Panoptyc provides a virtual loss prevention solution for grocery, convenience store, and micro‑market operators, using advanced machine learning and computer vision to detect and highlight theft and suspicious activity in real time. By automating surveillance and analysis, the platform frees store personnel from manual monitoring, saving time, reducing losses, and improving operational sanity. Panoptyc’s AI-driven alerts enable rapid response and evidence collection, helping retailers protect revenue and maintain a safe shopping environment. The company’s industry recognition—including the LPRC Product Protection Summit 2025 and Readers Choice Award 2025—underscores its leadership and innovative approach to retail security.
Open Positions
Computer Vision Engineer - R&D
5+ years CV exp., YOLO & YOLO-E expertise, edge deployment (TensorRT, ONNX), and LLM/LLMOps knowledge. Production ML & strong software skills req. Potential retail/inventory background a plus
Computer Vision Lead (R&D)
8+ yrs in AI/ML. 0-1 product development experience. ML/Video Analytics skills and deployment tooling expertise
Founder’s Office: Growth/Ops
Project management experience. Strong analytical and communication skills. Tech background preferred
Lead Generation Specialist
Self-motivated & detail-oriented with strong research skills. Requires a reliable setup & English communication.
Full Stack Engineer - R&D
Strong Node.js & Postgres skills, DevOps & cloud experience, and full stack capabilities are required. Prototype mindset and API integration experience are essential. AWS experience is a plus
Hardware Support Engineer - Field Device Operations
3+ years POSIX/Linux admin. Experience with firmware updates. Troubleshooting skills
Investigator - Operations
5-10 years of experience in operations, quality assurance, or similar roles, proficiency in Google Sheets, online task tracking, based in India or nearby regions and available to work EST hours
Associate Theft Investigator
Strong attention to detail, analytical skills, and written communication skills
Customer Success Manager
4+ years Customer Success experience, 2+ in mid-level/enterprise. 1+ year managing teams & achieving metrics. Bachelor's degree required
Full Stack Engineer - R&D
Strong Node.js & Postgres skills. DevOps and API integration experience are crucial. Full stack capability and prototype mindset are needed. AWS experience is a plus
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