Staff Full-Stack Engineer (backend leaning, frontend curious)

Flatfile is full of builders driven by a dual desire to make cool stuff and create tangible value. We pride ourselves in obsessing over the details but also grounding our decision-making and pace in whether we’re doing what’s in the best interest of our end users.
This is an exciting role because it sits at the nexus of everything we’re doing at Flatfile. Whether it’s leveraging AI to transform data, optimizing the performance of our data engine, or building new collaborative features into our workflow product, this role has a broad scope.
This role reports to: Jon Bell, VP of Product
This role may be listed at other companies as:• Lead Full Stack Engineer• Principal Full Stack Engineer
Why are we hiring for this now?Flatfile is a post-product market fit startup with rapidly accelerating growth, tons of runway, a lean, hungry, and sharp team playing for a huge outcome. We’re closing massive enterprise deals and evolving our platform quickly to scale with the growing demand. We have an ambitious roadmap ahead of us and need someone excited to lead the charge on many of these customer-impacting projects. From optimizing our event-driven system to scaling our industry-leading data engine, opportunities abound.
We want you to be a part of this.
Tech StackIn this role, you’ll use Node (Nest.js), Prisma, Postgres, Git, Flatfile’s homegrown data engine, and utilize AI for performance gains on a daily basis.

In this role, you will:

• Design and build backend services that power our scaling data exchange platform
• Provide leadership and guidance to internal team members on the implementation of architecture and system designs
• Developing and enhancing complex data structures to support enterprise use cases
• Own feature delivery from solution design to production operation
• Implement strategies to minimize data mapping errors, improve data accuracy, and establish performance benchmarks to ensure exceptional system performance 
• Improve usability through refined micro-interactions and interface design, as well as developing AI-powered features to assist users in managing, analyzing, and resolving data issues.
• Share responsibility for responding to critical incidents as needed. Like all other teams, we are responsible for the reliability of the systems we build.
• Contribute to, enable, and implement new AI models and features in partnership with our Applied AI team.

If this sounds like a fun challenge, let’s define the Data Exchange category together!

Consider applying if you have:

• 7+ years experience in a …