Product Manager (Discovery & Agentic Shopping)
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Before you apply
LocationHeadquarters eMAG Group, Bucharest, Romania
Work modehybrid
Typefull-time
SenioritySenior
Experience4+ yrs
DepartmentProduct - Discovery & Innovation
Company size5,001–10,000 people
PostedOct 28, 2026 · 1w ago
Verified live5h ago
At a glanceSummarised by Seekless from the posting.
A degree in Computer Science or a related technical field, or an equivalent technical background
An understanding of or experience with how recommender systems and machine-learning models work
4+ years of Product Management experience, ideally on a data or machine-learning product
Experience with A/B testing, and comfort working with data
Clear communication and the ability to work across engineering, data science, design and product
Understanding of Agile methodologies like Kanban and experience working with cross-functional Agile teams
An innovative mindset, focused on building and experimenting to solve user pain points and enhance their experience
An appetite for growth, being challenged and learning new things every day
A proactive and constructive approach to problems
Familiarity with e-commerce platforms and business metrics
Experience with e-commerce recommendations, search or personalization
Experience with productizing machine learning algorithms or LLM agents
Skills
recommender systems
machine learning
A/B testing
Agile
Kanban
e-commerce
LLM agents
Benefits
Health insurance
Meal tickets
Holiday tickets
Cultural vouchers
Private pension
Language classes
Discounts
Book library
Mental health support
Learning resources
Hybrid work
About the company
We’re always looking for the ones truly passionate about their work. If you are amongst them, you can rest assured there is a place for you in eMAG. We’ve grown very fast and are determined to keep doing so. What brought us here is our desire for continuous evolution and practical results.
More than 6000 colleagues are part of eMAG Teams. We strongly believe in people’s development and therefore every year we invest more and more energy and resources to remain an organization that is constantly learning. We want to ensure that you’ll have the most talented colleagues and the proper environment to grow and achieve great results, to become what you desire on a personal and professional level. Join us, grow faster!
Product Manager (Discovery & Agentic Shopping)
Recommendations help millions of eMAG shoppers discover products they want. As part of this role, you will own eMAG’s product recommendations system. You will work closely with Engineering and Data Science to productize new technologies and build new features that help drive user engagement and satisfaction and increase conversion. You will own the homepage feed experience and outcomes and you will collaborate with and support other Product Managers and their teams to integrate recommendations on their owned surfaces like product pages, favorites and shopping cart.
What you’ll have to do:
•
Understand and contribute to the vision and strategy of your product and distill it into a shippable roadmap
•
Own the recommendations system and its roadmap, from day-to-day operation to new capabilities
•
Partner with Data Science and Engineering to bring new algorithms and features into production
•
Run A/B tests where you’ll form hypotheses, design experiments and analyze the results
•
Define KPIs and make sure tracking is in place before launch
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Write clear and detailed PRDs for your engineering team
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Use behavioral and business data to understand what drives engagement and conversion
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Work with the product teams across eMAG that use recommendations in their experiences so you understand their needs and advise on how to better integrate
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Stay up to date with research, industry trends and competitor products
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Find and implement opportunities to turn the recommendations system into a self-service platform so that other teams can easily integrate it
What makes you a good fit:
•
A degree in Computer Science or a related technical field, or an equivalent technical background
•
An understanding of or experience with how recommender systems and machine-learning models work
•
4+ years of Product Management experience, ideally on a data or machine-learning product
•
Experience with A/B testing, and comfort working with data
•
Clear communication and the ability to work across engineering, data science, design and product
•
Understanding of Agile methodologies like Kanban and experience working with cross-functional Agile teams
•
An innovative mindset, focused on building and experimenting to solve user pain points and enhance their experience
•
An appetite for growth, being challenged and learning new things every day
•
A proactive and constructive approach to problems
What makes you stand out:
•
Familiarity with e-commerce platforms and business metrics
•
Experience with e-commerce recommendations, search or personalization
•
Experience with productizing machine learning algorithms or LLM agents
What we’ve prepared for you:
•
Medical subscription: Medicover or Regina Maria.
•
A flexible budget that you can invest in yourself as you wish: meal tickets, holiday tickets, cultural vouchers, private pension, foreign language classes, eMAG, Fashion Days, Therme and Genius, membership to different gyms or even professional development classes.
•
Different discounts from our partners: banking, mobile, dental medicine or wellness.
•
Access to the Bookster library and free credits on the Hilio psycho-emotional health platform.
•
An accelerated learning environment, with access to over 100.000 curated online resources and platforms, learning academies and development programs.
•
New headquarters, where sleek design, natural light, and versatile spaces create an energizing and comfortable environment for hybrid work.
Hiring process
Curious to find out more about the next step in your career? Apply now and if your experience is relevant for the role you wish, we will give you a call for more details! Also, here you can find our confidentiality policy if you want to consult it.