RELX

Customer Success Manager

• Lead, coach, and develop a team of four Customer Success Consultants focused on trials, onboarding, and adoption of drafting and DMS-integrated solutions
• Establish a structured operating model that defines success milestones, engagement cadences, and adoption benchmarks
• Analyze product usage data in partnership with Data Science and internal analytics teams to identify adoption trends, expansion opportunities, and risk signals across the customer base
• Work closely with Sales to ensure smooth trial-to-post-sale transitions and aligned customer expectations
• Collaborate with Product and Development to prioritize enhancements based on structured customer feedback and real-world workflow friction
• Serve as a structured feedback channel to Product Management and Development teams
• Engage credibly with C-suite executives, Managing Partners, AI Innovation Attorneys, KM leaders, and law librarians to secure internal buy-in and drive organizational adoption
• Partner closely with Sales and Account Management to support renewals through demonstrated adoption and measurable value

Account Executive

• Achieving bookings targets for the Research Intelligence solutions portfolio.
• Applying a consultative approach to understand client needs and translate them into practical solutions aligned with company strategy.
• Developing and executing account strategies that address needs across multiple levels within customer organizations.
• Maintaining accurate Salesforce records and regularly review sales results and forecasts using tools such as Clari.
• Gathering and analyzing market insights to inform product development and Go-To-Market strategy.
• Representing Elsevier at trade shows and conferences with clear objectives and outcomes.
• Synthesizing information from multiple sources to support effective decision-making.
• Building and maintaining relationships with key decision-makers and influencers to support strategic objectives.

Sales Executive – SAAS for Federal Government

• Engage with clients post-implementation to address product performance inquiries and ensure ROI is met.
• Optimize client contacts to assess additional needs and uncover sales opportunities.
• Prepare client correspondence and communicate regularly, both proactively and on demand.
• Resolve service delivery or quality issues, working with internal teams and escalating as needed.
• Collaborate with product teams to enhance client experience and serve as a subject matter expert on solution trends and performance.
• Identify and drive enhancements to production through continuous improvement and analysis.
• Demonstrate in-depth knowledge of three or more LexisNexis Risk Solutions products.

• Achieving bookings targets for the Research Intelligence solutions portfolio
• Applying a consultative approach to understand client needs and translate them into practical solutions aligned with company strategy
• Developing and executing account strategies that address needs across multiple levels within customer organizations
• Maintaining accurate Salesforce records and regularly review sales results and forecasts using tools such as Clari
• Gathering and analyzing market insights to inform product development and Go-To-Market strategy
• Representing Elsevier at trade shows and conferences with clear objectives and outcomes
• Synthesizing information from multiple sources to support effective decision-making
• Building and maintaining relationships with key decision-makers and influencers to support strategic objectives

Sales Executive – SAAS, Federal Government

Full-stack Engineer

• Collaborate with technical teams and stakeholders to gather, analyze, and finalize functional and technical requirements for complex system development.
• Develop, review, and maintain detailed technical specifications and software design documents for enterprise-level applications and system components.
• Translate complex business and product requirements into scalable, efficient, and maintainable software solutions.
• Perform complex bug fixes, troubleshoot technical issues, and ensure timely resolution of application and system defects.
• Implement and adhere to software development best practices, including coding standards, code reviews, and development lifecycle processes across Agile and Waterfall environments.
• Design, optimize, and manage complex data models while ensuring high performance, scalability, and data integrity.
• Mentor and train junior software engineers on development methodologies, optimization techniques, and critical technical skills to support team growth and knowledge sharing.
• Stay updated with emerging technologies, industry trends, and innovative development practices while contributing to continuous improvement initiatives and other assigned responsibilities.

Senior Software Engineer

Content Manager

• Write, review, edit, and commission practice notes, precedents, checklists, flowcharts, and other practical legal resources.
• Ensure all digital legal content meets LexisNexis quality standards and remains current, accurate, and relevant.
• Monitor legal developments, market trends, and emerging issues in Corporate, Commercial, and M&A law.
• Interpret complex legal and business issues and recommend best practices for content development.
• Contribute subject-matter expertise and insights to overall content strategy, product direction, and innovation initiatives.
• Collaborate with cross-functional teams (including product, technology, and editorial teams) to deliver content within defined timelines.
• Utilize AI-enabled tools and large language models (LLMs) as part of the daily workflow, applying editorial judgment to validate and enhance outputs.
• Train, mentor, and provide guidance to junior team members, serving as a recognized expert within the function.

