Head of Technical Programme Management

Technical Program Manager
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.
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

Technical Program Leadership (Computer Vision Focus)
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 SageMaker are production-ready and aligned to delivery timelines

Edge & Industrial Integration
APIs and backend platform services
Coordinate validation in industrial or field environments, managing constraints like latency, hardware limitations, and environmental variability

Risk, Metrics & Delivery Excellence
Identify risks related to: inference performance
Data quality, sensor reliability, and real-time processing
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

Communication & Stakeholder Management
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
Translate engineer-level detail into executive-level updates
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
• Linux environments Camera/sensor-based systems Model training vs. 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 SageMaker workflows for model training and tuning
Exposure to industrial systems, PLC-integrated environments, or real-time streaming architectures
Experience delivering systems that integrate ML outputs into APIs, dashboards, or operational UIs