Software Engineer, Trust & Safety

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.

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.