AI Onboarding Specialist

What you’ll doOwn 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 appearValidate 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 dateCommunicate progress, metrics movement, and blockers clearly to stakeholders; propose concrete next stepsImprove the onboarding process over time: checklists, docs, templates, and suggestions for tool improvements based on real usageCoordinate with installation teams to ensure camera setups support reliable onboarding and cross-station consistencyYou are2–5 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 improvesDetail-oriented and reliable with process execution (no skipped steps, good documentation hygiene)Fast, concise communicator who escalates early and clearlyStrong ownership mindset: you drive onboarding to completion and keep improving it post go-liveComfortable 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-SP1What we offerEmployee 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 manufacturingGain 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 companyCollaborate with a diverse (currently more than 10 nationalities) and talented