Senior Product Manager

Allegro

Polska

Hybrid

PLN 420,000 - 540,000

Full time

42 hours ago
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Benefits offered by this job

Hybrid working hours (4/1)
30 days occasional remote work
Annual bonus based on performance
Well-located offices and modern tools
MacBook Pro / Dell setups and gear
Cafeteria fringe benefits program
Paid English classes
Training budget and internal learning
Volunteer day

Job summary

Allegro Ltd. is seeking a Senior Product Manager for the Machine Learning Research team (Reco-Research) focused on personalization and discovery within Allegro's Recommendations platform.

The role centers on moving from problem framing to measurable business outcomes, with a temporary replacement contract of approximately 1.5 years, based in Warsaw. You will own ML-powered scoring for Recommendations, drive product discovery with engineering and business stakeholders, and define roadmaps that

Qualifications

  • Proven product management experience in digital products with ownership of medium-term objectives (6-12 months).
  • Ability to define clear problem statements and measurable product outcomes, not only delivery outputs.
  • Practical understanding of ML-enabled products and ability to cooperate with Data Science and Engineering teams.
  • Strong business acumen with KPI-driven prioritization in e-commerce, advertising, or marketplace environments.
  • Excellent stakeholder management and communication 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.

Responsibilities

  • Own a core ML-powered product - scoring for Recommendations through the full product lifecycle.
  • Lead discovery and delivery for ML-powered capabilities with engineering and business stakeholders.
  • Ensure roadmap priorities maximize value, usability, feasibility, and viability for your product area.
  • Scale and evolve an established platform across Allegro's recommendation surfaces.
  • Collaborate on cross-functional planning with Engineering, Data Science, and business teams.
  • Leverage AI-assisted synthesis and hypothesis generation in product workflows.

Skills

Product management
ML product
KPI definition
Backlog prioritization
Stakeholder management
SQL literacy
Analytics
Cross-functional collaboration
English B2
Polish C1

Tools

Kubernetes
Docker
Consul
GitHub
GitHub Actions

Job description

We are looking for a Senior Product Manager to join our Machine Learning Research team - 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. This is an offer for a temporary replacement contract lasting approximately 1.5 years. 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.

  • Owning a core ML-powered product - scoring for 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.
  • 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).
This is the right job for you if:
  • 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 and Polish C1
  • 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.
  • A wide selection of fringe benefits in a cafeteria plan - you choose what you like (e.g., medical, sports or lunch packages, insurance, purchase vouchers).
  • English classes that we pay for related to the specific nature of your job.
  • A training budget, inter-team tourism ( more here ), hackathons, and an internal learning platform where you will find multiple trainings.
  • An additional day off for volunteering, which you can use alone, with a team, or with a larger group of people connected by a common goal.
  • Social events for Allegro people - Spin Kilometers, Family Day, Fat Thursday, Advent of Code, and many other occasions we enjoy.

And that's just the beginning! You can read more about the benefits here . #goodtobehere means that:

  • You will join a team you can count on - we work with top-class specialists who have sharing knowledge and experience in their DNA.
  • You will love our level of autonomy in team organization, the space for continuous development, and the opportunity to try new things. You get to choose which technology solves the problem and you are responsible for what you create.
  • You will value our Developer Experience and the full platform of tools and technologies that make creating software easier. We rely on an internal ecosystem based on self-service and widely used tools such as Kubernetes, Docker, Consul, GitHub, and GitHub Actions. Thanks to this, you can contribute to Allegro from your very first days on the job.
  • You will be equipped with modern AI tools to automate repetitive tasks, allowing you to focus on developing new services and refining existing ones (also leveraging AI support).
  • You will create solutions that will be used (and loved!) by your friends, family and millions of our customers.
  • You will meet the Allegro Scale, which starts with over 1000 microservices, an open-source data bus (Hermes) with 300K+ rps, a Service Mesh with 1M+ rps, tens of petabytes of data, and production-used machine learning.
  • You will become part of Allegro Tech - We speak at industry conferences, cooperate with tech communities, run our own blog (it's been over 10 years!), record podcasts, lead guilds, and we organize our own internal conference - the Allegro Tech Meeting. We create solutions we love (and can) to talk about!
Don't wait until you join us! Let's meet online!

Get to know our team, take a peek at our office life and check out what else we do at Allegro.

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