Location : India (remote) Role Overview As a RevOps Lead , you will own both strategy and execution. You’ll be responsible for driving growth, managing projects, coordinating cross-functional teams, and ensuring the success of your vertical. This is a highly autonomous role for someone who thrives in ambiguity, builds from zero, and leads with vision and discipline. Key Responsibilities Project Management: Own and execute projects end-to-end, including planning, resource allocation, milestone tracking, and delivery. Strategic Leadership: Define the vision, roadmap, and KPIs for your vertical; continuously refine strategy based on learnings. Cross-functional Coordination: Work closely with product, operations, engineering, and leadership teams to align goals and ensure delivery. Customer & Market Insight: Understand user needs, gather feedback, and conduct market research to identify opportunities. Operational Excellence: Optimize systems, processes, and workflows within the vertical to maximize efficiency and impact. Reporting & Analysis: Regularly report on progress, challenges, and KPIs to senior leadership. Outreach & Plan Execution: List building, lead generation, using tools and data is on track and/or communicating Ideal Candidate Entrepreneurial mindset with a bias toward action and ownership. 3-5 years of experience in startups, consulting, operations, product management, or a founder/early team member role. Proven experience managing complex projects and/or small teams. Strong analytical, problem-solving, and organizational skills. Strong English writing and communication skills. Excellent communication and stakeholder management. Comfort with ambiguity and ability to learn quickly across domains. US Company experience Strong critical thinking skills What We Offer High ownership and autonomy from day one. High impact role within the organization Collaborative, high-performance culture. Immense growth potential Ready to join a high-impact team and revolutionize retail security? https://jobs.ashbyhq.com/Panoptyc/c4354ff6-fbfb-4a8d-b810-51b1a251337d Let's protect retail together! 🚀 Show more Show less
About Panoptyc At Panoptyc, we're on a mission to revolutionize loss prevention. Using visual AI and manual reviewers, we help retailers detect theft in over 15,000 markets across the United States. From Fortune 500 giants to local businesses, our impact is far-reaching. As a fully remote, rapidly growing team, we're excited to invite top talent worldwide to join us in reshaping the future of retail security. About The Role We're seeking a detail-oriented Investigator to support core operations by reviewing large volumes of grocery store footage and flagging suspicious activity. In this crucial role, you'll be responsible for analyzing transactions, identifying potential incidents, and continuously suggesting improvements to our internal processes. This is a focused operational role ideal for someone who is disciplined, analytical, and thrives in a fast-paced remote environment. Responsibilities Review and analyze video footage from grocery stores to detect potential suspicious behavior Submit clear, concise reports using internal documentation tools Work approximately 8 hours per day processing large volumes of footage with high accuracy Track daily output and maintain organized logs using Google Sheets Communicate daily with team leads to ensure alignment and clarify edge cases Follow established SOPs while actively identifying areas for workflow improvement Maintain strong attention to detail and consistency in identifying reportable incidents Contribute ideas to improve accuracy, efficiency, and data integrity across processes Requirements Based in India or nearby regions and available to work EST hours 5–10 years of experience in operations, quality assurance, or similar roles Proficiency in Google Sheets and online task tracking Excellent communication skills in English (written and verbal) Ability to remain focused during repetitive, detail-heavy tasks Self-motivated, reliable, and able to thrive in a remote setting Tools & Technology Documentation & Reporting: Google Sheets, Internal CMS/Forms Collaboration: Slack, Google Workspace, Notion Bonus Points Prior experience in content moderation, surveillance, or investigative work Experience analyzing security footage or handling evidence for quality control Demonstrated process improvements or SOP suggestions in past roles Familiarity with video management or audit platforms Why Join Panoptyc? Competitive compensation: ₹22,000 – ₹26,000 INR/month (on-target earnings) Full remote work flexibility with a fast-growing, international team High-impact role directly influencing fraud prevention and operational efficiency Opportunities for growth and increased responsibility over time How To Apply Ready to support a high-performing team and help revolutionize retail security? Please submit the following: Your resume detailing relevant experience A short paragraph explaining your interest in this role Confirmation of your current location and ability to work EST hours Let’s protect retail together! 🚀
