Senior Product Manager

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SeniorHybryda·WarszawaFull-time

#473844·Dodano dziś·0

Źródło: Allegro Sp. z o.o.

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Tech Stack / Keywords

ML SQL Kubernetes DockerConsulGitHub GitHub ActionsWindowsMacBook ProDell

Podsumowanie oferty

As a Senior Product Manager in the Machine Learning Research team, you will own discovery and delivery for ML-powered capabilities in either Boostlab (ML scoring for Sponsored Offers) or Reco-Research (personalization and discovery in Allegro’s Recommendations platform). You will guide the product lifecycle from problem framing to measurable business outcomes, working with engineering and business stakeholders.

Wymagania

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

Obowiązki

Product management:

Own a core ML-powered product—ML scoring for Sponsored Offers (Boostlab) or personalization and discovery in Recommendations (Reco-Research)—through the full product lifecycle.
Own product discovery and delivery for ML-powered capabilities in partnership with engineering and business stakeholders.
Ensure roadmap priorities maximize value, usability, feasibility, and viability for the product area.
Depending on the team, found new product capabilities from the ground up (Boostlab) or scale and evolve an established platform used across Allegro’s recommendation surfaces (Reco-Research).
Use product management skills such as discovery frameworks, roadmap planning, KPI definition, and backlog prioritization.
Collaborate on cross-functional planning with Engineering, Data Science, and business teams.
Leverage AI-assisted synthesis and hypothesis generation in product workflows.

Benefity

Flexible working hours in the hybrid model (4/1); working hours can start between 7:00 a.m. and 10:00 a.m., with 30 days of occasional remote work.
Long-term discretionary incentive plan based on Allegro.eu shares (restricted stock units).
Annual bonus based on annual performance and company results.
Office equipment and tools, including a 16-inch or 14-inch MacBook Pro or corresponding Dell with Windows, and necessary accessories.
Cafeteria-plan benefits, including medical, sports, or lunch packages, insurance, and purchase vouchers.
Employer-paid English classes related to the specific nature of the job.
Training budget and an internal learning platform with multiple trainings.
Additional day off for volunteering.
Social events for Allegro people.

Elastyczne godziny

Udziały pracownicze

Premie

Parking dla rowerów

Opieka zdrowotna

Karta sportowa

Ubezpieczenie

Kursy językowe

Dofinansowanie szkoleń

Szkolenia wewnętrzne

Spotkania integracyjne

Inne informacje

You will not be required to participate in Incident Response Readiness (Technical Standby Service).
Team assignment will be discussed during the recruitment process based on your background and interests.

Allegro

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