Software Engineer, Trust & Safety

Vercel is the agentic infrastructure company. We free people and agents to ship what’s next. For over a decade, we’ve shaped how the web is built through products like Next.js, v0, and AI SDK. Now, we’re building the platform for the next generation of software—one where agents build, extend, and operate products—trusted by companies like OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide.

About the role

As a Software Engineer on our Trust & Safety team, 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 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.

Responsibilities

• 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.

Requirements

• 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.
• 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.

Benefits

• Competitive compensation package, including equity.
• Inclusive Healthcare Package.
• Learn and Grow: mentorship and event opportunities to build your network and skills.
• Flexible Time Off.
• Work gear and WFH budget to outfit your space.

Pay

The San Francisco, CA base pay range for this role is $208,000 - $312,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role.