Technical Program Manager

Exton, United States | Posted on 04/07/2026

The Technical Program Manager is not expected to code models, but must have sufficient technical depth to drive execution, manage trade‑offs, and unblock teams working on Linux‑based vision systems, sensors, PLC‑integrated environments, and real‑time data pipelines.

• Program Ownership & Execution
• Own end‑to‑end delivery of computer vision programs, from requirements definition through edge deployment and production rollout
• Break down complex CV initiatives (model training, fine‑tuning, inference optimization, edge rollout) into clear milestones, timelines, and dependencies
• Manage cross‑team dependencies across ML, embedded/edge, hardware, industrial systems, and UI/API teams

• Partner with Computer Vision Engineers building YOLO/CNN‑based models to align on execution plans, performance targets, and deployment readiness
• Drive coordination across teams deploying models on Raspberry Pi, Jetson Nano, CPU/GPU edge platforms
• Manage programs involving Linux systems, sensors, industrial cameras, PLC‑connected devices, and real‑time data streams
• Ensure model training and tuning workflows using Amazon Sage Maker are production‑ready and aligned to delivery timelines
• Drive programs that integrate vision outputs into:
  • Dashboards and operational tools
  • APIs and backend platform services
  • UI and downstream consuming teams
• Coordinate validation in industrial or field environments, managing constraints like latency, hardware limitations, and environmental variability

• Identify risks related to:
  • Edge hardware constraints
• Define and track program metrics such as model readiness, deployment success rates, latency targets, and operational stability
• Escalate issues early and drive data‑based trade‑off decisions

• Communicate program status, risks, and decisions clearly to senior technical and business stakeholders
• Serve as the single‑threaded owner for Computer Vision programs across multiple teams

• 3–5+ years of experience in technical program management or systems program management
• Experience working with computer vision, ML systems, edge computing, or embedded systems teams

• Demonstrated ability to manage cross‑functional technical programs involving software, hardware, and data pipelines

• Experience with edge AI deployments (Jetson, embedded GPUs, industrial edge devices)
• Familiarity with Amazon Sage Maker workflows for model training and tuning
• Experience delivering systems that integrate ML outputs into APIs, dashboards, or operational UIs