Technical Lead for Personalization Systems at Amazon

2 days ago


Newark, New Jersey, United States Amazon Full time
Job Description:
Ambitious Technical Lead sought to spearhead the development of cutting-edge personalization systems at Amazon. As a seasoned Director, Software Development, you will lead a high-performing team building innovative recommendation experiences across Audible's platforms.

About This Role:
This position requires a leader with strong technical acumen in machine learning systems, proven people management experience, and the ability to drive technical strategy while delivering customer-focused solutions.

About The Team:
The Personalization team aims to empower customers by transforming their interactions into meaningful insights. We develop scalable frameworks and systems that enable personalized recommendations across our platforms, working with cutting-edge ML technologies and large-scale distributed systems to process billions of content interactions and deliver real-time personalized experiences.

About You:
You are a strategic technical leader who thrives on solving complex problems at scale. With deep experience building and leading engineering teams, you have a strong foundation in recommendation systems and distributed computing. You're passionate about developing talent and creating an inclusive culture that drives innovation.

Key Responsibilities:
- Lead and grow a team of ML/software engineers building personalization and recommendation systems, providing technical mentorship and career development while fostering an inclusive environment.
- Own the technical strategy and roadmap for personalization systems powering discovery experiences across Audible platforms.
- Drive architectural decisions and technical excellence in building scalable recommendation pipelines and frameworks.
- Partner with product, science, and platform teams to define and execute on personalization initiatives.

Requirements:
- 7+ years of software engineering experience with 3+ years of people management experience.
- Experience building and operating large-scale ML/recommendation systems in production.
- Technical background in distributed systems, data processing, and ML infrastructure.
- Track record of delivering complex technical projects through effective team leadership.

Estimated Salary:$180,000 - $250,000 per annum.

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