Process Mining Engineer

Munich, Germany (Hybrid) Full-time Engineering

About the Role

We're building context/fab , a venture-backed industrial AI startup on a mission to upgrade manufacturing by solving the hardest data problems on the shop floor. As our first Process Mining Engineer , you'll architect and build the process intelligence layer that powers our platform — from automated process discovery to conformance checking to AI-driven process optimisation. This is a deeply technical, high-ownership role for someone who wants to improve and ship the core process mining systems behind a category-defining product.

What You'll Do

• Design and build our industrial process mining engine : event log extraction, process discovery algorithms, and conformance checking pipelines
• Hybrid Discovery : Develop automated models that bridge high-speed machine processes with human operator workflows
• Develop AI-enhanced variant analysis , bottleneck detection , anomaly detection , and predictive monitoring to optimise performance across shifts and facilities
• Build export and integration pipelines compatible with industry-standard formats (BPMN 2.0 , XES , OCEL ) for downstream tools and customer workflows
• Work with real factory data — noisy timestamps, missing events, multiple granularities — and turn it into reliable process insights
• Collaborate closely with fullstack/infrastructure/edge teams to integrate process mining into production services

What Makes You a Great Fit

• Strong experience in Python and building production-grade data/AI systems
• Experience with process mining concepts: event logs, process discovery (Alpha Miner, Heuristics Miner, Inductive Miner), conformance checking, or performance analysis
• Familiarity with process mining tools or libraries (PM4Py , Celonis, Signavio, or similar)
• Understanding of process modelling standards : BPMN 2.0, XES, OCEL 2.0, Petri nets
• Experience with time-series data , event correlation, and temporal pattern recognition
• Hands-on experience with graph databases , knowledge graphs, or process model storage is a plus
• Comfort working with messy, heterogeneous real-world datasets — irregular timestamps, incomplete traces, multi-system event sources
• Understanding of distributed systems, data modelling, or ETL/ELT pipelines
• Experience with manufacturing systems (MES, SCADA, ERP) or industrial protocols is a significant plus
• Exposure to Go/Rust ecosystems is helpful
• Pragmatic: you care about shipped impact, not research for its own sake

Qualifications

• Bachelor's or Master's in Computer Science, Engineering, AI/ML, Data Science, Industrial Engineering, or related field
• Strong communication and collaboration skills
• Fluent in English; German is a plus

Why Join Us

• Lead core engineering efforts and shape both product and architecture from day zero
• Work directly with founders at the early stage of a startup
• Build at the intersection of AI, manufacturing, and process intelligence — solving problems with huge real-world impact
• Excited about building up deep tech capabilities to keep manufacturing competitive in Europe
• Competitive salary and meaningful early equity
• Grow faster than anywhere else — experience a 10-year career in 2 years