2 months ago
Base Salary
$180k - $310k/yr
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 internal tools that help support teams investigate and act on suspicious or malicious activity
- Investigate and resolve complex security incidents with limited context
- Partner with engineering and product teams to balance security with user experience
- Shape the long-term trust-and-safety strategy and technical roadmap
- Use AI/LLM-based detection to address AI-generated phishing, fraud, and malicious content
- Build automated triage and investigation workflows for abuse detection and response
Requirements
- 5+ years of software engineering experience focused on abuse, spam, or fraud prevention
- Experience building highly available web APIs and proficiency in at least one programming language across a modern web stack
- Hands-on experience implementing rate limiting, content detection, and fraud prevention features
- Experience with event-streaming systems such as Redis, Kafka, or similar
- Experience with AI/LLMs for content moderation is a plus
- Familiarity with TypeScript, Prisma, Apollo GraphQL, or AWS is a plus
- Experience building AI-assisted moderation pipelines or using frontier models for automated abuse detection and response is a plus
- Familiarity with how generative models are used for phishing, social engineering, and content abuse is a plus
Benefits
- Strong in-office culture in San Francisco, working in person 4–5 days per week with flexibility to work from home when focus matters most
- Full-time position with benefits and equity
Tech Stack
About Gamma
Gamma is your AI design partner for creating presentations, websites, social media, and more. All at the speed of thought.