Companies that use Amplitude

Source: Analysis of 100 job postings that mention Amplitude

My analysis shows that Amplitude buyers are predominantly senior leaders in analytics (11%), marketing (17% combined VP and Director levels), and product management (7%). These decision-makers are focused on scaling data-driven cultures and building growth engines. The Head of Analytics and Director-level roles emphasize establishing "data as the backbone of how we make decisions" and creating "decision-ready insights" that influence company strategy. Their hiring priorities center on building teams that can translate complex data into actionable business outcomes.

The day-to-day users span product analysts, growth marketers, and lifecycle marketing teams who rely on Amplitude for funnel optimization, A/B testing, and customer journey analysis. These practitioners are tasked with tracking metrics like retention, conversion, LTV/CAC, and cohort behavior. They build dashboards, run experiments, and collaborate across product, engineering, and marketing to inform feature prioritization and campaign performance. The tool supports workflows from event instrumentation to self-service analytics.

The recurring pain points reveal companies struggling to move from "intuition-driven conversations to data-backed decisions" and seeking to "democratize data access" across organizations. Multiple postings emphasize the need to work in "imperfect data environments" while building "scalable, data-driven lifecycle programs." Companies want to "turn data into action" and create "measurement plans" that drive growth, particularly around activation, engagement, and monetization optimization across digital products.

Source: Analysis of tech stacks from 14,265 companies that use Amplitude

I noticed that Amplitude users share a distinctly product-focused, engineering-driven profile. These companies are building software products with sophisticated technical operations, and they care deeply about the developer experience. The presence of tools like Linear, Sentry, and Retool tells me these aren't traditional marketing-led businesses. They're companies where product teams drive strategy and engineers have significant influence over tooling decisions.

The pairing of Amplitude with Sentry is particularly revealing. When a company invests in both product analytics and error monitoring, they're treating product quality as a competitive advantage. They want to understand not just what users do, but also where the product breaks down. Similarly, seeing Linear alongside Amplitude suggests these teams move fast and iterate constantly. Linear is known for its speed and developer-friendly approach to project management, which pairs perfectly with data-driven product decisions from Amplitude. The Chargebee connection adds another layer: these are often B2B SaaS companies with subscription models who need to connect billing events to user behavior.

The full stack screams product-led growth. These companies likely offer self-service products where users can sign up and experience value before talking to sales. The Retool presence suggests they're building internal tools to scale operations efficiently rather than hiring large teams. Docker Hub indicates modern deployment practices and probably a cloud-native architecture. This isn't a company selling through cold calls and demos. They're optimizing conversion funnels, activation rates, and feature adoption.

Source: Analysis of Linkedin bios of 14,265 companies that use Amplitude

I noticed that Amplitude's typical customers are digital-first companies that live and die by user behavior. These aren't traditional businesses. They're building software products, mobile apps, e-commerce platforms, and digital services where understanding how people interact with their product is existential. I see SaaS companies offering marketing automation, CRM platforms, fintech apps, travel booking sites, gaming studios, and e-learning providers. What connects them is that they all have users clicking, tapping, and navigating through digital experiences that need to be measured and optimized.

The funding and scale signals are revealing. I see a healthy mix: seed-stage startups with 10-20 employees, Series A and B companies with 50-200 people, and some mature players with thousands of employees. Many are in that crucial growth phase, Series B to D, where they've found product-market fit but need to scale efficiently. The employee counts cluster around 50-500, suggesting companies large enough to have dedicated product and growth teams but small enough to still be optimizing aggressively.