Fullstack Engineer

🗣 Natter harnesses the power of AI and video to give everyone a voice.

In early April 2026, Natter announced its Series A. $23M raised to define the enterprise conversation intelligence category.

Natter is already being used by some of the world’s largest companies including ServiceNow, Accenture, Philip Morris, Lego, PwC, Mondelez, Cox Enterprises, SAP, Miro, Deloitte, Synopsys and many more.

Natter’s conversational AI platform allows tens of thousands of users to simultaneously share ideas and feedback through real-time video conversations. Its uniquely scalable tech allows anyone with a smartphone to, literally, have a say on the most important decisions - ranging from workplace strategy to new product offerings.

We partner with some of the world’s largest and most complex enterprises (Fortune 500 and equivalent), and are currently growing our team from 30 to 60 employees.

We're looking for a Senior Fullstack Engineer who thrives on owning products end-to-end. You'll work across the entire stack, from shaping the user experience to designing the systems behind it. This is a high-ownership role: you'll contribute to product decisions, set technical direction, and build things that matter.

You'll be joining a small, high-calibre engineering team that values ownership and autonomy over bureaucracy. We care about writing clean code, building reliable systems, and shipping work we're proud of.

The Stack

The Process

We respect your time. The process typically takes two weeks:

• Everyone owns quality. We don't have a separate QA team: if you write it, you test it, and you ship it.
• We ship constantly. We rely on CI/CD, feature flags, and observability to get code to production multiple times a day. Fast feedback is how we learn and improve.
• End-to-end ownership. You'll touch everything from database schemas to React components to the AWS infrastructure that runs them. It's your work, but always with your team's support.
• We use AI to work smarter. Claude Code, Codex, and other tools help us handle the mundane so we can focus on the hard, interesting problems.
• Language isn't the point. We care more about engineering fundamentals than whether you know Python, TypeScript, or Rust.