Olivier Pomel

Olivier Pomel co-founded Datadog in 2010 with Alexis Le-Quoc, both French-born engineers who had worked together at Wireless Generation in New York. Pomel previously worked at IBM Research and as a software engineering leader, experiencing firsthand the frustration of using disconnected monitoring tools — one for infrastructure, another for applications, another for logs — that made debugging production issues in cloud environments painfully slow. Datadog's founding insight was that as infrastructure moved from physical servers to cloud instances, containers, and serverless functions, the observability tools needed to be unified, cloud-native, and capable of correlating metrics, traces, and logs in a single platform. Rather than bolting together acquisitions, Datadog built most of its products organically on a shared data platform, giving it a consistency and integration depth that competitors struggle to match. The company went public in September 2019 and has been one of the highest-growth enterprise software companies in the market, surpassing $2 billion in annual revenue. Datadog's expansion strategy follows a deliberate "land and expand" playbook: customers typically start with infrastructure monitoring and then adopt APM (application performance monitoring), log management, synthetic monitoring, real user monitoring, security monitoring, CI visibility, and database monitoring. Companies using 4+ Datadog products represent the majority of ARR. Pomel's leadership style combines technical depth with disciplined execution. Unlike many SaaS CEOs who rely on acquisitions for product expansion, he has maintained a build-first approach, releasing new products at a pace that rivals much larger companies. The key risk is cloud spending optimization — when enterprises cut cloud costs, Datadog's consumption-based revenue model takes a direct hit. But Pomel's bet is that observability is non-discretionary spending: you can reduce your cloud footprint, but you still need to monitor what remains. As AI workloads proliferate, the volume of telemetry data — and the need to observe AI model performance — positions Datadog at the center of the next infrastructure cycle.