Software Engineer, Trust & Safety

About the role

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.

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

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)

Qualifications

• Passion for security, user protection, and solving problems at scale
• Nice to have: Experience with AI/LLMs for content moderation, or familiarity with TypeScript, Prisma, Apollo GraphQL, or AWS
• Familiarity with the evolving AI threat landscape—how generative models are being used for phishing, social engineering, and content abuse at scale

Skills

• Strong systems thinking and experience building highly available web APIs
• Proficiency in at least one programming language and comfort working across a modern web stack
• Experience with event streaming systems (Redis, Kafka, or similar)
• Hands-on experience implementing trust features like rate limiting, content detection, and fraud prevention
• Passion for security, user protection, and solving problems at scale
• Nice to have: Experience with AI/LLMs for content moderation, or familiarity with TypeScript, Prisma, Apollo GraphQL, or AWS
• Familiarity with the evolving AI threat landscape—how generative models are being used for phishing, social engineering, and content abuse at scale

Benefits

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.

Pay

The base salary for this full-time position, which spans multiple internal levels depending on qualifications, ranges between $180K - $310K plus benefits & equity. Final offer amounts are determined by multiple factors, including but not limited to experience and expertise in the requirements listed above.

Schedule

We are a full-time position that works in person 4–5 days per week in San Francisco. We also offer flexibility to work from home when focus matters most.