About the role
We're looking for an experienced trust and safety engineer to join our team.
Over the past year, we've grown from a private beta serving hundreds of active users to a hot AI tool growing faster everyday with millions of users hitting our servers from around the world at all hours of the day. Gamma.app never sleeps!
This position is an onsite role in San Francisco with a hybrid flexible work culture. You'll be expected to come in to our Potrero Hill office 3 days per week with a schedule that works best for you.
We're looking for candidates from diverse backgrounds who are interested in:
Building product features, platforms, and tooling to protect Gamma's platform from phishing, objectionable content, spam, account takeovers, and other fraud and abuse
Ensuring these systems scale to millions of users while maintaining high performance and availability
Moving fast and shipping to production daily
Working fully across our React Express NodeJS Postgres stack, mostly written in Typescript
Contributing to the vision and roadmaps for long-term Trust & Safety and articulating Gamma's overall approach and philosophy on Trust Engineering
Above all, we're looking for someone with a passion for keeping Gamma safe and secure, writing code, collaborating with various engineering teams and product managers, and solving new problems as Gamma grows. We care as much about your attitude and curiosity as your technical knowledge, and less about how long your resume is.
What you'll do:
Identify the largest gaps in our existing infrastructure for protection against fraud and abuse
Propose, validate, and socialize potential trust and safety improvements
Implement improvements while partnering with other engineers and product managers
Ship to production daily across our React Express NodeJS Postgres stack
Develop and maintain systems to detect and prevent malicious activity
Help build a scalable infrastructure that can support our rapid growth
Debug thorny and complex security issues without much to go on
Read and suggest improvements to our trust and safety architecture
Our ideal candidate has:
5+ years experience as a software engineer, preferably with a focus on abuse/spam/fraud detection and prevention
A degree in computer science or related field
Strong proficiency in at least one programming language
Experience developing & implementing trust and safety features such as rate limiting, content detection, anomaly detection, and fraud detection
Experience writing and maintaining highly-available web APIs
Experience with event streaming systems like Redis Pubsub or Apache Kafka
Experience working in large complex production scale codebases
Passion for security and protecting users from bad actors