Director of Trust & Safety Engineering

Vercel gives developers the tools and cloud infrastructure to build, scale, and secure a faster, more personalized web. As the team behind v0, Next.js, and AI SDK, Vercel helps customers like Ramp, Supreme, PayPal, and Under Armour build for the AI-native web.

Our mission is to enable the world to ship the best products. That starts with creating a place where everyone can do their best work. Whether you're building on our platform, supporting our customers, or shaping our story: You can just ship things.

We are looking for a Director of Trust & Safety Engineering to join our Security organization. You will lead a multidisciplinary group of software engineers and Trust & Safety professionals responsible for protecting Vercel’s platform, developers, and end users. Your teams will design and scale systems that prevent abuse, detect fraud, and uphold platform integrity. This role combines deep engineering leadership with strategic oversight of safety and fraud programs, ensuring our platform remains secure, compliant, and trusted by developers worldwide. You will report to the CTO, Security.

This role includes in-office anchor days on Monday, Tuesday, and Friday, from our San Francisco HQ. For location-specific details, please connect with our recruiting team.

• →Lead engineering teams that design, build, and operate systems to detect and prevent platform abuse, fraudulent usage, and malicious activity across the Vercel ecosystem.
• →Develop and maintain detection pipelines that identify fraud and abuse, including AI-generated activity such as synthetic accounts, automated misuse, and malicious or spam content deployed via AI tools.
• →Build systems that protect against billing and credit abuse, compromised accounts, and resource exploitation within Vercel’s platform and infrastructure.
• →Partner with Product, Security, Legal, Finance and Infrastructure teams to embed Trust & Safety program and fraud prevention capabilities directly into developer workflows and core platform architecture.
• →Create automated enforcement and remediation workflows that act on suspicious or confirmed fraudulent or abusive behavior in real time, maintaining a strong balance between platform protection and developer experience.
• →Drive the architecture and data strategy for trust signals, anomaly detection, and AI-driven abuse scoring systems.
• →Collaborate with Legal, Support, and Policy teams to ensure compliance with global regulations while maintaining transparency and fairness in enforcement actions.
• →Oversee the Trust & Safety operations team responsible for policy enforcement, incident response, and user protection.
• →Mentor and grow engineers and Trust & Safety specialists, fostering a culture of technical excellence, transparency, and accountability.

• 10+ years of experience in software engineering with a focus on security or trust & safety.
• 5+ years leading large, multi-disciplinary technical teams.
• Proven success building and scaling engineering organizations that deliver safety, security, or fraud prevention systems at global scale.
• Strong technical expertise in backend systems, distributed infrastructure, or data engineering, ideally within developer or platform ecosystems.
• Deep understanding of platform abuse, AI-generated fraud, automation-based misuse, and emerging risks in large-scale developer platforms.
• Experience designing or overseeing real-time detection and enforcement systems that use data analytics, automation, or machine learning.
• Skilled in building alignment between engineering, product, and policy stakeholders to operationalize Trust & Safety initiatives.
• Demonstrated ability to hire, mentor, and grow high-performing engineering and Trust & Safety teams.
• Strong judgment balancing innovation, platform reliability, and user safety in a fast-moving environment.

• Have built or led combined Engineering and Trust & Safety organizations in developer, SaaS, or infrastructure environments.
• Have experience using automation, analytics, or ML to detect and prevent AI-generated or coordinated abuse.