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Percepta

Cloud-based video analytics for shoplifting detection

IT Automation Engineer

System AdministrationPosted on Nov 13
Full-timeNew York, NY, USA

About the Job

Requirements

  • At least 3 years of experience in IT.
  • Experience building automations that people use, whether at work, in an internal tools role, or through serious personal projects.
  • Familiarity with Okta, single sign-on (SSO), or System for Cross-domain Identity Management (SCIM).
  • Experience with Apple or Windows device management (MDM).
  • Ability to build with AI tools, verify their output, test it, and recognize when human review is needed.
  • Good security judgment, especially around access control and privileged actions.
  • Willingness to support employees and work with physical workplace technology, including devices, networking, and audiovisual systems.

Responsibilities

  • Improve employee lifecycle automation for onboarding, offboarding, and role changes across Okta, Serval, and the SaaS stack.
  • Expand Serval self-service, access requests, and automated troubleshooting.
  • Build AI-enabled workflows that triage requests, gather context, and execute approved resolutions.
  • Identify recurring problems, propose solutions, and measure results such as fewer repetitive tickets, less manual intervention, faster provisioning, and more reliable automations.
  • Take increasing ownership of automation systems over time, including workflow development, integrations, reliability, and documentation.

Desired Qualifications

  • Experience with Serval or similar workflow and service automation platforms.
  • Scripting, application programming interfaces (APIs), and debugging fundamentals, using Python or a similar language.
  • Experience with human resources information system (HRIS) APIs.
  • Familiarity with Terraform, Git, or AWS.
  • Experience evaluating AI agents or setting up automated workflow tests.

About the Company

Percepta

Cloud-based video analytics for shoplifting detection

Percepta Labs builds cloud-based video analytics for retail loss prevention. It ingests retailers’ existing security camera feeds and uses action recognition and pose estimation to identify behaviors that could indicate shoplifting in real time, then assigns a probability that a theft is happening. The system emphasizes ethical AI by anonymizing demographic features (race, gender, age) to avoid bias and protect privacy. The product is sold to retailers to help reduce shrinkage and improve margins, with early testing claiming higher accuracy than human loss-prevention staff. Percepta’s growth has been supported by a major investment from ADT Commercial, which acquired the company and appointed its co-founder as ADT’s first Director of Artificial Intelligence. The company’s goal is to provide scalable, privacy-conscious video analytics that help retailers prevent theft more efficiently and cost-effectively.

Company size
1-10
Company stage
Seed
Total funding
$1M
Headquarters
New York City, New York
Founded
2019

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