About the job

As a Machine Learning Manager, you will lead a team delivering machine learning solutions that create tangible business value. You will connect technical execution with product strategy, ensuring the team’s work aligns with the product roadmap, KPIs and real user needs. Acting as a trusted partner to product stakeholders, you will balance delivery, risk management and budgeting while shaping the product domain and supporting broader organizational initiatives. This role combines people leadership, technical understanding and product thinking - with room to step into product responsibilities when needed.

Main responsibilities

• Lead and grow a team of Data Scientists and Product Analysts, fostering a high-performing, and collaborative environment.

• Set technical direction and team vision, aligning ML initiatives with business and product strategy.

• Act as a technical partner for stakeholders, translating business problems into well-scoped ML initiatives and priorities.

• Guide the team in designing, delivering and maintaining scalable, production-ready ML solutions.

• Drive effective execution by setting priorities, delegating work and removing technical and organizational blockers.

• Oversee ML project delivery, ensuring sound technical decisions, efficient resource usage and timely outcomes.

• Mentor and coach engineers, supporting technical growth, ownership and senior-level decision-making.

• Provide regular feedback and performance guidance, supporting individual development paths.

• Partner with senior leadership on team planning, hiring and learning & development initiatives, balancing delivery with long-term technical excellence.

Why should you work with us?

• Data Science plays a key role in the operation of Allegro - we are a data-driven technology company, and through the models and analyses provided you will have a significant impact on one of the largest eCommerce platforms in the world.

• We can help you to grow as a true leader and to build collaborative and highly engaged teams.

• Support of experienced Data Scientists and Data Analysts - there is always someone to exchange ideas with, because we have the best specialists and experts in their field on board.

• You will have the opportunity to learn the tools and technologies in practice:
  Python (including various ML libraries), GCP environment (BigQuery, VertexAI, Cloud Composer, Dataflow), Airflow, PySpark, Gemini/GPT models.

• We share our knowledge at industry conferences and trainings, we are an active participant and co-creator of the Data Science / Machine Learning community in Poland and in the world.

Our offer is addressed to people who

• Have proven ability to lead and develop high-performing engineering teams, make tough prioritization decisions and provide constructive feedback that supports growth.

• Have a strong technical background in data science or data analysis.

• Are able to work closely with business stakeholders, translate technical work into business value and risk and drive work with a strong sense of purpose.

• Have experience in data analysis using SQL and building machine learning solutions in production environments, especially with end-to-end experience in designing ML models.

• Want to translate business challenges into ML problems.

• Program in Python and efficiently use basic development tools.

• Understand statistical and machine learning methods.

• Embrace modern tooling, specifically possessing practical and theoretical knowledge of Generative AI and Agentic AI principles (coding tools, prompting, validation). The ideal candidate enthusiastically leverages GenAI coding tools (like Copilot) to boost and automate workflows,  remaining up-to-date and critically engaged with the newest GenAI tooling.

• Graduated with a degree strongly related to statistical/mathematical modeling, such as Mathematics, Physics, Economics, Computer Science (or similar major) or job experience in data science / ML positions.

What's in it for you:

• 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.

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 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! 

Send us your CV and… see you at Allegro!