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About the Role

Architect and scale the trust infrastructure to keep over 70 million users safe while preserving creative freedom. Design distributed systems for real-time content scanning, anomaly detection, and rate limiting. Define and evolve core data models and storage systems for abuse detection. Ship high-volume event pipelines and internal tools for threat response. Join a small, high-impact team building foundational trust infrastructure at scale, balancing long-term investments with rapid shipping.

Responsibilities

Own detection and prevention systems for fraud, abuse, spam, and malicious content.
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 for real-time abuse detection.
Define and evolve core data model and storage systems for trust and safety.
Build tools to empower internal support teams for incident investigation and action.
Leverage AI/LLM-based detection to combat AI-generated abuse like phishing and fraud.
Build automated triage and investigation workflows for efficient operations.
Investigate and resolve complex security incidents with limited context.
Partner with engineering and product to balance security with user experience.
Shape the long-term trust and safety strategy and technical roadmap.

Requirements

5+ years of backend engineering experience building scalable, high-traffic production systems.
Strong systems thinking and experience building highly available web APIs.
Hands-on experience implementing trust features like rate limiting, content detection, and fraud prevention.
Track record of shipping high-quality, complex applications under tight timelines.
Product-minded approach with an understanding of how technical decisions impact user experience and business metrics.
Passion for security, user protection, and solving problems at scale.

Skills

Backend technologies (Node.js, Python, or similar)
Databases (PostgreSQL, Redis)
Event streaming systems (Redis, Kafka, or similar)
High-volume event pipelines
AI/LLMs for content moderation
TypeScript
Prisma
Apollo GraphQL
AWS
AI-assisted moderation pipelines
Automated abuse detection and response using frontier models
Real-time collaboration systems

Location

San Francisco

Work Type

In-office (4-5 days per week)
Hybrid
Full-time

Experience Level

Mid-level to Senior

Salary/Compensations

$180K–$310K

Benefits

Benefits
Equity

About the Company

AI has dramatically lowered the barrier for bad actors, enabling easier generation of convincing phishing pages, fraudulent accounts, and abusive content at scale.
AI is also transforming defensive capabilities, allowing smaller teams equipped with frontier models to build advanced detection, triage, and response systems.
Gamma aims to protect millions of users by leveraging AI-assisted content scanning, automated investigation workflows, and intelligent alert prioritization.

Equal Opportunity

If you're interested in this role but you don't meet every requirement, we encourage you to apply anyway! We're always excited about meeting great people.