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Analyze data on bad actor behavior patterns to understand their motives and tactics. Recommend strategic short-term and long-term solutions to mitigate their impact. Create and refine detection models that consume machine learning outputs and signals to minimize the presence of bad actors in the ecosystem. Code complex and efficient SQL and Spark queries on datasets in the scale of hundreds of millions of rows. Understand the engineering systems that generate signals and propose new signals that leverage them. Use strong communication skills (written and verbal) to contribute to business ruleset to improve efficacy of rules and their coverage of different abuse segments. Analyze, manipulate, or process large sets of data using statistical software. Create graphs, charts, or other visualizations to convey the results of data analysis using specialized software. Identify business problems that can be addressed through data analysis. Form technical solutions to address complex bad actor detection problems and be drivers and owners of the corresponding domain. Adopt best practices and set high engineering standards for the team, and form engineering recipes for the team to adopt. Mentor and technically lead other members on the team when solving a problem. Oversee platform integrity and user safety by identifying underlying issues and emerging trends in bad actor behavior to maintain a safe and trusted environment for all members. Conduct comprehensive data analytics to identify patterns of bad actors. Utilize statistical software to analyze, manipulate, and process large datasets effectively. Develop and implement enhancements to detection systems, improving bad actor identification and overall performance. Design and execute complex engineering solutions efficiently. Telecommuting may be permitted. When not telecommuting, must report to 285 Hamilton Ave, Palo Alto, CA 94301. Salary: $146,078 - $179,500 per year. MINIMUM REQUIREMENTS: Bachelor’s degree or U.S. equivalent in Computer Science, Data Science, Data Analytics, Business Analytics, or a related field, plus 5 years of professional experience as Anti-Abuse Analyst, Business Analyst, or any occupation/position/job title involving data analysis or data science. In lieu of a Bachelor's degree plus 5 years of experience, the employer will accept a Master's degree or U.S. equivalent in Computer Science, Data Science, Data Analytics, Business Analytics, or a related field, plus 3 years of professional experience as Anti-Abuse Analyst, Business Analyst, or any occupation/position/job title involving data analysis or data science. Must also have experience in the following: 3 years of professional experience analyzing data to identify gaps to recommend and implement improvements to systems; 3 years of professional experience writing big data queries including SQL, Spark or Amazon Redshift; 3 years of professional experience utilizing data visualization tools including Grafana, Mode or Tableau; 3 years of professional experience creating dashboards, visuals, or reports to share insights; 3 years of professional experience exploring data in search for actionable intelligence; 3 years of professional experience performing data analytics in a python notebook environment, including Databricks, Looker, Snowflake, Pandas, or Jupyter; 3 years of professional experience conceptualizing, creating, and implementing algorithms and models; 1 year of professional experience employing best practices (including team mentorship, anomaly detection techniques, ML model validation, A/B testing, and production deployment). CONTACT: Email resume to: _. Specify ad code JYLL. $146,078 - $179,500 a yearFactors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of a position based in Palo Alto, CA.#LI-DNI

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. As a Senior Software Engineer on our Trust & Safety team at Vercel, 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 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. • 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. The San Francisco, CA base pay range for this role is $196,000 - $294,000. 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. 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.