Anti-Abuse Automation Engineer

About the Role

Join Vercel's Trust & Safety Engineering team to build and scale systems that protect our platform from fraud and abuse, tackling diverse challenges from financial fraud to platform misuse.

Responsibilities

• Investigate and proactively identify abuse vectors driving financial loss and platform risk, translating findings into scalable detections.
• Build, iterate on, and operate internal fraud detection tooling, rules, and anomaly alerting systems.
• Design and continuously refine operational workflows and automation to scale fraud prevention.
• Partner cross-functionally with Operations, Engineering, Product, and Finance to prioritize risks and ship effective fraud mitigation solutions.
• Act as a key stakeholder in incident response, leading fraud investigations and developing durable mitigation and prevention strategies.

Requirements

• 3+ years in fraud and abuse detection within Trust & Safety, with a strong focus on payment and financial fraud.
• Strong proficiency in SQL and experience navigating large, complex datasets to investigate fraud and build detection logic.
• Experience designing and implementing automation using scripting and AI tools.
• Experience building and maintaining detection logic (rules, heuristics, risk signals).
• Experience owning the iteration of enforcement and restriction strategies, optimizing for precision and loss prevention.
• Experience partnering cross-functionally with engineering, data science, and risk teams.

Nice-to-Haves

• Experience detecting and mitigating abuse in developer platforms.
• Familiarity with fraud patterns in cloud infrastructure, SaaS, or edge platforms.
• Experience leveraging signals from network, device, and usage patterns to detect sophisticated abuse.