AI Onboarding Engineer

<p style="min-height:1.5em"><strong>What you’ll do</strong></p><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Own onboarding outcomes against success metrics and customer KPIs (quality, reliability, time-to-value)</p></li><li><p style="min-height:1.5em">Execute the initial onboarding cycle using internal tools, then <strong>revisit and iterate</strong> to improve quality as new data and edge cases appear</p></li><li><p style="min-height:1.5em">Validate input data quality and flag issues early (camera angle, occlusion, anonymization, variance, missing detections)</p></li><li><p style="min-height:1.5em">Detect and document edge cases and SOP/process variance; grow a diverse dataset and keep it up to date</p></li><li><p style="min-height:1.5em">Communicate progress, metrics movement, and blockers clearly to stakeholders; propose concrete next steps</p></li><li><p style="min-height:1.5em">Improve the onboarding process over time: checklists, docs, templates, and <strong>suggestions for tool improvements</strong> based on real usage</p></li><li><p style="min-height:1.5em">Coordinate with installation teams to ensure camera setups support reliable onboarding and cross-station consistency</p></li></ul><p style="min-height:1.5em"><strong>You are</strong></p><ol style="min-height:1.5em"><li><p style="min-height:1.5em">2–5 years experience in a structured execution role (implementation, QA, solutions engineering, ops/industrial engineering, data ops, etc.)</p></li><li><p style="min-height:1.5em">Metrics-minded: you can define “good”, track it, and drive iteration until it improves</p></li><li><p style="min-height:1.5em">Detail-oriented and reliable with process execution (no skipped steps, good documentation hygiene)</p></li><li><p style="min-height:1.5em">Fast, concise communicator who escalates early and clearly</p></li><li><p style="min-height:1.5em">Strong ownership mindset: you drive onboarding to completion and keep improving it post go-live</p></li><li><p style="min-height:1.5em">Comfortable with technical systems (ML depth not required, but you can reason about symptoms and inputs)</p></li><li><p style="min-height:1.5em">Manufacturing/process exposure is a strong plus</p></li></ol><p style="min-height:1.5em"></p><p style="min-height:1.5em">#LI-Hybrid #LI-SP1</p><p style="min-height:1.5em"><strong>What we offer</strong></p><p style="min-height:1.5em">Employee Share Options Program for all permanent employees*</p><p style="min-height:1.5em">An increasing benefits list: currently includes Urban Sports club and quarterly team retreats.</p><p style="min-height:1.5em">Be on the forefront in defining what artificial intelligence means in manufacturing</p><p style="min-height:1.5em">Gain hands-on experience in working in an AI-first software company </p><p style="min-height:1.5em">Supportive and inclusive culture that values diversity and promotes the advancement of underrepresented groups within the company</p><p style="min-height:1.5em">Collaborate with a diverse (currently more than 10 nationalities) and talented team, working on cutting-edge projects with real-world impact</p><p style="min-height:1.5em&qu