Depending on your annual assessment and the company's results we offer:
Annual bonus up to 10% of the annual salary gross
Long-term discretionary incentive plan based on Allegro.eu shares
A hybrid work model requires 1 day a week in the office.
We are looking for a passionate and proactive Product Manager with a strong focus on Data&AI products to join our team. The successful candidate will have a good understanding of modern Data ecosystems and practical applications of data products to solve business problems. You will be in charge of product discovery in your product area, working closely with stakeholders to deliver value through data-related products such as ML models, data products, data platform, reports, and applications, driving product development with a team of engineers, data scientists and analysts and deciding on the structure of data-related products built for the entire company.
We are looking for people who:
Have bachelor's degree in Business, Computer Science, Information Systems, or a related field. Advanced degree is a plus
Have proven experience as a Product Manager or similar role in a technology or Data&AI focused field
Have experience with Agile methodologies and managing product backlogs
Have exceptional problem-solving & product discovery abilities with strong decision-making skills
Have an excellent interpersonal, communication, and stakeholder management skills
Have very good business writing skills
Have a working proficiency in English (we use English by default in our daily work)
Have an exceptional organization and discipline of work
Have experience in Machine Learning/AI is a plus
Have experience in data analytics and/or data processing is a plus
Have experience in cloud platforms, i.e. Google Cloud Platform is a plus
Know English at minimum B2 level and Polish at minimum C1 level
What we offer:
A hybrid work model that you will agree on with your leader and the team. We have 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 M1 processor and, 32GB 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 out this webpage
In your daily work you will handle the following tasks:
Supporting business leaders by proposing and delivering Data&AI solutions aimed at solving their business challenges and improving their KPIs
Co-deciding on the vision and planning the strategy of Data&AI products
Leading the ideation and launching of innovative tools, platforms, and/or products
Collaborating with stakeholders to understand their needs and translate them into Data&AI product requirements
Developing product roadmaps and timelines, and managing the delivery of features and enhancements
Managing and prioritizing the product backlog in collaboration with a team of engineers to ensure work is aligned with strategic goals
Facilitating communication across different teams and stakeholders to align objectives and ensure everyone is on the same page
Defining and analyzing metrics that inform the success of products. Identifying and tracking key performance metrics
Communicating 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 Allegro works with data (over 100 teams and few thousand internal users) and how data benefits our end customers (millions 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 program (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. 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:
About Data Science Hub at Allegro → https://podcast.allegro.tech/o-data-science-hub-w-allegro/
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)
