Senior Software Engineer, Trust & Safety

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.

As a Senior Software Engineer on our Trust & Safety team at Vercel, you’ll build and operate systems that protect millions of developers and projects from abuse at internet scale. You’ll analyze real-world threat actor behavior, detect emerging abuse patterns across large datasets, and design production-ready mitigations to keep the platform safe without slowing developers. This role blends security engineering, data analysis, and applied LLM techniques, working closely with product, infrastructure, and security teams to turn evolving threats into scalable defenses.

If you’re based within a pre-determined commuting distance of one of our offices (SF, NY, London, or Berlin), the role includes in-office anchor days on Monday, Tuesday, and Friday. If you're located beyond that distance, the role is fully remote. For location-specific details, please connect with our recruiting team.

• →Analyze threat actor behavior and evolving abuse patterns across large, heterogeneous datasets to inform detection logic, policy decisions, and scalable mitigations.
• →Research, prototype, and implement state-of-the-art LLM-driven techniques for abuse detection, classification, and prevention.
• →Design and develop production-ready systems that detect and disrupt abusive behavior across the Vercel platform.
• →Build, maintain, and fine-tune internal tools, datasets, and evaluation pipelines for trust and safety workflows.
• →Collaborate closely with security, product, and infrastructure teams to bring research ideas into stable, scalable production systems.

• 5+ years of experience in abuse prevention, trust & safety, or security engineering.
• Strong programming skills in JavaScript/TypeScript and Python.
• Hands-on experience working with LLMs, including prompt engineering, evaluation, and fine-tuning.
• Collaborate closely with security, product, and infrastructure teams to bring research ideas into stable, scalable production systems.
• Solid understanding of cloud infrastructure, including AWS.
• Strong understanding of real-world threat actor behavior and abuse tactics.
• Experience owning systems end-to-end, from initial research through production deployment and iteration.