Shape the Future with Dun & Bradstreet
At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. For over 180 years, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers.
The Principal Product Manager (Product Led Data Contribution and Business Visibility) owns a product-led data contribution ecosystem where small businesses voluntarily attest to and consent to sharing information through a true freemium experience and then upgrade into paid products that enhance profile completeness, trust, and creditworthiness.
This role is accountable for designing the loop that turns self-serve participation into measurable business value and monetization, operating at the intersection of product-led growth (PLG), consent-driven data collection, trust signals, and freemium expansion. The Principal Product Manager leads product strategy, development, and lifecycle management, driving product vision, market analysis, and cross-functional collaboration from ideation through launch and ongoing optimization.
Pursuant to Polish pay transparency requirements, candidates will receive information about remuneration for this position at the appropriate stage of the recruitment process and before employment is established. Actual compensation decisions for base salary and other compensation will be dependent upon a wide range of factors including but not limited to: an individual’s skill sets, experience, qualification, training, education, location, and any other legally permissible factors. Successful applicants will also be eligible for D&B’s benefit package.
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please visit https://bit.ly/3LMn4CQ.