Principal Product Manager

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

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. Since 1841, 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!

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.

Responsibilities:

• Own the consent-based data contribution loop by designing intuitive, low-friction user experiences that drive attestations and explicit consent.
• Ensure data contribution experiences clearly communicate purpose, usage, and value delivered back to the business.
• 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.
• Translate abstract trust and credibility concepts into clear product experiences and requirements.
• Act as the voice of the SMB customer, addressing skepticism and friction around data sharing.
• Drive product strategy, roadmap, and lifecycle management end-to-end.
• Collaborate cross-functionally with GTM, Technology, Sales, CX, Legal, Data, and Finance.
• Define product requirements, validate hypotheses, track performance, and mentor junior team members.

Essential Skills and/or Certifications:

• Bachelor’s Degree with major in Business Administration, Technology or related disciplines
• At least 12 years’ experience in Product Management, ideally in PLG or growth environments
• Experience designing consent-driven user flows and data permission journeys.
• Strong product analytics skills including funnels, experimentation, and cohort analysis.
• Proven cross-functional collaboration across Product, Legal, Data, and GTM.
• Market research, competitive analysis, and strategic thinking.
• Strong communication and stakeholder management skills.
• Experience in trust systems, identity, verification, or marketplaces is preferred
• Familiarity with SMB audiences and credibility-driven behaviors is desirable
• Ability to translate complex trust concepts into simple UX is preferred
• Proficiency in Microsoft Office Suite skills
• Show an ownership mindset in everything you do. Be a problem solver, be curious and be inspired to take action. Be proactive, seek ways to collaborate and connect with people and teams in support of driving success.
• Continuous growth mindset, keep learning through social experiences and relationships with stakeholders, experts, colleagues and mentors as well as widen and broaden your competencies through structural courses and programs.
• Where applicable, fluency in English and languages relevant to the working market.

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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All Dun & Bradstreet job postings can be found at https://jobs.lever.co/dnb. Official communication from Dun & Bradstreet will come from an email address ending in @dnb.com.

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.