Principal Product Manager, AI Platform & Global Deployment

LexisNexis Legal & Professional group; United States; Remote; USD 118,000 - 220,000; Full time

Job summary

LexisNexis Legal & Professional is seeking a Principal Product Manager, Forward Deployment, to own the reusable platform services and deployment patterns that scale across regions and customers. You will translate customer insights into investments that accelerate deployment, improve stickiness, and enable cross-region reuse.

In this hands-on role, you will define what becomes shared platform capability versus local implementation, accounting for data sovereignty, content supply, and language.

Qualifications

• 10+ years of Product Management experience with real technical depth.
• Masters degree in Computer Science or Engineering preferred.
• Strong product leadership across global organizations.
• Experience defining platform strategy across products/regions.
• Experience with AI-powered products, generative AI, retrieval/AI workflows.

Responsibilities

• Define and drive platform capabilities enabling multiple products, regions, and customer segments.
• Identify opportunities to transform market-specific functionality into reusable platform services.
• Develop strategic frameworks that improve speed-to-market while maintaining global consistency.
• Champion platform-first thinking across product and engineering teams.
• Engage with customers and market leaders to identify workflow challenges and opportunities.
• Translate customer requirements into scalable platform investments and validate concepts.

Skills

Product Management

Customer-facing

AI/ML

Platform strategy

Cross-functional

Education

Masters in CS or Eng

Job description

LexisNexis Legal & Professional is seeking a Principal Product Manager, Forward Deployment, to own the reusable platform services and deployment patterns that scale across regions and customers. You will translate customer insights into investments that accelerate deployment, improve stickiness, and enable cross-region reuse.

In this hands-on role, you will define what becomes shared platform capability versus local implementation, accounting for data sovereignty, content supply, and language.