Dun & Bradstreet, Inc. logo

Product Manager - Enterprise Gen AI (R-19354)

Job Overview

Location

Austin - Texas - United States

Job Type

Full-time

Category

Product Manager

Date Posted

June 3, 2026

Full Job Description

đź“‹ Description

  • • Lead the product strategy and roadmap for an existing enterprise Gen AI product, focusing on maintenance, growth, and maturity to support both internal and third-party application use cases.
  • • Collaborate with senior management and cross-functional stakeholders to execute the product roadmap and support go-to-market activities including positioning, messaging, and commercialization.
  • • Own the full product lifecycle from conception through launch and ongoing optimization, ensuring alignment with business objectives and customer needs.
  • • Gather, analyze, and prioritize customer requirements from enterprise clients, internal teams, and external partners to inform product enhancements and new feature development.
  • • Develop detailed product specifications and documentation outlining revisions, updates, and new capabilities for existing AI-driven products.
  • • Conduct comprehensive market research to identify emerging trends, unmet customer needs, and evolving enterprise AI demands in the business decisioning space.
  • • Analyze competitor product offerings and benchmark against Dun & Bradstreet’s current solutions to define competitive positioning and differentiation strategies.
  • • Work closely with engineering teams to translate business requirements into technical specifications and ensure timely delivery of product milestones.
  • • Partner with sales and marketing to align product features with customer acquisition and retention goals, enabling effective sales enablement and promotional campaigns.
  • • Act as the primary liaison between product, engineering, sales, marketing, and customer success teams to gather feedback, communicate product status, and drive alignment across departments.
  • • Identify and capture emerging market opportunities to strengthen Dun & Bradstreet’s role as a trusted data layer for enterprise AI applications.
  • • Translate innovation into measurable commercial outcomes by defining KPIs, tracking adoption metrics, and optimizing product performance based on data-driven insights.
  • • Ensure product decisions are grounded in enterprise-grade data quality, compliance, and scalability requirements inherent to Dun & Bradstreet’s global business decisioning platform.
  • • Represent the product in executive reviews, customer demos, and industry forums to communicate vision, progress, and value proposition to internal and external audiences.

🎯 Requirements

  • • Proven experience as a Product Manager in enterprise AI or machine learning products
  • • Demonstrated success managing the full product lifecycle for SaaS or data-driven platforms
  • • Strong understanding of enterprise customer needs in business intelligence, risk management, or decisioning analytics
  • • Experience working closely with engineering teams to deliver AI/ML-powered features
  • • Proven ability to conduct market research and competitive analysis to inform product strategy
  • • Excellent communication and stakeholder management skills across technical and non-technical teams

🏖️ Benefits

  • • Competitive salary and performance-based bonus structure
  • • Comprehensive health, dental, and vision insurance
  • • Generous paid time off and flexible work arrangements
  • • Professional development and learning stipend

Skills & Technologies

Product Management
Onsite

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Dun & Bradstreet, Inc. logo
Dun & Bradstreet, Inc.
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About Dun & Bradstreet, Inc.

Dun & Bradstreet is a global provider of commercial data, analytics and insights on businesses. The company maintains a database of more than 500 million corporate entities worldwide, offering credit reports, risk management tools, sales and marketing intelligence, supply chain data, and compliance solutions. Founded in 1841, it serves enterprises, financial institutions and governments seeking to assess business creditworthiness, identify opportunities and mitigate risk. Its offerings are delivered through cloud-based platforms and APIs, integrating with customer systems to support informed decision-making across finance, procurement and regulatory functions.

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