2 days ago
Sr Technical Program Manager, Amazon Visual Experience
US, WA, Seattle
We are building the future using AI to curate product images and seek a Senior Technical Program Manager to spearhead our mission of delivering the highest quality product images to customers worldwide. You'll lead the development and implementation of next-generation systems that process, analyze, and optimize billions of product images through advanced machine learning and computer vision capabilities.
Key job responsibilities
As a Senior TPM, you'll collaborate with Applied Scientists to implement state of the art ML models, work with Software Development Engineers to build scalable infrastructure, and partner with business teams to define and enforce image quality rules across different product categories and regions. You'll be at the forefront of solving complex technical challenges, such as processing billions of images daily, maintaining sub-second latency requirements, and ensuring system reliability at massive scale.
A day in the life
You'll start your day reviewing system health metrics and coordinating with global teams on image processing pipeline updates. Throughout the day, you'll lead architecture reviews for ML-based image classification systems, collaborate with Applied Scientists on model deployment strategies, and work with SDEs to optimize our distributed computing infrastructure. You'll analyze A/B test results to measure customer impact, meet with business stakeholders to align technical roadmaps with business goals, and drive technical decisions that affect billions of product images. Every day brings new challenges in scaling our AI-powered image selection systems while maintaining sub-second performance across Amazon's global marketplace.
About the team
Our team owns the critical infrastructure that powers image quality assessment, attribute extraction, and intelligent selection across Amazon's global marketplace. You'll be responsible for driving programs that implement our four-step methodology (Rules->Detection->Action->Effectiveness) to ensure every product image meets quality and compliance standards. This includes managing automated systems that analyze image attributes, make real-time decisions on image selection, and continuously measure the impact on customer experience.
Key job responsibilities
As a Senior TPM, you'll collaborate with Applied Scientists to implement state of the art ML models, work with Software Development Engineers to build scalable infrastructure, and partner with business teams to define and enforce image quality rules across different product categories and regions. You'll be at the forefront of solving complex technical challenges, such as processing billions of images daily, maintaining sub-second latency requirements, and ensuring system reliability at massive scale.
A day in the life
You'll start your day reviewing system health metrics and coordinating with global teams on image processing pipeline updates. Throughout the day, you'll lead architecture reviews for ML-based image classification systems, collaborate with Applied Scientists on model deployment strategies, and work with SDEs to optimize our distributed computing infrastructure. You'll analyze A/B test results to measure customer impact, meet with business stakeholders to align technical roadmaps with business goals, and drive technical decisions that affect billions of product images. Every day brings new challenges in scaling our AI-powered image selection systems while maintaining sub-second performance across Amazon's global marketplace.
About the team
Our team owns the critical infrastructure that powers image quality assessment, attribute extraction, and intelligent selection across Amazon's global marketplace. You'll be responsible for driving programs that implement our four-step methodology (Rules->Detection->Action->Effectiveness) to ensure every product image meets quality and compliance standards. This includes managing automated systems that analyze image attributes, make real-time decisions on image selection, and continuously measure the impact on customer experience.