Engineer, you'll architect the systems that protect our platform from phishing, abuse, fraud, and malicious content, all while ensuring Gamma stays fast, reliable, and delightful to use. You'll join a small, high-impact team building the foundation for trust at scale. You'll design infrastructure that serves millions, ship improvements daily, and build the internal tools that let our support teams act quickly on threats. You'll collaborate across engineering, product, and design to define how Gamma approaches safety for the long term. Our team has a strong in-office culture and works in person 4–5 days per week in San Francisco. We love working together to stay creative and connected, with flexibility to work from home when focus matters most.

Requirements

5+ years as a software engineer with a focus on abuse, spam, or fraud prevention
Strong systems thinking and experience building highly available web APIs, with proficiency in at least one programming language and 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 Haves

Experience with AI/LLMs for content moderation, or 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—how generative models are being used for phishing, social engineering, and content abuse at scale

Responsibilities

Own detection and prevention systems for fraud, abuse, spam, and malicious content across millions of daily users
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—phishing, fraud, and malicious content that's increasingly indistinguishable from legitimate activity
Build automated triage and investigation workflows that let a small team operate at the scale of a much larger one