About the Role Were seeking a detail-oriented Investigator to support core operations by reviewing large volumes of grocery store footage and flagging suspicious activity. In this crucial role, youll be responsible for analyzing transactions, identifying potential incidents, and continuously suggesting improvements to our internal processes. This is a focused operational role ideal for someone who is disciplined, analytical, and thrives in a fast-paced remote environment. Responsibilities Review and analyze video footage from grocery stores to detect potential suspicious behavior Submit clear, concise reports using internal documentation tools Work approximately 8 hours per day processing large volumes of footage with high accuracy Track daily output and maintain organized logs using Google Sheets Communicate daily with team leads to ensure alignment and clarify edge cases Follow established SOPs while actively identifying areas for workflow improvement Maintain strong attention to detail and consistency in identifying reportable incidents Contribute ideas to improve accuracy, efficiency, and data integrity across processes Requirements Based in India or nearby regions and available to work EST hours 5 10 years of experience in operations, quality assurance, or similar roles Proficiency in Google Sheets and online task tracking Excellent communication skills in English (written and verbal) Ability to remain focused during repetitive, detail-heavy tasks Self-motivated, reliable, and able to thrive in a remote setting Tools & Technology Documentation & Reporting: Google Sheets, Internal CMS/Forms Collaboration: Slack, Google Workspace, Notion Bonus Points Prior experience in content moderation, surveillance, or investigative work Experience analyzing security footage or handling evidence for quality control Demonstrated process improvements or SOP suggestions in past roles Familiarity with video management or audit platforms
Location : Remote About Panoptyc At Panoptyc, we're on a mission to revolutionize loss prevention. Using visual AI and manual reviewers, we help retailers detect theft in over 15,000 markets across the United States. From Fortune 500 giants to local businesses, our impact is far-reaching. As a fully remote, rapidly growing team, we're excited to invite top talent worldwide to join us in reshaping the future of retail security. We're looking for a technical trailblazer —a hacker, builder, and visionary leader who can turn bold ideas into working systems. As our Computer Vision Lead (R&D) , you'll lead the charge on building next-gen AI and computer vision products from 0 to 1, managing a lean team of engineers while still getting your hands dirty on high-impact technical work. You’ll prototype quickly, validate in the field, and guide the evolution of our most ambitious products—starting with theft detection in retail environments used by thousands of stores. What You’ll Do Lead and manage a small team of engineers to prototype and productize computer vision and AI systems Personally build and own early-stage proofs-of-concept, rapidly iterating and validating in the real world Define and prioritize the technical R&D roadmap in collaboration with product and business leads Architect scalable systems that transition from lab to production (edge and/or cloud) Vet new models, data architectures, and hardware deployments Be a key thought partner in setting technical direction for entirely new product lines What We’re Looking For 8+ years in engineering roles with deep experience in AI, ML, and computer vision Proven track record of building 0 → 1 products or technical breakthroughs that went to market Strong hands-on skills with ML frameworks (e.g., PyTorch, TensorFlow), video analytics (e.g., OpenCV), and deployment tooling (e.g., ONNX, Triton, containers) Comfortable leading and scaling small engineering teams Hacker energy: fast, creative, scrappy, and resourceful Experience creating data pipelines for and categorizing vast sets of video training data. Bonus: Experience with edge computing, streaming pipelines, or hardware deployment in retail, robotics, or surveillance settings Why This Role? Lead and shape R&D at a company already deployed in 20,000+ stores and catching hundreds of thousands of thefts a year Work with Fortune 500 retailers solving real-world loss prevention with cutting-edge AI Huge ownership: lead products with the potential to become $500M+ businesses Fast-moving, well-resourced team with real traction Fully remote role (globally) Up to $80 USD/hr Ready to build real-world AI that scales? Apply now. Let’s talk.
About Panoptyc At Panoptyc, we're on a mission to revolutionize loss prevention. Using visual AI and manual reviewers, we help retailers detect theft in over 15,000 markets across the United States. From Fortune 500 giants to local businesses, our impact is far-reaching. As a fully remote, rapidly growing team, we're excited to invite top talent worldwide to join us in reshaping the future of retail security. About The Role We are seeking a skilled Hardware Support Engineer to support and expand our growing fleet of field devices including security cameras, camera relays, and POS transaction relays. This role is critical to ensuring reliable operation of our distributed hardware infrastructure and supporting new installations across multiple locations. Core Responsibilities Field Device Management Monitor, maintain, and troubleshoot a large fleet of cameras, camera relays, video displays and POS transaction relay devices Perform remote firmware updates and configuration changes across distributed hardware Diagnose and resolve hardware connectivity, performance, and operational issues Coordinate with field technicians for on-site installations and repairs when remote resolution isn't possible System Administration Managing installations of POSIX/Linux-based embedded systems, AWS IoT, Windows services and field devices Configure and maintain device networking, including USB network interfaces, VPN connections and firewall rules Implement automated monitoring and alerting for device health and performance Maintain device inventory, documentation, and configuration management systems Installation Support Support new location installations by configuring devices pre-deployment Create and maintain installation procedures and technical documentation Provide technical guidance to field installation teams Validate device functionality and network connectivity post-installation Infrastructure Optimization Analyze device performance data to identify optimization opportunities Implement standardized configurations and deployment procedures Develop