Eppo by Datadog

Founded in 2021, we offer an experimentation platform for A/B testing and feature management. Our platform is designed for product teams and the modern data stack, running A/B tests directly within data warehouses. It combines robust statistics with feature management and experiment reporting.

We make self-serve experimentation and feature management available to data teams, engineers, marketers, and product managers. This supports a range of uses, from simple A/B tests and rollout flags to AI personalization and marketing incrementality tests.

Our platform includes an experimentation module with a data warehouse-native architecture and a statistical engine for automated analysis. We provide feature flagging for A/B tests, feature gates, controlled rollouts, kill switches, and dynamic no-code configuration. We also offer personalization with Contextual Bandits and tools to evaluate AI models using business metrics.

Our architecture prioritizes warehouse-native integration, full metric governance, measuring core business metrics, optimizing data warehouse costs, and avoiding data egress, security, and privacy issues. Our statistical engine supports sequential, fixed sample, and Bayesian frameworks, along with CUPED variance reduction. We integrate with tools like Snowflake, Google BigQuery, Amazon Redshift, Databricks, LaunchDarkly, Optimizely, RudderStack, Segment, Split, DBT, and Google Analytics. Our clients include Twitch, DraftKings, and Perplexity.

We aim to help every company build a culture of experimentation, fostering entrepreneurial potential and streamlining manual experimentation workflows. We founded the company because existing commercial solutions didn’t offer the advanced capabilities of internal experimentation systems used by larger companies, often forcing teams to build their own tools. Our goal is to create a world where every team can operate with an entrepreneurial mindset, rapidly iterating on products and directly connecting those changes to business ROI through metrics.

We have a team of 51-200 employees. Our team members have experience building experimentation practices at companies like Airbnb, Stitchfix, Pinterest, and Webflow. We are backed by Amplify, the early team at Looker, and the CTO of Webflow. Our culture focuses on empowering entrepreneurial employees, giving them the support and autonomy to develop skills and relationships. We encourage tackling complex problems in a work environment that values experimentation and continuous learning.

We offer funds for learning and development, a competitive salary and equity package, unlimited time off, parental and family leave, and a full benefits package including health, vision, and dental insurance.