Senior Product Manager - Data&AI

  • Warszawa
  • Allegro
technologies-optional : Google Cloud Platform about-project : 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 Machine Learning 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. responsibilities : 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 prioritizinh 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 requirements-expected : 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 offered : Depending on your annual assessment and the company's results we offer: annual bonus up to 20% of the annual salary gross and long-term discretionary incentive plan based on Allegro.eu shares A hybrid work model requires 3 days a week in the office. 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: https://jobs.allegro.eu/benefits/ 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