Description
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.
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
You'll architect and scale the trust infrastructure that keeps 70M+ users safe while preserving the creative freedom that makes Gamma magical. This means designing distributed systems for real-time content scanning, anomaly detection, and rate limiting; helping define and evolve the core data model and storage systems behind abuse detection; and shipping the high-volume event pipelines and internal tools that let our support teams act quickly on threats.
You'll join a small, high-impact team building the foundation for trust at scale. You'll work across databases, public APIs, and event infrastructure, balancing long-term technical investments with rapid shipping velocity. You'll collaborate across engineering, product, and design to define how Gamma approaches safety for the long term.
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
- Architect distributed systems, APIs, and high-volume event pipelines that power real-time abuse detection at Gamma's scale
- Help define and evolve the core data model and storage systems that underpin trust and safety across the product
- Build tools that empower internal support teams to investigate and act on suspicious or malicious activity
- 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
- 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
What you'll bring
- 5+ years of backend engineering experience building scalable, high-traffic production systems
- Strong systems thinking and experience building highly available web APIs
- Strong proficiency in backend technologies (Node.js, Python, or similar) and databases (PostgreSQL, Redis)
- Experience with event streaming systems (Redis, Kafka, or similar) and high-volume event pipelines
- Hands-on experience implementing trust features like rate limiting, content detection, and fraud prevention
- Track record shipping high-quality, complex applications under tight timelines
- Product-minded approach with understanding of how technical decisions impact user experience and business metrics
- 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
- 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
- Experience with real-time collaboration systems
Compensation range:
The base salary for this full-time position, which spans multiple internal levels depending on qualifications, ranges between $180K–$275K plus benefits & equity.