About Vercel:Vercel is the agentic infrastructure company. We free people and agents to ship what’s next. For more than a decade, Vercel has shaped how the web is built. As the team behind Next.js, v0, and AI SDK, we create products that help builders move from idea to production with speed, security, and exceptional developer experience. Now, software is entering a new era, and the next generation of products will not just be used by people. They will be built, extended, and operated by agents. We are building the platform for that future, trusted by companies like OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. Whether you’re building our products, supporting our customers, growing our community, or shaping our story, you’ll help define what comes next. About the Role:We are looking for a software engineer to join our GTM Engineering team. You will build AI apps and workflows that drive revenue. You’ll partner closely with Sales, Marketing, Success, and Data to find opportunities and ship novel solutions with Vercel’s AI Cloud. You will report to the Director of GTM Engineering and will be remote. 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: - Ship code daily using the Vercel AI Cloud - Discover user pain and ship high-impact solutions - Collaborate with top performers in GTM departments and ship their best practices to the org with systems - Test new features and give feedback to engineering - Publish best practices and guides on using Vercel’s AI Cloud About You: - Have shipped a Next.js app to production with users - Have 4+ years of full-stack development experience - Familiar with the Vercel ecosystem - Experience working with AI models and APIs (e.g., OpenAI, v0 API, Anthropic) Bonus If You: - Have built an AI agent - Have automated repetitive tasks with AI - Have built features with the AI SDK - Have published blogs/videos explaining technical concepts 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 On Target Earning (OTE) pay range for this role is $180,000 - $310,000. Actual salary & OTE 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. #LI-DNI

About Vercel:Vercel is the agentic infrastructure company. We free people and agents to ship what’s next. For more than a decade, Vercel has shaped how the web is built. As the team behind Next.js, v0, and AI SDK, we create products that help builders move from idea to production with speed, security, and exceptional developer experience. Now, software is entering a new era, and the next generation of products will not just be used by people. They will be built, extended, and operated by agents. We are building the platform for that future, trusted by companies like OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. Whether you’re building our products, supporting our customers, growing our community, or shaping our story, you’ll help define what comes next. 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. What you will do: - 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. About You: - 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. 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 $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.

• Designing, developing, and maintaining backend services that handle notifications and emails while ensuring the performance, security, and scalability of our systems. • Designing, developing, and maintaining high quality, performant frontend features. • Contributing to the full development cycle: technical design, development, test, experimentation, analysis, and launch. You’ll be writing design docs and code, and get valuable feedback on your work. • Working collaboratively with product managers, designers, data scientists and other engineers to deliver high-quality products. • Contributing to the infrastructure that supports all of the above

🚀 Join the Future of Commerce with Whatnot!Whatnot is the largest livestream shopping platform in North America and Europe to buy, sell, and discover the things you love. Whether it's trading cards, fashion, electronics, or live plants, our sellers are building real businesses across hundreds of categories. We're building live commerce at a scale that's never been done in the West, and there's no playbook to copy. The people here are shaping how an entirely new industry develops. As a remote co-located team, we're inspired by our values and anchored in hubs across the US, UK, Ireland, Poland, Germany, and Australia. We move fast, stay close to our users, and focus on the work that drives the most impact. We're one of the fastest growing marketplaces and were recently named the #1 Best Startup Employer in America by Forbes. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business and bring people together through commerce. 💻 RoleThe Fraud Experience team builds intelligent, real-time systems that safeguard Whatnot’s marketplace from malicious activity. We design, develop, and deploy end-to-end, ML-driven systems that proactively identify and mitigate fraud — blending real-time detection with transparent, user-centered enforcement. What You'll Do - Lead the full architecture of fraud detection, prevention, and intervention systems — spanning machine learning, backend, and client-side components. - Build intelligent user graphs to model behavioral patterns, detect collusion networks, and uncover account connectivity at scale. - Design, train, and deploy both traditional ML and LLM-powered models to detect fraudulent activity across users, payments, and marketplace interactions. - Develop scalable data pipelines and real-time inference systems capable of supporting high-volume, low-latency ML workloads. - Create human-in-the-loop systems that continuously refine detection accuracy and adapt to evolving adversarial tactics. - Perform deep behavioral and adversarial data analysis to surface emerging fraud trends and drive continuous system improvement. - Stay ahead of the curve by translating new insights into adaptive, production-ready systems that evolve as fast as our adversaries. We offer flexibility to work from home or from one of our global office hubs, and we value in-person time for planning, problem-solving, and connection. Team members in this role must live within commuting distance of our Los Angeles, New York, San Francisco or Seattle hub. 👋 You People who do well at Whatnot tend to be comfortable figuring things out as they go, biased toward action, and genuinely curious about what they're building. They care more about outcomes than credit and stay close to the product and the people using it. As our next Software Engineer in Fraud team, you should bring 4+ years of software development experience in high-growth environments, along with a strong bias toward action and impact. What You’ll Bring - Bachelor’s degree in Computer Science, Statistics, Applied Mathematics, Economics, or a related technical field. - 4+ years of software engineering experience building systems for consumer-scale traffic and reliability. - 1+ years writing production-grade Python code and working with ML libraries (e.g. PyTorch, LightGBM). - 1+ years of experience in machine learning or fraud prevention domains. - Deep business intuition and a data-driven mindset — you think critically about how abuse prevention systems affect growth and user experience. - Fluency with data tooling, including data warehouses (e.g. Snowflake) and transformation frameworks (e.g. dbt, Dagster). - Strong communication skills and the ability to lead initiatives across product areas, collaborating closely with leadership, data science, and product teams. - Experience working in a remote-first environment and producing well-tested, reproducible work. What Sets You Apart - You’re impact-obsessed — you focus relentlessly on delivering value for users and simplify wherever possible, moving fast without sacrificing quality. - You’re entrepreneurial and relentless — you prioritize effectively, tackle hard problems with curiosity, and go above and beyond to make things happen. - You have a growth mindset and love digging into ambiguous user problems, crafting data-driven solutions, and shipping improvements quickly. - Hands-on machine learning or data science experience in production environments. 🎁 Benefits - Generous Holiday and Time off Policy - Health Insurance options including Medical, Dental, Vision - Work From Home Support - Home office setup allowance - Monthly allowance for cell phone and internet - Care benefits - Monthly allowance for wellness - Annual allowance towards Childcare - Lifetime benefit for family planning, such as adoption or fertility expenses - Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally - Monthly allowance to dogfood the app - All Whatnauts are expected to develop a deep understanding of our product. We're passionate about building the best user experience, and all employees are expected to use Whatnot as both a buyer and a seller as part of their job (our dogfooding budget makes this fun and easy!). - Parental Leave - 16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence. 💛 EOEWhatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce.