Product Manager - AI & Data Solutions

Dun & Bradstreet; Austin (TX); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Generous paid time off

Up to 16 weeks parental leave

Sick time to care for yourself or a 가족

Education assistance and training

401k with company matching

Job summary

Dun & Bradstreet, a global leader in business data and analytics, is seeking a Product Manager to own day-to-day roadmap execution, customer requirements, and cross-functional coordination for existing products. The role emphasizes maintenance and growth, enabling senior leaders to focus on strategic initiatives.

You will partner with engineering, sales, and marketing to deliver winning products, define metrics, and inform data-driven decisions, while staying customer-focused in this dynamic

Qualifications

• Bachelor’s Degree in Business Administration, Technology or related field is required.
• Advanced degree preferred.
• 3+ years product management experience in PLM processes.

Responsibilities

• Own day-to-day roadmap execution and gather customer requirements.
• Manage product lifecycle from ideation to retirement.
• Collaborate with engineering, sales, and marketing to deliver winning products.
• Define and track key product metrics.
• Engage with customers and sellers to gather feedback.

Skills

Product management

AI technologies

Market research

Lifecycle management

Cross-functional collaboration

Analytical skills

Communication skills

English proficiency

MS Office

JIRA/Confluence/Aha

Education

Bachelor's Degree in Business Administration or related

Advanced Degree preferred

Tools

JIRA

Confluence

Aha!

Trello

Job description

Dun & Bradstreet, a global leader in business data and analytics, is seeking a Product Manager to own day-to-day roadmap execution, customer requirements, and cross-functional coordination for existing products. The role emphasizes maintenance and growth, enabling senior leaders to focus on strategic initiatives.

You will partner with engineering, sales, and marketing to deliver winning products, define metrics, and inform data-driven decisions, while staying customer-focused in this dynamic