Product Manager - Data

Warsaw, Poland

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Job Description

Are you ready to impact the business of a leading European e-commerce platform with ML and AI? We are looking for a passionate and proactive Product Manager with a strong focus on ML / AI products to join our team. The successful candidate will have a good understanding of data analysis and practical applications of Machine Learning to solve business problems. You will be in charge of product discovery and roadmap, working closely with business stakeholders to deliver value through ML-based solutions for Finance and Commerce teams.

A hybrid work model requires one day a week in the office

We are looking for people who:

  • Have a Bachelor's degree in Business, Computer Science, Information Systems, or a related field. Advanced degree is a plus

  • Are experienced in a Product Manager or similar role in a technology or Data&AI focused field

  • Have proven experience with Agile methodologies and managing product backlogs

  • Excel in problem-solving & product discovery abilities with strong decision-making skills

  • Have excellent interpersonal, communication, and stakeholder management skills.

  • Have very good business writing skills, organization and discipline of work

  • Know English at min. B2 level (we use English by default in our daily work)

The following are also a plus:

  • Experience in Machine Learning/AI 

  • Experience in data analytics and/or data processing 

  • Experience in cloud platforms, i.e. Google Cloud Platform 

Additionally, we offer:

  • Well-located offices (with fully equipped kitchens and bicycle parking facilities) and excellent working tools (height-adjustable desks, interactive conference rooms)

  • 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

  • 16" or 14" MacBook Pro with Apple Silicon processor and, 36GB RAM or a corresponding Dell with Windows (if you don’t like Macs) and other gadgets that you may need 

  • Working in a team you can always count on — we have on board top-class specialists and experts in their areas of expertise

  • A high degree of autonomy in terms of organizing your team’s work; we encourage you to develop continuously and try out new things

  • Hackathons, team tourism, training budget and an internal educational platform, MindUp (including training courses on work organization, means of communications, motivation to work and various technologies and subject-matter issues)

  • If you want to learn more,  check it out

In your daily work you will handle the following tasks:

  • Support business leaders by proposing and delivering AI solutions aimed at solving their business challenges and improving their KPIs

  • Collaborate with stakeholders to understand their needs and translate them into AI product requirements

  • Develop long term product roadmaps with a focus of driving business value

  • Work closely with Data Scientist, Engineer and Analyst Team Managers to manage and prioritize the backlog and drive the AI product development according to the defined roadmap

  • Facilitate communication across different teams and stakeholders to align objectives and ensure everyone is on the same page

  • Define and analyze metrics that inform the success of products. Identify and track key performance metrics

  • Communicate product development and plans through presentations, workshops, review sessions

Why is it worth working with us:

  • In the Data&AI team you would be a part of a team consisting of over 200 data, ML & product specialists overseeing dozens of products, few hundred production ML models and governs all data in Allegro (several dozen petabyte scale)

  • Truly customer-centric product teams focusing on user needs & experience

  • Full responsibility & autonomy in the designated product (area) in regards to the strategy, priorities, metrics etc

  • Ability to make direct impact on how data benefits our end customers (milions everyday across the entire CEE region)

  • Our products help to solve a variety of business challenges spanning across domains such as: Personalization, Search, Marketing, Advertising, Logistics, Customer Service and more

  • Our products support modern ways of working in Data&AI (data mesh, data contracts, catalog, MLOps, GenAI, newest Machine Learning techniques etc.

  • Access to the latest technology stack & freedom for the teams to make technology choices wherever needed. Plus the education time so that we can all keep up with what’s the latest

  • We provide an Internal mentorship programme (if you want to rocket-boost your career or help others develop theirs)

  • Over 100 original open source projects and a few thousand stars on github

  • We organize Allegro Tech Live event, a 100% remote version of our offline Allegro Tech Talks meetups, and we make guest appearances at the invitation of such communities as Warsaw AI, CDO Forum, Data Science Summit, Big Data Tech Warsaw Summit, JUG (Poznań, Łódź, Lublin, Wrocław), WG .Net, Dare IT, Women in Tech Summit

  • We focus on development as well. We organize hackathons and internal conferences (e.g. the annual Allegro Tech Meeting), our employees regularly participate in product events both in Poland and abroad (Europe and USA),. Each team has its own budget for training and study aids. If you want to keep growing and share your knowledge, we will always support you.

 

This may also be of interest to you!

Allegro Tech Podcast → https://podcast.allegro.tech/

Booklet → https://jobs.allegro.eu/job-areas/tech-data/ 

 

Send in your CV and see why it is #dobrzetubyć (#goodtobehere)

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Agile Big Data Computer Science Data analysis Data Analytics E-commerce Excel Finance GCP Generative AI GitHub Google Cloud KPIs Machine Learning ML models MLOps Open Source

Perks/benefits: Career development Conferences Gear Lunch / meals Team events

Regions: Remote/Anywhere Europe
Country: Poland

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