Digital Content Editor V

Account Manager

• Drive the expansion of our Research Intelligence business by securing new sales and growing our existing customer base through renewals and strategic upsell/cross-sell initiatives.
• Build strong, long-term partnerships with your accounts.
• Establish and nurture customer relationships while maximizing value delivery, ensuring high customer satisfaction and retention.
• Engage key stakeholders to measure and improve client satisfaction, provide high-quality support and value-added services, and identify opportunities to expand adoption of Elsevier’s Solutions portfolio.

Academic Account Manager – Academic & Government

Sales

• Achieving bookings targets for the Research Intelligence solutions portfolio within the U.S. Federal market.
• Leading and refining the Federal Go-To-Market strategy by incorporating customer, partner, and market insights.
• Applying a consultative, strategic approach to align Elsevier solutions with agency missions and priorities.
• Developing and executing multi-level account strategies, engaging executive, program, and procurement stakeholders.
• Maintaining accurate Salesforce records and regularly review pipeline health, sales performance, and forecasts using tools such as Clari.
• Synthesizing market intelligence to inform product strategy and GTM execution.
• Representing Elsevier at federal industry events, trade shows, and executive briefings.
• Navigating complex federal procurement environments, contract vehicles, and compliance requirements.
• Building and expanding relationships with senior decision-makers and influencers to advance Elsevier’s strategic objectives.

US Federal Sales Director, Research Solution

Data Scientist

• Use and suggest new tools and scripts to optimize models and policies.
• Scope, plan, and deliver customer focused projects.
• Inspire and support research that improves team capabilities.
• Explain complex behaviors using data to non-technical audiences.
• Develop strong best practices for the team to streamline deliverables.
• Collaborate with various teams to redefine best practices and improve products.

Consultant

• Lead critical enterprise programs that span multiple workstreams, ensuring alignment to business strategy and successful delivery
• Act as a strategic partner within the Business Transformation Office, shaping governance, best practices, and execution standards
• Define and drive strategy for large-scale, cross-functional initiatives rather than solely managing tasks or timelines
• Manage all phases of initiatives using established project and software development lifecycle methodologies
• Partner closely with stakeholders across Sales, Product, Technology, Professional Services, Marketing, Support, and other business functions
• Leverage data, dashboards, and reporting (e.g., Power BI) to track progress, drive transparency, and support decision-making
• Develop and maintain strong working relationships with internal stakeholders and, when applicable, external customers
• Lead change management and cultural adoption efforts to embed program outcomes into the broader organization
• Create and present executive-level materials, including steering committee updates, status reports, financials, risks, and issues
• Oversee project budgets, monitor financial performance, analyze variances, and implement corrective actions as needed
• Coordinate testing, customer UAT, and validation activities in partnership with analytics and technology teams
• Serve as a liaison between workstreams to ensure holistic delivery and alignment across initiatives

Enterprise Business Consultant

Manager

• Collaborate with some of our largest clients to drive the adoption and utilization of the LexisNexis Dynamic Decision Platform
• Lead the implementation of LexisNexis Risk Solutions, overseeing the entire lifecycle of projects and engagements
• Enhance client processes, boost efficiency, and protect customers from fraudulent activity
• Design and govern implementation projects, acting as the primary point of contact (POC)
• Work closely with Strategic Account Managers to explore opportunities for further integration
• Present quarterly business reviews (QBRs) to various stakeholders, including executives and business owners

Senior Engagement Manager

• Identify, engage, and close new business opportunities within the life sciences sector, targeting pharmaceutical, biotech, and medical device companies.
• Conduct a needs assessment to understand client pain points, tailoring solutions that meet their specific compliance and regulatory requirements.
• Build and manage a robust sales pipeline, from prospecting through to contract negotiation and close, ensuring consistent progress and deal velocity.
• Stay up to date with the latest trends, challenges, and regulations within the life sciences industry, positioning our solutions as essential to achieving regulatory compliance.
• Develop a deep understanding of our Medical Device technology and services and key regulatory requirements, enabling you to effectively communicate value to clients.
• Work closely with marketing, product, and operations teams to ensure alignment on product offerings, sales strategies, and client onboarding.
• Regularly track and report on sales metrics, providing accurate forecasts and updates on pipeline status, deal progression, and revenue generation.
• Establish and nurture strong relationships with key decision-makers, including regulatory, compliance, and procurement leaders at potential client organizations.

