Product Manager - Search

Our requirements

• Independence & True Ownership: A highly autonomous approach to work. While you will be part of a highly supportive team that has your back, we expect you to treat this product and team as your own domain. We take ownership seriously and are looking for proactive individuals who thrive with a high level of autonomy.
• Data Proficiency & Evaluation Skills: The ability to independently acquire, query, and work with data to draw valuable insights and drive product decisions. This includes strong skills in defining, monitoring, and rigorously reviewing metrics, combined with a deep understanding of the difference between input measures (e.g., model quality) and output measures (e.g., business conversion).
• DS/ML Background: Previous experience or a strong interest in Data Science, Data Analytics, or Machine Learning is highly welcomed.
• Product Management Experience: Proven experience as a Product Manager or in a similar role within highly scalable, technical, or algorithmic environments.
• Technical & Analytical Mindset: A strong understanding of core search engine architecture, optimization algorithms, and Artificial Intelligence (AI) solutions.
• Strategic Roadmap Planning: Experience in building delivery plans for at least one quarter and a long-term product vision, mapping out increments based on algorithmic and infrastructural improvements.
• Problem-Solving Frameworks: A sharp ability to discover real user and merchant problems, maintaining a clear distinction between the "problem space" and the "solution space".
• Resilience & Communication Under Pressure: Excellent interpersonal skills to balance competing priorities, defend product decisions with hard data, and clearly explain complex technical concepts to diverse stakeholders.
• Language Skills: English at a minimum B2 level.

Your responsibilities

• Product Vision and Strategy (Search): Setting the direction for organic search results, while clearly articulating the business value behind new AI tools and optimization algorithms.
• Core Search, Relevance, and Query Understanding: Collaborating closely with technical teams to directly impact the architecture, stability, search relevance, and deep understanding of user intent.
• Stakeholder Management Under Pressure: Working daily across multiple departments (engineering, marketing, recommendations) to manage expectations and balance priorities in a high-scale, dynamic environment.
• Customer Insights & Roadmap Planning: Translating the needs of internal clients and external users into technical requirements, and prioritizing the backlog to ensure continuous, 24/7 platform growth.
• Cross-functional Integration & KPIs: Defining success metrics for the search engine, tracking performance, driving continuous optimization, and securing smooth launches with technical leaders.

About the project

#goodtobehere means that:

• You will join a team you can count on - we work with top-class specialists who have knowledge- and experience-sharing 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!.

What we offer

• Flexible working hours in the hybrid model (4/1) - working hours 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 (see 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.

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