Jobs at RELX

Develop customer, market, and competitor insights to support growth strategy for legal news products. The role creates recommendations, competitive assessments, go-to-market plans, business cases, senior presentations, and strategic project plans. It partners with Product, Editorial, Marketing, and Sales to identify opportunities, improve positioning, support launches and investments, and monitor initiative results.

Design, develop, and deploy ML, NLP, and generative AI solutions to improve scientific discovery. Build retrieval, recommendation, ranking, and RAG systems; fine-tune and evaluate LLMs; create evaluation frameworks; build scalable data pipelines; collaborate with cross-functional teams and produce production-quality Python code to deliver reliable, impactful AI systems for research use.

Prospects for new business through phone, email, and LinkedIn; researches and qualifies leads; coordinates with Marketing; documents prospect information; schedules demonstrations and meetings; builds sales pipeline; identifies decision-makers; and generates qualified opportunities for account executives.

Drive adoption and retention of Healthcare customers by qualifying opportunities, architecting solutions, aligning stakeholders, delivering sales pitches, and providing post-sales support. Partner with Sales and cross-functional teams to tailor LexisNexis healthcare solutions, run training/workshops, analyze market trends, and support client deployments. Travel up to 35%.

Translates complex commercial contract reasoning into production-ready LLM workflows for contract intelligence. Defines use cases, prompt architectures, schemas, evaluation frameworks, grounding strategies, and exception handling. Partners with legal experts, product, engineering, data science, and operations teams to deploy and monitor AI capabilities, support adoption, and ensure accurate, evidence-grounded outputs across contract analytics workflows.

Develop and lead strategic brand storytelling and integrated communications campaigns for Cell Press. Create and commission compelling content, coordinate web, social, email, and other channels, and translate complex scientific subjects into accessible stories. Define KPIs, analyze campaign performance, present insights to senior stakeholders, and manage freelancers and external partners while balancing multiple priorities.

Design and deploy custom AI-enabled legal workflows and vault templates for large law firms. Lead client discovery, pilots, and adoption; represent customer needs to product and engineering; create client-facing resources and support sales/post-sales to drive sustained usage and product improvements.

Develop and evaluate production-oriented AI capabilities for legal products. Responsibilities include designing LLM, RAG, retrieval, ranking, and agentic-system experiments; building prototypes and evaluation harnesses; analyzing errors, hallucinations, and data quality; defining benchmarks and human-in-the-loop metrics; and partnering with engineers, product teams, legal experts, and customers to improve AI workflows. The role is fully onsite in New York City with occasional customer-site travel.

Supports state and local government sales by making outbound contacts, pursuing and qualifying leads, closing sales, accepting orders, maintaining customer records, and completing documentation. The role uses Salesforce and Accurint to track prospecting, demonstrate products, discuss pricing, and support customer engagement. It also communicates with sales leadership, explains product information, and helps develop a portfolio of buying customers.

Provide deep technical product knowledge and demonstrations, respond to RFPs/RFIs and security questionnaires, build proofs of concept and sales enablement materials, run webinars and trainings, collaborate cross-functionally to solve customer problems and drive sales. Writing and public-speaking intensive; frequent client-facing demos and up to ~25-30% travel.

Manage a portfolio of strategic enterprise accounts to drive adoption, scale, and value from an AI SaaS solution. Lead onboarding, success plans, QBRs, health checks, change management, and cross-functional advocacy to identify upsell, mitigate risk, and ensure retention. Track AI adoption and usage metrics and translate them into value stories for clients and internal stakeholders.

Cover adoption of legal technology and generative AI across law firms, courts and regulators. Break news, produce enterprise features, cultivate industry sources, and translate complex technical concepts into clear analysis for a professional legal audience.

Provide advanced technical support for LexisNexis Risk Solutions products: investigate, reproduce, and resolve complex customer issues using log and database analysis; manage cases end-to-end, escalate defects, validate fixes, and collaborate with Level 3 and product teams to improve support processes and product quality.

Provide FP&A and decision support for the InterAction P&L: lead planning, budgeting, forecasting, monthly performance analysis, pricing and deal support, business cases, KPI monitoring, and ad hoc scenario modeling. Partner with product, sales, marketing and operations, improve financial models and reporting, and use generative AI and automation to streamline analysis and reporting for senior stakeholders.

Design, build, evaluate, and scale production-ready AI solutions (LLMs, NLP, retrieval, RAG, knowledge graphs) to support scientific discovery. Lead architecture, mentor data scientists, partner with engineering and product, and measure model quality, trustworthiness, and user impact.

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.

Analyze article and newsletter performance across platforms, translate data into concise insights for editorial strategy, run A/B headline tests, track audience behavior by product/region/channel/topic, and collaborate with editorial, product, and marketing to grow subscriber engagement.

Lead and develop data science teams to deliver AI/ML, NLP, search, retrieval, and generative AI products for scientific discovery. Set strategy, ensure model quality and responsible AI, partner with product and engineering, mentor staff, and drive measurable impact from research to production.

Lead creation of a Global Protege Product Marketing function to define positioning, messaging, and technical narrative for LexisNexis' AI-enabled legal workflow products. Build operating cadence, governance, sales enablement assets, web presence, and a trigger/response process from market signals. Partner with Product, Technology, Sales, Brand, and local marketing to drive consistent global-to-local execution and improve competitive differentiation, adoption, and pipeline influence.

Designs, researches, and implements complex cross-system software; translates customer requirements into solutions; develops and optimizes data models and storage; mentors junior engineers; performs code reviews, TDD, and complex bug fixes; operates in Agile/Waterfall environments and promotes development best practices.