Lead Data Product Manager (Fintech)

Location: Remote with a hybrid setup, ideally one day per week in the Warsaw or Kraków office, Poland.

Company

InPost Pay is building a greenfield fintech platform with a lean, international, AI-native engineering organization in Poland.

What you will do

• Own and prioritize the roadmap for feature stores, decisioning and underwriting datasets, and self-serve analytics products across BNPL and Acquiring & Payments.
• Translate credit, underwriting, fraud, risk, and commercial needs into prioritized data-product specifications and acceptance criteria.
• Align product roadmaps with Data Engineering, ML, and MLOps platform capacity, feature-store architecture, and delivery sequencing.
• Lead AI-first and agentic data-product delivery with guardrails, evaluations, human-in-the-loop controls, and cost and latency management.
• Define and track portfolio outcomes including adoption, self-serve usage, and decisioning-data SLAs.
• Lead up to three Data Consultants and manage capacity planning across both product domains.

Requirements

• 5+ years of product management experience for data products or data platforms, including leadership or coordination of technical and analytical teams.
• 3+ years of experience in fintech, credit, lending, or payments, with knowledge of BNPL origination, underwriting, and transaction or acquiring flows.
• Strong data-product strategy and roadmap ownership skills, including knowledge of point-in-time correctness, freshness, lineage, and self-serve enablement.
• Hands-on SQL skills and the ability to convert business, credit-risk, and ML needs into buildable specifications.
• 2+ years of experience leading AI-first data products with agents, guardrails, evaluations, human-in-the-loop workflows, and agent-loop cost and latency controls.
• Fluent English at B2+ level required.

Nice to have

• Feature store or ML-enabled decisioning product experience.
• Acquiring or merchant payments data experience, including payment-scheme and acquirer data structures.
• ML/MLOps fundamentals, IFRS 9 or credit provisioning data knowledge, and self-serve analytics product experience.
• Databricks or lakehouse platform familiarity.

Culture & Benefits

• Architectural authority and the opportunity to shape a greenfield fintech platform from day one.
• Modern technology stack with an AI-native engineering approach and room to bring new technologies into production.
• Collaborative, fast-moving environment combining autonomy with accountability.
• Remote work with hybrid office attendance ideally one day per week in Warsaw or Kraków.
• B2B contract.