Product Engineer at Qontext

We're building the self-maintaining source of truth for the AI-native company, the context repository that keeps company knowledge structured, up-to-date, permission-aware, and ready for every AI agent.

That takes people who are exceptionally talented, obsessed by the vision, and set on doing the best work of their lives. If that's you, read on.

The Opportunity

You'll own the core product experience of Qontext: the interface where companies decide what their AI is allowed to know, and how it stays true over time.

You'll turn deep backend logic, a graph-based, versioned, governed context repository, into product that feels effortless. From Access controls that define what each Client can reach, to the Change reviews where humans validate and refine context, you'll build the surface that the entire AI-native company runs on.

We're already live with 15+ design partners and launching v1 in Q3 2026. This is the rare moment where the product, the architecture, and the category are still yours to shape. We think of Qontext as a once-in-a-lifetime opportunity, and we hire people who feel the same.

What You’ll Do

• Design and build the interface connecting users, data sources, and AI context

• Build Access controls governing which Clients and Groups can reach what

• Ship human-in-the-loop Change reviews for context validation, feedback, and identity resolution

• Build new native connectors that turn external tools into live Data sources

• Turn complex backend logic into UI, APIs, and workflows that feel obvious

You’ll Thrive Here If You…

• Build beautiful, high-performance interfaces that make complexity usable

• Are fluent in TypeScript, React, and Tailwind, and obsess over interaction detail

• Think in systems and flows, not screens, and know how frontend and backend meet

• Live at the intersection of engineering and product, shaping UX through code

• Ship, test, and refine fast, with craft and speed together

Why Join Us

• Challenge: A genuinely hard intellectual and systems problem

• Cutting edge: Turning the latest research into a product used at scale

• Mission: Building the infrastructure for the next generation of work

• Impact: Shape the company and architecture from day one

• Ownership: Competitive salary plus meaningful early equity

• Culture: Deep-tech mindset, transparency, radical candor and fast execution

Process

1. Get to know each other · 30 min

2. Chat with co-founder(s) · 30 min

3. Technical interview · 1h

4. Take-home case · 3h

5. Case discussion · 1h

6. Offer

Practical Info

• Location: Berlin

• Start date: ASAP

• Type: Full-time

• Compensation: €65k - €120k + equity package