AI Go-live Specialist
About this role
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
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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
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