Product Manager
Summary
Owns the product lifecycle for ML-powered scoring features in a large e-commerce platform, defining vision, prioritizing initiatives, and collaborating with engineering and data science teams.
At Pretius we are looking for a Product Manager to a large-scale e-commerce platform development.
Project / Role
Own the end-to-end product lifecycle for ML scoring capabilities supporting Sponsored Offers.
Define product vision, problem statements and measurable outcomes aligned with business objectives.
Lead product discovery and roadmap planning, balancing business value, user needs and technical feasibility.
Prioritize initiatives based on KPIs, experimentation results and business impact.
Partner with Engineering, Data Science and business stakeholders to deliver scalable ML-enabled products.
Drive cross-functional collaboration, communicate product strategy to senior stakeholders and ensure transparency throughout delivery.
Use AI-assisted product discovery and synthesis techniques to accelerate decision-making and improve product outcomes.
Requirements
Proven experience managing digital products and delivering medium-term product strategies (6–12 months).
Strong ability to define customer problems, product vision and measurable business outcomes.
Practical understanding of Machine Learning-powered products and collaboration between Product, Data Science and Engineering teams.
Strong business acumen with experience prioritizing initiatives using KPIs in e-commerce, advertising or marketplace environments.
Experience working with product analytics, including SQL literacy, experiment interpretation and product metric design.
Excellent stakeholder management and communication skills, with experience collaborating across technical and business teams, including Director-level stakeholders.
Experience using AI-assisted tools to improve product discovery, prioritization and decision-making.
English level B2+.
Nice to have
Experience in AdTech, ranking or recommendation products.
Experience working with experimentation platforms and A/B testing.
Experience collaborating with platform teams on data or ML capability roadmaps.
Understanding of auction-based monetization models and related product trade-offs.
What do we offer?
We focus on long-term relationships based on fair principles and reliability.
Co-financing of the Multisport card and Medicover private healthcare.
Modern office available.
Team bonding activities, internal courses, conferences, certifications.