Companies that use Retool

Source: Analysis of job postings that mention Retool (using the Bloomberry Jobs API)

My analysis shows Retool purchasers span revenue operations (10%), engineering leadership (9%), product management (7%), and growth roles (6%). These buyers prioritize scaling operations efficiently, building internal tools rapidly, and automating workflows without extensive engineering resources. They're hiring for roles that bridge technical execution and business outcomes, suggesting Retool serves as infrastructure for go-to-market velocity and operational excellence.

Day-to-day users include automation engineers, product analysts, CRM specialists, and operations coordinators who build dashboards, configure workflows, and create internal tools. These practitioners use Retool alongside systems like Zendesk, HubSpot, and data warehouses to streamline everything from lead routing to customer support to financial reporting. The platform enables non-engineers to ship functional tools quickly while maintaining enough flexibility for technical users to build sophisticated applications.

Companies are solving visibility and velocity problems. One posting seeks someone to "build scrappy systems that remove bottlenecks" and "ship experiments to improve user time-to-value." Another describes the need to "turn messy, high-volume information into clean, repeatable, measurable motion." A third emphasizes "scaling intelligent automation" to improve "both player experience and operational effectiveness." The pattern is clear: organizations use Retool to transform manual processes into automated systems, giving business teams self-service capabilities while freeing engineering for core product work.

Source: Analysis of Linkedin bios of 33,485 companies that use Retool

I noticed that Retool's customers span an incredibly diverse range of operations, from hospitality giants like MGM Resorts and Krispy Kreme to niche players like a squash-focused youth nonprofit and an orchid farming company. What unites them isn't industry, but operational complexity. These companies manage intricate processes: tracking thousands of SKUs, coordinating distributed teams, processing high volumes of transactions, or juggling multiple data systems. They're builders and operators who need internal tools to wrangle messy backend operations, whether that's managing loyalty programs for convenience stores, coordinating construction training schedules, or processing immigration legal services.

The funding and size data shows Retool serves companies across all lifecycle stages, from two-person startups to 10,000-plus employee enterprises. However, the sweet spot appears to be growing organizations with 50-500 employees. Many lack recent funding rounds or show modest capital raises, suggesting they're operationally focused rather than venture-fueled growth machines. Even the large enterprises here often describe themselves with startup-like language about innovation and disruption.

Source: Analysis of tech stacks from 33,485 companies that use Retool

I noticed something striking about Retool customers: they're overwhelmingly product-led technology companies that have reached a stage where they need operational tooling to scale. The presence of Linear, Sentry, and Amplitude together tells me these are engineering-first organizations that prioritize developer experience and data-driven product decisions. They're not just using software, they're building software as their core business.

The pairing of Linear and Retool makes perfect sense because both tools serve teams that want to move fast without bloat. Companies using Linear for issue tracking are already bought into modern, lightweight workflows, and they turn to Retool when they need internal dashboards or admin panels without diverting engineering resources to build them from scratch. Similarly, the Sentry correlation suggests these teams are serious about production quality and need internal tools to manage incidents, review error patterns, or support customers directly. Amplitude's presence confirms these companies are analytics-driven and likely building custom reporting interfaces in Retool to make product metrics accessible across the organization.

The full tech stack reveals companies that are firmly product-led but past the scrappy startup phase. They have enough scale to justify dedicated tools like Jira Service Desk for support operations and Cloudflare Zero Trust for security, which means they're handling real customer volume and likely managing remote or distributed teams. These aren't massive enterprises yet, but they're in that growth stage where operational efficiency becomes critical and every engineering hour counts.