Product Manager

Pretius

Warszawa

On-site

PLN 180,000 - 280,000

Full time

14 days+
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Benefits offered by this job

Multisport card encashment
Medicover private healthcare
Modern office

Job summary

Pretius is seeking a Product Manager to own the end-to-end lifecycle of ML scoring capabilities for our large-scale e-commerce platform, focusing on Sponsored Offers. You will define vision, problems, and measurable outcomes aligned with business goals, lead discovery and roadmap planning, and balance value with feasibility.

You will partner with Engineering, Data Science, and business stakeholders to deliver scalable ML-enabled products and drive cross-functional collaboration with

Qualifications

  • 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.

Skills

Product strategy
Problem definition
ML-powered products
Business acumen
Product analytics
Stakeholder management
AI-assisted discovery
English B2+
AdTech experience
Experimentation (A/B)
Platform data/ML roadmaps
Monetization knowledge

Tools

SQL

Job description

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.
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