Senior Product Manager, REMOTE WARSZAWA RZESZÓW GDAŃSK WROCŁAW
Your profile:
- proven experience as a Product Manager building and scaling digital products,
- experience defining product strategy and delivering medium- to long-term product objectives (6–12 months),
- strong ability to identify business problems, define measurable product outcomes, and focus on value rather than delivery alone,
- practical experience working on ML-powered products and collaborating closely with Data Science and Engineering teams,
- strong understanding of product discovery, prioritization, and outcome-driven product management,
- experience making product decisions based on business KPIs within e-commerce, marketplace, advertising, or similar digital environments,
- excellent stakeholder management skills with experience collaborating with senior leadership and cross-functional teams,
- experience using AI-powered tools to support product discovery, research, and decision-making,
- fluent English communication skills,
- practical experience using AI-powered assistants (e.g. ChatGPT, Claude, Copilot Chat, or similar) to improve productivity, quality, or decision-making in analysis and software delivery.
Work from the European Union region and a work permit are required.
Nice to have:
- experience in AdTech or ranking and recommendation products,
- experience working with experimentation platforms and A/B testing,
- experience collaborating with platform or data teams on ML and data capabilities,
- understanding of auction-based monetization models and their product trade-offs,
- experience applying GenAI in a more structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations embedded into daily analytical and documentation work,
- interest in and familiarity with emerging AI-driven practices (e.g. automation of analysis tasks, AI-supported documentation, or workflow optimization), with a willingness to explore and experiment beyond standard approaches.
Recruitment Process:
CV review – HR call – Interview – Client Interview – Decision
Who We Are
While Xebia is a global tech company, our journey in CEE started with two Polish companies – PGS Software, known for world-class cloud and software solutions, and GetInData, a pioneer in Big Data. Today, we’re a team of 1,000+ experts delivering top-notch work across cloud, data, and software. And we’re just getting started.
What We Do
We work on projects that matter – and that make a difference. From fintech and e-commerce to aviation, logistics, media, and fashion, we help our clients build scalable platforms, data and AI solutions, and cutting-edge applications to shape the future of tech. Our clients include McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, InPost, and many, many more.
We value smart tech, real ownership, and continuous growth. We use modern, open-source stacks, and we’re proud to be trusted partners of Databricks, dbt, Snowflake, Azure, GCP, and AWS. Fun fact: we were the first AWS Premier Partner in Poland!
Beyond Projects
What makes Xebia special? Our community. We support tech communities, organize meetups (Software Talks, Data Tech Talks), and have a culture that actively support your growth via Guilds, Labs, and personal development budgets — for both tech and soft skills. It’s not just a job. It’s a place to grow.
What sets us apart?
Our mindset. Our vibe. Our people. And while that’s hard to capture in text – come visit us and see for yourself.
,[owning the end-to-end product lifecycle for ML-powered scoring capabilities within the Sponsored Offers domain,, defining product vision, strategy, and measurable outcomes aligned with business objectives,, leading product discovery by identifying customer and business problems, validating hypotheses, and prioritizing opportunities,, orchestrating cross-functional collaboration between Product, Data Science, Engineering, and business stakeholders throughout the delivery process,, optimizing the product roadmap by balancing business value, user needs, technical feasibility, and strategic priorities,, defining success metrics and monitoring product performance to continuously improve business outcomes,, communicating product direction, priorities, and progress to senior stakeholders across the organization,, leveraging AI-assisted discovery and research techniques to accelerate product decisions and improve product quality.] Requirements: Communication skills, agile, ML-powered products, Product Managment, AdTech, ABTesting Additionally: Training budget, Private healthcare, Multisport, Integration events, International projects, Mental health support, Referral program, Modern office, Canteen, Free snacks, Free beverages, Free tea and coffee, No dress code, Playroom, In-house trainings, In-house hack days, Normal atmosphere :).