Job description
About Vercel:
Vercel gives developers the tools and cloud infrastructure to build, scale, and secure a faster, more personalized web. As the team behind v0, Next.js, and AI SDK, Vercel helps customers like Ramp, Supreme, PayPal, and Under Armour build for the AI-native web.
Our mission is to enable the world to ship the best products. That starts with creating a place where everyone can do their best work. Whether you’re building on our platform, supporting our customers, or shaping our story: You can just ship things.
About the Role:
We’re seeking a Fraud Specialist to join our Trust & Safety team, which protects the integrity of our platform across key abuse areas such as fraud, phishing, malware, CSAM, platform abuse, and IP/DMCA infringement.
In this role, you will collaborate across Operations, Product, Finance, and Engineering teams to strengthen and scale Vercel’s fraud prevention capabilities. You’ll analyze fraudulent activity, refine detection systems, develop operational processes, and help mitigate risk to both our users and the business.
If you’re based within a pre-determined 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. For location-specific details, please connect with our recruiting team.
What You Will Do:
- Investigate abuse vectors causing financial loss or reputational risk to the business.
- Monitor, maintain, and improve fraud detection and anomaly alerting systems.
- Develop and refine operational workflows to scale fraud prevention efforts.
- Manage and monitor the performance of internal tooling and fraud rules.
- Work cross-functionally across, Operations, Engineering, Product, and Finance to mitigate areas of risk.
- Represent Trust & Safety during incident response and create mitigation processes.
About You:
- 3+ years of experience in fraud or chargeback operations, investigations, or a related Trust & Safety vertical.
- Experience with user restriction systems and setting, tracking, and using KPIs to understand and optimize operations workflows and outcomes.
- Proven track record working cross-functionally to deliver impactful results.
- Strong attention to detail, and the ability to translate investigations into scaled systems.
- Worked with abuse detection systems that leveraged Machine Learning and/or LLMs for large-scale anti-fraud enforcement.
- Ability to take large data sets and distill key insights into actionable trends and strategies.
Bonus If You:
- Experience across multiple Trust & Safety domains, especially when it comes to web hosting or user generated content.
- Ability to create and interpret SQL queries.
- Experience using abuse-related ticketing and case management systems.
- Understanding of chargebacks and the overall payments landscape.
Benefits:
- 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.
The San Francisco, CA base pay range for this role is $128,000 - $192,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location, and the total package includes benefits and equity-based compensation. Your recruiter can share more details during the hiring process.
Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don’t necessarily check every box on the job description.
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