Deep contextual multi-armed bandits: Deep learning for smarter A/B testing on autopilot

The machine learning team at HubSpot recently published a paper which we presented at the Uncertainty in Deep Learning Workshop at the Uncertainty in Artificial Intelligence conference. In this paper, we outlined how we’re using machine learning to help our customers do better A/B testing in HubSpot. This technology is now available in HubSpot’s Lead Flows tool, and we’ll soon roll it out to many other areas of the product. In this post, we’ll explain how the technology works and how it will help our users accomplish A/B testing with less effort and higher returns.

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HubSpot’s Engineering Values

As our team has grown, we’ve reached a point where tribal knowledge just doesn’t get transmitted as easily as it used to. For much of this tribal knowledge — like why half our infrastructure team recently Photoshopped lasers onto their eyes in their Slack pictures — it’s not a big deal if not everyone's in on the joke. But when it comes to our team’s values — the very principles that shape how we work, and why — well, we want everyone to be on the inside.

At our engineering leadership offsite last month, we realized that as we scale, we need to share our engineering values — our most important tribal knowledge of all — more plainly, more publicly, and more often. While much of our value system gets transmitted by osmosis during everyday interactions between people and teams, we recognized that it was time for more explicit reinforcement and articulation. If we aren’t deliberate about exposing new hires to these principles early and consistently, as time goes on, we risk eventually diluting (and possibly losing) these important and hard-won values altogether — values that have shaped the team and the company that we are today. 

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Principles for good engineering leadership

In our recent post about how we do engineering leadership here at HubSpot, we shared our philosophy about what engineering leaders should focus on. 

We encourage our engineering leaders to be primarily product-focused (and, to a somewhat lesser degree, people-focused) rather than spending most of their time driving a process or managing people. This kind of leadership stands in stark contrast to the kinds of leaders who primarily care about administering and health-checking teams, or are on the hook for making sure their employees did the things they were supposed to do. 

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Why our engineering leaders focus on product over process

Who was the best manager you ever had?
 
Even though all of us have different people in mind, those people probably have a lot in common. Maybe he really cared about you as a person. Maybe she was a brilliant visionary who always knew how to push you to be better. Maybe their leadership styles were different but I’d wager that their philosophies were the same.
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Infrastructure as Code: Getting the best of both worlds with AWS and Google Cloud Platform

HubSpot has been an Amazon Web Services (or AWS) customer for ten years now. Our footprint includes almost 2,500 EC2 instances, many petabytes of data on EBS and S3, and over a petabyte of web traffic flowing through over a hundred different ELBs each month. AWS’s offerings have been a huge driver of our growth because it has allowed us to easily scale up or down our infrastructure as our needs have changed. Furthermore, running our infrastructure in the cloud allows our engineers to focus on building HubSpot instead of building a data center.

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How to gain widespread adoption of your design system

Using documentation to cultivate co-ownership between design and development

This post is the second in a series about HubSpot Canvas, our new Design Language. Read the first here. 

I came to HubSpot as a software engineering co-op just as a movement was growing. The design team had, over the previous months, created a gorgeous set of new typography, colors, and basic components that would become the cornerstone of a major redesign of our entire platform.

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