Trust & Safety Program Engineer
About The Position
World is building a real human network designed to accelerate people in the age of AI. As bots and autonomous agents reshape the internet, people, institutions, and applications need a trusted way to confirm who is a real human while preserving privacy. Our products make this possible: the Orb verifies real people, World ID proves it privately, and World App enables and distributes the new applications made possible by this technology. Together, they form a new layer for AI internet. We’re one of the fastest-growing networks in tech. More than 17 million people across 160 countries have verified with World ID, and we complete over 350,000 verifications each week. World App is already among the most used wallets globally. Developers are integrating World ID to build safer online experiences and create spaces where real people can participate, earn, and be recognized in ways AI simply can’t replicate. World was founded in 2019 and launched globally in 2023. We are more than 400 people across hardware, software, AI, cryptography, mobile engineering, and global operations. Our teams come from OpenAI, Tesla, SpaceX, Apple, Google, Stripe, Meta, Coinbase, Palantir and MIT Media Lab. We’re backed by leading investors, including a16z, Khosla Ventures, Bain Capital Crypto, Blockchain Capital, Variant, Tiger Global, and Coinbase Ventures, as well as prominent operators and founders across fintech and AI. World has been featured on the cover of TIME Magazine, highlighted in Fast Company’s Next 5 in Fintech, and explored in a Bloomberg deep dive. The New York Times, Bankless and TechCrunch have all recognized our progress in identity, cryptography, AI, and global-scale hardware deployment. Our leadership is also named to the Time AI 100. Learn more about the newest product launches from our Unwrapped event. We’re looking for a Trust & Safety Program Engineer to own and scale our internal detection and investigation tooling. You will build the pipelines, queues, and reviewer workflows that transform raw signals into actionable decisions. This is a high-ownership role: you’ll take production responsibility for critical internal systems, partner deeply with T&S operations, and (where it makes sense) apply modern AI approaches to reduce manual work and speed up response. If you enjoy building real systems used daily, and you care about reliability, measurement, and practical impact, you’ll fit well here.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical field, or equivalent practical experience
- 8+ years of experience across systems, or program engineering, with ownership of production systems or operational programs
- Strong software engineering fundamentals: system design, testing, observability, and production ownership.
- Proficient in Python and TypeScript; strong SQL for analysis and validation.
- Experience building internal tools or workflow systems (queues, case management, review UIs).
- Comfortable operating in ambiguous problem spaces with high accountability.
Nice To Haves
- T&S/fraud/risk/security domain experience and/or agentic/LLM systems shipped to production.
Responsibilities
- Own and maintain internal detection tools and signal pipelines (starting with the Orb Risk Program).
- Build triage and investigation workflows: prioritization, deduplication, SLA tracking, evidence/context surfacing.
- Ship one-click actions and audit logging for common outcomes and escalations.
- Build documentation: signal catalog, runbooks, incident response processes for pipeline failures.
- Partner with operational users to iterate quickly and measurably reduce manual work.
- Where appropriate, design and deploy agentic/LLM workflows with evaluation and monitoring.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
