Product Manager (Discovery & Agentic Shopping)
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
Write clear and detailed PRDs for your engineering team
Use behavioral and business data to understand what drives engagement and conversion
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
Stay up to date with research, industry trends and competitor products
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.