Product Engineer
We’re building the independent context layer for AI – a missing piece of infrastructure that allows every AI process in a company to act on relevant and up-to-date context.
We’re a fast-moving, well-funded team based in Berlin, backed by HV Capital, Zero Prime and the founders of n8n, neo4j, Cognigy, make.com, Celonis and Nabla.
The Opportunity
In this role, you’ll design and build the interface that lets companies control how AI understands their world – turning fragmented company data into meaningful context for every AI process.
You’ll own the core product experience of Qontext: from designing access controls that define what AI agents can “know,” to building intuitive human-in-the-loop tools for validating and refining context.
Qontext is already getting used by 10+ design partners and we are aiming to launch v1 of our platform in Q2 2026.
If you enjoy deep technical challenges, working from first principles, and shipping products that define a new category – this role is for you.
What You’ll Do
Design and implement the interface that connects users, data, and AI context
Develop access control systems defining which AI processes can access specific context
Build human-in-the-loop (HITL) features for context validation, feedback, and identity resolution
Turn complex backend logic into intuitive UI, APIs, and workflows that feel effortless
Integrate with external SaaS tools (e.g., Notion, HubSpot) to extract structured meaning – not just data transfer
You’ll Thrive Here If You…
Love building beautiful, high-performance interfaces that make complexity usable
Are fluent in TypeScript, React, and Tailwind, and care deeply about design details and interaction quality
Think in systems and flows, not just screens – you understand how frontend and backend connect
Thrive at the intersection of engineering and product design, shaping UX through code
Value craft, curiosity, and speed – you like to ship, test, and refine fast
Why Join Us
Challenge: Highly complex intellectual & logical challenge
Cutting Edge: Turning latest research into a product used by the masses
Mission: Build the foundational context infrastructure for AI processes
Impact: Shape the company and architecture from day one
Ownership: Competitive salary + meaningful early equity
Culture: Deep-tech mindset, transparency, radical candor and fast execution
Process
Get to know each other – 30 min
Technical interview – 30 min
Technical take-home case – 3 h
Case discussion – 45 min
Offer
Practical Info
Location: Berlin
Start date: ASAP
Type: Full-time
Compensation: €65k - €100k + equity package