Jobs at RELX

Lead and grow a data science team to design, prototype, and productionize NLP/LLM systems for legal content. Set AI strategy, build evaluation and monitoring, drive RAG/agentic solutions, collaborate cross-functionally, and ensure scalable, reliable deployment and responsible use of generative AI.

Support sales operations by delivering reporting, analytics, and process improvements. Maintain sales resources (Outlook lists, SharePoint, contract tools), ensure data integrity, support goaling, compensation, territory design, and collaborate cross-functionally to improve sales performance.

Support and automate cloud infrastructure (primarily Azure) for insurance applications. Implement IaC, assist deployments, troubleshoot incidents, improve security controls, and maintain monitoring and documentation while collaborating with engineers and non-technical stakeholders.

Partner with large law firm accounts to drive adoption of LexisNexis research, drafting, analytics, and AI solutions. Build relationships, execute success plans, analyze usage data, coordinate with sales/product teams, and support retention and growth across distributed user groups.

Serve as a trusted presales advisor designing API and data solutions, supporting strategic sales, guiding implementations, troubleshooting integrations, and enabling customers to maximize LexisNexis data, API, and AI/GenAI solutions through cross-functional collaboration.

Serve as a senior, client-facing legal engineer to design, deploy, and drive adoption of custom AI-enabled workflows and vault templates for large law firms. Partner with sales, post-sales, product, and engineering to scope solutions, run demos and pilots, collect client feedback, and support firm rollouts and ongoing adoption.

Lead end-to-end delivery of client programs, managing scope, schedule, budget, risks and stakeholder alignment. Coordinate cross-functional teams, gather and validate requirements, and drive PMO best practices to ensure successful client outcomes and continuous improvement.

Manage and nurture a portfolio of law firm clients for DMS and drafting solutions. Lead onboarding, training, and adoption; coordinate with support, product, and development teams; track usage and satisfaction metrics; advocate client feedback for product improvements and drive retention strategies.

Support legal content operations by conducting legal research and document analysis, managing content lifecycle and vendor relationships, developing dashboards and reports, and driving automation and continuous improvement across cross-functional teams to deliver high-quality legal content.

Sell Elsevier's ClinicalKey to hospitals, health systems, and medical schools by prospecting within an assigned territory, building C-suite relationships, creating account plans, delivering product demonstrations, closing new business to exceed quota, forecasting sales, maintaining CRM data, and collaborating with internal teams. Requires frequent customer engagement and travel.

Cover California legal industry and adoption of legal tech and generative AI. Break news, produce enterprise features, cultivate sources across law firms, startups, regulators, and translate technical concepts for a professional legal audience.

Review, edit, and audit AI-assisted legal opinions and caselaw content for accuracy. Identify legal issues, determine precedential impact, apply history/treatment lettering, verify source material, meet production targets, resolve complex editorial questions, and suggest guideline or workflow improvements.

Partner with corporate legal departments to design and implement AI-driven workflows and LexisNexis solutions. Conduct demos, trainings, executive briefings, and workshops; advise on AI adoption and governance; identify expansion opportunities; collect client feedback and relay product recommendations. Travel frequently to support client engagements.

Lead product management for Secondary legal content (Treatises, Jurisprudence, Practical Guidance). Define roadmap, requirements, and success metrics to optimize content for AI and search retrieval. Diagnose retrieval gaps, partner cross-functionally with technology, operations, SMEs, and international teams, and drive features from concept to release informed by customer insights.