Product Manager

4 tygodni temu


Warszawa, Mazovia, Polska Allegro Pełny etat
Product Manager - AI Innovations

Allegro is seeking a Product Manager to lead our interdisciplinary team of Localization, Data Platform, and Machine Learning experts. As a Product Manager, you will be responsible for shaping the future of translation and leveraging the latest AI innovations to drive business value from Allegro's international operations.

Main Responsibilities:

  • Ensure high-quality, on-time translations across multiple markets and languages
  • Gather, monitor, and report KPIs (quality, cost, time) of translation services
  • Discover and analyze translation client needs
  • Orchestrate team resources allocation based on current priorities and ROI
  • Identify and implement translation process improvements
  • End-to-end ownership of new integrations and features of translations platform (requirements, mockups, reviews, deployment, feedback)
  • Manage content types prioritization to calibrate SLA
  • Collect necessary data across departments to make informed product decisions

Why work at Allegro:

  • As a Product Manager, you will join the larger leadership community at Allegro and influence business planning with senior executives
  • Become the subject matter expert for implementations of AI at Allegro

What we offer:

  • Well-located office and excellent working tools
  • Annual bonus of up to 10% of the gross annual salary
  • Long-term discretionary incentive plan based on Allegro.eu shares
  • A wide selection of fringe benefits in a cafeteria plan
  • English classes related to the specific nature of your job
  • MacBook Pro with Apple Silicon processor and other gadgets that you may need
  • Supportive team of top-class specialists
  • High degree of autonomy in organizing work
  • Hackathons, team tourism, training budget, and an internal educational platform

We look for candidates who:

  • Have experience in defining/executing product vision and managing roadmaps
  • Can balance strategic product ownership with day-to-day operations
  • Can communicate effectively with various stakeholders
  • Have a track record of delivered AI-based products with measurable business impact
  • Can work across disciplines with product, engineering, and research
  • Resolve conflict and stack rank priorities from multiple stakeholders
  • Understand technical concepts, manage trade-offs, and evaluate new ideas
  • Can solve problems, meet deadlines, and maintain high attention to detail
  • Can use data and metrics to support decisions and drive actions
  • Can designate KPIs and objectives
  • Ask accurate and relevant questions

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