Software Engineer, Trust & Safety

About Vercel:

Vercel is the agentic infrastructure company. We free people and agents to ship what’s next.

For more than a decade, Vercel has shaped how the web is built. As the team behind Next.js, v0, and AI SDK, we create products that help builders move from idea to production with speed, security, and exceptional developer experience.

Now, software is entering a new era, and the next generation of products will not just be used by people. They will be built, extended, and operated by agents.

We are building the platform for that future, trusted by companies like OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. Whether you’re building our products, supporting our customers, growing our community, or shaping our story, you’ll help define what comes next.

As a Software Engineer on our Trust & Safety 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.

About You:

• 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.