Employer: Global AI and Digital Product Company
Location: Remotely from Poland
Cooperation model: Full-time employment contract
Start date: ASAP
Recruitment process: 3 online interviews
Key areas: Product Strategy, Retail, Generative AI, Data Analytics, B2B SaaS, Agile.
Our client is an international technology company supporting global enterprises in designing, building, and scaling advanced digital products. The organization combines product development expertise with data, analytics, and artificial intelligence to help its clients modernize their businesses and introduce new technology-driven services.
We are looking for an experienced Senior Product Manager who will take ownership of complex, data-intensive products developed for the retail sector. You will work directly with international clients and collaborate with engineering, data science, AI, UX, and delivery teams located across several regions.
Your role is:
Defining product direction and translating business objectives into a structured, prioritized product backlog
Managing product roadmaps for solutions related to areas such as customer personalization, audience segmentation, forecasting, pricing, or promotional planning
Coordinating product delivery through planning, development, review, and release cycles
Identifying valuable applications of Generative AI and analytics together with Data Science and AI Engineering teams
Assessing AI-generated results, analytical models, and predictive outputs from both a product and business perspective
Leading cooperation between distributed engineering, product, design, and client-facing teams
Working closely with UX specialists to create clear workflows, decision-support solutions, and conversational AI experiences
Advising enterprise clients and helping senior stakeholders turn complex business challenges into practical product initiatives
Explaining technical and AI capabilities in terms of measurable business value
Monitoring product adoption, user feedback, operational indicators, and AI solution effectiveness
Supporting commercial and pre-sales activities when product expertise is required
Your skills and experiences:
At least 5 years of professional experience in Product Management
Proven experience in building data-driven, analytical, AI-enabled, or enterprise B2B SaaS products
Experience in at least one retail or marketing technology domain, such as retail media, FMCG, loyalty systems, AdTech/MarTech, customer data platforms, pricing tools, or retail/supply chain planning solutions
Good understanding of how Generative AI solutions are designed and used in production environments
Familiarity with LLM-based products, AI agents, prompt-driven interfaces, and human validation mechanisms
Strong analytical skills and confidence when working with algorithms, predictive models, and complex datasets
Experience cooperating with enterprise clients and advising senior business stakeholders
Ability to operate effectively in situations where requirements may initially be incomplete or ambiguous
Good knowledge of Agile and Scrum product development practices
Experience working with international and geographically distributed teams
Familiarity with tools such as Jira, Confluence, Figma, Excel, and data visualization platforms such as Power BI
Very good command of English, enabling daily cooperation with international clients and teams
Nice to have:
Experience defining guardrails and quality controls for LLM-powered products
Understanding of AI usage costs, including token consumption and model-related operating expenses
Knowledge of data privacy requirements affecting AI and analytical products, including GDPR or Data Clean Rooms
Previous experience in a technology consulting, software agency, or professional services environment
Experience working as part of a client's internal product organization
Our client offers:
Stable, full-time employment based on an employment contract
Remote-first cooperation from Poland
Direct involvement in international, enterprise-scale product initiatives
The opportunity to shape advanced solutions combining retail, data analytics, and Generative AI
Daily cooperation with experienced product, engineering, UX, and AI professionals from different countries
Significant influence over product strategy, roadmap, and final business outcomes
Access to varied projects, industries, and professional development opportunities
A collaborative working environment focused on knowledge sharing, ownership, and continuous improvement

