context/fab
Forward Deployed Engineer
Skills
2 months ago
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Important information
Contract type:
Permanent
Location:
Munich, Germany
Work mode:
Onsite
Published on:
12 August 2026
What they need
About the Role:
We’re building context/fab , a venture-backed industrial AI startup building the agentic operating system for the future of manufacturing .
Our vision is the self-aware factory : factories that understand their own equipment, processes, data and operational context, and where AI agents can reason across this context to solve real manufacturing problems.
context/fab automatically connects fragmented industrial data and knowledge into a Context Graph , providing the foundation for agents across production, quality, maintenance, logistics and engineering.
We work directly with large industrial enterprises and leading SMEs , bringing this technology into real factories and operational workflows.
As our Forward Deployed Engineer , you’ll work directly with customers from discovery through deployment and expansion. You’ll understand how their factories operate, identify high-value problems, connect their systems and data to context/fab, and configure and deploy agents that deliver measurable operational impact.
What you will do:
- Work directly with customers to understand their factories, workflows, systems and most valuable operational problems
- Lead technical discovery, workshops and use-case definition together with customer operations, engineering and IT teams
- Translate manufacturing problems into agents and custom capabilities for the customer and measurable success criteria
- Build, configure and deploy agents and workflows for production, quality, maintenance, logistics and engineering use cases
- Connect customer data across PLCs and industrial protocols such as OPC UA and MQTT, SCADA and historians, MES, ERP, QMS, CMMS, databases, APIs and technical documentation
- Use our automated Context Graph capabilities to contextualize factory data and validate the resulting representation together with customer experts
- Work closely with customers during pilots and rollouts, troubleshoot issues and continuously improve the solution
- Identify recurring customer needs and translate field learnings into clear requirements for our product and engineering teams
- Support technical sales and solution discovery for new customers
What makes you a great fit:
- Strong technical foundation across software, data or industrial systems
- Product-minded and excited about discovering and deeply understanding customer problems
- Comfortable working directly with engineers, plant teams, operations leaders and enterprise IT
- Experience with Python, APIs, databases or data integration
- Experience with manufacturing, industrial systems, AI agents or enterprise software is a strong plus
- Entrepreneurial mindset with a strong bias for ownership, urgency and building from zero to one in ambiguous environments
- Naturally driven to take end-to-end responsibility for customer outcomes and to operate with the autonomy of a founder inside a customer context
- Willing to travel regularly to customer sites
- Fluent in English; French, Italian, German or other European languages are a plus. Please list all languages you speak and your level in each in the "Anything else you want to tell us?" field of your application.
Qualifications:
- Bachelor’s or Master’s in Computer Science, Engineering, AI/ML, Data Science or a related field, or equivalent practical experience
- Strong communication skills and comfort operating independently in a fast-moving environment
Why join us:
- Build the agentic operating system for the self-aware factory
- Work directly with large industrial enterprises and leading SMEs on real production problems
- Shape both our product and how it is deployed from an early stage
- Work directly with the founders and a highly technical team
- Help build deep-tech capabilities that keep manufacturing competitive in Europe
- Competitive salary and meaningful early equity
- Grow faster than almost anywhere else: experience a 10-year career in 2 years
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