What you’ll do
Own onboarding outcomes against success metrics and customer KPIs (quality, reliability, time-to-value)
Execute the initial onboarding cycle using internal tools, then revisit and iterate to improve quality as new data and edge cases appear
Validate input data quality and flag issues early (camera angle, occlusion, anonymization, variance, missing detections)
Detect and document edge cases and SOP/process variance; grow a diverse dataset and keep it up to date
Communicate progress, metrics movement, and blockers clearly to stakeholders; propose concrete next steps
Improve the onboarding process over time: checklists, docs, templates, and suggestions for tool improvements based on real usage
Coordinate with installation teams to ensure camera setups support reliable onboarding and cross-station consistency
You are
2–5 years experience in a structured execution role (implementation, QA, solutions engineering, ops/industrial engineering, data ops, etc.)
Metrics-minded: you can define “good”, track it, and drive iteration until it improves
Detail-oriented and reliable with process execution (no skipped steps, good documentation hygiene)
Fast, concise communicator who escalates early and clearly
Strong ownership mindset: you drive onboarding to completion and keep improving it post go-live
Comfortable with technical systems (ML depth not required, but you can reason about symptoms and inputs)
Manufacturing/process exposure is a strong plus
#LI-Hybrid #LI-SP1
What we offer
A competitive salary & stock options*
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?
Deltia 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.
*Only full-time, permanent roles are eligible for stock options. Part-time roles, contract roles, work-student, internships and freelance roles are not eligible for stock options.
Top Skills
What We Do
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.
