What you'll do
Collaborate with manufacturing customers to analyze production data and uncover performance drivers
Work closely with AI and backend engineers to define, test and refine data pipelines, features and quality metrics
Build clear, reliable dashboards and reports that highlight process efficiency, bottlenecks and improvement areas
Identify anomalies or optimization opportunities that feed back into our product's analytics layer
Write clean, well-structured code for data processing and analysis — maintainable, reviewable, and production-aware
Act as the bridge between Customer Success, Product and Engineering — turning operational insights into measurable impact
You are
3–5 years in data analytics or process optimization, ideally in manufacturing, automotive, pharmaceutical or other high-volume industries
Strong in SQL and Python (or similar) — able to write clean, efficient, reusable code
Experienced working with production data, sensors, or process control systems
Analytical mindset with understanding of data modeling, feature extraction and algorithmic thinking
Convenient communicating findings to both technical and operational stakeholders
Curious, structured and pragmatic — you solve real problems, not just analyze them
Open to occasional travel to manufacturing plants
Nice to have
Background in process engineering, lean manufacturing, or industrial analytics
Familiarity with manufacturing software (MES, ERP, SCADA, etc.)
Experience integrating analytics into customer-facing workflows and image processing
What we offer
Employee Share Options Program for all permanent employees*
An increasing benefits list: currently includes Urban Sports club and quarterly team retreats.
Be on the forefront in defining what artificial intelligence means in manufacturing
Gain hands-on experience in working in an AI-first software company
Supportive and inclusive culture that values diversity and promotes the advancement of underrepresented groups within the company
Collaborate with a diverse (currently more than 10 nationalities) and talented team, working on cutting-edge projects with real-world impact
Network with professionals and leaders in the field, opening doors to potential future career opportunities
We have a very flat hierarchy, open 360° feedback, and flexible working hours
Ethics: We are committed to developing ethical AI software
Don't meet all the requirements?
Almetra is committed to creating a workplace that is diverse, fair, and inclusive. We encourage candidates from all backgrounds, even if they do not meet every qualification, to submit their application. We firmly believe that having a team with diverse perspectives only strengthens our company and drives innovation. Our commitment also extends to providing an accessible environment for everyone, including those with disabilities. Please let us know if you require any accommodations during the application process or while working with us, and we will do our best to support you.
Compensation range: €50K - €65K
AI-based process analytics platform to increase productivity and quality in manual shop-floor processes. Processes are captured using computer vision and automatically analysed with a highly flexible AI to identify improvement potential.
1. Real-time capture with cameras
Cameras are installed at individual assembly stations capturing live video streams of assembly or packaging tasks.
2. AI tracks material & work steps
Video streams are continuously analyzed to detect workpiece movements, cycle times, and work step sequencing.
3. Aggregation for data analysis
Process data is aggregated per article and production to provide insights on process performance. Video snippets allow for a comprehensive root-cause analysis.
4. Data-driven improvements
Your factory managers and process engineers define, implement and measure process improvements to increase productivity and quality in your assembly line.