Product Engineer

You will help turn vision into product and bring our first AI agents into the hands of real users. This is a high-ownership role, working closely with the founding team and customers to build something truly new. You'll operate across the full stack—talking to customers one hour and debugging an agent loop the next—making the foundational technical decisions that define what the product becomes.

What you'll do

• Talk directly to customers and translate their needs into product direction and system architecture
• Build full-stack features that combine intuitive interfaces with intelligent backend logic, including LLM orchestration, agent workflows, and structured data pipelines
• Push the limits of what LLMs and agents can do in production, working through the hard problems of reliability, latency, and evaluation
• Scale from demo-quality code to robust, production-ready systems, making deliberate tradeoffs between speed and durability as the product matures
• Help shape the technical vision and product strategy of the company

What you'll need

• Strong skills in Node.js, TypeScript, and React, with an instinct for patterns that move fast without creating debt
• Experience with distributed systems and serverless infrastructure that handle concurrency, failure, and scale
• Hands-on MongoDB experience, including schema design that balances query performance with flexibility
• Familiarity with observability tooling, ideally Datadog
• Experience with modern AI tooling: LLMs, vector stores, embedding pipelines, prompt engineering
• Practical understanding of LLM-powered features in production—eval frameworks, structured output parsing, context window management, error recovery
• A track record of shipping products that create real value
• High-agency mindset and the ability to operate independently in a fast-changing environment

Nice to have

• Curiosity for how industries work and a drive to improve them through software

What they offer

• Top-of-market compensation and meaningful early equity
• Direct access to real users and fast feedback loops
• A highly experienced team with full trust and autonomy
• In-person Monday to Wednesday in Berlin office; annual offsite