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

Responsibilities