Machine Learning Product Owner

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

Machine Learning Product Owner (Data&AI, Machine Learning Team)
As a Machine Learning Product Owner in the Data&AI department, you'll play a key role in shaping and delivering innovative machine learning solutions that drive our business. Acting as a link between technical teams and business stakeholders, you'll ensure our machine learning projects align with company goals, create real value, and stay ahead in a fast-paced environment. Whether it's personalized recommendations or sales forecasting, your work will make sure our machine learning models are effective, impactful, and ready to scale.

What you'll have to do:

• Define and prioritize the machine learning product roadmap, ensuring alignment with business goals and user needs.
• Work closely with cross-functional teams, including Engineering, and Product, to translate business requirements into actionable machine learning solutions.
• Identify opportunities for machine learning applications across the business, from recommendations and personalization to forecasting and optimization.
• Manage the lifecycle of machine learning products, from ideation and development to deployment and monitoring.
• Communicate product vision, progress, and results to both technical teams and key stakeholders, ensuring alignment and transparency.
• Collaborate with technical teams to establish clear requirements for model training, testing, and deployment pipelines.
• Monitor performance metrics, user feedback, and business impact to refine machine learning products over time.

What makes you a good fit:

• Have a degree in a related field (Business, Computer Science, Data Science, or equivalent).
• In-depth knowledge of Scrum and Agile Software Development Methodology
• Have a basic understanding of machine learning concepts and SQL, and how they apply to solving business problems.
• Demonstrate experience in product management or ownership, ideally in data-driven or AI-focused projects.
• Have excellent communication skills, able to simplify complex technical ideas for business stakeholders and help technical teams understand business priorities.
• Possess strong analytical and problem-solving skills, with a focus on making data-driven decisions.
• Be skilled at managing multiple projects and priorities, balancing short-term needs with long-term goals.
• Be familiar with the general workflow of machine learning projects and tools, even if not hands-on (cloud ML platforms).
• Understand how data pipelines and architecture work to ensure smooth integration of machine learning products.
• Be collaborative, thriving in a team environment where alignment and cooperation are key to success.

What we've prepared for you:

• Medical subscription: Medicover, MedLife 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, Tazz, Therme & 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 curated online resources and platforms, learning academies and development programs.
• A friendly office. We redesigned our headquarter office to suit our hybrid work model: we doubled the number of meeting rooms and we equipped them with state-of-the-art technology.

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.