Product Engineer

Design and build the interface where companies manage their context.

Team

Engineering

Type

Full-time

Location

Berlin

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

  1. Get to know each other – 30 min

  2. Technical interview – 30 min

  3. Technical take-home case – 3 h

  4. Case discussion – 45 min

  5. Offer

Practical Info

  • Location: Berlin

  • Start date: ASAP

  • Type: Full-time

  • Compensation: €65k - €100k + equity package

Stop rebuilding context. Start scaling AI.

Stop rebuilding context.
Start scaling AI.