Product Manager (Data & AI)

TL;DR

Product Manager (Data & AI): Developing data and analytics products to optimize Supply Chain and Manufacturing operations with an accent on translating business needs into technical requirements. Focus on leading an agile Data&AI squad, building stakeholder alignment, and promoting data-driven operational efficiency.

Location: Hybrid (Katowice, Poland)

Company

World’s leading tea business, home to iconic brands like Lipton, Pukka, Tazo, T2, Lyons and PG Tips.

What you will do

• Partner with Supply Chain and Manufacturing teams to identify needs and shape data-driven solutions.
• Define a clear product vision and build alignment across diverse stakeholders.
• Manage the product backlog and lead a Data&AI squad using agile methodologies.
• Bridge the gap between business objectives and technical implementation throughout design and testing.
• Identify new opportunities to enhance operations via data and analytics.
• Drive the adoption of data-driven workflows and track measurable business impact.

Requirements

• 5+ years of experience in product management, preferably within Data & AI domains.
• Strong business acumen with the ability to master operational domains quickly.
• High-level technical understanding of AI, BI, data engineering, or data science.
• Proven expertise in stakeholder management, influencing, and prioritization.
• Experience with agile delivery and coordinating technical teams or contractors.
• Must be based in or able to work in a hybrid setup in Katowice, Poland.

Culture & Benefits

• Yearly salary reviews and performance-based annual bonuses.
• Private medical care and employer-paid life insurance.
• MyBenefit cafeteria points and holiday reimbursement.
• Access to discounted company products and employee referral rewards.
• Structured onboarding and continuous professional learning opportunities.
• Collaborative environment with cross-functional global team interaction.

Hiring process

• The process typically consists of 2-3 stages depending on the seniority of the role.
• The company aims to review every CV within 2 weeks.