Job Description

Responsibilities

• Analyze threat actor behavior and evolving abuse patterns across large, heterogeneous datasets.
• Research, prototype, and implement 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 with security, product, and infrastructure teams to bring research ideas into stable, scalable production systems.
• Own systems end-to-end from initial research through production deployment and iteration.

Requirements

• At least 5 years of experience in abuse prevention, trust and safety, or security engineering.
• Strong programming skills in JavaScript/TypeScript and Python.
• Hands-on experience 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 through research, production deployment, and iteration.

Benefits

• Competitive compensation package including equity, with a San Francisco base pay range of $196,000-$294,000.
• Inclusive healthcare package.
• Mentorship and support for attending professional events.
• Flexible time off.
• Company-provided equipment and a work-from-home budget.
• Hybrid work with Monday, Tuesday, and Friday in-office anchor days for employees within the commuting distance of SF, NY, London, or Berlin offices; fully remote otherwise.

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