Movable Ink
Movable Ink Innovation & Technology Culture
Movable Ink Employee Perspectives
Movable Ink’s engineering teams invest in tools and processes that help developers identify problems quickly and continuously improve platform reliability. Developers use observability technology to pinpoint errors and reduce troubleshooting time, while employees are empowered to identify gaps and collaborate across teams on technical improvements.
“On my team, I appreciate the level of developer observability we currently have. Every developer has experienced the feeling of digging through logs only to find that the crucial piece of information that you need isn’t there, which is why we invest in reliable developer observability tools.
As an example, we use Sentry and NewRelic for our RoR application. Developers on my team have saved time by discovering the Sentry event that corresponds with a user experiencing a regression in our platform. These events contain all kinds of helpful information, such as the exact line of code that threw the error along with any provided parameters. This has saved countless hours of developer time.
Of course, observability is something that you have to constantly invest in, and there are plenty of times when we lack coverage. It’s important for me to empower individuals on my team to improve the system’s observability, sometimes working with our DevOps team — which can be itself an opportunity for individuals too.”

Movable Ink approaches AI innovation with a focus on making new technology practical and measurable for marketers. Its AI Suite includes built-in testing and reporting capabilities that allow customers to compare AI-driven results with previous approaches, helping them evaluate performance and adopt new workflows based on data.
“When marketers use the Movable Ink AI Suite, it changes the way they think about campaigns and content. Convincing a marketer to change the way they work requires that the new way performs much better. We overcame this challenge by building automatic holdout groups and reports in the user interface that show the marketer how the AI performs against their old way of marketing. Once they see the data, they buy into the new workflow and way of thinking.”
















