Platform PM Lead – AI & Forward Deployment

Relx Plc; Raleigh (NC); Hybrid; USD 118,000 - 220,000; Full time

Job summary

LexisNexis Risk Solutions is seeking a Principal Product Manager, Forward Deployment, to own the platform layer that underpins AI-powered legal workflows across regions. You will translate customer needs into scalable platform investments and work closely with white-glove and customer-facing teams to extend capabilities globally.

You will shape reuse vs. local customization, drive data sovereignty and language considerations, and define value metrics for platform adoption.

Qualifications

• 10+ years of product management experience with technical depth.
• Masters degree in Computer Science or Engineering preferred.
• Experience defining platform strategy across multiple products, regions, or customer segments.
• Strong customer-facing collaboration and stakeholder management.

Responsibilities

• Define and drive platform capabilities across products, regions, and customer segments.
• Identify opportunities to transform market-specific functionality into reusable platform services.
• Develop strategic frameworks to speed time-to-market with a consistent global experience.
• Engage directly with customers, field teams, and market leaders to align on workflows and investments.
• Apply generative AI, agentic systems, and workflow orchestration to solve real problems.

Skills

Product management

AI literacy

Customer-facing

Strategic thinking

Cross-functional leadership

Platform strategy

Education

Master's in CS/Engineering

Tools

Generative AI

Retrieval-augmented

Cloud deployment

Job description

LexisNexis Risk Solutions is seeking a Principal Product Manager, Forward Deployment, to own the platform layer that underpins AI-powered legal workflows across regions. You will translate customer needs into scalable platform investments and work closely with white-glove and customer-facing teams to extend capabilities globally.

You will shape reuse vs. local customization, drive data sovereignty and language considerations, and define value metrics for platform adoption.