Companies that use Vercel

Source: Analysis of 100 job postings that mention Vercel

My analysis shows that Vercel buyers are predominantly engineering leaders, with Vice Presidents of Engineering (17%) and Directors of Software Engineering (8%) making purchasing decisions. These leaders prioritize hiring for modern tech stacks and AI-native development, signaling that Vercel is purchased to enable rapid product iteration and scalable digital experiences. The prevalence of leadership roles suggests Vercel is an infrastructure-level investment requiring executive buy-in.

The day-to-day users are overwhelmingly frontend and backend engineers (36% combined), working with React, Next.js, TypeScript, and headless CMS platforms. I noticed practitioners use Vercel for deploying customer-facing applications, marketing websites, and AI-powered products. They focus on performance optimization, Core Web Vitals, and seamless CI/CD pipelines. Many postings mention serverless architectures and edge computing, indicating Vercel supports teams building high-performance, globally distributed applications.

The pain points center on speed and scale. Companies want to "ship faster" and build "world-class digital experiences" while maintaining "high performance at scale." One posting emphasized building "scalable, high-quality applications," while another sought someone to "design and deliver impactful, data-driven marketing solutions." A third highlighted the need to "optimize performance and troubleshoot issues across Sitecore environments." These phrases reveal that organizations choose Vercel to accelerate deployment cycles, ensure reliability under growth, and deliver premium user experiences without operational overhead.

Source: Analysis of tech stacks from 22,183 companies that use Vercel

I noticed that Vercel users are heavily concentrated among companies building modern, content-driven web experiences. The overwhelming correlation with Next.js (137.5x more likely) combined with multiple headless CMS platforms tells me these are development teams prioritizing fast, SEO-friendly websites with sophisticated content management needs. These aren't traditional enterprise IT departments, but rather digital-first companies where the website itself is often the primary business channel.

The pairing patterns reveal a specific architectural philosophy. Next.js and Vercel go hand-in-hand because Vercel created Next.js, so this makes perfect sense. What's more telling is the cluster of headless CMS tools like Sanity.io (250.8x), Contentful (101.2x), and Storyblok (166.0x). These companies have separated their content management from their front-end presentation, allowing marketers to update content independently while developers maintain control over the user experience. The HuggingFace correlation (25.7x) is fascinating because it suggests many of these companies are experimenting with AI features, likely integrating machine learning models directly into their web applications.

The full stack reveals product-led and marketing-led organizations in growth mode. They've invested in infrastructure that lets non-technical teams move fast (headless CMS), while maintaining developer velocity (Next.js and Vercel's deployment pipeline). These aren't early-stage startups cobbling together basic sites, nor are they slow-moving enterprises. They're typically Series A through C companies, or profitable growth-stage businesses where the website drives customer acquisition and the team needs to ship updates daily, not monthly.

Source: Analysis of Linkedin bios of 22,183 companies that use Vercel

I noticed that Vercel's customers span an incredibly wide range, but a pattern emerges: these are companies actively building digital products, not just maintaining websites. They're creating AI-powered platforms (Dialogo AI, MarkTale, TuConnect), developing SaaS tools (Kota, Tenfolds, foam), building marketplaces (Wear Forward, OnRentX), or establishing digital presences for traditional businesses trying to modernize (Dina Farms, Tomasi Auto).

The vast majority are early-stage companies, evident from employee counts (mostly 2-50 employees) and funding stages (pre-seed, seed, or no funding listed). A few have reached modest scale, but even those feel like they're still in growth mode rather than established market leaders. The bios themselves signal this: they're aspirational, focusing on vision and potential rather than proven market dominance or long track records.