Founding Engineer

Stott and May Professional Search Ltd
München, Germany
4 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
€ 100K

Job location

München, Germany

Tech stack

API
Artificial Intelligence
Software Applications
Azure
Software as a Service
Web Development
Python
Node.js
Product Management
Next.js
Software Construction
Software Engineering
Cloud Platform System

Requirements

  • Strong full stack engineering experience, particularly in modern web development
  • A product-oriented mindset with attention to UX and usability
  • Ability to operate in an early-stage environment with high ownership
  • Passion for building real-world AI applications
  • Someone who enjoys collaborating closely with founders and shaping direction

Nice to have

  • Startup experience
  • Exposure to AI-powered applications
  • Experience building user-facing SaaS products

About the company

We're partnering with an early-stage AI product company that is building software at the intersection of AI, sales, and go-to-market operations. The company is less than 2 years old, generating upwards of €500k ARR from enterprise customers, and is now entering its next phase of growth. The founding team has built strong commercial traction and a working product, but engineering capacity has become the key bottleneck. They are now hiring a Founding Engineer to work directly with the founder and help scale the platform. This is a rare opportunity to join a very early-stage, revenue-generating startup as one of the first technical hires and play a central role in shaping the product, architecture, and future engineering team. What you'll do * Build and iterate on a user-facing AI product used by commercial teams * Work directly with the founder on product and architecture decisions * Develop across the full stack to deliver high-quality features quickly * Improve system performance, stability, and scalability as usage grows * Use modern AI tooling to accelerate development workflows * Help lay the technical foundations for the future engineering team Tech stack * Modern web stack (Next.js / Node.js) * Python services * AI integrations via leading models and APIs * Cloud-native infrastructure - Azure

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