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As a Trust & Safety Engineer at Gamma, you'll architect systems to protect the platform from phishing, abuse, fraud, and malicious content. You'll join a small team building the foundation for trust at scale, designing infrastructure that serves millions, shipping improvements daily, and building internal tools for support teams.

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You'll own detection and prevention systems for fraud, abuse, spam, and malicious content across millions of daily users. You'll design and build scalable trust infrastructure, including rate limiting, content scanning, anomaly detection, and account security. You'll also build tools that empower internal support teams to investigate and act on suspicious or malicious activity.

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To succeed in this role, you'll need 5+ years of experience as a software engineer with a focus on abuse, spam, or fraud prevention. You'll have 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. You'll also have hands-on experience implementing trust features like rate limiting, content detection, and fraud prevention.

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Experience with event streaming systems, passion for security, user protection, and solving problems at scale are also essential. Familiarity with AI/LLMs for content moderation, TypeScript, Prisma, Apollo GraphQL, or AWS is a plus.

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In terms of compensation, the base salary for this full-time position ranges between $180K - $275K plus benefits & equity.

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XML job scraping automation by YubHub

","url":"https://yubhub.co/jobs/job_0fc4cba7-bdb","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Gamma","sameAs":"https://gamma.com","logo":"https://logos.yubhub.co/gamma.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/gamma/274f4b95-d167-4ff2-ba98-89d2d6f114a3","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"Full time","x-salary-range":"$180K - $275K","x-skills-required":["abuse prevention","spam prevention","fraud prevention","rate limiting","content scanning","anomaly detection","account security","event streaming systems"],"x-skills-preferred":["AI/LLMs for content moderation","TypeScript","Prisma","Apollo GraphQL","AWS"],"datePosted":"2026-04-24T12:16:02.132Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"abuse prevention, spam prevention, fraud prevention, rate limiting, content scanning, anomaly detection, account security, event streaming systems, AI/LLMs for content moderation, TypeScript, Prisma, Apollo GraphQL, AWS","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":180000,"maxValue":275000,"unitText":"YEAR"}}}]}