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Qontext

AI context layer with unified data

Founders Associate Intern

Business & StrategyConfirmed live in the last 24 hours
Internship · Fall 2026Berlin, GermanyIn-person

About the Job

Requirements

  • The candidate should have raw drive and be willing to work hard because they want to.
  • The candidate should be hands-on and able to get things done through messy problems.
  • The candidate should switch fluently between big-picture strategy and detailed execution.
  • The candidate should bring energy and optimism when things become difficult.
  • The candidate should want to learn how to build and scale an early-stage startup, potentially to start one in the future.

Responsibilities

  • Drive go-to-market activities, including sales, positioning, product marketing, and experiments that bring Qontext to market.
  • Build partnerships with artificial intelligence tools and consultancies, and run channels that grow the company's reach.
  • Set up revenue operations to make the funnel measurable and improve team speed.
  • Grow the company's presence in the artificial intelligence ecosystem through events, partnerships, and social media.
  • Own projects end to end, from idea to execution, and turn chaos into structure where situations are urgent or unclear.

About the Company

Qontext

AI context layer with unified data

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.

Company size
11-50
Company stage
Seed
Total funding
$2.7M
Headquarters
Berlin, Germany
Founded
2025

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