Engineering Manager

At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.

Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet.

Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all.

About the team and the role:
Our Recommendations team works on delivering recommendations at scale and in near real time to our buyers on our website and native app platforms. Recommendations are a core part of how our buyers navigate eBay’s vast and varied inventory. Our team develops innovative recommendations systems, including deep learning based retrieval systems for personalized recommendations, GenAI/LLM powered recommendations, as well as sophisticated MLOps in a high volume traffic industrial e-commerce setting.

We are building cutting edge recommender systems powered by the latest ML/AI technologies! Additionally, we are building production integrations with Google GCP Vertex AI platforms to supercharge our item recommendation algorithms. We are looking for a top-tier engineering manager who can supercharge our engineering tech stack, with the business goal of enabling personalized discovery of eBay unique inventory, both for eBay enthusiasts as well as first time visitors.

What you will accomplish:

• Lead and manage a team of engineers in line with our eBay culture

• Grow the careers of team members and collaborate across organizational boundaries

• Deploy big data technology and large scale data pipelines, including billions of items and millions of users

• Contribute to system to personalize live commerce on the eBay platform

• Develop and deploy innovative AI models to production which have direct measurable impact on eBay buyers, working with a global team of applied researchers, product managers, and engineers

• Drive marketplace GMB as well as advertising revenue via organic and sponsored recommendations

What you will bring:

• BS in Computer Science or related area with 8 years of relevant work experience 

• Experience leading an agile engineering team (working in a ML/AI technology environment is a bonus)

• Experience with using cloud services (GCP), big data pipelines (Hadoop, Spark) and databases (key-value stores)

• Experience in production engineering practices and software development in an OO language (Scala, Java, etc.) and high volume traffic webapp development in an industrial setting

• Experience with building personalized recommender systems or other forms of personalization technology is a bonus

Links to some of our previous work:

• Tech Blog 2025

• RecSys 2024 Workshop paper

• Google Cloud Blog 2024

• eBay Tech Blog 2023

• eBay Tech Blog 2022

• RecSys 2021 paper

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eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at [email protected]. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.

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