
201 - 500 employees
Founded 2016
☁️ SaaS
🌐 Web 3
💰 $150M Series D on 2021-11
SaaS • Web 3 • Cloud Computing
Vercel is a platform providing developer tools and cloud infrastructure to build, scale, and secure faster and more personalized web applications. It specializes in optimizing web performance through features like fast load times, scalable infrastructure, and global CDN distribution. The platform supports developers with automated workflows, a wide range of templates, and seamless integration with tools like Git for quick deployment. Vercel also emphasizes observability and security, offering privacy-friendly analytics and enterprise-level conformance.
🕒 February 2
🏢🏡 San Francisco – Hybrid
💵 $196k - $294k / year
⏰ Full Time
🟠 Senior
🧑💻 Full-stack Engineer
🦅 H1B Visa Sponsor
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201 - 500 employees
Founded 2016
☁️ SaaS
🌐 Web 3
💰 $150M Series D on 2021-11
SaaS • Web 3 • Cloud Computing
Vercel is a platform providing developer tools and cloud infrastructure to build, scale, and secure faster and more personalized web applications. It specializes in optimizing web performance through features like fast load times, scalable infrastructure, and global CDN distribution. The platform supports developers with automated workflows, a wide range of templates, and seamless integration with tools like Git for quick deployment. Vercel also emphasizes observability and security, offering privacy-friendly analytics and enterprise-level conformance.
• 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.
• Competitive compensation package, including equity. • Inclusive Healthcare Package. • Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. • Flexible Time Off. • We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.
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