Product Engineer
Qontext
Product Engineer
Qontext
AI context layer with unified data
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.
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.
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
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
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
Get to know each other · 30 min
Chat with co-founder(s) · 30 min
Technical interview · 1h
Take-home case · 3h
Case discussion · 1h
Offer
Location: Berlin
Start date: ASAP
Type: Full-time
Compensation: €65k - €120k + equity package
Qontext provides an independent context layer for AI by centralizing and continuously updating business context. It ingests data from CRMs, documents, chat systems, and other sources to create Context Vaults, a live, structured graph of interconnected entities accessible via a single API. This context layer can be used by any AI model or tool, without vendor lock-in, to make AI processes context-aware from day one. By supplying a unified, up-to-date knowledge base about customers, products, and processes, Qontext enables workflows, agents, and applications to run with consistent, relevant context. The platform is GDPR compliant and designed to work across departments such as marketing, sales, and customer support, positioning the company as infrastructure for enterprise AI. Its goal is to reduce fragmentation of business knowledge, improving the reliability, scalability, and governance of AI applications through reusable context data and a data-graph approach.
Explore more opportunities at Qontext