Principal Product Manager, PLG Data & Trust Signals

Dun & Bradstreet; Warszawa; On-site; PLN 300,000 - 600,000; Full time

Job summary

Dun & Bradstreet in Warsaw seeks a Principal Product Manager to own the product-led data contribution and business visibility initiative. You will shape the strategy for a freemium data ecosystem that turns self-serve participation into paid offerings increasing profile completeness, trust, and creditworthiness.

You’ll drive cross-functional collaboration with GTM, Technology, Legal, Data, and Finance, define requirements, run experiments, track KPIs, and mentor teammates in a fast-paced PLG

Qualifications

• Bachelor’s degree in Business, Technology, or related disciplines.
• 12+ years of product management experience, ideally in PLG or growth environments.
• Experience designing consent-driven user flows and data permission journeys.

Responsibilities

• Own the consent-based data contribution loop by designing intuitive, low-friction user experiences that drive attestations and explicit consent.
• Define and deliver freemium value including profile completeness, trust indicators, and validation features.
• Design monetization pathways extending freemium into paid offerings such as advanced scoring and trust badges.
• Own experimentation and KPIs including attestation completion, consent rates, profile progression, and conversion.

Skills

Product Management

PLG Growth

Data Analytics

Cross-Functional

UX Design

Market Research

Stakeholder Mgmt

Trust Systems

SMB Audience

English Proficiency

Education

Bachelor’s Degree

Tools

MS Office

Job description

Dun & Bradstreet in Warsaw seeks a Principal Product Manager to own the product-led data contribution and business visibility initiative. You will shape the strategy for a freemium data ecosystem that turns self-serve participation into paid offerings increasing profile completeness, trust, and creditworthiness.

You’ll drive cross-functional collaboration with GTM, Technology, Legal, Data, and Finance, define requirements, run experiments, track KPIs, and mentor teammates in a fast-paced PLG