ashby
Engineering Manager: Personalization
Constructor
Remote, GBR
Full-time
Mid · 4+ years experience
Remote
USD 100000-130000 yearly / year
Discovered 2 weeks ago
Python
Free
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Role Overview
As Engineering Manager of the Personalization team, you will lead the group responsible for the machine learning foundation that powers personalization across Constructor’s products, with a particular focus on Search and Browse. The team develops the core intelligence layer that helps us understand shoppers, products, and their interactions, enabling more relevant experiences and measurable business impact for retailers.
This is a highly technical, hands-on leadership role. You will manage Machine Learning Engineers, Backend Engineers, and Data Analysts to develop user representations, embeddings, segmentation systems, offline evaluation frameworks, and experimentation methodologies that drive revenue growth through continuous iteration and A/B testing.
Success in this role is measured by your team’s ability to deliver meaningful retailer KPI improvements, scale our personalization capabilities, and advance the state of the art of ecommerce machine learning in production.
The Personalization team sits at the center of Constructor’s ML strategy, building capabilities that are leveraged across all products rather than owning a single customer-facing feature
Key Skills for This Role
Python
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About Us
Launched in 2019, Constructor is an AI-first ecommerce search and discovery platform that helps shoppers find the right products at the right time and enables leading global e-commerce brands to drive meaningful revenue and conversion gains.
About The Role
As Engineering Manager of the Personalization team, you will lead the group responsible for the machine learning foundation that powers personalization across Constructor’s products, with a particular focus on Search and Browse. The team develops the core intelligence layer that helps us understand shoppers, products, and their interactions, enabling more relevant experiences and measurable business impact for retailers.
This is a highly technical, hands-on leadership role. You will manage Machine Learning Engineers, Backend Engineers, and Data Analysts to develop user representations, embeddings, segmentation systems, offline evaluation frameworks, and experimentation methodologies that drive revenue growth through continuous iteration and A/B testing.
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