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Join us at Tumblr!
During an interview, a candidate recently asked me why, after more than five years, I still work at Automattic. Why? I like the people I work with, and they alone are a good reason to stay. Being globally distributed means I get to work with colleagues from various backgrounds. This helps me understand first‑hand what’s happening…
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Architecting ExPlat: Automattic’s New Experimentation Platform
Last month, my colleague Aaron Yan published a broad overview of Automattic’s new Experimentation Platform (ExPlat). This month, we’ll dive deeper into ExPlat’s architecture and design, explain how the landscape at Automattic informed our architectural decisions, and describe the platform’s main components. Future posts will share details on each component and other aspects of experimentation…
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ExPlat: Automattic’s Experimentation Platform
Over the past 18 months, the Decision Science team has been building the Experimentation Platform (ExPlat): a tool to help our colleagues run experiments to improve customer experiences, inform product decisions, and quantify the impact of newly released features on many of Automattic’s products such as WordPress.com, Jetpack, Akismet, and more. In this multi‑part series, we…
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SQL — a Common Language for the Whole Data Team
Today, I wanted to share how we’ve empowered colleagues outside the data engineering team to write their own data transformations by overcoming coding language barriers. Within our Data team, there are several specializations: Data Analysts create dashboards and analyze data for business leads and product teams across the company. Data Scientists apply machine learning technology at…
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“I found a lot of new and exciting ways to break WordPress.com”: Highlights of our time at Automattic
A few of my colleagues — with tenures at Automattic from just a few months to many years — share their highlights of working here. Robert Felty Robert, you rejoined us a few months ago. What has been your highlight so far? I would like to focus on one aspect of Automattic which has been dramatically…
Data for Breakfast 