Why this role matters now

AI has dramatically lowered the barrier for bad actors. Generating convincing phishing pages, spinning up realistic-looking fraudulent accounts, and producing abusive content at scale no longer requires specialized skill—a motivated attacker with access to widely available models can do it. The volume and sophistication of platform abuse is increasing faster than traditional approaches can keep up with.

At the same time, AI is transforming what's possible on the defensive side. A small, sharp T&S team equipped with frontier models can now build detection, triage, and response systems that would have required a team five times the size just a couple of years ago. AI-assisted content scanning, automated investigation workflows, and intelligent alert prioritization mean that a lean team can protect millions of users—if they build the right infrastructure.

About the role

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.

What you'll do

• 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