Engineering Manager - etsy

Polluxa, Inc.; New York (NY); Hybrid; USD 140,000 - 210,000; Full time

Benefits offered by this job

Equity package

Annual performance bonus

Competitive benefits

Job summary

Etsy is seeking an Engineering Manager to lead the Recommendations Retrieval team. You will guide a group of engineers and applied scientists in building and operating core retrieval systems that deliver high-quality, personalized candidates for Etsy's recommendations across the homepage and surface pages.

You will supervise scaling of candidate generation, modernize the retrieval stack, and integrate machine learning to improve personalization at scale.

Qualifications

• Lead a talented group of engineers and applied scientists responsible for building and operating systems that generate high-quality, personalized candidates for Etsy's recommendation models.
• Own the core retrieval algorithms that power Etsy's recommendation surfaces across homepage, listing pages, cart, and beyond.
• Guide the team through scaling candidate generation systems, modernizing the retrieval stack, and ML integration for personalization at scale.

Responsibilities

• Build and operate the retrieval systems that produce personalized candidates for Etsy's recommendation models.
• Lead the Recommendations Retrieval team and shape the foundation of Etsy's customer experience across surfaces.
• Collaborate with engineers and data scientists, report to the Director of Engineering, Recommendations, and contribute to total rewards including equity and bonus.

Job description

Company Description Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect millions of entrepreneurs with millions of buyers around the world. As an Etsy Inc. employee , whether a team member of Etsy or Depop, you will tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and Keeping Commerce Human.

What's the role?

We are looking for an Engineering Manager to lead the Recommendations Retrieval team at Etsy. This team owns the core retrieval algorithms that power Etsy's recommendation surfaces, helping buyers discover unique items they'll love across the homepage, listing pages, cart, and beyond. As we invest in next-generation retrieval capabilities, you'll guide the team through scaling our candidate generation systems, modernizing our retrieval stack, and integrating machine learning to improve personalization and relevance at scale.

You will lead a talented group of engineers and applied scientists responsible for building and operating the systems that generate high-quality, personalized candidates for Etsy's recommendation models. This is a high-impact opportunity to shape the foundation of how Etsy connects buyers with the items and sellers they'll love most.

This is a full-time position reporting to the Director of Engineering, Recommendations. In addition to salary, you will also be eligible for an equity package, an annual performance bonus, and our competitive benefits that support you and your family as part of your total rewards package at Etsy.

For this role, we are considering candidates based in the United States. Candidates living within commutable distance of Etsy's Brooklyn Office Hub may be the first to be considered. For candidates within commutable distance, Etsy requires in-office attendance once or twice per week depending on your proximity to the office. Etsy offers different work modes to meet the variety of needs and preferences of our team. Learn more details about our work modes and workplace safety policies here .

What's this team like at Etsy?

The Recommendations Retrieval team sits within the Recommendations organization and provides the foundational retrieval layer that powers Etsy's recommendation experiences across the marketplace. Our mission is to build fast, scalable, and intelligent candidate generation systems that surface the most relevant and personalized items for every buyer at global scale.

This team is responsible for:

Building personalized discovery experiences by owning the candidate generation and retrieval systems that power Etsy's homepage feed, listing-page recommendations, and cross-sell surfaces, with a deep focus on understanding individual buyer intent and taste.