Senior Account Executive – Medical Device

Machine Learning Engineer

• Automate and orchestrate machine learning workflows across major cloud and AI platforms (AWS, Azure, Databricks, and foundation model APIs such as OpenAI)
• Maintain and version model registries and artifact stores to ensure reproducibility and governance
• Develop and manage CI/CD for ML, including automated data validation, model testing, and deployment
• Implement ML Engineering solutions using popular MLOps platforms such as AWS SageMaker, MLflow, Azure ML
• Scale end-end custom Sagemaker pipelines
• Design and implement the engineering components of GAR+RAG systems (e.g., query interpretation and reflection, chunking, embeddings, hybrid retrieval, semantic search), manage prompt libraries, guardrails and structured output for LLMs hosted on Bedrock/SageMaker or self-hosted
• Design and implement ML pipelines that utilize Elasticsearch/OpenSearch/Solr, vector DBs, and graph DBs
• Build evaluation pipelines: offline IR metrics (NDCG, MAP, MRR), LLM quality metrics (faithfulness, grounding), and A/B testing
• Optimize infrastructure costs through monitoring, scaling strategies, and efficient resource utilization
• Stay current with the latest GAI research, NLP and RAG and apply the state-of-the-art in our experiments and systems
• Partner with Subject-Matter Experts, Product Managers, Data Scientists and Responsible AI experts to translate business problems into cutting edge data science solutions
• Collaborate and interface with Operations Engineers who deploy and run production infrastructure.

Senior ML Ops Engineer

DevOps Engineer

• Design, build, and operate highly available, scalable systems in AWS
• Write, maintain, and review Terraform to provision and manage infrastructure
• Own and improve monitoring, alerting, and observability using Grafana, Pingdom, and Uptrends
• Participate in a rotating on-call schedule, responding to production incidents and driving issues to resolution
• Lead incident response, root cause analysis, and post-incident reviews with a focus on prevention and automation
• Define and manage SLOs, SLIs, and error budgets
• Build and improve CI/CD pipelines and operational workflows using Azure DevOps and GitHub
• Work directly with application teams to improve reliability, performance, and deployability
• Automate manual operational tasks to reduce toil
• Maintain clear, actionable runbooks and documentation in Confluence
• Track work, incidents, and operational improvements using Jira and ServiceNow
• Mentor other engineers and help set SRE standards and best practices

Senior Site Reliability Engineer

Solutions Engineer

• Provide technical integration and consulting services directly to clients across financial services, collections, healthcare, government, law enforcement, and insurance verticals.
• Apply deep technical expertise and Financial Crime Compliance knowledge to support client implementations and business processes.
• Deliver installation, implementation, and configuration support using XML and JSON, maintaining accurate and current project plans throughout the engagement lifecycle.
• Translate complex technical concepts into clear, client-friendly communication for audiences with varying technical proficiency.
• Deliver advanced third-level support using tools and technologies including Excel, Power BI, C#, Python, and PowerShell.
• Lead technical presentations and product demonstrations, highlighting integration capabilities and value propositions of LexisNexis Risk Solutions products.
• Collaborate with sales, product, and support teams to ensure solutions align with client needs and product roadmaps.
• Participate in and contribute to departmental initiatives aimed at improving team efficiency, processes, and productivity.
• Engage in ongoing training and professional development to remain current with products, technologies, and industry trends.
• Mentor and support less experienced team members, sharing technical knowledge and best practices.

Customer Success Manager

Sales Executive – SAAS for Federal Government

Customer Success Manager

Sales Executive – SAAS, Federal Government

Senior Software Engineer

Digital Content Editor V

Academic Account Manager – Academic & Government

US Federal Sales Director, Research Solution

Data Scientist

Enterprise Business Consultant

Senior Engagement Manager

Senior Account Executive – Medical Device

Senior ML Ops Engineer

Senior Site Reliability Engineer

Senior Technical Solutions Consultant