Technical Program Manager

Technical Program Manager

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 (Typical for L5 TPM – CV 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 

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 integra