The Onboarding Specialist is responsible for ensuring that customer locations are accurately and promptly onboarded once cameras are installed. This role manages the onboarding process from initial camera setup and verification through market report validation and successful activation, ensuring each location meets all requirements before being handed over for monitoring and investigation.
The Onboarding Specialist works closely with customers and internal teams to identify and resolve onboarding issues, maintain accurate location data, and ensure a smooth transition from installation to active monitoring.
Key Responsibilities:Ensure timely and accurate onboarding of new customer locations.
Verify cameras, market reports, transaction data, and location setup.
Identify, resolve, and escalate onboarding issues as needed.
Follow established onboarding processes, timelines, and requirements.
Maintain accurate records and provide timely status updates.
Coordinate with customers and internal teams to resolve onboarding concerns.
Ensure locations are fully prepared and meet all requirements before activation.
Contribute to process improvements to minimize onboarding errors, delays, and inefficiencies.
Excellent verbal and written English skills.
Strong problem-solving, data entry, and communication abilities.
Experience with Google Sheets and data analysis.
Full-time availability (40 hours/week) U.S. Eastern Time.
Competitive hourly rate: USD 2.0/hr.
Be part of an AI‑driven startup focused on innovative loss‑prevention.
Remote work with a global team dedicated to making a real impact in retail security.
Skills Required
- Excellent verbal and written English skills
- Strong problem-solving abilities
- Strong data entry abilities
- Strong communication abilities
- Experience with Google Sheets
- Experience with data analysis
- Full-time availability, 40 hours per week, during U.S. Eastern Time
What We Do
Virtual Loss Prevention Team catching micro markets thieves to get operators their time, money, and sanity back from theft. Our machine learning and computer vision system highlights theft and the most suspicious behavior in your markets.
