Job
Title: 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. 

Key Responsibilities 

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 

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 
  
• 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 
  
• Risk, Metrics &
  Delivery Excellence 
  
• Identify risks
  related to: 
  
• Model accuracy vs.
  inference performance 
  
• Edge hardware
  constraints 
  
• 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 
  

Basic Qualifications

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 

Strong understanding of: 

• Linux environments 
  
• Camera/sensor‑based
  systems 
  
• Model training vs.
  inference trade‑offs 
  
• Demonstrated ability to
  manage cross‑functional technical programs involving software, hardware,
  and data pipelines 
  
• Strong written and
  verbal communication skills 
  

Preferred Qualifications 

• 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