Senior Product Manager

About the project

We are looking for two Senior Product Managers to join our Machine Learning Research team — one supporting Boostlab (ML scoring for the Sponsored Offers product area) and one supporting Reco-Research (personalization and discovery within Allegro's Recommendations platform). In this role, you will focus on moving from problem framing to measurable business outcomes. The preferred location for this role is Warsaw. You will work closely with engineering and business stakeholders to own product discovery and delivery for ML-powered capabilities. Team assignment will be discussed during the recruitment process based on your background and interests.

Your responsibilities

• Owning a core ML-powered product — either ML scoring for Sponsored Offers (Boostlab) or personalization and discovery in Recommendations (Reco-Research) — through the full product lifecycle.
• Owning product discovery and delivery for ML-powered capabilities in close partnership with engineering and business stakeholders.
• Ensuring roadmap priorities maximize value, usability, feasibility, and viability for your product area.
• Depending on the team, this may mean founding new product capabilities from the ground up (Boostlab) or scaling and evolving an established platform used across Allegro's recommendation surfaces (Reco-Research).
• Utilizing product management skills such as discovery frameworks, roadmap planning, KPI definition, and backlog prioritization.
• Collaborating on cross-functional planning with Engineering, Data Science, and business teams.
• Leveraging AI-assisted synthesis and hypothesis generation in product workflows.
• You will not be required to participate in Incident Response Readiness (Technical Standby Service).

Our requirements

• You have proven product management experience in digital products with ownership of medium-term objectives (6-12 months).
• You know English at least at a B2 level.
• You have the ability to define clear problem statements and measurable product outcomes, not only delivery outputs.
• You possess a practical understanding of ML-enabled products and the ability to cooperate effectively with Data Science and Engineering teams.
• You have strong business acumen and experience with KPI-driven prioritization in e-commerce, advertising, or marketplace environments.
• You have excellent stakeholder management and communication skills with Director-level and cross-functional teams.
• You have the ability to use AI-assisted discovery and synthesis methods to improve product decision quality.
• You have strong analytics skills, including SQL literacy, experiment interpretation, and metric design for product outcomes.

What we offer

• Flexible working hours in the hybrid model (4/1) - our hours can start between 7:00 a.m. and 10:00 a.m. We also have 30 days of occasional remote work.
• Long term discretionary incentive plan based on Allegro.eu shares (restricted stock units).
• Annual bonus based on your annual performance and company results.
• Well-located offices (with e.g. fully equipped kitchens, bicycle parking, terraces full of greenery) and excellent work tools (e.g., raised desks, ergonomic chairs, interactive conference rooms).
• A 16" or 14" MacBook Pro or corresponding Dell with Windows (if you don't like Macs) and all the necessary accessories.

Benefits

• sharing the costs of sports activities
• private medical care
• sharing the costs of foreign language classes
• sharing the costs of professional training & courses
• life insurance
• flexible working time
• integration events
• no dress code
• leisure zone
• extra social benefits