Plaid has been hiring the best and brightest engineers in Seattle for years. This January, we’re opening a new office that gives that team a permanent home and room to grow.
Why Seattle
Much of the cloud and machine learning technology that powers modern financial infrastructure was built in Seattle. Now, we’re building on that work in the city where it started, and growing our team in one of the strongest engineering communities in the country. Now, we’re doubling down on our presence there as we build AI models on top of our network that understand the “grammar” of money.
We already have a meaningful engineering team in Seattle. Today, around 40 Plaid employees are based in the area. By July of 2027, we’re aiming to double that number. The office will be a hub for technical teams, but more importantly it will be a beacon of Plaid’s in-office engineering culture of serendipity, discovery, and experimentation.
The office
Our new Seattle office will be located in Westlake, with plans to welcome employees into the space in January 2027.
Spanning 11,466 square feet, the new office is designed to bring Plaids together to collaborate, connect, and build. The space features views of Lake Union, a private outdoor deck, and flexible gathering and event spaces for team meetings, company events, and community building. The office will also offer a range of amenities to support employees throughout the day, including three catered meals daily and a rotating selection of snacks. The investment in our Seattle office reflects Plaid's commitment to creating spaces where employees can do their best work, strengthen connections across teams and help shape the future of financial services.
What we're hiring for
Most of Plaid’s open roles in Seattle are in engineering, and the largest group is machine learning and data. Here's what's open as of today, with Seattle as a location:
Machine learning and data science. Senior machine learning engineers on Fraud, Embedded Insights, and ML infrastructure for fraud, research scientists on Fraud and Data Foundations and AI, and data scientists working on fraud, credit, and network value.
Data infrastructure. A Staff Software Engineer, Data Infrastructure.
Product engineering. Backend and full-stack software engineers at mid and senior levels, including Software Engineer, Backend and Senior Software Engineer, Full Stack.
Security. An AI Security Engineer, product security engineers, and a Head of Detection and Response.
Reliability. A Staff Site Reliability Engineer, Release Engineering and an Engineering Manager, Network Health.
What's next
If you're in Seattle and want to work on some of the most interesting technical challenges to unlocking financial freedom for everyone, see our open roles.