Job Opportunities API

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 Owner (Data & AI, Seller & Operations Team)   As a Product Owner (Data & AI, Seller & Operations) you will guide the development of the data platform as a scalable, self-service product to accelerate data democratization initiatives across the organization. You will collaborate closely with Data Engineers to deliver and enhance impactful data products. What you’ll have to do: Design, develop, and drive the long-term strategy for data products to enable easy and efficient access to data;   Create a clear vision and mid-to-long-term roadmap for the Data Product;   Ensure alignment of data products with organizational goals such as customer experience, growth, operational efficiency, and AI readiness;   Act as the liaison between business stakeholders, data engineering, data governance, and analytics teams;   Build scalable, flexible, and user-friendly data models for data consumers (ML engineers, data analysts, product and business owners);   Lead adoption and product understanding initiatives through documentation, training, onboarding, and continuous improvement;   Set KPIs to monitor product performance: adoption & usage, internal NPS, latency, retention, accuracy, data lineage;   Manage product requirements and priorities;   Prioritize initiatives based on impact and required effort;   Make strategic decisions on data product investments;   Play a key role in data democratization and data mesh initiatives;   Promote data-as-a-product and self-service data platform principles;   Contribute to defining standards for governance, data quality, access, and metadata.   What makes you a good fit: 5+ years of experience in Product Management, preferably within data/ technology areas such as data platforms, digital B2B/B2C products, CRM systems, or other tech platforms;   Strong understanding of modern data architectures (lakehouse, pipelines, DBT, HDFS, Iceberg, data catalogs, APIs);   Familiarity with Scrum Agile methodology, ceremonies, and how to leverage them for successful product delivery;   Previous involvement in digital transformation or data platform modernization initiatives;   Experience in environments focused on data democratization, self-service, or data mesh;   Proven ability to collaborate with cross-functional teams: data engineering, analytics, marketing, CRM, BI;   Demonstrated experience translating business needs into technical solutions.    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 & 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 libra