Context Engineer — Customer-Facing, Hybrid Austria, Equity

Context64.ai GmbH

Graz

Hybrid

EUR 70.000 - 100.000

Vollzeit

Vor 3 Tagen
Sei unter den ersten Bewerbenden
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Zusammenfassung

Context64.ai GmbH in Graz, Austria, seeks a Forward Deployed Engineer to bridge customers, product, and engineering. You will model enterprise data, configure the Data Context Hub, and ship usable context graphs and AI-powered workflows for real deployments.

You will work closely with customers to understand their data landscapes, own integration efforts, and drive actionable feedback into the roadmap while operating within an early‑stage product environment.

Qualifikationen

  • Strong engineering and systems thinking skills applicable to complex data environments.
  • Production experience with at least two of: React, TypeScript, Python, APIs, or data systems.
  • Ability to understand complex enterprise data landscapes quickly and effectively.

Aufgaben

  • Work with engineering customers to translate data landscapes into usable context graphs and workflows.
  • Configure Data Context Hub models and graph structures per customer domain (auto, manufacturing, energy, pharma).
  • Build application surfaces on top of context graphs and collaborate with product/engineering to ship features.
  • Support pilots from discovery to production with onboarding and governance sign‑off.
  • Translate customer requirements into roadmap feedback for the product team.

Kenntnisse

Strong engineering thinking
Systems thinking
Clear communication
Ownership mindset
German (B2+)

Tools

React
TypeScript
Python
APIs
Data systems

Jobbeschreibung

Context64.ai GmbH in Graz, Austria, seeks a Forward Deployed Engineer to bridge customers, product, and engineering. You will model enterprise data, configure the Data Context Hub, and ship usable context graphs and AI-powered workflows for real deployments.

You will work closely with customers to understand their data landscapes, own integration efforts, and drive actionable feedback into the roadmap while operating within an early‑stage product environment.

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