Senior Product Manager – AI Retail Platform

Start date: ASAP
Recruitment process: 3 online interviews
Key areas: Product Strategy, Retail, Generative AI, Data Analytics, B2B SaaS, Agile

Description

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.

Responsibilities

• Define product direction and translate business objectives into a structured, prioritized product backlog.
• Manage product roadmaps for solutions related to customer personalization, audience segmentation, forecasting, pricing, or promotional planning.
• Coordinate product delivery through planning, development, review, and release cycles.
• Identify valuable applications of Generative AI and analytics with Data Science and AI Engineering teams.
• Assess AI-generated results, analytical models, and predictive outputs from product and business perspectives.
• Lead cooperation between distributed engineering, product, design, and client-facing teams.
• Work with UX specialists to create clear workflows, decision-support solutions, and conversational AI experiences.
• Advise enterprise clients and help senior stakeholders turn complex business challenges into practical product initiatives.
• Explain technical and AI capabilities in terms of measurable business value.
• Monitor product adoption, user feedback, operational indicators, and AI solution effectiveness.
• Support commercial and pre-sales activities when product expertise is required.

Requirements

• At least 5 years of professional experience in Product Management.
• Proven experience building data-driven, analytical, AI-enabled, or enterprise B2B SaaS products.
• Experience in at least one retail or marketing technology domain: 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 working with algorithms, predictive models, and complex datasets.
• Experience cooperating with enterprise clients and advising senior business stakeholders.
• Ability to work effectively when requirements are incomplete or ambiguous.
• Good knowledge of Agile and Scrum product development practices.
• Experience working with international and geographically distributed teams.
• Familiarity with Jira, Confluence, Figma, Excel, and data visualization platforms such as Power BI.
• Very good English for 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.

Benefits

• Stable, full-time employment based on an employment contract.
• Remote-first cooperation from Poland.
• Direct involvement in international, enterprise-scale product initiatives.
• 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.
• Collaborative environment focused on knowledge sharing, ownership, and continuous improvement.