Full Stack Engineer (TypeScript, Node.js, React) - B2B SaaS

Join a well-funded, rapidly growing B2B SaaS technology company building a product used by thousands of professionals across Europe.

You'll take ownership of features from concept through to deployment, working closely with Product and Design and having a direct influence on the evolution of the platform.

What you'll be doing:

• Build and ship new product features, including AI-powered functionality and intelligent automation.
• Work across the stack using TypeScript, Node.js and React.
• Help shape technical direction and product decisions alongside Product and Design.
• Design and implement modular services and packages within a large-scale codebase.
• Own projects independently, from initial concept through production.
• Contribute to improving engineering standards, architecture and maintainability.

What we're looking for:

• Strong professional experience building and maintaining complex web applications with TypeScript.
• Deep Node.js backend experience and strong React expertise.
• Experience working across the full stack rather than being purely frontend or backend focused.
• Comfortable taking ownership of projects and making technical decisions independently.
• Experience working in an agile, product-led environment.
• Strong communication skills in English.

Nice to have:

• AWS, Kubernetes or Terraform experience.
• CI/CD experience.

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• Exposure to data engineering, AI or machine learning.

The opportunity:

• 100% remote within Germany or office-based in a major German city.
• Flexible working hours.
• Strong engineering culture with significant autonomy.
• Opportunity to work directly on AI-driven product development.
• The engineering culture is pragmatic and collaborative, with a strong emphasis on ownership, autonomy and quality rather than unnecessary process.

Why it's interesting: this isn't a traditional software engineering role where you'll simply be delivering tickets. You'll have genuine ownership across product, architecture and implementation, while working on the integration of AI into a product already operating at significant scale.