Onboarding Engineer tasked with enhancing customer onboarding for AI solutions in manufacturing. Collaborating with teams to ensure quality metrics and continuous improvement processes.
Responsibilities
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
Requirements
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
Benefits
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
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