automation scripts for routine maintenance and monitoring tasks Collaborate with engineering teams on device selection and deployment strategies Required Qualifications Technical Skills 3+ years of POSIX/Linux systems administration experience (Red Hat, Ubuntu, or similar distributions) Experience with firmware management and updates for embedded devices or IoT hardware (Raspberry Pi, Arduino, NUC) Network troubleshooting skills including TCP/IP, routing, VPNs, and firewall configuration Command-line proficiency with bash/shell scripting for automation Experience with remote device management and monitoring tools Hardware Knowledge Knowledge of POS integration and transaction data handling Experience with embedded Linux systems and ARM-based hardware Additional Requirements Strong analytical and problem-solving skills for remote troubleshooting Excellent documentation and communication skills Ability to work independently and manage multiple concurrent issues Experience with ticketing systems and incident management processes Willingness to provide occasional after-hours support for critical issues Preferred Qualifications Administration of applications running on AWS (EC2, S3, IoT, ECS, Fargate, Cloudwatch etc..) 2+ years experience writing and maintaining Python scripts or applications Understanding of IP camera systems and video streaming protocols (RTSP, ONVIF) Experience with configuration management tools (Ansible, Docker, IoT/Greengrass, K8s) Knowledge of video analytics or retail technology systems Experience with database systems for device logging and monitoring Certification in Linux administration (RHCE, LPIC) or network management Previous experience in retail, security, or IoT device management Work Environment Primarily remote work with occasional travel to installation sites Standard business hours with on-call rotation for critical system support Collaborative environment working with field technicians, engineering, and operations teams Fast-paced environment supporting rapid expansion of device deployments Growth Opportunities Lead technical projects for large-scale device deployments Mentor junior technical staff and field technicians Contribute to engineering decisions on hardware selection and architecture Develop expertise in emerging IoT and edge computing technologies Contribute to our Gitops culture by contributing code and our CICD pipelines Why Join Panoptyc? Competitive salary and benefits Be part of a rapidly growing team reshaping retail security Full remote work flexibility with a dynamic, global team Opportunity to work with cutting-edge data tools and technologies Job Details: Full-time status (40 hours per week) Able to work during US Eastern time zone Up to $30 USD/hr Location: Remote
Senior Computer Vision Engineer Panoptyc is seeking an exceptional Senior Computer Vision Engineer to architect and train cutting-edge models for retail object recognition and drive our edge deployment strategy. About The Role You'll be the technical force behind our computer vision capabilities, building and optimizing models that power real-world retail applications. This role demands someone who can move seamlessly from training custom YOLO architectures to deploying optimized models on edge devices, all while pushing the boundaries of what's possible in retail computer vision. What You'll Do Model Development: Design, train, and iterate on custom object detection models specifically tuned for retail environments, inventory tracking, and product recognition Edge Optimization: Take state-of-the-art models and make them blazingly fast for edge deployment through quantization, pruning, and architectural optimization Dataset Engineering: Build robust data pipelines and annotation workflows to continuously improve model performance on diverse retail scenarios Research & Innovation: Stay ahead of the curve on CV research, prototype new architectures, and determine what's actually production-ready versus academic noise Technical Leadership: Mentor engineers, establish best practices for model development, and drive technical decisions around our CV infrastructure LLM Integration: Explore and implement multimodal approaches combining vision and language models for enhanced product understanding and classification Required Experience 5+ years of hands-on computer vision engineering, with a proven track record of shipping models to production Deep expertise with YOLO and YOLO-E architectures - you've trained them, tuned them, and know their quirks intimately Edge deployment mastery - experience with TensorRT, ONNX Runtime, or similar frameworks for optimizing models for constrained devices LLM and LLMOps experience - practical knowledge of large language models, fine-tuning, prompt engineering, and building reliable LLM-powered systems Strong software engineering fundamentals - clean code, version control, CI/CD for ML, and the ability to build maintainable systems Production ML experience - you understand the difference between a Jupyter notebook and a production-grade ML system Preferred Qualifications Experience with retail, inventory management, or similar product-focused CV applications Background with PyTorch and modern training frameworks Familiarity with synthetic data generation and data augmentation techniques Knowledge of model versioning, experiment tracking (MLflow, Weights & Biases, etc.) Publications or open-source contributions in computer vision Experience with AWS solutions like EC2, ECS, Fargate, S3, Bedrock, Sagemaker etc.. Technical Stack While we value expertise over specific tools, you'll likely work with: PyTorch, YOLO variants, TensorRT, ONNX, Docker, Kubernetes, and various MLOps tooling. Location : Remote Compensation : up to $60/hr USD (based on location) Panoptyc is building the future of retail intelligence. If you're ready to tackle hard CV problems at scale, we want to hear from you.