Jobs at RELX

Manage full enterprise sales cycle for LexisNexis Legal & Professional: prospect, build relationships with senior decision-makers, identify client challenges, present consultative solutions, close complex deals with law firms and corporate accounts, collaborate cross-functionally, and meet monthly/quarterly/annual sales targets and KPIs.

Support development and execution of go-to-market strategy initiatives by analyzing market research, tracking opportunities in Salesforce, leading cross-functional projects, and delivering data-driven recommendations using Excel, Tableau, and AI tools. Build stakeholder relationships and manage implementation plans and timelines to drive growth and profitability.

Drive full sales cycle for enterprise corporate accounts and law firms: prospect, build relationships, generate pipeline, manage complex deals, collaborate cross-functionally, and achieve monthly, quarterly and annual sales targets while acting as a consultant to quantify customer objectives and deliver solutions.

Use legal training to create and evaluate AI training data: perform legal research and analysis, provide annotation and feedback, support senior team members, communicate insights, participate in stakeholder presentations, and advocate for Responsible AI.

Partner with large law firms to drive retention, expansion, and cross-sell through consultative, insight-driven engagements. Build executive relationships, design multi-product commercial solutions, demonstrate ROI, meet revenue and pipeline targets, and promote adoption of AI-driven legal solutions within complex firm environments.

Create, review, and maintain practical legal content (practice notes, checklists, precedents) for Canadian Capital Markets and Public M&A. Monitor legal developments, manage practitioner relationships, inform content strategy, collaborate cross-functionally on product development, and support sales and training activities.

Serve as first point of contact for consumers, manage and resolve data and consumer rights cases within SLAs, investigate data enquiries, apply corrections, maintain documentation, and communicate service issues to stakeholders.